Academic literature on the topic 'ML TECHNIQUES'
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Journal articles on the topic "ML TECHNIQUES"
Jeevana, P., T. Nandini, D. Srilekha, G. Dinesh, and Mrs Archana. "Diabetic Prediction using ML Techniques." YMER Digital 21, no. 04 (April 30, 2022): 585–93. http://dx.doi.org/10.37896/ymer21.04/59.
Full textVenkata Vara Prasad, D., P. Senthil Kumar, Lokeswari Y. Venkataramana, G. Prasannamedha, S. Harshana, S. Jahnavi Srividya, K. Harrinei, and Sravya Indraganti. "Automating water quality analysis using ML and auto ML techniques." Environmental Research 202 (November 2021): 111720. http://dx.doi.org/10.1016/j.envres.2021.111720.
Full textKosinska, Joanna, and Maciej Tobiasz. "Detection of Cluster Anomalies With ML Techniques." IEEE Access 10 (2022): 110742–53. http://dx.doi.org/10.1109/access.2022.3216080.
Full textDerangula, Sirisha. "Identification of phishing websites using ML techniques." International Journal of Communication and Information Technology 1, no. 2 (July 1, 2020): 28–32. http://dx.doi.org/10.33545/2707661x.2020.v1.i2a.16.
Full textNanajkar, Jyotsna, Mayuresh Warang, Pratik Suthar, Shivam Shinde, and Atharv Pawar. "DDoS Attack Detection Using ML/DL Techniques." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (January 8, 2024): 1–10. http://dx.doi.org/10.55041/ijsrem27967.
Full textKumar, Sachin, and Subhasree Bhattacharjee. "REVIEW OF AI/ML TECHNIQUES ON COVID-19." International Journal of Engineering Applied Sciences and Technology 7, no. 5 (September 1, 2022): 116–18. http://dx.doi.org/10.33564/ijeast.2022.v07i05.020.
Full textAbuzaid, Nawal. "Image SPAM Detection Using ML and DL Techniques." International Journal of Advances in Soft Computing and its Applications 14, no. 1 (March 28, 2022): 227–43. http://dx.doi.org/10.15849/ijasca.220328.15.
Full textT., Logeswari. "Performance Analysis of Ml Techniques for Spam Filtering." International Research Journal on Advanced Science Hub 2, Special Issue ICIES 9S (November 3, 2020): 64–69. http://dx.doi.org/10.47392/irjash.2020.161.
Full textKore, Rahul C., Prachi Ray, Priyanka Lade, and Amit Nerurkar. "Legal Document Summarization Using Nlp and Ml Techniques." International Journal of Engineering and Computer Science 9, no. 05 (May 20, 2020): 25039–46. http://dx.doi.org/10.18535/ijecs/v9i05.4488.
Full textSethuraman, Sriram, V. S. Nithya, and D. Venkata Narayanababu Laveti. "Noniterative Content-Adaptive Distributed Encoding Through ML Techniques." SMPTE Motion Imaging Journal 127, no. 9 (October 2018): 50–55. http://dx.doi.org/10.5594/jmi.2018.2862647.
Full textDissertations / Theses on the topic "ML TECHNIQUES"
Garg, Anushka. "Comparing Machine Learning Algorithms and Feature Selection Techniques to Predict Undesired Behavior in Business Processesand Study of Auto ML Frameworks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285559.
Full textUnder de senaste åren har omfattningen av maskininlärnings algoritmer och tekniker tagit ett steg i alla branscher (till exempel rekommendationssystem, beteendeanalyser av användare, finansiella applikationer och många fler). I praktiken spelar de en viktig roll för att utnyttja kraften av den enorma mängd data vi för närvarande genererar dagligen i vår digitala värld.I den här studien presenterar vi en omfattande jämförelse av olika övervakade maskininlärnings algoritmer och funktionsvalstekniker för att bygga en bästa förutsägbar modell som en utgång. Således hjälper denna förutsägbara modell företag att förutsäga oönskat beteende i sina affärsprocesser. Dessutom har vi undersökt automatiseringen av alla inblandade steg (från att förstå data till implementeringsmodeller) i den fullständiga maskininlärning rörledningen, även känd som AutoML, och tillhandahåller en omfattande undersökning av de olika ramarna som introducerats i denna domän. Dessa ramar introducerades för att lösa problemet med CASH (kombinerat algoritmval och optimering av Hyper-parameter), vilket i grunden är automatisering av olika rörledningar som är inblandade i processen att bygga en förutsägbar modell för maskininlärning.
Boualem, Abdel-Malek. "Ml-tasc : systeme de conversion de formalismes de langages techniques et scientifiques dans un environnement a syntaxe controlee et a contexte limite. traduction automatique multilingue." Nice, 1993. http://www.theses.fr/1993NICE4683.
Full textPIROZZI, MICHELA. "Development of a simulation tool for measurements and analysis of simulated and real data to identify ADLs and behavioral trends through statistics techniques and ML algorithms." Doctoral thesis, Università Politecnica delle Marche, 2020. http://hdl.handle.net/11566/272311.
Full textWith a growing population of elderly people, the number of subjects at risk of pathology is rapidly increasing. Many research groups are studying pervasive solutions to continuously and unobtrusively monitor fragile subjects in their homes, reducing health-care costs and supporting the medical diagnosis. Anomalous behaviors while performing activities of daily living (ADLs) or variations on behavioral trends are of great importance. To measure ADLs a significant number of parameters need to be considering affecting the measurement such as sensors and environment characteristics or sensors disposition. To face the impossibility to study in the real context the best configuration of sensors able to minimize costs and maximize accuracy, simulation tools are being developed as powerful means. This thesis presents several contributions on this topic. In the following research work, a study of a measurement chain aimed to measure ADLs and represented by PIRs sensors and ML algorithm is conducted and a simulation tool in form of Web Application has been developed to generate datasets and to simulate how the measurement chain reacts varying the configuration of the sensors. Starting from eWare project results, the simulation tool has been thought to provide support for technicians, developers and installers being able to speed up analysis and monitoring times, to allow rapid identification of changes in behavioral trends, to guarantee system performance monitoring and to study the best configuration of the sensors network for a given environment. The UNIVPM Home Care Web App offers the chance to create ad hoc datasets related to ADLs and to conduct analysis thanks to statistical algorithms applied on data. To measure ADLs, machine learning algorithms have been implemented in the tool. Five different tasks have been identified. To test the validity of the developed instrument six case studies divided into two categories have been considered. To the first category belong those studies related to: 1) discover the best configuration of the sensors keeping environmental characteristics and user behavior as constants; 2) define the most performant ML algorithms. The second category aims to proof the stability of the algorithm implemented and its collapse condition by varying user habits. Noise perturbation on data has been applied to all case studies. Results show the validity of the generated datasets. By maximizing the sensors network is it possible to minimize the ML error to 0.8%. Due to cost is a key factor in this scenario, the fourth case studied considered has shown that minimizing the configuration of the sensors it is possible to reduce drastically the cost with a more than reasonable value for the ML error around 11.8%. Results in ADLs measurement can be considered more than satisfactory.
Abd, Alrahman Chadi. "Spectroscopie Laser avec des cavités résonantes de haute finesse couplées à un peigne de fréquences : ML-CEAS et vernier effet techniques. Applications à la mesure in situ de molécules réactives dans les domaines UV et visible." Thesis, Grenoble, 2012. http://www.theses.fr/2012GRENY095/document.
Full textThe atmospheric chemistry community suffers a lack of fast, reliable and space resolved measurements for a wide set of reactive molecules (e.g. radicals such as OH, NO3, BrO, IO, etc). Due to their high reactivity, these molecules largely control the lifetime and concentration of numerous key atmospheric species, and may have an important impact on the climate. The concentrations of such radicals are extremely low (ppbv or less) and highly variable in time and space, which imposes a real challenge during the detection. In the first part of this thesis, a compact, robust and transportable UV spectrometer is developed, exploiting the Mode-Locked Cavity Enhanced Absorption Spectroscopy (ML-CEAS) technique to measure pptv and sub-pptv levels of atmospherically important reactive molecules, in particular, halogen oxide radicals, to respond to the emerging needs. The ML-CEAS technique is based on coupling a Mode-Locked femtosecond laser to a high finesse optical cavity, which acts as a photon trap to increase the interaction between the light and the intracavity gas sample, which highly enhances the absorption sensitivity. The detection limit obtained for the IO radical is 20 ppqv (part per quadrillion), which is an impressive result. In the second part of this thesis, a new spectroscopic technique is developed, called Vernier effect, which is also based on the interaction between a mode-locked femtosecond laser with a high finesse optical cavity. This technique provides detection sensitivity similar to that of ML-CEAS technique, but the advantage is that the number of the spectral elements is given by the cavity finesse, so it can reach ten thousands, as well as this technique has a simple setup, where the spectrograph is replaced by a photodiode. Additionally, the time required to measure one output absorption spectrum can be less than 1 ms
Bossé, Mathieu. "La réalisation audionumérique DIY de groupes rock au Québec : pour une méthode de travail plus efficace." Master's thesis, Université Laval, 2019. http://hdl.handle.net/20.500.11794/36713.
Full textIn this master’s thesis, we address the issue of creative processes and recording techniques in different DIY (Do It Yourself) settings as implemented through my experience with different rock, punk, hardcore and alternative bands in Quebec City. Musical styles greatly vary from one project to another, but all of the music groups share three common aspects : 1) They come from the underground scene around Quebec City. 2) They have a rock-type instrumentation (for us, a rock-type instrumentation is made up of minimum two of the following instruments: drums, electric guitar, electric bass and vocal.) 3) They record in a DIY setting, up to a certain point. With the rise of new technologies, DIY recording is more and more common in music bands. In our experience, artists from scenes close to the punk and underground cultures are often limited by their budget and resources or simply have a desire for creative liberty when recording their music. Seeking independence, they will often go for the DIY approach when the time has come for them to record a song or an album, which often lends a punk aesthetic to their audio tracks. This masters thesis seeks to analyse working methods that contribute to obtaining good quality results in DIY recording and to find an efficient methodology that could help the self-taught DIYer in recording music. We believe that by reading about these projects, with the analysis and feedback, an artist who wants to work in a DIY setting will be able to make better decisions in regard to their own recording project and situation. I also offer advice for the DIY recording artist to analyse his own unique recording reality and the one of his different recording projects in order for him to benefit from a faster and favorable learning curve.
MASTRO, PIETRO. "Innovative Techniques for the Retrieval of Earth’s Surface and Atmosphere Geophysical Parameters: Spaceborne Infrared/Microwave Combined Analyses." Doctoral thesis, Università degli studi della Basilicata, 2023. https://hdl.handle.net/11563/162986.
Full textAbd, alrahman Chadi. "Spectroscopie Laser avec des cavités résonantes de haute finesse couplées à un peigne de fréquences : ML-CEAS et vernier effet techniques. Applications à la mesure in situ de molécules réactives dans les domaines UV et visible." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00849145.
Full textGherman, Titus Constantin. "Ml-ceas : une nouvelle technique spectroscopique d'absorption de haute sensibilité à l'aide de laser à impulsions ultracourtes." Université Joseph Fourier (Grenoble), 2004. http://www.theses.fr/2004GRE10137.
Full textThe principal result of this thesis work is the development of a new high sensitivity technique named: Mode-Locked Cavity-Enhanced Absorption Spectroscopy (ML-CEAS), which exploits constructively the spectral properties of mode-locked lasers and optical cavities. We demonstrate that ML-CEAS can be easily extended to the blue region by frequency-doubling a Ti-Sa laser source. The high sensitivity of ML-CEAS is put in evidence by recording a very high overtone transition of C2H2 at 420 nm (23813 cm-1), with detection limit of 5 x 10-9 cm-1 Hz-1/2. We also include the first practical application of this new technique to the diagnostics of argon and nitrogen plasmas around 400 nm. Another result is the setup, and application in ML-CEAS, of a semiconductor laser: diode-pumped, vertical external-cavity, surface-emitting laser (DP-VECSEL) and mode-locked by a Semiconductor Saturable Absorber Mirror (SESAM). Our system operates around 1. 04 æm. The train of pulses had a repetition rate of 1. 12 GHz and the pulse width was about 10 ps with a few mW of emitted power in mode-locking regime operation. A first demonstration of ML-CEAS using a mode-locked DP-VECSEL is also reported
Gutierrez, Julian. "L'apport du pianiste cubain Emiliano Salvador au jazz latin : analyse technique et esthétique de son jeu." Doctoral thesis, Université Laval, 2018. http://hdl.handle.net/20.500.11794/33125.
Full textGupta, Anjali, Maxwell Krohn, and Michael Walfish. "Can Basic ML Techniques Illuminate Rateless Erasure Codes?" 2004. http://hdl.handle.net/1721.1/30467.
Full textBooks on the topic "ML TECHNIQUES"
Appel, Andrew W. Modern compiler implementation in ML: Basic techniques. Cambridge: Cambridge University Press, 1997.
Find full textŠtuikys, Vytautas. Meta-Programming and Model-Driven Meta-Program Development: Principles, Processes and Techniques. London: Springer London, 2013.
Find full textAppel, Andrew W. Modern compiler implementation in C: Basic techniques. Cambridge: Cambridge University Press, 1997.
Find full textMetaprogramming And Modeldriven Metaprogram Development Principles Processes And Techniques. Springer, 2012.
Find full textNagel, Stefan. Machine Learning in Asset Pricing. Princeton University Press, 2021. http://dx.doi.org/10.23943/princeton/9780691218700.001.0001.
Full textBhattacharya, Aditya. Applied Machine Learning Explainability Techniques: Make ML Models Explainable and Trustworthy for Practical Applications Using LIME, SHAP, and More. Packt Publishing, Limited, 2022.
Find full textLi Bassi, Gianluigi, and J. D. Marti. Chest physiotherapy and tracheobronchial suction in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0121.
Full textOrenbuch-Harroch, Efrat, and Charles L. Sprung. Pulmonary artery catheterization in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0133.
Full textSever, Mehmet Şükrü, and Raymond Vanholder. Acute kidney injury in polytrauma and rhabdomyolysis. Edited by Norbert Lameire. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0252_update_001.
Full textSoar, Jasmeet, and Jerry P. Nolan. Artificial ventilation in cardiopulmonary resuscitation. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0060.
Full textBook chapters on the topic "ML TECHNIQUES"
Adriaans, Pieter. "ML techniques and text analysis." In Machine Learning: ECML-93, 460–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56602-3_164.
Full textVashisht, Geetika, Ashish Kumar Jha, and Manisha Jailia. "Predicting Diabetes Using ML Classification Techniques." In Advances in Intelligent Systems and Computing, 845–54. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5148-2_73.
Full textMcAllester, David. "A Logical Algorithm for ML Type Inference." In Rewriting Techniques and Applications, 436–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44881-0_31.
Full textMatthews, Brian. "MERILL: An equational reasoning system in standard ML." In Rewriting Techniques and Applications, 441–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56868-9_34.
Full textMatthews, Brian. "MERILL: An equational reasoning system in standard ML." In Rewriting Techniques and Applications, 441–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-21551-7_34.
Full textShah, Manan, Ameya Kshirsagar, and Jainam Panchal. "Midstream sector with ML models and techniques." In Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry, 47–61. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003279532-4.
Full textMohanty, Ashima Sindhu, Priyadarsan Parida, and Krishna Chandra Patra. "Usage of ML Techniques for ASD Detection." In Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications, 91–112. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003226147-5.
Full textPoudel, Khem, Movin Uddin, Revanth Kommu, Sadiat Muhammed, Nahid Hasan, and Sammi Hamdan. "HealthCare Text Analytics Using Recent ML Techniques." In Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23), 134–42. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33743-7_11.
Full textDeepa Shree, C. V., Jaaswin D. Kotian, Nidhi Gupta, Nikhil M. Adyapak, and U. Ananthanagu. "Predicting Code Runtime Complexity Using ML Techniques." In Lecture Notes in Electrical Engineering, 377–99. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7622-5_26.
Full textKhan, Hameed, Kamal Kumar Kushwah, Pradeep Kumar Jhinge, Gireesh Gaurav Soni, Ravi Kant Choubey, and Rupesh Kushwah. "Faults Diagnosis Using AI and ML." In Artificial Intelligence Techniques in Power Systems Operations and Analysis, 1–16. Boca Raton: Auerbach Publications, 2023. http://dx.doi.org/10.1201/9781003301820-1.
Full textConference papers on the topic "ML TECHNIQUES"
Trubat, Pau, Adrián Herrera, and Climent Molins. "Mooring Optimization Using ML Techniques." In ASME 2022 4th International Offshore Wind Technical Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/iowtc2022-98217.
Full textSurendiran, B., Tejus Paturu, Harsha Vardhan Chirumamilla, and Maruprolu Naga Raju Reddy. "Resume Classification Using ML Techniques." In 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT). IEEE, 2023. http://dx.doi.org/10.1109/iconscept57958.2023.10169907.
Full textGlassner, Andrew. "ML/DL roundup." In SIGGRAPH '20: Special Interest Group on Computer Graphics and Interactive Techniques Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3388769.3407509.
Full textSubudhi, Manorama, Kanhu Charan Bhuyan, and Ananya Dastidar. "IoT Assisted Farming using ML techniques." In 2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC). IEEE, 2022. http://dx.doi.org/10.1109/isssc56467.2022.10051428.
Full textSk, Tajuddin, Leela Madhuri G, Lalitha Ram K, and Ranga Rao J. "Health Status Prediction using ML Techniques." In 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2022. http://dx.doi.org/10.1109/iccmc53470.2022.9753766.
Full textPasha, Syed Nawaz, Dadi Ramesh, Sallauddin Mohmmad, Navya P., P. Anil Kishan, and C. H. Sandeep. "Liver disease prediction using ML techniques." In INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0081787.
Full textTummala, Sohith, Prithvi Sriman Maddukuri, Niranjana Nitish Varma Bhupathiraju, Mallikarjuna Rao Cherukupalli, and Srujan Singam. "Malicious software detection using ML algorithms." In LOW RADIOACTIVITY TECHNIQUES 2022 (LRT 2022): Proceedings of the 8th International Workshop on Low Radioactivity Techniques. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0161055.
Full textRastogi, Rohit, Vaibhav Gupta, Vaibhav Sharma, and Tushar Gupta. "Threat Detection and Classification Using ML Techniques." In 2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN). IEEE, 2023. http://dx.doi.org/10.1109/cictn57981.2023.10140771.
Full textDe, Soumi, Prabu P, and Joy Paulose. "Effective ML Techniques to Predict Customer Churn." In 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA). IEEE, 2021. http://dx.doi.org/10.1109/icirca51532.2021.9544785.
Full textRani, Shilpa, Sandeep Kumar, Venkata Subbamma T, Arpit Jain, A. Swathi, and Ramakrishna Kumar M. V. N. M. "Commodities Price Prediction using Various ML Techniques." In 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS). IEEE, 2022. http://dx.doi.org/10.1109/ictacs56270.2022.9987967.
Full textReports on the topic "ML TECHNIQUES"
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.
Full textEhiabhi, Jolly, and Haifeng Wang. A Systematic Review of Machine Learning Models in Mental Health Analysis Based on Multi-Channel Multi-Modal Biometric Signals. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2023. http://dx.doi.org/10.37766/inplasy2023.2.0003.
Full textCook, Samantha, Matthew Bigl, Sandra LeGrand, Nicholas Webb, Gayle Tyree, and Ronald Treminio. Landform identification in the Chihuahuan Desert for dust source characterization applications : developing a landform reference data set. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45644.
Full textClausen, Jay, Vuong Truong, Sophia Bragdon, Susan Frankenstein, Anna Wagner, Rosa Affleck, and Christopher Williams. Buried-object-detection improvements incorporating environmental phenomenology into signature physics. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45625.
Full textWeeks, Melvyn. Machine Learning for Prediction and Causal Inference. Instats Inc., 2022. http://dx.doi.org/10.61700/u0qw7udtxd5iz469.
Full textWeeks, Melvyn. Machine Learning for Prediction and Causal Inference. Instats Inc., 2022. http://dx.doi.org/10.61700/r1qb0f2baf6jj469.
Full textRobles, Marcelo, Claudio Dachevsky, and Héctor Llovera. Prospective study: evaluation of the efficacy and longevity of cross-linked hyaluronic acid in nasolabial folds filling. Editorial Lugones, December 2023. http://dx.doi.org/10.47196/0574.
Full textIrudayaraj, Joseph, Ze'ev Schmilovitch, Amos Mizrach, Giora Kritzman, and Chitrita DebRoy. Rapid detection of food borne pathogens and non-pathogens in fresh produce using FT-IRS and raman spectroscopy. United States Department of Agriculture, October 2004. http://dx.doi.org/10.32747/2004.7587221.bard.
Full textGillor, Osnat, Stefan Wuertz, Karen Shapiro, Nirit Bernstein, Woutrina Miller, Patricia Conrad, and Moshe Herzberg. Science-Based Monitoring for Produce Safety: Comparing Indicators and Pathogens in Water, Soil, and Crops. United States Department of Agriculture, May 2013. http://dx.doi.org/10.32747/2013.7613884.bard.
Full textBarefoot, Susan F., Bonita A. Glatz, Nathan Gollop, and Thomas A. Hughes. Bacteriocin Markers for Propionibacteria Gene Transfer Systems. United States Department of Agriculture, June 2000. http://dx.doi.org/10.32747/2000.7573993.bard.
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