Dr POLURU ESWARAIAH
Assistant Professor
Andhra Pradesh
Expertise:
Computer Science Artificial Intelligence
12
Publications
0
Projects
30
Scopus Citations
13
CrossRef
10 Years 9 Months Total Experience
Scopus
30
Citations
4
h-index
CrossRef
13
Citations
3
h-index
Google Scholar
Loading Scholar statistics...
Professional Recognition
No Data Found
There is currently nothing to display here.
Community & Membership
No Data Found
There is currently nothing to display here.
No Data Found
There is currently nothing to display here.
Personal Details
Doctor of Philosophy
2024
N/A
Master of Technology
2015
N/A
Bachelor of Technology
2012
N/A
Assistant Professor
Jan 2024 – Present
Unknown Organization
Assistant Professor
Dec 2015 – Jan 2024
Vignan Institute of Technology and Sciences, Nalgonda
Engineering and Technology
Scholarly Work
No Data Found
There is currently nothing to display here.
No Data Found
There is currently nothing to display here.
SMART ELECTRONIC DEVICE FOR CONTROLLING ENERGY CONSUMPTION IN ELECTRONIC APPLIANCES
Ms. Geetha Kurikala Dr. Kummari Venkatesh
Dr. Poluru Eswaraiah
Mr. MDV Prasad
-
Application No. :
202541104530
Filed :
29-10-2025
Published :
28-09-2025
Published
SYSTEM FOR EXTRACTING MEDICAL DATA FROM TEXTUAL DOCUMENTS
HUSSAIN SYED POLURU ESWARAIAH
-
Application No. :
202441050324
Filed :
01-07-2024
Published :
05-07-2024
Published
ARTIFICIAL INTELLIGENCE BASED ASSISTANT WITH IMAGE ANALYSIS FOR DIARY FARMING
Mr. Rama Krishna Eluri
-
Application No. :
202341044191
Filed :
30-06-2023
Published :
01-09-2023
Published
Scholarly Publications
Graph neural networks for networked analysis of gestational diabetes risk factors: a multi method framework
Open Access
Design of an Iterative Multi-Analytical Fuzzy TOPSIS Framework for Enhancing Electoral Decision Systems in India: Interpretability, Regional Adaptation, and Policy Simulations
Open AccessA Hybrid Approach for Query-Based Data Extraction Using Ensemble BERT Model with Walrus Optimization Algorithm
Open AccessDEEP LEARNING-DRIVEN MOSQUITO SPECIES IDENTIFICATION USING YOLOV5 FOR DISEASE MONITORING AND CONTROL
Scopus: 1
A Comprehensive Survey on Models, Architectures, and Performance Metrics for Medicinal Plant Classification Using Machine Learning and Deep Learning Approaches
Open AccessAn Analytical Review of Large Language Models Leveraging KDGI Fine-Tuning, Quantum Embedding’s, and Multimodal Architectures
Open AccessA Hybrid Deep Learning GRU based Approach for Text Classification using Word Embedding
Open AccessDeep learning-based information retrieval with normalized dominant feature subset and weighted vector model
Open Access
Showing 1 to 8 of 12 publications