Sailaja Madhu
VIDWAN ID: 179728

Mrs Sailaja Madhu

Female Doctor of Philosophy
Assistant Professor | Department of Computer Science and Engineering
Malla Reddy Engineering College for women
Telangana
Expertise: Computer Science Information Systems
9 Publications
0 Projects
38 Scopus Citations
32 CrossRef
7 Years 8 Months Total Experience
Publications
9 Total
Articles
6
Chapters
1
Proceedings
2
Activity

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Scopus Scopus
38 Citations
4 h-index
CrossRef CrossRef
32 Citations
4 h-index
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Professional Recognition

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Personal Details

Doctor of Philosophy
2019
N/A
Master of Technology
2014
Swathi College of Arts & Science Next to Nellore toll Plaza, Venkatachalam
Assistant Professor
Jan 2019 – Present
Malla Reddy Engineering College for women | Department of Computer Science and Engineering
Engineering and Technology
Computer Science Information Systems

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Scholarly Work

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SYSTEM FOR PREDICTIVE MAINTENANCE IN IOT ANTENNA AND METHOD EMPLOYED THEREOF

Gitam University
- Application No. : 202441098379 Filed : 30-11--0001
Published : 30-11--0001 Published

Scholarly Publications

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

Effective Early Detection of Leaf disease in Pepper Bell, Potato and Cotton using Heterogeneous Bi-Directional Recurrent Neural Network

Conference Paper
Year: 2025.
Authors: Sailaja Madhu; V. Ravisankar

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.
Showing 1 to 8 of 9 publications