Готові списки джерел за темами / AI TECHNIQUE

Добірка наукової літератури з теми "AI TECHNIQUE"

Автор: Grafiati

Опубліковано: 11 вересня 2023

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Статті в журналах з теми "AI TECHNIQUE"

Novelli, Claudio, Maurizio Pascadopoli, and Andrea Scribante. "Restorative Treatment of Amelogenesis Imperfecta with Prefabricated Composite Veneers." Case Reports in Dentistry 2021 (August 2, 2021): 1–11. http://dx.doi.org/10.1155/2021/3192882.

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This case report presents the use of prefabricated composite veneers for restorative treatment of amelogenesis imperfecta (AI). This technique bridges the gap between a conventional direct technique and a conventional indirect technique and introduces an alternative semidirect restorative technique for AI patients. The aim of this case report is to describe restoration of a young girl with severe AI using prefabricated composite veneers and to discuss the benefits and limitations of this technique compared to the alternative restorative techniques.

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Brown, A. G. P., F. P. Coenen, M. J. Shave, and M. W. Knight. "An AI Approach to Noise Prediction." Building Acoustics 4, no. 2 (June 1997): 137–50. http://dx.doi.org/10.1177/1351010x9700400205.

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The goal of the work described here is to produce a computationally efficient technique, with output of data that can be easily visualised, for problems involving noise prediction. An AI (Artificial Intelligence) approach is adopted. The particular techniques being applied as a part of the approach here involves, firstly, defining the geometry of the volume that we are interested in (the Geographical Space) and then later elements within that space such as objects and constraints. This is the aspect of the work which is particularly interesting since we use a technique which effectively linearises three dimensional space. The result is a significant reduction in computational requirements and a consequent increase in speed and efficiency of analysis. The technique used here for spatial representation is termed Tesseral Addressing. This technique can be combined with that for performing analysis (more correctly reasoning) within the Geographical Space. The application of the combined techniques is illustrated in the form of an analysis of a potential noise pollution problem at a residential building.

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Pandey, Priya. "Artificial Intelligence: As an innovative technique in healthcare sector and as a potent technique to fight against COVID-19." YMER Digital 21, no. 07 (July 22, 2022): 862–79. http://dx.doi.org/10.37896/ymer21.07/70.

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Artificial Intelligence (AI) is refers to an innovative technique which generally deals with the machines. AI re use do decrease or minimize the errors and defects in any field. It is a widely separated technique which is used in many fields and especially in pharama sector it is growing day by day to set the new goals and achieved the new and difficult tasks. AI is also used in the detection, diagnosis, prevention and treatment of covid-19. In the crises of covid- 19 or pandemic of covid the AI technology is used as a very potent and powerful weapon. The AI technology needs some work & time to make and innovative and bright future in health care sector. This article provides a brief overview about the technique of AI it’s applications, use of AI technique as a potent weapon in covid pandemic problems associated with AI and last but not the least feature of AI in healthcare. Keywords: Artificial Intelligence, History, Applications of AI, Advantages & Disadvantages, AI in COVID Pandemic, Litrature review, problems associated with AI

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IEDA, Mamoru. "Diagnosis technique and AI(artifical intelligence)." Journal of the Japan Society for Precision Engineering 57, no. 3 (1991): 436–38. http://dx.doi.org/10.2493/jjspe.57.436.

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Abdul-Aziz, Youssef. "Coverage Optimization for WNSs using AI Technique." International Journal of Computer Applications 177, no. 29 (January 16, 2020): 22–25. http://dx.doi.org/10.5120/ijca2020919767.

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حسن محمد صادومه, هيثم, إيمان عبد العظيم العياط, and أماني فوزي الجمل. "AI TECHNIQUE TO GENERATE COURSE SPECIFICATION'S ITEM." مجلة بحوث التربية النوعية 2022, no. 67 (May 1, 2022): 993–1004. http://dx.doi.org/10.21608/mbse.2022.256537.

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Moorthi, Prof M. Narayana. "Class Room Ambience Measurement using Ai Technique." International Journal of Engineering and Advanced Technology 11, no. 6 (August 30, 2022): 150–54. http://dx.doi.org/10.35940/ijeat.f3768.0811622.

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The word SMART is popular in everyday activities which is meant for city, road, vehicles and home through the integration of IOT (Internet of Things) and ICT (Information and Communication Technology). It is possible by using the above, our everyday activities can be monitored and recorded using advanced devices in our work environment. It is suggested to have such tools in the education institutes to have better classroom and lab infrastructure for teaching and learning environments. Now a day’s many technologies exist and our aim is to integrate all the existing and new technologies to develop an embedded system application to make the classroom to be more smart and automated. In this context we will study how to design and develop the class room ambience measurement using AI technique. The machine is so smart by identifying the empty chairs and calling individual persons and occupy the place near to others so that the fan, light usage can me minimum which is possible through intelligent device and its prototype model is proposed here.

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Ramesh Birajdar, Mahesh, Tabasum Bashir Patait, Alisha Rafik Sayyad, Pratik Sudhakar Jangam, Swpnil Sudhakar Bhosle, and Ashish Anna Malgave. "Electrical vehicle speed control by AI technique." ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY 7, no. 2 (August 18, 2021): 25–28. http://dx.doi.org/10.33130/ajct.2021v07i02.005.

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NAKAGAWA, Masayuki, Sadao FUJII, Masayoshi UNO, and Hiroshi OGAWA. "Design Window Search Based on AI Technique." Journal of Nuclear Science and Technology 29, no. 11 (November 1992): 1116–19. http://dx.doi.org/10.1080/18811248.1992.9731643.

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Galland, Jean-Pierre. "AZF : un débat technique qu'il faut démocratiser." Alternatives Internationales 48, no. 9 (September 8, 2010): 55. http://dx.doi.org/10.3917/ai.048.0055.

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Дисертації з теми "AI TECHNIQUE"

Hegemann, Lena. "Reciprocal Explanations : An Explanation Technique for Human-AI Partnership in Design Ideation." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281339.

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Advancements in creative artificial intelligence (AI) are leading to systems that can actively work together with designers in tasks such as ideation, i.e. the creation, development, and communication of ideas. In human group work, making suggestions and explaining the reasoning behind them as well as comprehending other group member’s explanations aids reflection, trust, alignment of goals and inspiration through diverse perspectives. Despite their ability to inspire through independent suggestions, state-of-the-art creative AI systems do not leverage these advantages of group work due to missing or one-sided explanations. For other use cases, AI systems that explain their reasoning are already gathering wide research interest. However, there is a knowledge gap on the effects of explanations on creativity. Furthermore, it is unknown whether a user can benefit from also explaining their contributions to an AI system. This thesis investigates whether reciprocal explanations, a novel technique which combines explanations from and to an AI system, improve the designers’ and AI’s joint exploration of ideas. I integrated reciprocal explanations into an AI aided tool for mood board design, a common method for ideation. In our implementation, the AI system uses text to explain which features of its suggestions match or complement the current mood board. Occasionally, it asks for user explanations providing several options for answers that it reacts to by aligning its strategy. A study was conducted with 16 professional designers who used the tool to create mood boards followed by presentations and semi-structured interviews. The study emphasized a need for explanations that make the principles of the system transparent and showed that alignment of goals motivated participants to provide explanations to the system. Also, enabling users to explain their contributions to the AI system facilitated reflection on their own reasons.
Framsteg inom kreativ artificiell intelligens (AI) har lett till system som aktivt kan samarbeta med designers under idéutformningsprocessen, dvs vid skapande, utveckling och kommunikation av idéer. I grupparbete är det viktigt att kunna göra förslag och förklara resonemanget bakom dem, samt förstå de andra gruppmedlemmarnas resonemang. Detta ökar reflektionsförmågan och förtroende hos medlemmarna, samt underlättar sammanjämkning av mål och ger inspiration genom att höra olika perspektiv. Trots att system, baserade på kreativ artificiell intelligens, har förmågan att inspirera genom sina oberoende förslag, utnyttjar de allra senaste kreativa AI-systemen inte dessa fördelar för att facilitera grupparbete. Detta är på grund av AI-systemens bristfälliga förmåga att resonera över sina förslag. Resonemangen är ofta ensidiga, eller saknas totalt. AI-system som kan förklara sina resonemang är redan ett stort forskningsintresse inom många användningsområden. Dock finns det brist på kunskap om AI-systemens påverkan på den kreativa processen. Dessutom är det okänt om en användare verkligen kan dra nytta av möjligheten att kunna förklara sina designbeslut till ett AI-system. Denna avhandling undersöker om ömsesidiga förklaringar, en ny teknik som kombinerar förklaringar från och till ett AI system, kan förbättra designerns och AI:s samarbete under utforskningen av idéer. Jag integrerade ömsesidiga förklaringar i ett AI-hjälpmedel som underlättar skapandet av stämningsplank (eng. mood board), som är en vanlig metod för konceptutveckling. I vår implementering använder AI-systemet textbeskrivningar för att förklara vilka delar av dess förslag som matchar eller kompletterar det nuvarande stämningsplanket. Ibland ber den användaren ge förklaringar, så den kan anpassa sin förslagsstrategi efter användarens önskemål. Vi genomförde en studie med 16 professionella designers som använde verktyget för att skapa stämningsplank. Feedback samlades genom presentationer och semistrukturerade intervjuer. Studien betonade behovet av förklaringar och resonemang som gör principerna bakom AI-systemet transparenta för användaren. Höjd sammanjämkning mellan användarens och systemets mål motiverade deltagarna att ge förklaringar till systemet. Genom att göra det möjligt för användare att förklara sina designbeslut för AI-systemet, förbättrades också användarens reflektionsförmåga över sina val.

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GUPTA, NIDHI. "AUTOMATIC GENERATION CONTROL OF INTERCONNECTED MULTI AREA POWER SYSTEM." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18414.

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Currently, power system operation and control with AGC are undergoing fundamental changes due to rapidly increasing amount of renewable sources, energy storage system, restructuring and emerging of new types of power generation, consumption and power electronics technologies. Continuous growth in size and complexity, stochastically changing power demands, system modeling errors, alterations in electric power system structures and variations in the system parameters over the time has turned AGC task into a challenging one. Infrastructure of the intelligent power system should effectively support the provision of auxiliary services such as an AGC system from various sources through intelligent schemes. Literature survey shows that performance of AGC of interconnected power system with diverse sources gets improved by changing in controller structure, using intelligent optimization techniques for controller parameters, adding storage system and by considering different participation of diverse sources in multi area power systems. Hence, proposing and implementing new controller approaches using high performance heuristic optimization algorithms to real world problems are always welcomed. Performance of many controllers depends on proper selection of certain algorithms and specific control parameters. Hence, the goal of the present study is to propose different types of new supplementary controller to achieve better dynamic performances in multi-area with diverse source power systems, namely two area power system with and without non-linearity and three area power system with optimal and energy storage system. Based on the extensive literature review on the control designs of AGC of interconnected power system, it has been felt that new control techniques for design of AGC regulators for interconnected power system including vi renewable sources. The main objective of the proposed research work is to design new AGC regulators and develop simple, robust and easy to implement as compared with the available control techniques. The problem of nonlinearity in interconnected power system with diverse sources has also been addressed with suitable control algorithms. The presented work is divided into nine chapters. Chapter 1 deals with the introduction of AGC of power system. Widespread review of the taxonomy of optimization algorithms is presented in this chapter. Chapter 2 presents a critical review of AGC schemes in interconnected multi area power system with diverse sources. Chapter 3 stresses on the modelling of diverse sources power systems under consideration. The main simulation work starts from Chapter 4. In Chapter 4, the study is firstly conducted to propose novel Jaya based AGC of two area interconnected thermal-hydro- gas power system with varying participation of sources. In Chapter 5, novel Jaya based AI technique is further employed on realistic power system by considering non linearities like Governor Dead band (GDB), Generation Rate Constraint (GRC) and Boiler dynamics. The study is done on Jaya based AGC of two area interconnected thermal-hydro-wind and thermal-hydro-diesel power system with and without nonlinearities by considering step load and random perturbation at different control areas. In Chapter 6, designing of Optimal AGC regulator for three different three-area interconnected multi source power systems has been planned. In each power system, optimal AGC regulators have been designed by using different structures of cost weighting matrices (Q an R). vii In Chapter 7, implementation of Superconducting Magnetic Energy Storage System (SMES) in operation and control of AGC of three-area multi source power systems has been studied. Analysis of PSO tuned Integral controller for AGC of three area interconnected multi source power systems with and without SMES by considering step load perturbation at different control areas has bee done. Comparative performance of different bio-inspired artificial technique has been presented on AGC of three area interconnected power system with SMES. Chapter 8, presents AGC of three area multi source interconnected power systems by including and excluding Battery Energy Storage System (BESS) at step load perturbation in different control areas. In Chapter 9 - the performance of different control techniques presented for AGC of multi area interconnected multi source power system has been summarized and the scope of further work in this area has been highlighted.

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Giorgianni, Giulia. "Analisi dei principi e dei metodi per la valutazione della sostenibilità dei prodotti e dei processi con un'applicazione ai componenti per l’edilizia." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.

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Tale elaborato si pone l’obiettivo di analizzare una tematica oggigiorno molto discussa, ma tuttora per molti versi inesplorata: la sostenibilità. Esso è stato scritto con la volontà di rendere disponibile uno scritto di consultazione che fornisca una panoramica il più possibile completa sugli studi e le metodologie applicative elaborati fino ad ora connessi al tema della sostenibilità. La logica con cui lo scritto è articolato, prevede in primis un inquadramento generale sul tema della sostenibilità, fortemente connesso con il concetto di Life Cycle Thinking, e prosegue concentrando l’attenzione su aspetti via via più specifici. Il focus dell’analisi si concentra infatti sullo studio delle singole tecniche del ciclo di vita e successivamente sulle potenzialità di applicazione delle stesse ad uno specifico settore: quello edilizio. All’interno di questo settore è poi fornito un dettaglio in merito ai materiali ceramici per i quali si è intrapreso un serio percorso verso l’applicazione concreta dei principi dello sviluppo sostenibile. Per consolidare i temi trattati, l’elaborato si concentra infine sull’analisi di due studi applicativi: uno studio di Life Cycle Assessment e uno di Life Cycle Costing realizzati al fine di studiare i profili ambientale ed economico delle piastrelle ceramiche in contrapposizione a quelle in marmo.

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Hopkins, Colin William. "Plan delegation in a multiagent environment." Thesis, University of Essex, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235829.

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Persson, Martin. "Development of three AI techniques for 2D platform games." Thesis, Karlstad University, Division for Information Technology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-1.

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This thesis serves as an introduction to anyone that has an interest in artificial intelligence games and has experience in programming or anyone who knows nothing of computer games but wants to learn about it. The first part will present a brief introduction to AI, then it will give an introduction to games and game programming for someone that has little knowledge about games. This part includes game programming terminology, different game genres and a little history of games. Then there is an introduction of a couple of common techniques used in game AI. The main contribution of this dissertation is in the second part where three techniques that never were properly implemented before 3D games took over the market are introduced and it is explained how they would be done if they were to live up to today’s standards and demands. These are: line of sight, image recognition and pathfinding. These three techniques are used in today’s 3D games so if a 2D game were to be released today the demands on the AI would be much higher then they were ten years ago when 2D games stagnated. The last part is an evaluation of the three discussed topics.

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Ko, Kai-Chung. "Protocol test sequence generation and analysis using AI techniques." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/29192.

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This thesis addresses two major issues in protocol conformance testing: test sequence generation and test result analysis. For test sequence generation, a new approach based on the constraint satisfaction problem (CSP) techniques, which is widely used in the AI community, is presented. This method constructs a unique test sequence for a given FSM by using an initial test sequence, such as a transition tour or an UIO test sequence, and incrementally generating a set of test subsequences which together represent the constraints imposed on the overall structure of the FSM. The new method not only generates test sequence with fault coverage which is at least as good as the one provided by the existing methods, but also allows the implementation under test (IUT) to have a larger number of states than that in the specification. In addition, the new method also lends itself naturally to both test result analysis and fault coverage measurement. For test result analysis, the CSP method uses the observed sequence as the initial sequence, constructs all fault models which satisfy the initial sequence and introduces additional subsequences to pinpoint the IUT fault model. In addition, a second method for test result analysis is proposed, which is originated from a model of diagnostic reasoning from first principle, another well-known AI techniques which produces all minimal diagnoses by considering the overall consistency of the system together with the observation. Unlike the first method, the second method does not require the computation of all fault models explicitly, and hence is considered to be more suitable for large systems. To our knowledge, the proposed methods in this thesis represent the first attempt in applying AI techniques to the problem of protocol test sequence generation and analysis.
Science, Faculty of
Computer Science, Department of
Graduate

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Bishop, J. M. "Anarchic techniques for pattern classification." Thesis, University of Reading, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.234667.

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Schinner, Charles Edward 1957. "Electronic manufacturing test cell automation and configuration using AI techniques." Thesis, The University of Arizona, 1990. http://hdl.handle.net/10150/278327.

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This thesis utilizes artificial intelligence techniques and problem specific knowledge to assist in the design of an manufacturing test cell for electronic products. The electronic printed circuit board (PCB) is subjected to one or more functional evaluation(s) during the manufacturing process. The purpose of these evaluations is to assure product quality. This thesis is focused on, with historical knowledge, the configuration of this testing environment and associated fault isolation processes. By using such knowledge, an improvement in the testing efficiency will be realized which will allow the overall product cost to be minimized.

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Rafiq, M. Y. "Artificial intelligence techniques for the structural design of buildings." Thesis, University of Strathclyde, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382446.

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Podder, Tanmay. "ANALYSIS & STUDY OF AI TECHNIQUES FORAUTOMATIC CONDITION MONITORING OFRAILWAY TRACK INFRASTRUCTURE : Artificial Intelligence Techniques." Thesis, Högskolan Dalarna, Datateknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:du-4757.

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Since the last decade the problem of surface inspection has been receiving great attention from the scientific community, the quality control and the maintenance of products are key points in several industrial applications.The railway associations spent much money to check the railway infrastructure. The railway infrastructure is a particular field in which the periodical surface inspection can help the operator to prevent critical situations. The maintenance and monitoring of this infrastructure is an important aspect for railway association.That is why the surface inspection of railway also makes importance to the railroad authority to investigate track components, identify problems and finding out the way that how to solve these problems. In railway industry, usually the problems find in railway sleepers, overhead, fastener, rail head, switching and crossing and in ballast section as well. In this thesis work, I have reviewed some research papers based on AI techniques together with NDT techniques which are able to collect data from the test object without making any damage. The research works which I have reviewed and demonstrated that by adopting the AI based system, it is almost possible to solve all the problems and this system is very much reliable and efficient for diagnose problems of this transportation domain. I have reviewed solutions provided by different companies based on AI techniques, their products and reviewed some white papers provided by some of those companies. AI based techniques likemachine vision, stereo vision, laser based techniques and neural network are used in most cases to solve the problems which are performed by the railway engineers.The problems in railway handled by the AI based techniques performed by NDT approach which is a very broad, interdisciplinary field that plays a critical role in assuring that structural components and systems perform their function in a reliable and cost effective fashion. The NDT approach ensures the uniformity, quality and serviceability of materials without causing any damage of that materials is being tested. This testing methods use some way to test product like, Visual and Optical testing, Radiography, Magnetic particle testing, Ultrasonic testing, Penetrate testing, electro mechanic testing and acoustic emission testing etc. The inspection procedure has done periodically because of better maintenance. This inspection procedure done by the railway engineers manually with the aid of AI based techniques.The main idea of thesis work is to demonstrate how the problems can be reduced of thistransportation area based on the works done by different researchers and companies. And I have also provided some ideas and comments according to those works and trying to provide some proposal to use better inspection method where it is needed.The scope of this thesis work is automatic interpretation of data from NDT, with the goal of detecting flaws accurately and efficiently. AI techniques such as neural networks, machine vision, knowledge-based systems and fuzzy logic were applied to a wide spectrum of problems in this area. Another scope is to provide an insight into possible research methods concerning railway sleeper, fastener, ballast and overhead inspection by automatic interpretation of data.In this thesis work, I have discussed about problems which are arise in railway sleepers,fastener, and overhead and ballasted track. For this reason I have reviewed some research papers related with these areas and demonstrated how their systems works and the results of those systems. After all the demonstrations were taking place of the advantages of using AI techniques in contrast with those manual systems exist previously.This work aims to summarize the findings of a large number of research papers deploying artificial intelligence (AI) techniques for the automatic interpretation of data from nondestructive testing (NDT). Problems in rail transport domain are mainly discussed in this work. The overall work of this paper goes to the inspection of railway sleepers, fastener, ballast and overhead.

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Книги з теми "AI TECHNIQUE"

Wenjing, Zhang, ed. Zui ai dong wu pian. Taibei Xian Zhonghe Shi: Niu jin jia zu guo ji chu ban you xian gong si, 2003.

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Yi, Chŏng-a. Xiao peng you zui ai hua de chao ke ai cha tu. Taibei Shi: San cai wen hua gu fen you xian gong si, 2017.

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Ganaha, Yōko. Ai shang gang zhu bi ke ai cai hui: 3 fen zhong kuai le qing su xie. Taibei Shi: San cai wen hua chu ban shi ye you xian gong si, 2012.

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Boutique-Sha, ed. 3 tian xue hui ke ai cha hua. Beijing: Hua xue gong ye chu ban she, 2012.

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Hongru, Yang, ed. Rick Rack San tang ke ai shang ji feng. Taibei Xian Zhonghe Shi: San yue wen hua tu shu shi ye you xian gong si chu ban, 2010.

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Ganaha, Yōko. Ai shang gang zhu bi ke ai cai hui: Wo de mo fa miao mo tie, 1 tu ma shang bian 3 tu. Taibei Shi: San cai wen hua chu ban shi ye you xian gong si, 2013.

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Se qian bi de ai quan shi jie. Beijing Shi: Ji xie gong ye chu ban she, 2014.

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Sakamoto, Nao. Hong lan hei! 3 se gang zhu bi de ke ai tu ya: Huo yong hong lan hei gang zhu bi, hua chu jing yan de ke ai cha hua. Taibei Shi: San cai wen hua chu ban shi ye you xian gong si, 2011.

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Cai hui se qian bi zhi lü: Ke ai dong wu pian. Shenyang Shi: Liaoning ke xue ji shu chu ban she, 2014.

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Takashima, Yōko. Gen zhe miao jiu hui hua!: Chao ke ai yuan zi bi cha lian xi zhang. Xinbei Shi: Ren lei zhi ku shu wei ke ji gu fen you xian gong si, 2016.

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Soualmi, Abdallah, Adel Alti, and Lamri Laouamer. "Medical Data Protection Using Blind Watermarking Technique." In Enabling AI Applications in Data Science, 557–76. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52067-0_25.

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Khushaba, Rami N., Ahmed Al-Ani, Adel Al-Jumaily, and Hung T. Nguyen. "A Hybrid Nonlinear-Discriminant Analysis Feature Projection Technique." In AI 2008: Advances in Artificial Intelligence, 544–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89378-3_55.

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Alharbi, Abdullah Semran, Yuefeng Li, and Yue Xu. "Integrating LDA with Clustering Technique for Relevance Feature Selection." In AI 2017: Advances in Artificial Intelligence, 274–86. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63004-5_22.

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Alazab, Mamoun, Mofakharul Islam, and Sitalakshmi Venkatraman. "Towards Automatic Image Segmentation Using Optimised Region Growing Technique." In AI 2009: Advances in Artificial Intelligence, 131–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10439-8_14.

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Yoon, Won-Jung, and Kyu-Sik Park. "Content-Based Classification of Music Using VQ-Multifeature Clustering Technique." In AI 2005: Advances in Artificial Intelligence, 927–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11589990_112.

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Borah, Samarjeet, and Sambit Kumar Mishra. "Scheduling Tasks in Virtual Machines Using Ant Colony Optimization Technique." In AI in Manufacturing and Green Technology, 11–18. First edition. | Boca Raton, FL : CRC Press, 2020. |: CRC Press, 2020. http://dx.doi.org/10.1201/9781003032465-2.

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Pravilovic, Sonja, Annalisa Appice, and Donato Malerba. "An Intelligent Technique for Forecasting Spatially Correlated Time Series." In AI*IA 2013: Advances in Artificial Intelligence, 457–68. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03524-6_39.

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Herrmann, Christoph S. "Fuzzy Logic as interfacing technique in hybrid AI-systems." In Fuzzy Logic in Artificial Intelligence Towards Intelligent Systems, 69–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-62474-0_6.

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Indla, Aditya, Aneesh Sharma, and Chi-Yao Weng. "AI-Based Farm Survey Technique for Efficient Fruit Harvesting." In Advances in Intelligent Systems and Computing, 18–26. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46828-6_2.

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Rajaona, Fortunat, Ioana Boureanu, Vadim Malvone, and Francesco Belardinelli. "Program Semantics and Verification Technique for AI-Centred Programs." In Formal Methods, 473–91. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27481-7_27.

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Тези доповідей конференцій з теми "AI TECHNIQUE"

D'Aloia, Matteo, Annalisa Longo, Gianluca Guadagno, Mariano Pulpito, Paolo Fornarelli, Pietro Nicola Laera, Dario Manni, and Maria Rizzi. "IoT Indoor Localization with AI Technique." In 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT). IEEE, 2020. http://dx.doi.org/10.1109/metroind4.0iot48571.2020.9138275.

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Dhoke, Suhas B., Anil Karwankar, and Varsha Ratnaparkhe. "Estimation of hemoglobin using AI technique." In 2017 1st International Conference on Intelligent Systems and Information Management (ICISIM). IEEE, 2017. http://dx.doi.org/10.1109/icisim.2017.8122147.

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Khalfallah, Ali Cherif, Hadj Said Naima, and Ali Pacha Adda. "A New Image Scrambling Technique Only With A Specific Permutation." In 2021 International Conference on Artificial Intelligence for Cyber Security Systems and Privacy (AI-CSP). IEEE, 2021. http://dx.doi.org/10.1109/ai-csp52968.2021.9671111.

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Rasheduzzaman, Md, Yakut Marzan, and Mohammad Monirujjaman Khan. "Wireless Power Transfer By Highly Resonant Technique." In 2021 IEEE World AI IoT Congress (AIIoT). IEEE, 2021. http://dx.doi.org/10.1109/aiiot52608.2021.9454240.

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Takumi, Munenori, Keisuke Uchida, Katsuhiro Ishii, and Ken-ichi Kitayama. "Simplified detection technique of compressed image using CMOS area sensor." In AI and Optical Data Sciences II, edited by Ken-ichi Kitayama and Bahram Jalali. SPIE, 2021. http://dx.doi.org/10.1117/12.2577405.

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Seita, Matteo, Xiaogang Wang, and Mallory Wittwer. "A machine-learning-based optical microscopy technique for crystal orientation mapping." In AI and Optical Data Sciences II, edited by Ken-ichi Kitayama and Bahram Jalali. SPIE, 2021. http://dx.doi.org/10.1117/12.2577469.

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Moumena, Ahmed. "A New Intelligent Jamming Attacks Detection using FCM clustering technique Based on Data Mining for Wireless Communication." In 2021 International Conference on Artificial Intelligence for Cyber Security Systems and Privacy (AI-CSP). IEEE, 2021. http://dx.doi.org/10.1109/ai-csp52968.2021.9671122.

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Hsiao-Ching Chen, Hui-Ming Wee, Yung-Tsan Jou, and Yao-Hung Hsieh. "Analyzing customer satisfaction and service level using AI technique." In 2007 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE, 2007. http://dx.doi.org/10.1109/ieem.2007.4419477.

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Malarvizhi, P., R. Dayana, D. Srivathsan, SR Keerthi Varman, and V. Shashank. "Integrated Smart Farming Technique Using IOT and AI-ML." In 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC). IEEE, 2022. http://dx.doi.org/10.1109/iihc55949.2022.10060301.

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Subashini, P., P. V. Hareesh Kumar, S. Lekshmi, M. Krishnaveni, and T. T. Dhivyaprabha. "Improved Noise Filtering Technique For Wake Detection In SAR Image Under Rough Sea Condition." In 2021 IEEE World AI IoT Congress (AIIoT). IEEE, 2021. http://dx.doi.org/10.1109/aiiot52608.2021.9454171.

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Звіти організацій з теми "AI TECHNIQUE"

Khan, Saif, and Alexander Mann. AI Chips: What They Are and Why They Matter. Center for Security and Emerging Technology, April 2020. http://dx.doi.org/10.51593/20190014.

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The success of modern AI techniques relies on computation on a scale unimaginable even a few years ago. What exactly are the AI chips powering the development and deployment of AI at scale and why are they essential? Saif M. Khan and Alexander Mann explain how these chips work, why they have proliferated, and why they matter.

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Sedova, Katerina, Christine McNeill, Aurora Johnson, Aditi Joshi, and Ido Wulkan. AI and the Future of Disinformation Campaigns: Part 2: A Threat Model. Center for Security and Emerging Technology, December 2021. http://dx.doi.org/10.51593/2021ca011.

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Artificial intelligence offers enormous promise to advance progress and powerful capabilities to disrupt it. This policy brief is the second installment of a series that examines how advances in AI could be exploited to enhance operations that automate disinformation campaigns. Building on the RICHDATA framework, this report describes how AI can supercharge current techniques to increase the speed, scale, and personalization of disinformation campaigns.

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Faybishenko, Boris, Lavanya Ramakrishnan, Tom Powell, Bhavna Arora, John Wu, and Deb Agarwall. On AI Prediction of Hydrological Processes Based on Integration of Retrospective and Forecasting ML Techniques. Office of Scientific and Technical Information (OSTI), April 2021. http://dx.doi.org/10.2172/1769756.

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SAINI, RAVINDER, AbdulKhaliq Alshadid, and Lujain Aldosari. Investigation on the application of artificial intelligence in prosthodontics. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2022. http://dx.doi.org/10.37766/inplasy2022.12.0096.

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Review question / Objective: 1. Which artificial intelligence techniques are practiced in dentistry? 2. How AI is improving the diagnosis, clinical decision making, and outcome of dental treatment? 3. What are the current clinical applications and diagnostic performance of AI in the field of prosthodontics? Condition being studied: Procedures for desktop designing and fabrication Computer-aided design (CAD/CAM) in particular have made their way into routine healthcare and laboratory practice.Based on flat imagery, artificial intelligence may also be utilized to forecast the debonding of dental repairs. Dental arches in detachable prosthodontics may be categorized using Convolutional neural networks (CNN). By properly positioning the teeth, machine learning in CAD/CAM software can reestablish healthy inter-maxillary connections. AI may assist with accurate color matching in challenging cosmetic scenarios that include a single central incisor or many front teeth. Intraoral detectors can identify implant placements in implant prosthodontics and instantly input them into CAD software. The design and execution of dental implants could potentially be improved by utilizing AI.

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Rudd, Ian. Leveraging Artificial Intelligence and Robotics to Improve Mental Health. Intellectual Archive, July 2022. http://dx.doi.org/10.32370/iaj.2710.

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Artificial Intelligence (AI) is one of the oldest fields of computer science used in building structures that look like human beings in terms of thinking, learning, solving problems, and decision making (Jovanovic et al., 2021). AI technologies and techniques have been in application in various aspects to aid in solving problems and performing tasks more reliably, efficiently, and effectively than what would happen without their use. These technologies have also been reshaping the health sector's field, particularly digital tools and medical robotics (Dantas & Nogaroli, 2021). The new reality has been feasible since there has been exponential growth in the patient health data collected globally. The different technological approaches are revolutionizing medical sciences into dataintensive sciences (Dantas & Nogaroli, 2021). Notably, with digitizing medical records supported the increasing cloud storage, the health sector created a vast and potentially immeasurable volume of biomedical data necessary for implementing robotics and AI. Despite the notable use of AI in healthcare sectors such as dermatology and radiology, its use in psychological healthcare has neem models. Considering the increased mortality and morbidity levels among patients with psychiatric illnesses and the debilitating shortage of psychological healthcare workers, there is a vital requirement for AI and robotics to help in identifying high-risk persons and providing measures that avert and treat mental disorders (Lee et al., 2021). This discussion is focused on understanding how AI and robotics could be employed in improving mental health in the human community. The continued success of this technology in other healthcare fields demonstrates that it could also be used in redefining mental sicknesses objectively, identifying them at a prodromal phase, personalizing the treatments, and empowering patients in their care programs.

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Okrent, D. Joint application of AI techniques, PRA and disturbance analysis methodology to problems in the maintenance and design of nuclear power plants. Office of Scientific and Technical Information (OSTI), March 1989. http://dx.doi.org/10.2172/5726625.

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Okrent, D. Joint application of AI techniques, PRA and disturbance analysis methodology to problems in the maintenance and design of nuclear power plants. Final report. Office of Scientific and Technical Information (OSTI), March 1989. http://dx.doi.org/10.2172/10129405.

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WANG, MIN, Sheng Chen, Changqing Zhong, Tao Zhang, Yongxing Xu, Hongyuan Guo, Xiaoying Wang, Shuai Zhang, Yan Chen, and Lianyong Li. Diagnosis using artificial intelligence based on the endocytoscopic observation of the gastrointestinal tumours: a systematic review and meta-analysis. InPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2023. http://dx.doi.org/10.37766/inplasy2023.2.0096.

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Review question / Objective: With the development of endoscopic techniques, several diagnostic endoscopy methods are available for the diagnosis of malignant lesions, including magnified pigmented endoscopy and narrow band imaging (NBI).The main goal of endoscopy is to achieve the real-time diagnostic evaluation of the tissue, allowing an accurate assessment comparable to histopathological diagnosis based on structural and cellular heterogeneity to significantly improve the diagnostic rate for cancerous tissues. Endocytoscopy (ECS) is based on ultrahigh magnification endoscopy and has been applied to endoscopy to achieve microscopic observation of gastrointestinal (GI) cells through tissue staining, thus allowing the differentiation of cancerous and noncancerous tissues in real time.To date, ECS observation has been applied to the diagnosis of oesophageal, gastric and colorectal tumours and has shown high sensitivity and specificity.Despite the highly accurate diagnostic capability of this method, the interpretation of the results is highly dependent on the operator's skill level, and it is difficult to train all endoscopists to master all methods quickly. Artificial intelligence (AI)-assisted diagnostic systems have been widely recognized for their high sensitivity and specificity in the diagnosis of GI tumours under general endoscopy. Few studies have explored on ECS for endoscopic tumour identification, and even fewer have explored ECS-based AI in the endoscopic identification of GI tumours, all of which have reached different conclusions. Therefore, we aimed to investigate the value of ECS-based AI in detecting GI tumour to provide evidence for its clinical application.

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