Training neural network with zero weight initialization. - Sarfaraz Masood; Pravin Chandra (CUBE, 2012)

Voice-Based Detection of Parkinson's Disease through Ensemble Machine Learning Approach: A Performance Study. - Iqra Nissar; Danish Raza Rizvi; Sarfaraz Masood; Aqib Nazir Mir (EAI Endorsed Trans. Pervasive Health Technol., 2019)

Detecting distraction of drivers using Convolutional Neural Network. - Sarfaraz Masood; Abhinav Rai; Aakash Aggarwal; Mohammad Najam Doja; Musheer Ahmad 002 (Pattern Recognit. Lett., 2020)

A Vision Transformer Model for Violence Detection from Real-Time Videos. - Arfin Shagufta; Mohammad Tarique Hesham; Sarfaraz Masood; Ahmed A. Abd El-Latif 001 (ICFNDS, 2021)

Towards minimization of overall inconsistency involved in criteria weights for improved decision making. - Sameera Mufazzal; Sarfaraz Masood; Noor Zaman Khan; S. M. Muzakkir; Zahid A. Khan (Appl. Soft Comput., 2021)

A novel finite rings based algebraic scheme of evolving secure S-boxes for images encryption. - Abdul Razaq 002; Iqra; Musheer Ahmad 002; Muhammad Awais Yousaf 001; Sarfaraz Masood (Multim. Tools Appl., 2021)

Attention based CNN model for fire detection and localization in real-world images. - Saima Majid; Fayadh Alenezi; Sarfaraz Masood; Musheer Ahmad 002; Emine Selda Gündüz; Kemal Polat (Expert Syst. Appl., 2022)

FD-YOLOv5: A Fuzzy Image Enhancement Based Robust Object Detection Model for Safety Helmet Detection. - Mohd. Sadiq; Sarfaraz Masood; Om Pal (Int. J. Fuzzy Syst., 2022)

Intelligent Driver Drowsiness Detection for Traffic Safety Based on Multi CNN Deep Model and Facial Subsampling. - Muneeb Ahmed; Sarfaraz Masood; Musheer Ahmad 002; Ahmed A. Abd El-Latif 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Indian Cultural event detection using GBVS boosted deep convolutional neural networks. - Sarfaraz Masood; Aquib Hussain; Mohd Tauheed Khan; Parth Trehan (ICMLDE, 2023)

LW-DeepFakeNet: a lightweight time distributed CNN-LSTM network for real-time DeepFake video detection. - Umar Masud; Mohd. Sadiq; Sarfaraz Masood; Musheer Ahmad 002; Ahmed A. Abd El-Latif 001 (Signal Image Video Process., 2023)

Diagnosis of breast cancer molecular subtypes using machine learning models on unimodal and multimodal datasets. - Samta Rani; Tanvir Ahmad; Sarfaraz Masood; Chandni Saxena (Neural Comput. Appl., 2023)

A Probabilistic Approach for Extractive Summarization Based on Clustering Cum Graph Ranking Method. - Amreen Ahmad; Tanvir Ahmad; Sarfaraz Masood; Mohd Khizir Siddiqui; Basma Abd El-Rahiem; Pawel Plawiak; Fahad Alblehai (IEEE Access, 2024)

MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms. - Iqra Nissar; Shahzad Alam; Sarfaraz Masood; Mohammad Kashif (Comput. Methods Programs Biomed., 2024)

Exploring learning environments for label-efficient cancer diagnosis. - Samta Rani; Tanvir Ahmad; Sarfaraz Masood; Chandni Saxena (CoRR, 2024)

Parkinson's Disease Diagnosis Through Deep Learning: A Novel LSTM-Based Approach for Freezing of Gait Detection. - Aqib Nazir Mir; Iqra Nissar; Mumtaz Ahmed; Sarfaraz Masood; Danish Raza Rizvi (CoRR, 2024)

An FCN-LSTM model for neurological status detection from non-invasive multivariate sensor data. - Sarfaraz Masood; Rafiuddin Khan; Ahmed A. Abd El-Latif 001; Musheer Ahmad 002 (Neural Comput. Appl., 2024)

Machine learning approaches for neurological disease prediction: A systematic review. - Ana Fatima; Sarfaraz Masood (Expert Syst. J. Knowl. Eng., 2024)

Computationally efficient LC-SCS deep learning model for breast cancer classification using thermal imaging. - Iqra Nissar; Shahzad Alam; Sarfaraz Masood (Neural Comput. Appl., 2024)