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Mohib Ullah

A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines
2023 · Muhammad Sajjad, Fath U Min Ullah, et al. · Alexandria Engineering Journal · 214
Weaponized AI for cyber attacks
2021 · Muhammad Mudassar Yamin, Mohib Ullah, et al. · Journal of Information Security and Applications · 186
Serious games in science education: a systematic literature
2022 · Mohib Ullah, Sareer Ul Amin, et al. · Virtual Reality & Intelligent Hardware · 169
EADN: An Efficient Deep Learning Model for Anomaly Detection in Videos
2022 · Sareer Ul Amin, Mohib Ullah, et al. · Mathematics · 165
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Stacked Lstm Network for Human Activity Recognition Using Smartphone Data
2019 · Mohib Ullah, Habib Ullah, et al. · European Workshop on Visual Information Processing · 150
Internal Emotion Classification Using EEG Signal With Sparse Discriminative Ensemble
2019 · Habib Ullah, Muhammad Uzair, et al. · IEEE Access · 116
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Applications of LLMs for Generating Cyber Security Exercise Scenarios
2024 · Muhammad Mudassar Yamin, Ehtesham Hashmi, et al. · IEEE Access · 108
Facial Emotion Recognition Using Hybrid Features
2020 · Abdulrahman Alreshidi, Mohib Ullah · Informatics · 83
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Anomalous entities detection and localization in pedestrian flows
2018 · Habib Ullah, Ahmed B. Altamimi, et al. · Neurocomputing · 81
A Directed Sparse Graphical Model for Multi-target Tracking
2018 · Mohib Ullah, Faouzi Alaya Cheikh · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 66
Deep Learning for Multi-Label Learning: A Comprehensive Survey
2024 · Tarekegn, Adane Nega, Ullah, Mohib, et al. · arXiv (Cornell University) · 57
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Attention-based Lstm Network for Action Recognition in Sports
2021 · Mohib Ullah, Muhammad Mudassar Yamin, et al. · Electronic Imaging · 54
Weakly-Supervised Network for Detection of COVID-19 in Chest CT Scans
2020 · Ahmed Mohammed, Congcong Wang, et al. · IEEE Access · 52
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A hybrid social influence model for pedestrian motion segmentation
2018 · Habib Ullah, Mohib Ullah, et al. · Neural Computing and Applications · 52
Density independent hydrodynamics model for crowd coherency detection
2017 · Habib Ullah, Muhammad Uzair, et al. · Neurocomputing · 52
PedNet: A Spatio-Temporal Deep Convolutional Neural Network for Pedestrian Segmentation
2018 · Mohib Ullah, Ahmed Mohammed, et al. · Journal of Imaging · 51
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Crowd behavior identification
2016 · Mohib Ullah, Habib Ullah, et al. · Proceedings - International Conference on Image Processing · 46
Enhancing Multilingual Hate Speech Detection: From Language-Specific Insights to Cross-Linguistic Integration
2024 · Ehtesham Hashmi, Sule Yildirim Yayilgan, et al. · IEEE Access · 45
Integrating industry 4.0 technologies in defense manufacturing: Challenges, solutions, and potential opportunities
2024 · Habib Ullah, Muhammad Uzair, et al. · Array · 44
Deep Learning Based Models for Paddy Disease Identification and Classification: A Systematic Survey
2024 · Mahrin Tasfe, Akm Nivrito, et al. · IEEE Access · 44
Deep Feature Based End-to-End Transportation Network for Multi-Target Tracking
2018 · Mohib Ullah, Faouzi Alaya Cheikh · Proceedings - International Conference on Image Processing · 41
Disam: Density Independent and Scale Aware Model for Crowd Counting and Localization
2019 · Sultan Daud Khan, Habib Ullah, et al. · Proceedings - International Conference on Image Processing · 38
Optimized deep learning-based cricket activity focused network and medium scale benchmark
2023 · Waqas Ahmad, Muhammad Munsif, et al. · Alexandria Engineering Journal · 36
HoG based real-time multi-target tracking in Bayesian framework
2016 · Mohib Ullah, Faouzi Alaya Cheikh, et al. · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · 36
Benchmarking YOLO Models for Crop Growth and Weed Detection in Cotton Fields
2025 · Hassan Raza, Muhammad Abu Bakr, et al. · AgriEngineering · 34
Works count: 119
Citation count: 2,771
H-index: 28
I10-index: 56
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