Mohd Saquib Siddiqui

24 Oct
Posted on Author
DR. D. Anitha Kumari
Affiliation Professor, TKR College of Engineering & Technology, Hyderabad, India
Email-Id: ANITHAKUMARIDARA@GMAIL.COM
Publication: Patents:

  • Dr. D. Anitha Kumari received a patent (No. 202241013174A) on “Supply chain coordination in the Internet of Things for fresh agricultural products.” It was awarded on 25 March 2022, India.
  • Dr. D. Anitha Kumari received a patent (No. 202241027116) on “Morphological characters-based oil spill detection from Radarsat-2 SAR satellite dataset.” It was awarded on 20 May 2022, India.
  • Dr. D. Anitha Kumari received a patent (No. 202241066588) on “Design of an integer linear programming model for partially ordered sets of logical units of computers.” It was awarded on 9 December 2022, India.

Books:

  • Dr. D. Anitha Kumari and Dr. K. S. R. Radhika published a book titled “Research Algorithms in Real Time Applications.” 2023

Publicaitons:

  • M. Venkata Krishna Reddy, L. Raghavendar Raju, Kashi Sai Prasad, D. Anitha Kumari, Vadlamani Veerabhadram, and Nagendar Yamsani published a paper titled “Enhanced effective convolutional attention network with squeeze-and-excitation inception module for multi-label clinical document classification” in Scientific Reports, 2025
  • G. Mokesh Rayalu, K. S. R. Radhika, D. Anitha Kumari, Vamsi Krishna Reddy Botta, G. Padmaja, and Mohammed Ali Hussain published a paper titled “ADAPT: an AI Driven approach for arrhythmia detection in diabetic patients” in International Journal of System Assurance Engineering and Management (Springer), 2024
  • Rakesh S., Smrita Barua, D. Anitha Kumari, and Naresh E. published a paper titled “An Enhanced Fuzzy Deep Learning (IFDL) Model for Pap-Smear Cell Image Classification” in the book Advances in Fuzzy-Based Internet of Medical Things (IoMT), Scrivener Publishing LLC (pages 135–148), 2024
  • Dr. D. Anitha Kumari, Venkata Charan Kantumuchu, Dr. G. Laxmaiah, and K. Sridhar published a paper titled “A Case Study on Project Analytics Related to Data-Driven Framework by Using Machine Learning” in A Journal for New Zealand Herpetology, Vol. 12, Issue 01, pages 1–14, 2023
  • Dr. K. S. R. Radhika, Dr. D. Anitha Kumari, Dr. Sunitha Pachala, Dr. S. Jayaprada, Dr. K. Chaitanya, and Dr. B. Srikanth published a paper titled “The Effective Quantitative Analysis for Brain Tumor Diagnosis Using an Efficient Deep Learning Algorithm” in International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 11, Issue 9s, pages 568, 2023