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Venkata Subbaiah Desanamukula

Observed names: D. Venkata Subbaiah, Desanamukula Venkata Subbaiah, Dr.Venkata Subbaiah Desanamukula
Observed institution: Andhra University
ORCID: 0000-0002-5974-4069
Observed ORCIDs: 0000-0002-5974-4069, 0000-0001-7850-5306
OpenAlex ID: A5103098794
Enhanced Speckle Noise Reduction in Breast Cancer Ultrasound Imagery Using a Hybrid Deep Learning Model
2023 · Nagireddy Venkata Raja Sekhar Reddy, Chengamma Chitteti, et al. · Ingénierie des systèmes d information · 53
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A mass correlation based deep learning approach using deep Convolutional neural network to classify the brain tumor
2022 · Gandi Satyanarayana, P. Appala Naidu, et al. · Biomedical Signal Processing and Control · 47
A Comprehensive Analysis of Machine Learning and Deep Learning Approaches towards IoT Security
2023 · Venkata Subbaiah Desanamukula, M Asha Priyadarshini, et al. · International Conference on Electronics and Sustainable Communication Systems (ICESC) · 28
Enhancing security and efficiency in Mobile Ad Hoc Networks using a hybrid deep learning model for flooding attack detection
2025 · Pramodh Krishna D., E. Sandhya, et al. · Scientific Reports · 21
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Enhanced deep learning models for automatic fish species identification in underwater imagery
2024 · Siri D, Gopikrishna Vellaturi, et al. · Heliyon · 21
An In-Depth Exploration of ResNet-50 and Transfer Learning in Plant Disease Diagnosis
2024 · Venkata Subbaiah Desanamukula, Thatikonda Dharma Teja, et al. · International Conference on Inventive Computation Technologies (ICICT) · 20
l, r-Stitch Unit: Encoder-Decoder-CNN Based Image-Mosaicing Mechanism for Stitching Non-Homogeneous Image Sequences
2021 · Premith Kumar Chilukuri, Preethi Padala, et al. · IEEE Access · 10
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Regression Based Price Prediction of Staple Food Materials Using Multivariate Models
2022 · K. Venkateswara Rao, D. Srilatha, et al. · Scientific Programming · 9
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An Efficient License Plate Recognition Model Through Deep Learning Integration with YOLO and OCR Techniques
2024 · N. Supriya, Dukuru Chiranjevi, et al. · International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE) · 7
Stacked Extreme Learning Machine with Horse Herd Optimization: A Methodology for Traffic Sign Recognition in Advanced Driver Assistance Systems
2023 · Praveen Kumar Jayapal, Venkateswara Rao Muvva, et al. · Mechatronics and intelligent transportation systems · 6
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A Novel Approach for Detection of Driver Drowsiness Using Behavioural Measures
2020 · D. Venkata Subbaiah, Pushkal Padala, et al. · Lecture notes in networks and systems · 5
Driver Drowsiness Detection Methods: A Comprehensive survey
2019 · D. Venkata Subbaiah, Prof. Prasad Reddy P.V.G.D, et al. · International Journal of Research in Advent Technology · 5
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Food Classification Using a Hybrid Framework with Transfer Learning and Machine Learning Models
2025 · Bharathi Panduri, Nagagopiraju Vullam, et al. · International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE) · 4
Enhancing Privacy Protection in Online Federated Learning: A Method for Secure Face Image De-Identification Using a Modified Diffie-Hellman Algorithm
2023 · Venkata Nagaraju Thatha, Srihari Varma Mantena, et al. · Mathematical Modelling and Engineering Problems · 3
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AMMDAS: Multi-Modular Generative Masks Processing Architecture With Adaptive Wide Field-of-View Modeling Strategy
2020 · Venkata Subbaiah Desanamukula, Premith Kumar Chilukuri, et al. · IEEE Access · 3
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Driver drowsiness detection system based on infinite feature selection algorithm and support vector machine
2022 · Desanamukula Venkata Subbaiah, Padala Pushkal, et al. · International Journal of Knowledge-based and Intelligent Engineering Systems · 2
A hybrid convolutional neural network-recurrent neural network approach for breast cancer detection through Mask R-CNN and ARI-TFMOA optimization
2025 · Keshetti Sreekala, Srilatha Yalamati, et al. · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 1
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Enhancing security in vehicular Ad hoc networks: A novel approach using DSFLA, SACVAEGAN, and OAEF
2024 · Venkata Subbaiah Desanamukula, B. Gunapriya, et al. · Journal of Integrated Science and Technology · 1
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Secure Recommendation System Based on Federated Graph Neural Networks for Distributed E-Commerce Platforms
2026 · M. V Rajesh, K Venkateswara Rao, et al. · International Journal of Drug Delivery Technology
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Explainable Multimodal Adverse Drug Reaction Detection using Hybrid Graph and Convolutional Neural Networks
2026 · Venkata Subbaiah Desanamukula, Syed Rasha, et al. · International Conference on Trends in Electronics and Informatics (ICOEI)
Derma Nutri: An AI-Powered Multilingual Recommendation System for Affordable Skincare and Nutrition
2026 · Venkata Subbaiah Desanamukula, D. V. V. Krishnaveni, et al. · International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA)
Advanced Android Malware Detection with Self-supervised Learning and Multi-model Classification
2026 · Venkata Subbaiah Desanamukula, P. Sujatha, et al. · Lecture notes in networks and systems
Multi-Model News Classification using BERT Features and Class-Balanced Resampling Techniques
2025 · Kallepalli Rohit Kumar, Ranjith Kumar Chinnam, et al. · International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
Enhancing Skin Cancer Detection with Novel Data Augmentation and Transfer Learning Techniques
2025 · Nagagopiraju Vullam, Gummadi Sudha Rani, et al. · International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC)
Prediction of Alzheimer’s Disease Using Modified DNN with Optimal Feature Selection Based on Seagull Optimization
2024 · Ashok Bhansali, Devulapalli Sudheer, et al. · Journal of Imaging Informatics in Medicine
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Works count: 28
Citation count: 246
H-index: 8
I10-index: 7
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