Muhammad, Ghulam

Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion

Amin, S. U., Alsulaiman, M., Muhammad, G., Mekhtiche, M. A., & Shamim Hossain, M. (2019) · Future Generation Computer Systems

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 523

Federated learning-based AI approaches in smart healthcare: Concepts, taxonomies, challenges and open issues

Rahman, A., Hossain, M. S., Muhammad, G., Kundu, D., Debnath, T., Rahman, M., Khan, M. S. I., Tiwari, P., & Band, S. S. (2023) · Cluster Computing

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 399

Explainable AI and Mass Surveillance System-Based Healthcare Framework to Combat COVID-I9 Like Pandemics

Hossain, M. S., Muhammad, G., & Guizani, N. (2020) · IEEE Network

IoT and Edge/Fog ComputingCOVID-19 diagnosis using AI

Cited by 347

Automatic fruit classification using deep learning for industrial applications

Hossain, M. S., Al-Hammadi, M., & Muhammad, G. (2019) · IEEE Transactions on Industrial Informatics

Advanced Neural Network ApplicationsSmart Agriculture and AI

Cited by 347

A comprehensive survey on multimodal medical signals fusion for smart healthcare systems

Muhammad, G., Alshehri, F., Karray, F., Saddik, A. E., Alsulaiman, M., & Falk, T. H. (2021) · Information Fusion

Non-Invasive Vital Sign MonitoringAdvanced Image Fusion Techniques

Cited by 287

Emotion-aware connected healthcare big data towards 5G

Hossain, M. S., & Muhammad, G. (2018) · IEEE Internet of Things Journal

Emotion and Mood RecognitionInternet of Things and AI

Cited by 273

A Lightweight and Robust Secure Key Establishment Protocol for Internet of Medical Things in COVID-19 Patients Care

Masud, M., Gaba, G. S., Alqahtani, S., Muhammad, G., Gupta, B. B., Kumar, P., & Ghoneim, A. (2021) · IEEE Internet of Things Journal

Advanced Authentication Protocols SecurityPhysical Unclonable Functions (PUFs) and Hardware Security

Cited by 258

Smart Health Solution Integrating IoT and Cloud: A Case Study of Voice Pathology Monitoring

Muhammad, G., Rahman, S. M. M., Alelaiwi, A., & Alamri, A. (2017) · IEEE Communications Magazine

Internet of Things and AIVoice and Speech Disorders

Cited by 244

Voice Pathology Detection and Classification Using Auto-Correlation and Entropy Features in Different Frequency Regions

Al-Nasheri, A., Muhammad, G., Alsulaiman, M., Ali, Z., Malki, K. H., Mesallam, T. A., & Farahat Ibrahim, M. (2018) · IEEE Access

Voice and Speech DisordersPhonocardiography and Auscultation Techniques

Cited by 174

EEG-Based Pathology Detection for Home Health Monitoring

Muhammad, G., Hossain, M. S., & Kumar, N. (2021) · IEEE Journal on Selected Areas in Communications

EEG and Brain-Computer InterfacesECG Monitoring and Analysis

Cited by 148

Smart-Edge-CoCaCo: AI-Enabled Smart Edge with Joint Computation, Caching, and Communication in Heterogeneous IoT

Hao, Y., Miao, Y., Tian, Y., Hu, L., Hossain, M. S., Muhammad, G., & Amin, S. U. (2019) · arXiv

IoT and Edge/Fog ComputingCaching and Content Delivery

Cited by 130

Smart-Edge-CoCaCo: AI-Enabled Smart Edge with Joint Computation, Caching, and Communication in Heterogeneous IoT

Hao, Y., Miao, Y., Hu, L., Hossain, M. S., Muhammad, G., & Amin, S. U. (2019) · IEEE Network

IoT and Edge/Fog ComputingCaching and Content Delivery

Cited by 130

COVID-19 and Non-COVID-19 Classification using Multi-layers Fusion From Lung Ultrasound Images

Muhammad, G., & Shamim Hossain, M. (2021) · Information Fusion

COVID-19 diagnosis using AIUltrasound in Clinical Applications

Cited by 120

Emotion Recognition for Cognitive Edge Computing Using Deep Learning

Muhammad, G., & Hossain, M. S. (2021) · IEEE Internet of Things Journal

Emotion and Mood RecognitionIoT and Edge/Fog Computing

Cited by 107

Convergence of Artificial Intelligence and Internet of Things in Smart Healthcare: A Case Study of Voice Pathology Detection

Muhammad, G., & Alhussein, M. (2021) · IEEE Access

Voice and Speech DisordersInternet of Things and AI

Cited by 70

Multidirectional Regression (MDR)-Based Features for Automatic Voice Disorder Detection

Muhammad, G., Mesallam, T. A., Malki, K. H., Farahat, M., Mahmood, A., & Alsulaiman, M. (2012) · Journal of Voice

Voice and Speech DisordersSpeech Recognition and Synthesis

Cited by 66

Automatic Voice Pathology Detection With Running Speech by Using Estimation of Auditory Spectrum and Cepstral Coefficients Based on the All-Pole Model

Ali, Z., Elamvazuthi, I., Alsulaiman, M., & Muhammad, G. (2016) · Journal of Voice

Voice and Speech DisordersSpeech and Audio Processing

Cited by 59

Privacy-Preserving Serverless Computing Using Federated Learning for Smart Grids

Singh, P., Masud, M., Hossain, M. S., Kaur, A., Muhammad, G., & Ghoneim, A. (2022) · IEEE Transactions on Industrial Informatics

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 58

A Deep-Learning-Based Edge-Centric COVID-19-Like Pandemic Screening and Diagnosis System within a B5G Framework Using Blockchain

Muhammad, G., & Hossain, M. S. (2021) · IEEE Network

IoT and Edge/Fog ComputingCOVID-19 diagnosis using AI

Cited by 36

Pandemic Management for Diseases Similar to COVID-19 Using Deep Learning and 5G Communications

Muhammad, G., Alqahtani, S., & Alelaiwi, A. (2021) · IEEE Network

COVID-19 diagnosis using AIInternet of Things and AI

Cited by 29