Items where Subject is "Machine Learning"

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A, SARANYA, and R, Dr.ANANDAN (2019) Stock Market Prediction using Machine Learning Algorithms. International Journal of Recent Technology and Engineering, 8 (2S4). pp. 280-283. ISSN 2277-3878

AMJATH, Z. A. and MOORTHY, R. GANESA and ALI, K. S. ASHRAFF and GNANAVEL, C. (2025) MACHINE LEARNING-BASED PREDICTION OF SURFACE CHARACTERISTICS AND TOOL WEAR IN Mg–AZ91D MILLING UNDER DISTINCT CONDITIONS. Surface Review and Letters. ISSN 0218-625X

Agrawal, R. K. and Alam, Mohammad Shabbir and A, Rajesh Kumar and Aparna, N. and S, Gayathri Devi and Jain, Amit (2025) Machine Learning Approach for MRI Brain Tumor Detection using Regularized Extreme Learning. In: 2025 3rd International Conference on Data Science and Information System (ICDSIS), Hassan, India.

Ahmed, Giramani Najeeb and Kamalakkannan, Somasundaram and Kavitha, Pachamuthu (2022) A Machine Learning Approach for Stochastic Pattern Analysis for the Measurement of Time-Series Datasets. Instrumentation Mesure Métrologie, 21 (5). pp. 199-205. ISSN 16314670

Ambuli, T.V and Venkatesan, S. and Sampath, K. and Devi, Kabirdoss and Kumaran, S. (2024) AI-Driven Financial Management Optimizing Investment Portfolios through Machine Learning. In: 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT), Kollam, India.

Anandan, R and Bhyrapuneni, Srikanth and Kalaivani, K and Swaminathan, P (2018) A survey on big data analytics with deep learning in text using machine learning mechanisms. International Journal of Engineering & Technology, 7 (2.21). p. 335. ISSN 2227-524X

Annamalai, Banushri and Kunal, Kishore and Madeshwaren, Vairavel and M, Kathiravan and Ramkrishna, Goli and Sharma, Neha (2025) Machine Learning Powered Asbestos Exposure Modeling Using Feature Extraction from IoT Based Sensor Data. Journal of Machine and Computing. pp. 1673-1684. ISSN 2789-1801

Arshad, F. Mohammed and Sharmila, K. (2024) Advances in Machine Learning for Stroke Prediction: A Comprehensive Review. In: 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal.

Arul Stephen, C. and Mathesh, R. and Venkat, L. and Ebenezer Abishek, B. and Vijayalakshmi, A. (2022) Evaluation of Various Machine Learning Algorithms for Detection of Attacks in 5G. In: Proceedings of International Conference on Power Electronics and Renewable Energy Systems. Springer, pp. 397-405.

Arumugam, Krishnamurthy and Sellappan, Malathi and Anand, Dheepa and Anand, Sadhanha and Radhakrishnan, Subhashini Vedagiri (2022) A Text Mining and Machine Learning Protocol for Extracting Posttranslational Modifications of Proteins from PubMed: A Special Focus on Glycosylation, Acetylation, Methylation, Hydroxylation, and Ubiquitination. In: Biomedical Text Mining. Springer, pp. 179-202.

Asirvatham, Anisha and Meenakshi, C. (2025) The Impact of SMS Phishing using Machine Learning Classifiers with Innovative Techniques. Procedia Computer Science, 260. pp. 608-615. ISSN 18770509

Axcellin, T. and Kamalakkannan, S. (2025) Machine Learning-Based Traffic Flow Prediction and Management. In: 2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.

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Babjan, Patan and Rajendran, V. (2024) Experimental Evaluation of Spectrum Handoff Management with Machine Learning Algorithms Using Software Defined Radio. Wireless Personal Communications, 138 (1). pp. 149-170. ISSN 0929-6212

Bhagya, A. and Perumal, S. (2024) Diverse Image Processing Techniques for Machine Learning Methods. In: 2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), Krishnankoil, Virudhunagar district, Tamil Nadu, India.

Bharathi, A. and Hemamalini, U. and Prasanth, A. (2025) Augmented machine learning towards smart self-powered sensing systems. In: Self-Powered Sensors. Elsevier, pp. 31-45.

Bharathi, Lavanya and Chandrabose, Shanthi (2022) Machine Learning-Based Malware Software Detection Based on Adaptive Gradient Support Vector Regression. International Journal of Safety and Security Engineering, 12 (1). pp. 39-45. ISSN 20419031

Bhavani, R. and Kathirvelu, Kalaivani (2024) Advancements in Speech Recognition: Exploring Feature Extraction Techniques for Enhanced Accuracy and Human-Machine Communication. In: 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India.

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C S, Shylaja and R, Anandan and Sajeev, Ram Arumugam (2019) CAD System forLung cancer detection using Adaptive NeuroFuzzy Classifier. International Journal of Pharmaceutical Research, 11 (4). ISSN 09752366

C., Kalpana (2020) Health Care Data Analysis through Machine Learning Meta Heuristic Algorithm. Journal of Advanced Research in Dynamical and Control Systems, 12 (7). pp. 196-201. ISSN 1943023X

Chandrasekaran, M. and Pavankumar, R. Sonawane and Sriramya, P. (2020) PREDICTION OF GEAR PITTING DEFECT BY USING DECISION TREE CLASSIFIER MACHINE LEARNING ALGORITHM. Journal of critical reviews, 7 (09). ISSN 23945125

Chinnakamma Devi, J. and Mahalakshmi, R. (2025) Integration of Machine Learning Algorithms for Land Classification Using Satellite Images. In: 2024 Real-Time Intelligent Systems. Springer, pp. 45-55.

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D.R., Krithika. and Parameswari, R. and Akila, A. and Padma., R. and Priya, R. and Muthukumar, D. Surendiran (2025) Financial Service Recommendation Based on Cognitive Machine Learning Model with NLP. In: 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE), Virudhunagar, India.

Deepa, R and Jayalakshmi, V and Thilakavathy, P and Bennet Prabhu, A and Surendran, R (2024) Quantum Machine Learning Techniques based on Nurturing Agri-Ontology Framework in Agricultural Science. In: 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India.

Deepa, R. and Jayalakshmi, V. and Karpagalakshmi, K. and Manikanda Prabhu, S. and Thilakavathy, P. (2024) Survey on Resume Parsing Models for JOBCONNECT+: Enhancing Recruitment Efficiency using Natural language processing and Machine Learning. International Journal of Computational and Experimental Science and Engineering, 10 (4). ISSN 2149-9144

Deepika, M. (2021) A Prognostic Thyroid Disorder analysis based on Thyroid Test Measure with ECG. In: 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India.

Divya, Komati and Bhargavi, C H and Abirami, M. and Arjun, Ponnaganti and Padmaja, Pabbathi and Dhanwanth, Batini (2024) An Approach to Radiotherapy Treatment Planning based on Machine Learning Algorithms. In: 2024 International Conference on Expert Clouds and Applications (ICOECA), Bengaluru, India.

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Ellappan, Prabakaran and Keshav, Lakshmi and Raja, Kalyana Chakravarthy Polichetty and Sanijya, Gunnam (2025) Improving forecasting of concrete strength using advanced machine learning methods. Matéria (Rio de Janeiro), 30. ISSN 1517-7076

Ezeddin, Maymouna and Chowdhury, Moajjem Hossain and Khandakar, Amith and Faisal, Md. Ahasan Atick and Gonzales, Antonio and Hossain, Md. Sakib Abrar and Murugappan, M. and Naik, Ganesh R. and Chowdhury, Muhammad E. H. (2025) Oscillometric blood pressure estimation using machine learning-based mapping of waveform features. Biomedical Engineering Letters. ISSN 2093-9868

Ezhilvani, G. and Thailambal, G. (2025) Pragmatic Analysis in Supervised Machine Learning Methods for Heart Disease Risk Prediction. In: 2025 International Conference on Inventive Computation Technologies (ICICT), Kirtipur, Nepal.

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Felix.V, John and K, Sharmila. (2025) An Empirical Review to Identify Huntington's Disease in Human Beings Using Machine Learning Techniques. In: 2025 International Conference on Inventive Computation Technologies (ICICT), Kirtipur, Nepal.

Fernandez, F. Mary Harin and Ramachandran, A. Ganesh and Saravanan, S. K. and Bhanumathi, M. and Sangeetha, M. (2024) Advancements in Object Detection for Accurate and Efficient Visual Recognition Using Machine Learning. In: 2024 Second International Conference on Advances in Information Technology (ICAIT), Chikkamagaluru, Karnataka, India.

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Gladshiya, V. Belsini and Sharmila, . (2024) A Comparative Study of Supervised and Unsupervised Machine Learning Algorithms for Predictive Analytics: Convergence of AI and IoT at the Cutting Edge. In: Reshaping Intelligent Business and Industry. Wiley, pp. 97-105. ISBN 9781119905202

Gladshiya, V. Belsini and Sharmila, K. (2022) Analyzing the Student's Risk in using Electronic Gadgets using Hybrid Machine Learning Model as Case Study. In: 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

Govindasamy, Chinnaraj and Dayana, T.R Nisha and Adkar, Siddhika Dilip and Prakash, D. Shyam and Gupta, A. Shilpa and Trivedi, Sanjeev Kumar (2024) Intelligent Energy Management Energy Storage Systems Using Machine Learning. In: 2024 International Conference on Intelligent Systems for Cybersecurity (ISCS), Gurugram, India.

Gowthami, G. and Sadhana, C. and Silvia Priscila, S. and Radhakrishnan, Sangeetha and SakthiVanitha, M. and Kannan, Balaji (2025) Enhancing Enterprise Network Security with Machine Learning: An In-Depth Analysis of Advanced Persistent Threat Detection. In: Lecture Notes in Networks and Systems ((LNNS,volume 1293)). Springer Nature Link, pp. 525-537.

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H, Ramya and T, Jaya (2024) Machine Learning-Based Optimization of Channel and Power Allocation in 5G Systems. In: 2024 Global Conference on Communications and Information Technologies (GCCIT), BANGALORE, India.

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Jaya, T. and Mohan, Manish and Alam, Matiullah Saif (2023) Effective Heart Disease Prediction Using Machine Learning—Modified KNN. In: Soft Computing for Security Applications. Springer, pp. 479-489.

Jaya, T. and Vijayalakshmi, P. and Monisha, M. and Sahaai, Madona B and Akash, S. and Samu, V. (2025) 5G Base Station Power Consumption Using Machine Learning. In: 2025 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), Shivamogga, India.

Jebamalar, J. Angelin and Kumar, Dr. A. Sasi (2019) PM2.5 Prediction using Machine Learning Hybrid Model for Smart Health. International Journal of Engineering and Advanced Technology, 9 (1). pp. 6500-6505. ISSN 22498958

Jenifer J, Anciline and Piramu, Preethika S.K. (2025) Machine Learning based Anomaly and Threat Detection System in Real Time Social Internet of Things using Dimensionality Reduction Techniques. In: 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS), Prawet, Thailand.

Josephine Isabella, S and Srinivasan, Sujatha (2018) An understanding of machine learning techniques in big data analytics: a survey. International Journal of Engineering & Technology, 7 (3.3). p. 666. ISSN 2227-524X

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K, Kalaivani and K, Ulagapriya and A, Saritha and Kumar, Ashutosh (2021) Predicting Student Performance for Early Intervention using Classification Algorithms in Machine Learning. Journal of Information Systems and Telecommunication (JIST), 9 (36). pp. 226-235. ISSN 2322-1437 (Unpublished)

K, Lavanya and Packialatha, A. (2024) A Mango Disease Prediction for Smart Agiculture using Machine Learning Algorithms. In: 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal.

K, Sumathi. and Mangayarkarasi, S. (2024) Climacteric Defective Sapota Identification using Machine Learning-A Novel method in Segregating Latex Oozing and Rot using Augmented Images. In: 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

K., Pooja and Kanna R., Kishore and Li, G. and Subramaniam, U. and Sekar, M. (2024) Diagnosis of gastric cancer in role of endoscopic imaging techniques in artificial intelligence and machine learning applications: An overview. E3S Web of Conferences, 491. 03016. ISSN 2267-1242

Kalaiselvi, K. and Deepika, M. (2020) Machine Learning for Healthcare Diagnostics. In: Learning and Analytics in Intelligent Systems ((LAIS,volume 13)). Springer Nature Link, pp. 91-105.

Kalaivani, G. and Mayilvahanan, P. (2021) Air Quality Prediction and Monitoring using Machine Learning Algorithm based IoT sensor- A researcher's perspective. 2021 6th International Conference on Communication and Electronics Systems (ICCES). pp. 1-9.

Kalpana, P. and Sridevi, S. (2022) A survey on recognition and classification of paddy leaf diseases using image processing and machine learning techniques. In: INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN SCIENCE AND TECHNOLOGY (RIST 2021), 19–20 June 2021, Malappuram, India.

Karpagalakshmi, P. and Dhanashree, S.R. and Wahidh, M. Abdul and Rajesh, A. (2024) Predicting College Dropout Rates using Machine Learning: A Student Success Initiative. In: 2024 International Conference on Computing and Data Science (ICCDS), Chennai, India.

Karunakaran, Sangeetha and Akila, D. (2024) Sparse Autoencoder (SAE) based Image Classification with Enhanced Security for College Attendance System. In: 2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkuru, India.

Kavitha, P. and Jayalakshmi, V. and Kamalakkannan, S. (2022) Classification of Skin Cancer Segmentation using Hybrid Partial Differential Equation with Fuzzy Clustering based on Machine Learning Techniques. In: 2022 International Conference on Edge Computing and Applications (ICECAA), Tamilnadu, India.

Keerthi, K. Laleeth and Sridevi, S. and Kathirvelu, Kalaivani (2025) Design and Optimization of Low Power Intelligent System for Wearable Devices. Journal of Nanoelectronics and Optoelectronics, 20 (3). pp. 261-269. ISSN 1555-130X

Kesavan, Sujatha and Anbarasan, Kalaivani and Chandrasekharan, Tamilselvi and Sam, Dahlia and Ganesamoorthi, Nalinashini and Chandrasekar, Kamatchi and Kumar Ramaraj, Krishna and Ganga Bhavani, Nallamilli Pushpa and Veerabathran, Srividhya and Rengammal Sankari, B. and Jhansi, Gujjula (2023) Enhanced Machine Learning Techniques for Pest Control and Leaf Disease Identification. In: Future Farming: Advancing Agriculture with Artificial Intelligence. BENTHAM SCIENCE PUBLISHERS, pp. 1-22. ISBN Praveen Kumar Shukla Department of Computer Science & Engineering, Babu Banarasi Das University, Lucknow, UP, India Tushar Kanti Bera Department of Electrical Engineering, National Institute of Technology, Drugapur, India Future Farming: Adva

Kiruthiga, C. and Dharmarajan, K. (2025) Data-Driven Insights: A Critical Analysis of Farmer Call Centre Data Using Machine Learning Techniques. International Journal of Computational and Experimental Science and Engineering, 11 (2). ISSN 2149-9144

Krithika, D. R. and Rohini, K. (2021) Bigdata Analysis Using Machine Learning Algorithm in Predicting the Cardiovascular Disease. In: Lecture Notes in Networks and Systems. Springer, pp. 177-187.

Krithika, D. R. and Rohini, K. (2021) Comparative Intrepretation Of Machine Learning Algorithms In Predicting The Cardiovascular Death Rate For Covid-19 Data. 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE). pp. 394-400.

Kumar, T.Shathish and Booba, B. (2021) A Systematic Study on Machine Learning Techniques for Predicting Software Faults. In: 2021 IEEE Mysore Sub Section International Conference (MysuruCon), Hassan, India.

Kumari, D. Anitha and Karim Shaikh, Irfan Abdul and Gangadharan, S. and Narendra Kiran, P B and Ramya, S. R. and Nargunde, Amarja Satish (2024) Machine Learning for Diversity and Inclusion: Addressing Biases in HR Practices. In: 2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST), Jamshedpur, India.

Kuppan, P. and Priya, V. Vishwa (2024) Crop Yield Prediction Using Ensemble Machine Learning Techniques. SN Computer Science, 5 (8). ISSN 2661-8907

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Lakshmi, A. and Devi, R. (2024) Heart Disease Prediction Using Ensemble Feature Selection Method and Machine Learning Classification Algorithms. In: Conversational Artificial Intelligence. Wiley, pp. 237-247. ISBN 9781394200801

Lavanya, B. and Shanthi, C. (2021) Gradient Conventional Recursive Neural Classifier Algorithm to Analyze the Malicious Software Detection Using Machine Learning. In: 2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India.

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M, Thulasi. and Thailambal, G. (2025) An Ensemble Machine Learning Model for Osteoporosis Risk Prediction from Medical Data. In: 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS), Prawet, Thailand.

M S, Balamurugan and V, Rajendran and S, Suma Christal Mary (2025) Machine Learning Based Hybrid Approach in Ransomware Recognition and Classification. International Journal of Electronics and Communication Engineering, 12 (2). pp. 140-151. ISSN 23488549

Mahalakshmi, R. and Kumutha, K. and Sakthivanitha, M. and Lakshmi, R. Bagavathi and Sirajudeen, Mohamed and Padmanabhan, Sankar (2025) Hyperspectral Images for Crop Prediction using Machine and Deep Learning Models. In: 2025 International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India.

Mahendran, Radha and Tadiboina, Sai Nitisha and Sai Thrinath, B.V. and Gadgil, Aashish and Madem, Srinu and Srivastava, Yashi (2022) Application of Machine Learning and Internet of Things for Identification of Nutrient Deficiencies in Oil Palm. In: 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India.

Mahendran, S. Radha and Dogra, Akriti and Mendhe, Dinesh and Babu, S. B G Tilak and Dixit, Shriniket and Singh, Surya Pratap (2024) Machine Learning-Assisted Protein Structure Prediction: An AI Approach for Biochemical Insights. In: 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), Chennai, India.

Malathi, P. and Devi, S. Rukmani and Senbagam, K. and Thirumalaikumari, T. and Basha, H. Anwer and Thamizhkani, B. (2024) A Machine Learning Approach for Predictive Analysis of Jasmine Flower Yield and Plant Health Monitoring. In: 2024 International Conference on Electronic Systems and Intelligent Computing (ICESIC), Chennai, India.

Mangayarkarasi, S. and Suganya, K. and kala, T.Sree (2019) Secure M-Banking using Steganography. International Journal of Innovative Technology and Exploring Engineering, 8 (11). pp. 2769-2772. ISSN 22783075

Meena, M. and Binolisha, V. and Mandal, Trishna (2025) Automatic modulation classification and performance analysis under Awgn using machine learning in cognitive radio. In: INTERNATIONAL CONFERENCE ON COGNITIVE COMPUTING AND ARTIFICIAL INTELLIGENCE (ICCCAI - 2024), 7–8 March 2024, Chennai, India.

Megala, M. and Dayana, T.R. Nisha (2025) Advancements in Skin Disease Diagnosis Through Machine Learning-Driven Lesion Segmentation Techniques. In: 2025 International Conference on Inventive Computation Technologies (ICICT), Kirtipur, Nepal.

Menaga, A. and Vasantha, S. (2022) Smart Sustainable Agriculture Using Machine Learning and AI: A Review. In: Ambient Communications and Computer Systems. Springer, pp. 447-458.

Mohana Priya, G. and Latha, M. and Archana, K. S. (2022) Analyzing Data in Decision Making for Educational Universities Using Machine Learning. In: Ambient Communications and Computer Systems. Springer, pp. 459-466.

Mohsin, Karrar S and S, Chandravadhana and Chaudhari, Viharika and K, Balasaranya and R, Pari and B, Srinivasarao (2025) The Deployment of Machine Learning and On Board Vision Systems for An Unmanned Aerial Sprayer for Pesticides. Journal of Machine and Computing. pp. 600-610. ISSN 2789-1801

Moyeenudin, H. M. and Bindu, G. and Anandan, R. (2024) Blockchain Networks for Cybersecurity Using Machine-Learning Algorithms. In: EAI/Springer Innovations in Communication and Computing. Springer, pp. 233-242.

Murugan, Suganiya and Kumar, S. Pradeep and G, Kalaiarasi and Saritha, B. and Rubini, B. (2025) Comparison of Machine Learning Models for Injury Prediction in Athletes. In: 2025 International Conference on Visual Analytics and Data Visualization (ICVADV), Tirunelveli, India.

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N, Arun and Dayana, T.R. Nisha (2025) Machine Learning Models for Android Malware Detection–A Comparative Study. In: 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India.

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P., Sasikala and P., Dr.Mayilvahanan (2019) SNA: Construction of Meta classifications in Domain Modeling. Indian Journal of Computer Science and Engineering, 10 (4). pp. 97-103. ISSN 22313850

Padmini, A. and Yogeshwari, M. (2024) A Survey on Exploring the Relationship Between Music and Mental Health Using Machine Learning Analysis:. In: Cross-Industry AI Applications. IGI, pp. 304-318.

Pavani, Somireddy and Sahayadhas, Arun (2025) An Enhanced Privacy-Preserving Federated Learning Framework Using Attribute-Based Encryption for Smart IoT Systems. International Journal of Safety and Security Engineering, 15 (5). pp. 937-954. ISSN 20419031

Poondy, Rajan Y and Kishore, Kunal and Anitha, Palanisamy and Senthil Kumar, Rajendran and Rupesh, Gupta and Madeshwaren, Vairavel (2025) Machine Learning Framework for Detecting Fake News and Combating Misinformation Spread on Facebook Platforms. International Journal of Computational and Experimental Science and Engineering, 11 (2). ISSN 2149-9144

Poornima, V. and R., RamyaDevi (2024) A Hybrid Model for Prediction of Diabetes Using Machine Learning Classification Algorithms and Random Projection. Wireless Personal Communications, 139 (3). pp. 1437-1449. ISSN 0929-6212

Pradeepa, G. and Devi, R. (2022) Lightweight approach for malicious domain detection using machine learning. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 22 (2). pp. 262-268. ISSN 22261494

Pratheesh, R and Divya, V. (2024) Feature Extraction to Evaluate the Quality of Data Using Machine Learning Technique. In: 2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), Ballari, India.

Praveena, A. and Yogeshwari, M. (2024) A Review of Prediction on Alzheimer's Disease Using Machine Learning Techniques:. In: Advancements in Clinical Medicine. IGI, pp. 366-378.

Praveena, R. and Kalpana, Y. (2022) Improve Villupuram district yield cultivation using recommendation system by machine learning. In: 4TH INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING & SCIENCE: Insight on the Current Research in Materials Engineering and Science, 6–7 October 2021, Duhok, Kurdistan Region, Iraq.

Preethi, I. and Dharmarajan, K. (2024) A Novel Method for Predicting Kidney Disease using Optimized Multi-Layer Perceptron (PKD-OMLP) Classifier. In: Advancements in Smart Computing and Information Security. Springer, pp. 69-82.

Prithula, Johayra and Islam, Khandaker Reajul and Kumar, Jaya and Tan, Toh Leong and Reaz, Mamun Bin Ibne and Rahman, Tawsifur and Zughaier, Susu M. and Khan, Muhammad Salman and Murugappan, M. and Chowdhury, Muhammad E.H. (2025) A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients. Computers in Biology and Medicine, 184. p. 109284. ISSN 00104825

Priya, G. Jaculine and Saradha, S. (2021) Fraud Detection and Prevention Using Machine Learning Algorithms: A Review. 2021 7th International Conference on Electrical Energy Systems (ICEES). pp. 564-568.

Priyalakshmi, V. and Devi, R. (2022) Intrusion Detection Using Enhanced Transductive Support Vector Machine. In: 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

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R, Krithika. D. and V M, Subhasri (2025) Smart Event Management System Using Machine Learning for Optimized Scheduling and Participant Behavior Tracking. In: 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE), Virudhunagar, India.

RadhaMahendran, S. and Dogra, Akriti and Mendhe, Dinesh and Tilak Babu, S. B G and Dixit, Shriniket and Singh, Surya Pratap (2024) Machine Learning for Drug Discovery: Predicting Drug-Protein Binding Affinities using Graph Convolutional Networks. In: 2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST), Jamshedpur, India.

Rajasekhar, Illuru and Monisha, M. (2025) Research direction towards exploring software control radio using machine learning algorithms for smart hotel applications with future aspects. Australian Journal of Electrical and Electronics Engineering, 22 (3). pp. 333-356. ISSN 1448-837X

Rajendran, Sathya and KS, Thirunavukkarasu (2025) Advanced classification techniques for weed and crop species recognition using machine learning algorithms. International Journal of Advances in Applied Sciences, 14 (2). p. 300. ISSN 2252-8814

Rakshe, Chetan and Kunneth, Suja and Sundaram, Soumya and Murugappan, Murugappan and Agastinose Ronickom, Jac Fredo (2024) Autism spectrum disorder diagnosis using fractal and non-fractal-based functional connectivity analysis and machine learning methods. Neural Computing and Applications, 36 (20). pp. 12565-12585. ISSN 0941-0643

Ravikumar, D. and Sasikala, K. and Vijayashanthi, R.S. and Prasad, S. Narasimha (2024) Analysis of smart grid-based intrusion detection system through machine learning methods. International Journal of Electronic Security and Digital Forensics, 16 (1). pp. 84-96. ISSN 1751-911X

Rekha, S. Sasi and Kavitha, P. and Kamalakkannan, S. (2024) Towards Sustainable Waste Management: Exploring Machine Learning and Deep Learning Solutions for Biodegradable and Non-Biodegradable Waste Identification. In: 2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, India.

Revathi, A and Poonguzhali, S (2024) Predictive Modelling of Rice Blast Disease Utilizing Ensemble Voting Classifiers in Machine Learning. In: 2024 8th International Conference on Inventive Systems and Control (ICISC), Coimbatore, India.

Revathi, A. and Priya, R. (2025) Geometrically Innovated Machine Learning for Optimized Prediction of Rice Blast Disease. In: Communications in Computer and Information Science ((CCIS,volume 2425)). Springer Nature Link, pp. 30-41.

Revathy, G. and Rajendran, V. and Sathish Kumar, P. and Vinuharini, S. and Roopa, G. N. (2022) Smurf attack using hybrid machine learning technique. In: INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN SCIENCE AND TECHNOLOGY (RIST 2021), 19–20 June 2021, Malappuram, India.

Revathy, M. and Kamalakkannan, S. and Kavitha, P. (2022) Machine Learning based Prediction of Dropout Students from the Education University using SMOTE. In: 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India.

Roy, Chandrima Sinha and Parvathavarthini, K. and Gomathi, M. and Fatangare, Mrunal Pravinkumar and Kishore, D. and Suthar, Anilkumar (2025) Brain Tumor Classification and Detection Using Machine Learning by Analyzing MRI Images. In: Natural Language Processing for Software Engineering. Wiley, pp. 193-205. ISBN 9781394272464

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S, Arockiya Selvi and Kamalakannan, T. (2025) Machine Learning based Prediction of Parkinson's Diseases. In: 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL), Bhimdatta, Nepal.

S., Muthuselvan and R., Karthikeyan and M., Rajasekaran and K., Rajakumari and S., Rajes kannan and S., Anupriya (2024) Machine Learning for the Detection of Uniform Resource Locator Phishing:. In: Metaheuristic and Machine Learning Optimization Strategies for Complex Systems. IGI, pp. 40-48.

S. Archana, K and Sahayadhas, Arun (2018) Comparison of various filters for noise removal in paddy leaf images. International Journal of Engineering & Technology, 7 (2.21). p. 372. ISSN 2227-524X

SARANYA, A. and ANANDAN, R. (2021) Autism Spectrum Prognosis using Worm Optimized Extreme Learning Machine (WOEM) Technique. 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). pp. 636-641.

Sajwan, Ananya and Das, Soumyadeepta and Phamila, Asnath Victy and Kathirvelu, Kalaivani (2024) Blockchain-Based Organ Donation and Transplant Matching System. In: EAI/Springer Innovations in Communication and Computing. Springer, pp. 175-183.

Sakthivanitha, M. and Jayashree, S. and Nathiya, R. and Balaji, S. and Sirajudeen, M. Mohamed and Maruthi, R. (2025) Machine Learning Models for the Analysis of MultiTemporal Satellite Images for Change Identification and Predictions. In: 2025 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), Shivamogga, India.

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