Sailaja Gajji
VIDWAN ID: 576067

Ms Sailaja Gajji

Female Master of Technology
Assistant Professor | Computer Science and Engineering - CSE
Narsimha Reddy Engineering College
Telangana
Expertise: Computer Science Information Systems
9 Publications
0 Projects
38 Scopus Citations
32 CrossRef
2 Years 1 Month Total Experience
Publications
9 Total
Articles
6
Chapters
1
Proceedings
2
Activity

No publication activity to display.

Scopus Scopus
38 Citations
4 h-index
CrossRef CrossRef
32 Citations
4 h-index
Google Scholar 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

Master of Technology
2022
N/A
Assistant Professor
Jun 2026 – Present
Narsimha Reddy Engineering College | Computer Science and Engineering - CSE
Assistant Professor
Oct 2025 – Jun 2026
Malla Reddy College of Engineering & Technology | Computer Science and Engineering
Assistant Professor
Aug 2024 – Oct 2025
Malla Reddy College of Engineering for women | Department of Computer Science and Engineering
Engineering and Technology
Computer Science Information Systems

Related Profiles

Scholarly Work

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

Scholarly Publications

A-MENet: An effective IoT-based Robust Crop Pest Recognition and classification using adaptive multi-dilated EfficientNet in agriculture field

Open Access
Journal Article
Agriculture, Ecosystems & Environment. Year: 2026. Volume: 411 , Pages: 110549 .
Authors: Sailaja Madhu; Dr. Kovvuri N Bhargavi; Anantharamaiah Vengala; A.Venkata Mahesh; Pradeep Vinaik Kodavanti

Accurate diabetic retinopathy segmentation and classification model using gated recurrent unit with residual attention network

Journal Article
Biomedical Signal Processing and Control. Year: 2025. Volume: 102 , Pages: 107348 .
Authors: Madhu, S.; Bhargavi, D.K.N.; Ramprasad, M.V.S.; Gautam, S.; Bhavana, S.

Comprehensive Analysis of a YOLO-based Deep Learning Model for Cotton Plant Leaf Disease Detection

Open Access
Journal Article
Engineering, Technology & Applied Science Research. Year: 2025. Volume: 15 , Issue: 1 , Pages: 19947-19952 .
Authors: Madhu, S.; Ravisankar, V.

Optimized heterogeneous bi-directional recurrent neural network for early leaf disease detection and pesticides recommendation system

Journal Article
Energy & Environment. Year: 2024. Volume: 37 , Issue: 4 , Pages: 2183-2206 .
Authors: Madhu, S.; Ravi Sankar, V.

An Hybrid Approach Based on Clustering and Synthetic Sample Generation for Imbalance Data Classification: ClustSyn

Book Chapter
Year: 2022. Pages: 775-784 .
Authors: Rekha, G.; Madhu, S.

Study on Influence of Outliers on the Performance of Various Classification Algorithms

Conference Paper
Year: 2022. Pages: 437-445 .
Authors: Sunitha, L.; Makka, S.; Madhu, S.; Bheemeswara Sastry, J.

Severity-Level Classification of Cotton Leaf Diseases Using the Enhanced Yolov8 Deep Learning Model

Open Access
Journal Article
International Journal on Electrical Engineering and Informatics. Year: 2026. Volume: 18 , Issue: 1 , Pages: 98-117 .
Authors: Sailaja Madhu; V. Ravi Sankar

Robust cotton leaf disease classification using hybrid deep learning approach with multi-loss function

Open Access
Journal Article
International Journal of Signal and Imaging Systems Engineering. Year: 2026. Volume: 14 , Issue: 3 , Pages: 147-164 .
Authors: Sailaja Madhu; V. Ravisankar
Showing 1 to 8 of 9 publications