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Sarfaraz Abdul Sattar Natha

Observed names: Sarfaraz Natha, Sarfraz Abdul Sattar Natha, Sarfraz Natha, natha, sarfaraz
ORCID: 0009-0008-3254-8720
Observed ORCID: 0009-0008-3254-8720
OpenAlex ID: A5050698780
Deep BiLSTM Attention Model for Spatial and Temporal Anomaly Detection in Video Surveillance
2025 · Sarfaraz Natha, Fareed Ahmed, et al. · Sensors · 58
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Automated Brain Tumor Identification in Biomedical Radiology Images: A Multi-Model Ensemble Deep Learning Approach
2024 · Sarfaraz Natha, Umme Laila, et al. · Applied Sciences · 45
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Comparison of open source maturity models
2017 · Umm-e-Laila, Adnan Zahoor, et al. · Procedia Computer Science · 28
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An Integrated CNN-BiLSTM-Transformer Framework for Improved Anomaly Detection Using Surveillance Videos
2025 · Sarfaraz Natha, Mohammad Siraj, et al. · IEEE Access · 26
A Systematic Review of Anomaly detection using Machine and Deep Learning Techniques
2022 · Sarfraz Natha · Quaid-e-Awam University Research Journal of Engineering Science & Technology · 19
A Scalable and Generalized Deep Ensemble Model for Road Anomaly Detection in Surveillance Videos
2024 · Fareed A. Jokhio, Mehwish Laghari, et al. · Computers, materials & continua/Computers, materials & continua (Print) · 15
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A fusion approach of YOLOv8 and CNN-Transformer for End-to-End road anomaly detection
2025 · Sarfaraz Abdul Sattar Natha, Mohammad Siraj, et al. · Scientific Reports · 10
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Improving Traffic Surveillance: Deep Learning Approach for Road Anomaly Detection in Videos
2024 · Sarfaraz Natha, Muhammad Arif, et al. · IEEE International Conference on Computing and Machine Intelligence (ICMI) · 6
Efficient Method of Road Outlier Recognition Using Deep Learning Coupled with Data Augmentation Approach
2024 · Sarfaraz Natha, Fareed Ahmed Jokhio, et al. · Sir Syed University Research Journal of Engineering & Technology · 4
Automated Brain Tumor Classification from Magnetic Resonance Images Using Fine-Tuned EfficientNet-B6 with Bayesian Optimization Approach
2025 · Sarfaraz Abdul Sattar Natha, Mohammad Siraj, et al. · Computer Modeling in Engineering & Sciences · 2
Deep Learning-Based Predictive Analytics for Weapon Detection: A Fusion of FMR-CNN and YOLOv9 Models
2025 · Sarfaraz Abdul Sattar Natha, Muhammad Abdul Rehman Liaquat Ali, et al. · VFAST Transactions on Software Engineering · 1
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Hire IT Application Transforming Labor Hiring with Innovative Technologies
2023 · Muhammad Saad, Fatima Waseem, et al. · VFAST Transactions on Software Engineering · 1
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An Ensemble Modeling Approach to Enhance Grade Prediction in Academic Engineering Programming Courses
2023 · Khalid Mahboob, Sarfaraz Abdul Sattar Natha, et al. · VFAST Transactions on Software Engineering · 1
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Energy efficient and reliable routing in underwater internet of things using grid based fuzzy logic and multi hop forwarding
2026 · Hira Gul, Mukhtiar Ahmad, et al. · Scientific Reports
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High-precision classification of WCE-based gastrointestinal abnormality using a fusion deep learning approach
2026 · Mohammad Siraj, Sarfaraz Abdul Sattar Natha, et al. · Scientific Reports
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Deep Intelligence-Based Object Detection for Naval Surveillance and Threat Identification
2026 · Sarfraz Abdul Sattar Natha, Muhammad Irfan Memon, et al. · International Conference on Sustainable Engineering and Digital Innovation (ICSEDI)
A Deep Learning Approach for Pothole Detection Using Tuned YOLOv8 Parameters
2026 · Muhammad Khalid Shaikh, Mudasar Ahmed Soomro, et al. · Pakistan Journal of Engineering and Technology
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Bidirectional Motion-Temporal Deep Learning for Explainable Multi-Class Classification of Gastrointestinal Lesions in Wireless Capsule Endoscopy
2026 · Sarfaraz Natha, Mohammad Siraj, et al. · Computer Modeling in Engineering & Sciences
Sentiment Analysis of Multilingual Roman Text for E-Commerce Reviews using Machine Learning Approaches
2025 · Sana Riaz, Sarfraz Natha, et al. · VFAST Transactions on Software Engineering
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Customized Efficientnet-B6 for Brain Tumor Detection: Enhanced Accuracy with Bayesian Optimization and Deep Learning
2025 · Sarfaraz Natha, Mohammad Siraj, et al. · SSRN Electronic Journal
Works count: 25
Citation count: 219
H-index: 7
I10-index: 7
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