NM
Naresh Babu Muppalaneni
Indian Institute of Information Technology Design and Manufacturing, Kurnool, National Institute of Technology Silchar, Acharya Nagarjuna University, Andhra University College of Engineering
Employment
-
Indian Institute of Information Technology Design and Manufacturing, Kurnool Associate Professor2023 - Present
-
National Institute of Technology Silchar Assistant Professor2019 - Present
-
Sree Vidyanikethan Engineering College Associate Professor2016 - 2019
-
CR Rao Advanced Institute of Mathematics Statistics and Computer Science Assistant Professor2012 - 2016
Education
-
Acharya Nagarjuna University PhD2008 - 2012
-
Andhra University College of Engineering M.Tech2004 - 2006
-
Andhra University B.Tech1999 - 2003
Projects & Funding
Projects & funding information is unavailable.
Publications (85)
- Assessing the factors of blockchain technology-enabled hospitals using an integrated interval-valued q-rung orthopair fuzzy decision-making model Save
- OCR Advancement with Pixel-Focused CNN for Handwritten Characters: A Journey with AsTel Dataset Save
- Stairdepth: a novel staircase detection through depth maps generated by depth anything V2 Save
- An explainable Liquid Neural Network combined with path aggregation residual network for an accurate brain tumor diagnosis Save
- A top-down character segmentation approach for Assamese and Telugu handwritten documents Save
- Design and Development of a Chatbot for Personalized Learning in Higher Education Save
- Explainability based Panoptic brain tumor segmentation using a hybrid PA-NET with GCNN-ResNet50 Save
- Interval-valued q-rung orthopair fuzzy complex proportional assessment-based approach and its application for evaluating the factors of blockchain technology in various domains Save
- Multi-criteria group decision-making method based on einstein power operators, distance measure, additive ratio assessment, and interval-valued q-rung orthopair fuzzy sets Save
- Significance and Challenges in Blockchain-Based Secure Sharing of Healthcare Data Save