Mohammad Farukh Hashmi

National Institute of Technology Warangal — India

Computer Science · Physical Sciences

23h-index2.1kcitations123works8.02yr avg
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Research Topics

Video Surveillance and Tracking Methods(17), Advanced Steganography and Watermarking Techniques(14), EEG and Brain-Computer Interfaces(14), Digital Media Forensic Detection(11), Anomaly Detection Techniques and Applications(10)

Publications123 total

Deep Learning in Electromyography Signal-based Lower Limb Angle Prediction and Activity Classification
Journal of Bionic Engineering·2025· 1 cited
Hybrid deep learning and handcrafted feature fusion for pneumonia detection in chest X-rays
Journal of Electrical Systems and Information Technology·2025· 1 citedOpen Access
Advanced semantic lung segmentation with a hybrid SegNet-ResNet50 network
Journal of Electrical Systems and Information Technology·2025Open Access
A Hybrid Approach for Emotions Classification using Modified Intrinsic Time Scale Decomposition
2025
Water Body Segmentation of Satellite Images using IR U-Net
2025
Improved performance on melanoma skin cancer classification using deep learning based ensemble technique
Intelligent Data Analysis·2025Open Access
Performance Comparison of Neural and Ensemble High Frequency GaN HEMTs Small-Signal Models
Procedia Computer Science·2025Open Access
Lw-PSCNN: Lightweight Pointwise-Separable Convolution Neural Network for ISAR Image Classification
IEEE Transactions on Instrumentation and Measurement·2025· 1 cited
An Efficient Classification and Detection of COVID-19, Pneumonia, and Tuberculosis Using Visual Attention Gated Networks
Traitement du signal·2024Open Access
GNLMD-Net: Gaussian Non-Local Means Despeckling Network for ISAR images
2024
Skin cancer classification using non-local means denoising and sparse dictionary learning based CNN
Journal of Electrical Systems and Information Technology·2024· 16 citedOpen Access
Role of artificial intelligence in healthcare applications using various biomedical signals
2024· 1 cited
An improved empirical mode decomposition method with ensemble classifiers for analysis of multichannel EEG in BCI emotion recognition
Computer Methods in Biomechanics & Biomedical Engineering·2024· 3 cited
Advancements in Wearable Sensors to Analyze Gait Phases: Towards Efficient Rehabilitation
2024
Object Detection for Remote Sensing Images Using YOLOv8
2024· 2 cited
Implementing Deep Learning models for Lower Limb Activity Prediction with sEMG signal Using Various Window Sizes
2024· 1 cited
LLANet: An Automatic Framework for Efficient Prediction of Lower Limb Activities Using sEMG Signals
IEEE Sensors Letters·2024· 1 cited
Selective Routing-Based Optic Disc Segmentation for Glaucoma Diagnosis
IEEE Sensors Letters·2024· 6 cited
Multiclass Tumor Segmentation From Brain MRIs Using GARU-Net: Gelu Activated Attention Aware Res-3DUNET for Adaptive Feature Pooling
IEEE Sensors Letters·2024· 12 cited
Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review
Artificial Intelligence Review·2024· 104 citedOpen Access
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Frequent Co-authors

Avinash G. Keskar(21), Neeraj Dhanraj Bokde(11), Zong Woo Geem(7), Banoth Thulasya Naik(6), Abdul Wahab Hashmi(5), Chintakindi Balaram Murthy(5), Vijay Anand(3), B. Kiran Kumar Ashish(3), Aditya Gupta(3), Harlal Singh Mali(3), Anoj Meena(3), Bharti Ahuja(3), Sharad Salunke(3), Satyarth Katiyar(2), Priyadarsini Samal(2), Mahendra Swain(2), Rajesh Singh(2), Jin Hee Yoon(2), Irshad Ahamad Khilji(2), Siti Nadiah binti Mohd Saffe(2)