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プロフィール詳細
Dr. Leena N.に依頼
India
Experienced Researcher (PhD) | AI, Machine Learning, Data Science | Publications in IEEE, Springer & Scopus Journals
プロフィール概要
専門分野
サービス
Writing
Technical Writing,
Copywriting,
General Proofreading & Editing
Research
Market Research,
User Research,
Feasibility Study,
Scientific and Technical Research,
Systematic Literature Review,
Secondary Data Collection
Consulting
Scientific and Technical Consulting
Data & AI
Predictive Modeling,
Image Processing,
Image Analysis,
Algorithm Design-Non ML,
Algorithm Design-ML,
Data Visualization,
Big Data Analytics,
Text Mining & Analytics,
Data Mining,
Data Cleaning,
Data Processing,
Data Insights
Product Development
Prototyping
職務経験
SRM Institute of Science and Technology
- 現在 
Assistant Professor (Full Time)
SRM Institute Of Science & Technology ( Deemed University)
9月 2024 - 現在
ASSISTANT PROFESSOR
Vel Tech Ranagrajan Dr. Sagunthala R&D Institute of Science and Technology
6月 2023 - 6月 2024
Technical Trainer
LeewayHertz Technologies Pvt. Ltd, India
3月 2022 - 5月 2023
Technical Support Executive
Geo Mines Engineering Pvt. Ltd, India
2月 2012 - 3月 2018
Senior Lecturer
Rajalakshmi Engineering College, Chennai, India
6月 1999 - 11月 2004
学歴
PhD
Dr.M.G.R.Eucational and Research Institute
7月 2019 - 8月 2022
認定資格
出版物
JOURNAL ARTICLE
Murugadoss, R., Nesamani, S.L., Banushri, A., Monica, K.M., Vairavel, M., Rajini, S.N.S., Gopi, P.(2024). A review of using deep learning from an ecology perspective to address climate change and air pollution . Global Nest Journal. 26. (2).
Murugadoss, R., Nesamani, S. Leena, Banushri, A., Monica, K. M., Vairavel, M., Rajini, S. Nirmal Sugirtha, P., Gopi (2024). A review of using deep learning from an ecology perspective to address climate change and air pollution . Global Nest Journal.
Leena Nesamani ACCOMPLISHMENT OF IoT IN THE FIELD OF HEALTHCARE. Impact of Smart Technologies and Artificial Intelligence (AI) Paving Path Towards Interdisciplinary Research in the Fields of Engineering, Arts, Humanities, Commerce, Economics, Social Sciences, Law and Management-Challenges and Opportunities.
Leena Nesamani Brain Tumor Segmentation from MRI Images using Deep Learning-based CNN with SVM Classifier.
BOOK CHAPTER
Bajaj, S.H., Nesamani, S.L., Dharmalingam, G., Jeeva, R., Niveditha, V.R.(2024). The Artificial Intelligence-Based Revolution in Material Science for Advanced Energy Storage . Introduction to Functional Nanomaterials. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 85-92.
Leena, N.S., Rajini, S.N.S.(2022). Predictive modeling for classification of breast cancer dataset using feature selection techniques . Research Anthology on Medical Informatics in Breast and Cervical Cancer. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 166-177.
S. Leena Nesamani, S. Nirmala Sugirtha Rajini, M. S. Josphine, J. Jacinth Salome(2021). Deep Learning-Based Mammogram Classification for Breast Cancer Diagnosis Using Multi-level Support Vector Machine . Advances in Automation, Signal Processing, Instrumentation, and Control. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 371--383. Springer Nature Singapore
Leena Nesamani S., S. Nirmala Sigirtha Rajini(2021). Predictive Modeling for Classification of Breast Cancer Dataset Using Feature Selection Techniques . Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 204--215. {IGI} Global
Leena Nesamani, S., Nirmala Sigirtha Rajini, S.(2021). Predictive modeling for classification of breast cancer dataset using feature selection techniques . Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 204-215.
LeenaNesamani S, NirmalaSugirthaRajini S(2020). Evaluation of Ensemble Machines in Breast Cancer Prediction . Intelligent Systems and Computer Technology. {IOS} Press
CONFERENCE PAPER
P.T. Kasthuri Bai, D. Lissy, S. Leena Nesamani (2023). Role of IoT in Precision Agriculture and Detecting and Classifying Rice Leaf Diseases using CNN Method of Deep Learning . 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE).
Bai, P.T.K., Lissy, D., Nesamani, S.L.(2023). Role of IoT in Precision Agriculture and Detecting and Classifying Rice Leaf Diseases using CNN Method of Deep Learning . 2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering, RMKMATE 2023.
Rajini, S.N.S., Nesamani, S.L., Abirami, P., Anuradha, K., Soundharyadevi, R., Marappan, R.(2022). Dermatitis Diagnosis - Modeling and Analysis using Machine Learning . Proceedings - 2022 2nd International Conference on Innovative Sustainable Computational Technologies, CISCT 2022.
Leena Nesamani, S., Nirmala Sugirtha Rajini, S., Josphine, M.S., Jacinth Salome, J.(2021). Deep Learning-Based Mammogram Classification for Breast Cancer Diagnosis Using Multi-level Support Vector Machine . Lecture Notes in Electrical Engineering. 700. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 371-383.
Sunori, S.K., Kumar, S., Anandapriya, B., Nesamani, S.L., Maurya, S., Singh, M.K.(2021). Machine Learning Based Prediction of Soil pH . Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 884-889.
BOOK
Leena Nesamani, S., Nirmala Sugirtha Rajini, S.(2020). Evaluation of ensemble machines in breast cancer prediction . Advances in Parallel Computing. 37. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 391-395.
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