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Author

Sunil Babu Melingi

Observed names: S. B. Melingi, Sunil Melingi
ORCID: 0000-0001-8720-4062
Observed ORCIDs: 0000-0001-8720-4062, 0000-0002-3429-4022
OpenAlex ID: A5037055739
An IoT aware nature inspired Multilayer Hybrid Dropout Deep-learning paradigm for waste image classification and management
2022 · M. Ramesh Kumar, K. Ashok Kumar, et al. · International Review of Applied Sciences and Engineering · 8
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A self-adaptive monarch butterfly optimization (MBO) algorithm based improved deep forest neural network model for detecting and classifying brain stroke lesions
2022 · Sunil Babu Melingi, Ramesh Kumar Mojjada, et al. · Research on Biomedical Engineering · 8
A Hybrid Approach for Sub-Acute Ischemic Stroke Lesion Segmentation Using Random Decision Forest and Gravitational Search Algorithm
2018 · Sunil Babu Melingi, V. Vijayalakshmi · Current Medical Imaging Formerly Current Medical Imaging Reviews · 7
Optimization Driven Spike Deep Belief Neural Network classifier: a deep-learning based Multichannel Spike Sorting Neural Signal Processor (NSP) module for high-channel-count Brain Machine Interfaces (BMIs)
2023 · Vanga Karunakar Reddy, Sunil Babu Melingi, et al. · Artificial Intelligence Review · 6
A Crossbred Approach for Effective Brain Stroke Lesion Segmentation
2018 · Sunil Melingi, Vijayalakshmi Vivekanand · International journal of intelligent engineering and systems · 5
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Automatic segmentation of sub-acute ischemic stroke lesion by using DTCWT and DBN with parameter fine tuning
2019 · Sunil Babu Melingi, V. Vijayalakshmi · Evolutionary Intelligence · 4
A Comparative Analysis of EfficientNet B0 and Resent-50 for Brain Stroke Detection
2024 · Manasa Priya Mounika Gondrala, Hema Rendeddula, et al. · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · 3
A Hyb-WGWO and Deep EMC–based Intelligent E-healthcare monitoring model for patient condition diagnosis in internet of things connected applications
2022 · Ramesh Kumar Mojjada, K. Ashok Kumar, et al. · Research on Biomedical Engineering · 3
Advanced Lane Detection with Ensemble Models: A Hybrid Approach Leveraging ResNet and VGG Variants for Feature Extraction
2025 · Sourav Mondal, M. Lavanya, et al. · International Conference on Computational Innovations and Engineering Sustainability (ICCIES) · 2
A bio‐inspired AlexNet‐DrpXLm architype for an effective brain stroke lesion detection and classification
2022 · Sunil Babu Melingi, Ramesh Kumar Mojjada, et al. · Concurrency and Computation Practice and Experience · 2
Plant Leaf Disease Detection using EfficientNetB5 and Transfer Learning
2026 · Kuppala Ajay Kumar, Yella Sai Krishna, et al. · International Conference on Inventive Computation and Information Technologies (ICICIT) · 1
Design of Turbo Trellis Coding Modulation Scheme of Rate 4/9 for Rician Fading Channel
2023 · Raj Kumar Goswami, Srinivasa Rao Kandula, et al. · International Journal on Recent and Innovation Trends in Computing and Communication · 1
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ResNet-50-XGBoost Based Hybrid Model for Detection and Classification of Breast Cancer in Histopathology Imaging
2026 · K. Vinay, D. Lohith, et al. · International Journal of Innovative Science and Research Technology (IJISRT)
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An Smart-Based CNN Transformers Model for Prediction of Chronic Kidney Disease
2026 · Mahankali Dhanush, Kunta Sateesh, et al. · CRC Press eBooks
Smart Crop Health Monitoring using YOLO-based Leaf Disease Classification and Pesticide Advisory System using Deep Learning
2026 · Radha Krishna Mukkapati, Jayendra Nelakurthi, et al. · International Conference on Computing Methodologies and Communication (ICCMC)
VGG16 & DenseNet121 based Ensemble Deep Learning Approach for Traffic Sign Recognition
2026 · Sai Harshitha Narlapati, Sruthi Bajjuri, et al. · International Conference on Sustainable Computing and Smart Systems (ICSCSS)
Hybrid VGG16-DenseNet121 with Vision Transformer and AutoML for Brain Stroke Prediction Using CT Imaging
2026 · Penumudi Harshitha, Akurathi Thirumalarao, et al. · International Conference on Natural Language Processing and Computer Vision (ICNPCV)
ConvNeXt-Based Deep Learning Framework for Brain Tumor Classification From MR Imaging: A Comparative Study with Transformer and Baseline Models
2026 · Paradaparapu Mokshaga, D. Vidya Vyshnavi, et al. · International Conference on Natural Language Processing and Computer Vision (ICNPCV)
An OpenCV based Efficient Deep Learning approach for Vehicle Collision Detection using YOLOv12
2026 · Sai Bharath Srigakolapu, Venkata Balaji Sirangi, et al. · International Conference on Intelligent Technologies (CONIT)
Deep Literature Review on Sub-Acute Brain Ischemia Detection Using CT and MR-Images Over Learning Techniques, Limitations, Motivational Factors and Future Trends
2026 · Batta Saranya, Sunil Babu Melingi · International Journal of Image and Graphics
Detection and Classification of Automated Brain Stroke Lesion with Optimized Dual Stage Deep Stacked Auto-Encoder
2026 · Sunil Babu Melingi, C. Tamizhselvan, et al. · Frontiers in biomedical technologies
An Efficient VGG-19-ResNet50 Based Learning Model For Lung Cancer Classification
2026 · Sneha Navya Sri Dontineni, Janaki Ram Kolluru, et al. · Lecture notes in networks and systems
A Multi-Model Approach for Brain Tumor Detection in CT Scans Using YOLOv11 and Pre-trained Networks
2026 · Sunil Babu Melingi, Kavya Sree Tota, et al. · Lecture notes in networks and systems
ResNet101-EfficientNetB5 Based Learning Model for Efficient Classification of Brain Ischemia in CT Imaging
2026 · Sunil Babu Melingi, Sri Vagdevi Samhitha Maddireddy, et al. · Lecture notes in networks and systems
Height Horizons: Leveraging Machine Learning to Enhance Adult Height Predictions from Parental Height
2025 · Sourav Mondal, Thirumala Rao Akurathi, et al. · Lecture notes in networks and systems
Works count: 29
Citation count: 50
H-index: 5
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