Muhammad Shahid Anwar
Orcid: 0000-0001-8093-6690Affiliations:
- Beijing Institute of Technology, China
According to our database1,
Muhammad Shahid Anwar
authored at least 47 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Non-orthogonal multiple access-based MEC for energy-efficient task offloading in e-commerce systems.
J. Cloud Comput., December, 2024
Hybrid Parallel Fuzzy CNN Paradigm: Unmasking Intricacies for Accurate Brain MRI Insights.
IEEE Trans. Fuzzy Syst., October, 2024
Enhancing IoT security: a collaborative framework integrating federated learning, dense neural networks, and blockchain.
Clust. Comput., September, 2024
AD-CAM: Enhancing Interpretability of Convolutional Neural Networks With a Lightweight Framework - From Black Box to Glass Box.
IEEE J. Biomed. Health Informatics, January, 2024
Enhancing explainability in brain tumor detection: A novel DeepEBTDNet model with LIME on MRI images.
Int. J. Imaging Syst. Technol., January, 2024
Pashto poetry generation: deep learning with pre-trained transformers for low-resource languages.
PeerJ Comput. Sci., 2024
Emotion detection from handwriting and drawing samples using an attention-based transformer model.
PeerJ Comput. Sci., 2024
PeerJ Comput. Sci., 2024
Security risk models against attacks in smart grid using big data and artificial intelligence.
PeerJ Comput. Sci., 2024
Pashto script and graphics detection in camera captured Pashto document images using deep learning model.
PeerJ Comput. Sci., 2024
Privacy-preserving AI for early diagnosis of thoracic diseases using IoTs: A federated learning approach with multi-headed self-attention for facilitating cross-institutional study.
Internet Things, 2024
Identification of biological markers in cancer disease using explainable artificial intelligence.
Int. J. Imaging Syst. Technol., 2024
Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification.
Frontiers Comput. Neurosci., 2024
Enhancing brain tumor classification in MRI scans with a multi-layer customized convolutional neural network approach.
Frontiers Comput. Neurosci., 2024
Comput. Sci. Rev., 2024
Adaptive magnification network for precise tumor analysis in histopathological images.
Comput. Hum. Behav., 2024
A Moving Metaverse: QoE challenges and standards requirements for immersive media consumption in autonomous vehicles.
Appl. Soft Comput., 2024
IEEE Access, 2024
Machine Learning Based Diagnostic Paradigm in Viral and Non-Viral Hepatocellular Carcinoma.
IEEE Access, 2024
Frequency Regulation in Interconnected Power System Through Enhanced Beluga Whale Optimized Flatness-Based Active Disturbance Rejection Control.
IEEE Access, 2024
Investigating the Potential of VR in Language Education: A Study of Cybersickness and Presence Metrics.
Proceedings of the 13th International Conference on Educational and Information Technology, 2024
2023
Towards efficient human-machine interaction for home energy management with seasonal scheduling using deep fuzzy neural optimizer.
Cogn. Technol. Work., August, 2023
A novel hybrid requirement's prioritization approach based on critical software project factors.
Cogn. Technol. Work., August, 2023
CAAI Trans. Intell. Technol., June, 2023
Applying Enhanced Real-Time Monitoring and Counting Method for Effective Traffic Management in Tashkent.
Sensors, 2023
Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution.
PeerJ Comput. Sci., 2023
Internet of Things-based sustainable environment management for large indoor facilities.
PeerJ Comput. Sci., 2023
J. King Saud Univ. Comput. Inf. Sci., 2023
Anomaly Prediction over Human Crowded Scenes via Associate-Based Data Mining and K-Ary Tree Hashing.
Int. J. Intell. Syst., 2023
Robust Approach for Global Stabilization of a Class of Underactuated Mechanical Systems in Presence of Uncertainties.
Complex., 2023
Toward an Optimal and Structured Feature Subset Selection for Multi-Target Regression Using Genetic Algorithm.
IEEE Access, 2023
Toward Design of Internet of Things and Machine Learning-Enabled Frameworks for Analysis and Prediction of Water Quality.
IEEE Access, 2023
Cyber Forensic Investigation Infrastructure of Pakistan: An Analysis of the Cyber Threat Landscape and Readiness.
IEEE Access, 2023
Multi-Clustered Mathematical Model for Student Cognitive Skills Prediction Optimization.
IEEE Access, 2023
2022
A Robust End-to-End Deep Learning-Based Approach for Effective and Reliable BTD Using MR Images.
Sensors, 2022
2021
Fusion of Machine Learning and Privacy Preserving for Secure Facial Expression Recognition.
Secur. Commun. Networks, 2021
Empirical Investigation of Multimodal Sensors in Novel Deep Facial Expression Recognition In-the-Wild.
J. Sensors, 2021
2020
Sci. China Inf. Sci., 2020
An efficient method for generating assembly precedence constraints on 3D models based on a block sequence structure.
Comput. Aided Des., 2020
Subjective QoE of 360-Degree Virtual Reality Videos and Machine Learning Predictions.
IEEE Access, 2020
Impact of the Impairment in 360-Degree Videos on Users VR Involvement and Machine Learning-Based QoE Predictions.
IEEE Access, 2020
IEEE Access, 2020
2019
IEEE Access, 2019
Proceedings of the Innovative Mobile and Internet Services in Ubiquitous Computing, 2019
An Interactive Virtual Training System for Assembly and Disassembly Based on Precedence Constraints.
Proceedings of the Advances in Computer Graphics, 2019
2018
IEEE Access, 2018
Nonlinear Manifold Feature Extraction Based on Spectral Supervised Canonical Correlation Analysis for Facial Expression Recognition with RRNN.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018