Items where Subject is "Machine Learning"

Article

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

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

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

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

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

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

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

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

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 ISSN 2322-1437 (Unpublished)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., 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

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.

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.

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

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

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

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.

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

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.

Sasikala, Dr. K. and Jayakumar, Dr. J. and Senthil Kumar, Dr. A. and Chacko, Dr. Shanty and Queen, Dr. Hephzibah Jose (2022) Regression Based Predictive Machine Learning Model for Pervasive Data Analysis in Power Systems. International Journal of Electrical and Electronics Research, 10 (3). pp. 550-556. ISSN 2347-470X

Sivasankari, M. and Anandan, R. and Rajesh, G. (2024) Application of Machine Learning Techniques on Multivariate Ocean Parameters. Journal of Scientific & Industrial Research, 83 (2). ISSN 00224456

Soji, Edwin Shalom and Kamalakannan, T. (2024) Efficient Indian sign language recognition and classification using enhanced machine learning approach. International Journal of Critical Infrastructures, 20 (2). pp. 125-138. ISSN 1475-3219

Sumalatha, V and R.Santhi, Dr (2018) A machine learning driven approach to improve efficiency of classification algorithm using prediction of affliction. International Journal of Engineering & Technology, 7 (3.3). p. 206. ISSN 2227-524X

Swetha, S and Anandan, R and Kalaivani, K (2018) An investigation of micro aerial vehicles (µAV). International Journal of Engineering & Technology, 7 (2.31). p. 174. ISSN 2227-524X

Thailambal, G. and Ananthi, Sheshasaayee (2019) A Different Text Mining Process for Classifying Journal Databases using Machine Learning Algorithms. International Journal of Recent Technology and Engineering, 8 (2S11). pp. 239-243. ISSN 2277-3878

V, Pavithra and V, Jayalakshmi (2021) Comparative Study of Machine Learning Classification Techniques to Predict the Cardiovascular Diseases Using HRFLC. 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS). pp. 1-6.

Book Section

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.

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.

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.

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.

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.

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.

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.

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.

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.

Sujatha, P. and Dhivya, R. S. (2021) Qualitative Assessment of Machine Learning Classifiers for Employee Performance Prediction. In: Lecture Notes in Networks and Systems. Springer, pp. 339-349.

Sweetline Priya, E. and Priya, R. (2024) Novel Approach to Blood Supply System Using Machine Learning and Blockchain Technology. In: Evolution in Signal Processing and Telecommunication Networks. Springer, pp. 361-378.

Conference or Workshop Item

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Santhosh Kumar, P. and Balakrishna, R. and Vinod Kumar, K. (2022) Review on disease detection of plants 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.

Saraswathi, K. and Rohini, K. (2024) Efficient Dengue Spread Prediction Using Machine Learning Models with Various Preprocessing Techniques. In: 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India.

Sathish Kumar, P and Suthanthiradevi, P. and Arul Stephen, C and Ebenezer Abishek, B and Sivakumar, S. and Mathiyarasu, M (2024) Analysis and Detection of Fake News Using Machine Learning. In: 2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT), Vellore, India.

Sharma, D.K. and Jalil, Nasir Abdul and Regin, R. and Rajest, S. Suman and Tummala, Rama Krishna and N, Thangadurai (2021) Predicting Network Congestion with Machine Learning. In: 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India.

Sheeba, R. Mary and Parameswari, R. (2024) Machine learning applications and techniques in healthcare domain: A review. In: WOMEN IN PHYSICS: 7th IUPAP International Conference on Women in Physics, 11–16 July 2021, Online.

Sridevi, S and Monica, K.M. and Senthil, G. A and Prabha, R. and Sathya, A. and Ramya, J (2022) Third Generation Security System for Face Detection in ATM Machine Using Computer Vision. In: 2022 International Conference on Computer, Power and Communications (ICCPC), Chennai, India.

Srikrishnan, A. and Raaza, Arun and Gopalakrishnan, S. (2022) Machine Learning Based Intrusion Detection Systems Using HGWCSO And ETSVM Techniques. In: 2022 International Conference on Communication, Computing and Internet of Things (IC3IoT), Chennai, India.

Sudharsan, M. and Thailambal, G. (2022) A meta-analysis and roadmap of Alzheimer’s diseases prediction by machine learning algorithms. In: INDUSTRIAL, MECHANICAL AND ELECTRICAL ENGINEERING, 7 March 2019, Brunei.

Surendiran, J. and Meena, M. (2022) Analysis and Detection of Glaucoma from Fundus Eye Image by Cup to Disc Ratio by Unsupervised Machine Learning. In: 2022 IEEE International Conference on Data Science and Information System (ICDSIS), Hassan, India.

Surya, V. and Selvam, M. Muthu (2022) An Effective Machine Learning Approach for loT Intrusion Detection System based on SMOTE. In: 2022 6th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India.

Vanitha, V. and Akila, D. (2021) Detection and Diagnosis of Hepatitis Virus Infection Based on Human Blood Smear Data in Machine Learning Segmentation Technique. In: 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India.

Yasmin, A. and Kamalakkannan, S. and Kavitha, P. (2022) Stock Market Prediction using Machine Learning Models. In: 2022 International Conference on Edge Computing and Applications (ICECAA), Tamilnadu, India.

vanitha, M. Sakthi and Saradha, S. (2022) An enhanced object detection techniques to track an intruder in the forest using IoT. In: RECENT TRENDS IN SCIENCE AND ENGINEERING, 27–28 February 2021, Krishnagiri, India.