Rate My Professor T. N. Anitha

Dr. Anitha's scholarly works include the book "Introduction to Artificial Intelligence" published under the editorial board of Scientific International Publishing House in September 2022 (ISBN: 978-93-5625-507-4) and a book chapter titled "Applications of IoT Using Deep Learning" published by Techno Arete Group on September 29, 2022. Key journal articles authored by her are "Pneumonia Detection Using Various Neural Network Algorithms" in the Journal of Emerging Technologies and Innovative Research (JETIR), Volume 10, Issue 4, April 2023, and "Crop Yield Prediction Using Machine Learning" in JETIR, Volume 10, Issue 5, May 2023, pages 435-439. She has obtained a granted patent, Application Number 354776-001, for "A Wireless Patient Monitoring Device" issued on July 19, 2023. Additional patent applications include 202241035905 for "Emerging Markets and Strategic Fit for Corporate Companies" published July 7, 2022; 202241043780 for "Artificial Intelligence Technique to Automate the Process of Steel Making" published August 12, 2022; 202241062969 for "Flying Network Secured Communication with Machine Learning Enabled Environment" published November 3, 2022; and 202311010179 for "Efficient Analysis of Potential Health and Environmental Health Risks Associated with 6G Wireless Communication Networks" published March 17, 2023. Dr. Anitha has received Best Researcher awards from the International Institute of Organized Research (I2OR) and Green ThinkerZ. As Head of a department established in 1987 offering B.E. in Computer Science and Engineering with an intake of 800 students and serving as a VTU-recognized R&D Centre since 2016, she contributes to advancements in computing theories, algorithms, data science, machine learning, and soft computing.