Academic literature on the topic 'Intelligent software'

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Journal articles on the topic "Intelligent software"

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Wong, A. "Intelligent Software Agents." Computer Communications 23, no. 7 (March 2000): 695–96. http://dx.doi.org/10.1016/s0140-3664(99)00186-3.

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Zhou, Bao Yu, and Li Tian. "Designing Highly Intelligent Unmanned Aerial Vehicle-Borne Software." Applied Mechanics and Materials 241-244 (December 2012): 2722–27. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2722.

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The existing software borne by an unmanned aerial vehicle (UAV) is mostly made up of functional modules with a simple design for meeting its functional requirements, thus being unable for the UAV to meet the requirements for its software to be intelligent, integrated and credible. To meet the requirements for the new-type UAV to be functionally varied, highly autonomous and intelligent, we construct the intelligent database and the network-adaptive and real-time middleware so as to greatly enhance the intelligence of the UAV-borne software and the autonomous flight capability of the UAV, paving a firm foundation for enhancing the functional diversity, autonomy and intelligence of the future advanced UAV.
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Santofimia, María J., Francisco Moya, Félix J. Villanueva, David Villa, and Juan C. López. "How Intelligent Are Ambient Intelligence Systems?" International Journal of Ambient Computing and Intelligence 2, no. 1 (January 2010): 66–72. http://dx.doi.org/10.4018/jaci.2010010106.

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Since the appearance of the Ambient Intelligence paradigm, as an evolution of the Ubiquitous Computing, a great deal of the research efforts in this ?eld have been mainly aimed at anticipating user actions and needs, out of a pre?xed set. However, Ambient Intelligence is not just constrained to user behaviour pattern matching, but to wisely supervise the whole environment, satisfying those unforeseen requirements or needs, by means of rational decisions. This work points at the lack of commonsense reasoning, as the main reason underlying the existance of these idiots savant systems, capable of accomplishing very speci?c and complex tasks, but incapable of making decisions out of the pre?xed behavioral patterns. This work advocates for the integration of the commonsense reasoning and understanding capabilities as the key elements in bridging the gap between idiot savant systems and real Ambient Intelligence systems.
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Xu, Rui Yang, Xin Huang, Jie Zhang, Yulin Lu, Ge Wu, and Zheng Yan. "Software Defined Intelligent Building." International Journal of Information Security and Privacy 9, no. 3 (July 2015): 84–99. http://dx.doi.org/10.4018/ijisp.2015070105.

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The networks of intelligent building are usually consist of a great number of smart devices. Since many smart devices only support on-site configuration and upgrade, and communication between devices could be observed and even altered by attackers, efficiency and security are two key concerns in maintaining and managing the devices used in intelligent building networks. In this paper, the authors apply the technology of software defined networking to satisfy the requirement for efficiency in intelligent building networks. More specific, a protocol stack in smart devices that support OpenFlow is designed. In addition, the authors designed the lightweight security mechanism with two foundation protocols and a full protocol that uses the foundation protocols as example. Performance and session key establishment for the security mechanism are also discussed.
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Inaba, Masayuki. "Software for Intelligent Robots." Journal of the Robotics Society of Japan 30, no. 9 (2012): 824–29. http://dx.doi.org/10.7210/jrsj.30.824.

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Crawford, P. "Review: Intelligent Software Agents." Computer Bulletin 41, no. 3 (May 1, 1999): 31. http://dx.doi.org/10.1093/combul/41.3.31-c.

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Ayob, Masri, Abdul Razak Hamdan, Salwani Abdullah, Zalinda Othman, Mohd Zakree Ahmad Nazri, Kiftiah Abd Razak, Rohana Tan, et al. "Intelligent Examination Timetabling Software." Procedia - Social and Behavioral Sciences 18 (2011): 600–608. http://dx.doi.org/10.1016/j.sbspro.2011.05.087.

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Chu, James. ""Intelligent" Software-Defined Radio ( [Book/Software Reviews]." IEEE Microwave Magazine 17, no. 11 (November 2016): 82–98. http://dx.doi.org/10.1109/mmm.2016.2600950.

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Mahmudova, Shafagat. "Development of a Conceptual Model for Intelligent Software System Designing." Review of Information Engineering and Applications 9, no. 1 (April 18, 2022): 12–22. http://dx.doi.org/10.18488/79.v9i1.2967.

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This article provides information on the design of intelligent software systems. An intelligent software system refers to any software using artificial intelligence to analyze and interpret data or to communicate with systems and people. The article substantiates the relevance of the issue and highlights existing problems. The following factors are taken into consideration when assessing the problems of intelligent software system designing: easy data collection, low cost of developing intelligent systems, availability of experts and necessary resources (computers, program developers, software, etc.). The article also reports of related studies and identifies application areas. A conceptual model is developed for the design of intelligent software systems. The stages, components, directions, etc. indicated in the conceptual model for the design of intelligent software systems are studied and the characteristics of each are determined. Some examples of design types by the fields of activity are identified. The developed model can be used in the design of intelligent software systems related to any instrumental programming.
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Guo, Wang, Hui Shu, Yeming Gu, Yuyao Huang, Hao Zhao, and Yang Li. "A Novel Virus Capable of Intelligent Program Infection through Software Framework Function Recognition." Electronics 12, no. 2 (January 16, 2023): 460. http://dx.doi.org/10.3390/electronics12020460.

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Viruses are one of the main threats to the security of today’s cyberspace. With the continuous development of virus and artificial intelligence technologies in recent years, the intelligentization of virus technology has become a trend. It is of urgent significance to study and combat intelligent viruses. In this paper, we design a new type of confirmatory virus from the attacker’s perspective that can intelligently infect software frameworks. We aim for structural software as the target and use BCSD (binary code similarity detection) to identify the framework. By incorporating a software framework functional structure recognition model in the virus, the virus is enabled to intelligently recognize software framework functions in executable files. This paper evaluates the BCSD model that is suitable for a virus to carry and constructs a lightweight BCSD model with a knowledge distillation technique. This research proposes a software framework functional structure recognition algorithm, which effectively reduces the recognition precision’s dependence on the BCSD model. Finally, this study discusses the next researching direction of intelligent viruses. This paper aims to provide a reference for the research of detection technology for possible intelligent viruses. Consequently, focused and effective defense strategies could be proposed and the technical system of malware detection could be reinforced.
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Dissertations / Theses on the topic "Intelligent software"

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Chen, Kristin M., and Hsinchun Chen. "Intelligent Software Agents for Electronic Commerce." Springer, 2000. http://hdl.handle.net/10150/106448.

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Artificial Intelligence Lab, Department of MIS, University of Arizona
Electronic commerce (EC) and software agents are two of the hottest fields of research in information science. As the Internet is rapidly becomes a popular marketplace for consumers and sellers of goods and services, combining these two research areas offers lucrative opportunities both for businesses wishing to conduct transactions over the World Wide Web (WWW) and for developers of tools to facilitate this trend. The focus in this chapter will be on software agents specifically designed for electronic commerce activities. We will briefly describe the history of agent research in general, defining characteristics of agents, and will touch on the different types of agents. Following this introduction we will describe the learning and action mechanisms that make it possible for agents to perform tasks. Finally, we will describe the issues associated with the deployment of electronic commerce agents (ECAs).
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Brouse, Christopher J. "Algorithms & software for intelligent patient monitoring." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/31437.

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In Canada, more deaths occur after a patient experiences an adverse event in a hospital than from breast cancer, motor vehicle accidents and AIDS combined. Current technology contributes to the problem, by adding greater complexity to the clinician's workload. There is still significant promise that computerized assistance can improve patient safety. A clinical monitoring expert system, incorporating algorithms and expert knowledge, could automatically diagnose problems and provide advice on how best to avoid hazard. This thesis investigates the design and performance of algorithms and software for an intelligent patient monitor, which forms the foundation of a clinical monitoring expert system. An algorithm has been developed for detecting electrocautery noise in the electrocardiogram (ECG) using wavelet analysis. Electrocautery noise can lead an expert system to make incorrect diagnoses. In 15 surgical cases spanning 38.5 hours of ECG data, we achieved a false positive rate of 0.71% and a false negative rate of 0.33%. While existing hardware approaches detect activation of the noise source without any ability to assess its impact on the measured ECG, our software approach detects the presence of noise in the signal itself. Furthermore, the software approach is cheaper and easier to implement in a clinical environment than existing hardware approaches. A software framework, called iAssist, has been developed for intelligent patient monitoring. The framework is extensible, flexible, scalable, and interoperable. It supports plugins to perform data acquisition, signal processing, graphical display, data storage, and output to external devices. iAssist currently incorporates the electrocautery noise detection algorithm as a plugin for artifact rejection, as well as two plugins to detect change point events in physiological trends. In 38 surgical cases, iAssist detected 868 events, of which clinicians rated more than 50% as clinically significant and less than 7% as artifacts. Clinicians found iAssist intuitive and easy to use.
Applied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
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Liu, Huixiang. "Intelligent search techniques for large software systems." Thesis, University of Ottawa (Canada), 2002. http://hdl.handle.net/10393/6422.

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There are many tools available today to help software engineers search in source code systems. It is often the case, however, that there is a gap between what people really want to find and the actual query strings they specify. This is because a concept in a software system may be represented by many different terms, while the same term may have different meanings in different places. Therefore, software engineers often have to guess as they specify a search, and often have to repeatedly search before finding what they want. To alleviate the search problem, this thesis describes a study of what we call intelligent search techniques as implemented in a software exploration environment, whose purpose is to facilitate software maintenance. We propose to utilize some information retrieval techniques to automatically apply transformations to the query strings. The thesis first introduces the intelligent search techniques used in our study, including abbreviation concatenation and abbreviation expansion. Then it describes in detail the rating algorithms used to evaluate the query results' similarity to the original query strings. Next, we describe a series of experiments we conducted to assess the effectiveness of both the intelligent search methods and our rating algorithms. Finally, we describe how we use the analysis of the experimental results to recommend an effective combination of searching techniques for software maintenance, as well as to guide our future research.
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Sivan, Jagadha. "Building intelligent market places with software agents." [Gainesville, Fla.] : University of Florida, 2000. http://etd.fcla.edu/etd/uf/2000/ane5970/newpdf.PDF.

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Thesis (M.S.)--University of Florida, 2000.
Title from first page of PDF file. Document formatted into pages; contains viii, 81 p.; also contains graphics. Vita. Includes bibliographical references (p. 77-80).
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Janes, Dominik Sebastian. "Intelligent control system for CFD modelling software." Thesis, University of Greenwich, 2003. http://gala.gre.ac.uk/8618/.

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In this thesis we show that it is possible to create an intelligent agent capable of emulating the human ability to control CFD simulations and provide similar benefits in terms of performance, overall reliability and result accuracy. We initially consider the rule-based approach proposed by other researchers. It is argued that heuristic search is better suited to model the techniques used by human experts. The residual graphs are identified as the most important source of heuristic information relevant to the control decisions. Three different graph features are found to be most important and dedicated algorithms are developed for their extraction. A heuristic evaluation function employing the new extraction algorithms is proposed and implemented in the first version of the heuristic control system (ICS 1.0). The analysis of the test results gives rise to the next version of the system (ICS 2.0). ICS 2.0 employs an additional expert system responsible for dynamic pruning of the search space using the rules obtained by statistical analysis of the initial results. Other features include dedicated goal-driven search plans that help reduce the search space even further. The simulation results and overall improvements are compared with non-controlled runs. We present a detailed analysis of a fire case solution obtained with different control techniques. The effect of the automatic control on the accuracy of the results is explained and discussed. Finally, we provide some indications for further research that promise to provide even greater performance gains.
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Dobrynin, Mikhail. "Using intelligent agents for complex software systems maintenance." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174588678.

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Maxville, Valerie. "Strategies for the intelligent selection of components." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2012. https://ro.ecu.edu.au/theses/433.

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It is becoming common to build applications as component-intensive systems - a mixture of fresh code and existing components. For application developers the selection of components to incorporate is key to overall system quality - so they want the `best'. For each selection task, the application developer will de ne requirements for the ideal component and use them to select the most suitable one. While many software selection processes exist there is a lack of repeatable, usable, exible, automated processes with tool support. This investigation has focussed on nding and implementing strategies to enhance the selection of software components. The study was built around four research elements, targeting characterisation, process, strategies and evaluation. A Post-positivist methodology was used with the Spiral Development Model structuring the investigation. Data for the study is generated using a range of qualitative and quantitative methods including a survey approach, a range of case studies and quasiexperiments to focus on the speci c tuning of tools and techniques. Evaluation and review are integral to the SDM: a Goal-Question-Metric (GQM)-based approach was applied to every Spiral.
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Church, Lori A. "Decision support for software process management teams : an intelligent software agent approach /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA377649.

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Thesis (M.S. in Software Engineering) Naval Postgraduate School, March 2000.
Thesis advisor(s): Michael, James Bret; Osmundson, John S. "March 2000." Includes bibliographical references (p. 111-115). Also available online.
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Edmiston, Marcia R., Darrell R. Gregg, and David G. Wirth. "Decision support for reconnaissance using intelligent software agents." Thesis, Monterey, California. Naval Postgraduate School, 1998. http://hdl.handle.net/10945/8192.

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Approved for public release; distribution is unlimited
Research in reconnaissance traditionally focuses on data detection and discrimination methods. Less emphasis is placed on transforming the collected data into useful information and presenting it to key command and control nodes. Information not presented in a timely manner is excluded from the decision process. This thesis proposes a conceptual model of intelligent software agents to support the human decision process and reconnaissance- related tasks. The Mobile Agent Reconnaissance Kit (MARK) suggests a hierarchy of software agents to facilitate data integration and coordination in a network- centric multisensor environment. The model uses static and mobile agents to collect data from dispersed, heterogeneous data sources, process and fuse the data, and present the resultant information to the user in an HTML file. The authors explore applications of MARK in terms of the military Intelligence Cycle, the Joint Director of Laboratories (JDL) Technical Panel for C3I Data Fusion Model, and the Joint Operations Planning and Evaluation System (JOPES) crisis Action Planning
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Bergasa-Suso, Jorge. "Intelligent software agents for teaching across the WWW." Thesis, University of Portsmouth, 2005. https://researchportal.port.ac.uk/portal/en/theses/intelligent-software-agents-for-teaching-across-the-www(5bf2db4a-f3ef-4df3-b6bb-82c110c385fe).html.

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This dissertation describes the creation of new Web-based Teaching (WBT) systems to assist in the use of the Internet, as well as the creation of new intelligent agent systems to monitor user behaviour while browsing the World Wide Web (WWW). A key contribution to knowledge is the creation of a method to infer user learning style from user behaviour while browsing the WWW and the inference riles resulting from the application of this method. Existing commercial WBT systems provided useful tools to facilitate the use of the Internet. However, most of these systems were designed for distance learning, and not for using the Internet within classrooms, so students couls lose concentration and navigate to unrelated Web sites. Existing commercial WBT systems did not provide intelligent advice on potential sites, consider student activity or provide content-specific filtering of Web pages. A system called CITA was designed to overcome these limitations. A prototype was created using a standard proxy server as a platform fro testing the effectiveness of filtering methods. The knowledge gained from testing the prototype suggested a need for another type of software tool that provided structured, focused and controlled access to the Internet in an intuitive and non-intrusive way, relying on a minimal network infrastructure. A novel set of tools called iLessons was created to achieve these goals. iLessons enabled teachers to: gather resources from the Internet; and load lessons into student computers. iLessons also provided students with tools to create resource collections and to create coursework. Users considered iLessons to be intuitive and easy to use because it was embedded into a standard Web browser. The research moved on to create a model of a new collaborative agent system vthat filtered and recommended Web pages to students based on three different dimensions: page relevance; student learning style; and student activity. In order to automatically determine the learning style of students and recommend suitable Web pages, patterns were sought in the way students interacted with a standard Web browser and in the strucure of Web pages that were preferred by each learning style group. Two new intelligent agent systems were createdto record user activity and Web page structure while using Web browsers: Solstice and BUCAgent. Solstice was a first prototype created to test the methodology. BUCAgent was then created to record UI activity information and Web page structure features. The same technology as iLessons was used so that they could be fully integrated with it. BUCAgent was utilised in a controlled environment while volunteers completed a research task. Collected data was analysed using a data mining engine to find rules and to predict user dimensions of learning style. Rules to predict the Active/Reflective, Sensing/Intuitive and Visual/Verbal dimensions of learning style were found. It also proved that parameters in the way that users interacted with the Internet could be measured to classify users in a number of behavioural groups, such as different learning style models or larger scale psychologica; models. Systems could then adapt their behaviour to suit the behavioural traits of the user.
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Books on the topic "Intelligent software"

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Murch, Richard. Intelligent software agents. Upper Saddle River, N.J: Prentice Hall PTR, 1999.

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Brenner, Walter, Rüdiger Zarnekow, and Hartmut Wittig. Intelligent Software Agents. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80484-7.

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Intelligent agent software engineering. Hershey, PA: Idea Group Pub., 2003.

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Artificial Intelligence and Intelligent Systems. Oxford: Oxford University Press, 2005.

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Kouteris, G. Intelligent software for semiconductor instrumentation. Manchester: UMIST, 1998.

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Silhavy, Radek, Roman Senkerik, Zuzana Kominkova Oplatkova, Zdenka Prokopova, and Petr Silhavy, eds. Software Engineering in Intelligent Systems. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18473-9.

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Silhavy, Radek, ed. Intelligent Algorithms in Software Engineering. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51965-0.

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J, Roberts Ronald, ed. Intelligent software for product formulation. London: Taylor & Francis, 1998.

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1955-, Buydens L., and Schoenmakers Peter J, eds. Intelligent software for chemical analysis. Amsterdam: Elsevier, 1993.

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M, Bradshaw Jeffrey, ed. Software agents. Menlo Park, Calif: AAAI Press, 1997.

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Book chapters on the topic "Intelligent software"

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Smith, R., and E. H. Mamdani. "Intelligent software systems." In Software Agents and Soft Computing Towards Enhancing Machine Intelligence, 262–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-62560-7_50.

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Bolón-Canedo, Verónica, and Amparo Alonso-Betanzos. "Software Tools." In Intelligent Systems Reference Library, 157–71. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90080-3_9.

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Hanne, Thomas, and Rolf Dornberger. "Intelligent Software for Logistics." In Computational Intelligence in Logistics and Supply Chain Management, 153–69. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40722-7_7.

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Liu, Shaoying. "Intelligent Software Engineering Environment." In Formal Engineering for Industrial Software Development, 371–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-07287-5_20.

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Huang, Dijiang, Ankur Chowdhary, and Sandeep Pisharody. "Intelligent Software-Defined Security." In Software-Defined Networking and Security, 281–301. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2018. | Series: Data-enabled engineering: CRC Press, 2018. http://dx.doi.org/10.1201/9781351210768-13.

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Harada, Hiroshi, and Masayuki Fujise. "SDR Application for Intelligent Transport Systems." In Software Radio, 261–72. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0343-1_23.

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Brenner, Walter, Rüdiger Zarnekow, and Hartmut Wittig. "Fundamental Concepts of Intelligent Software Agents." In Intelligent Software Agents, 19–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80484-7_3.

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Brenner, Walter, Rüdiger Zarnekow, and Hartmut Wittig. "Application Areas for Intelligent Software Agents." In Intelligent Software Agents, 191–302. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80484-7_6.

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Lu, Ruqian, and Zhi Jin. "Intelligent Information Service." In Domain Modeling-Based Software Engineering, 229–68. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4487-6_7.

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Brenner, Walter, Rüdiger Zarnekow, and Hartmut Wittig. "Introduction." In Intelligent Software Agents, 1–3. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80484-7_1.

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Conference papers on the topic "Intelligent software"

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Maes, Pattie. "Intelligent software." In the 2nd international conference. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/238218.238283.

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Xie, Tao. "Intelligent Software Engineering." In ISEC '18: Innovations in Software Engineering Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3172871.3172891.

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Berkovich, Simon. "Intelligent Software Defined Storage." In 2014 5th International Conference on Computing for Geospatial Research and Application (COM.Geo). IEEE, 2014. http://dx.doi.org/10.1109/com.geo.2014.31.

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Mattox, David, Marc Slack, David Mattox, and Marc Slack. "Software agents - Intelligent and otherwise." In 35th Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-998.

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Alizadeh, Vahid, Mohamed Amine Ouali, Marouane Kessentini, and Meriem Chater. "RefBot: Intelligent Software Refactoring Bot." In 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE). IEEE, 2019. http://dx.doi.org/10.1109/ase.2019.00081.

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Andreichicov, A. V., and O. N. O.N. . "Intelligent Software Based on AHP." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 1999. http://dx.doi.org/10.13033/isahp.y1999.045.

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"Intelligent Robot Control Simulation Software." In RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication. IEEE, 2007. http://dx.doi.org/10.1109/roman.2007.4415166.

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Burnstein, I., N. Jani, S. Mannina, J. Tamsevicius, M. Goldshteyn, and L. Lendi. "Intelligent fault localization in software." In Proceedings International Test Conference 1992. IEEE, 1992. http://dx.doi.org/10.1109/test.1992.527918.

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Kun Wang, Jindong Wang, Liuqing Shen, and Na Wang. "An intelligent security defensive software." In 2010 2nd International Conference on Computer Engineering and Technology. IEEE, 2010. http://dx.doi.org/10.1109/iccet.2010.5486230.

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Moisan, Sabine. "Intelligent monitoring of software components." In 2012 First International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE). IEEE, 2012. http://dx.doi.org/10.1109/raise.2012.6227964.

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Reports on the topic "Intelligent software"

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Baumgart, C. W. Intelligent Software Tools for Advanced Computing. Office of Scientific and Technical Information (OSTI), April 2001. http://dx.doi.org/10.2172/776968.

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Kaiser, Gail E., and Peter H. Feiler. An Architecture for Intelligent Assistance in Software Development. Fort Belvoir, VA: Defense Technical Information Center, September 1986. http://dx.doi.org/10.21236/ada181743.

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Bajcsy, Ruzena. A Cooperative RSTA Research Program in Software and Intelligent Systems. Fort Belvoir, VA: Defense Technical Information Center, April 2002. http://dx.doi.org/10.21236/ada407125.

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Blinov, D. O., A. I. Fomin, A. A. Chibin, I. A. Fedorov, I. A. Denisova, and A. S. Maslova. Software prototype of an intelligent method for automatic distribution of air objects between controlled facilities in a complex organizational and technical system. OFERNiO, April 2021. http://dx.doi.org/10.12731/ofernio.2021.24805.

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Bardawil, Carol, Larry Fry, Sandy King, Linda Leszcynski, and Graham O'Neil. Artificial Intelligence Software Acquisition Program. Volume 1. Fort Belvoir, VA: Defense Technical Information Center, December 1987. http://dx.doi.org/10.21236/ada194104.

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Bardawil, Carol, Larry Fry, Sandy King, Linda Leszcynski, and Graham O'Neil. Artificial Intelligence Software Acquisition Program. Volume 2. Fort Belvoir, VA: Defense Technical Information Center, December 1987. http://dx.doi.org/10.21236/ada194239.

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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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Abstract:
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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Diaz-Herrera, Jorge L. Artificial Intelligence (AI) and Ada: Integrating AI with Mainstream Software Engineering. Fort Belvoir, VA: Defense Technical Information Center, September 1994. http://dx.doi.org/10.21236/ada286093.

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Blankenship, Donald D. The National Air Intelligence Center Software Process Improvement Effort (NAIC SPI). Fort Belvoir, VA: Defense Technical Information Center, July 2001. http://dx.doi.org/10.21236/ada388855.

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Emrich, M., A. Agarwal, B. Jairam, and N. Murthy. Potential Applications of Artificial Intelligence to the Field of Software Engineering. Fort Belvoir, VA: Defense Technical Information Center, March 1988. http://dx.doi.org/10.21236/ada216909.

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