Mohammad Abu Yousuf
Orcid: 0000-0001-8065-7173
According to our database1,
Mohammad Abu Yousuf authored at least 43 papers
between 2012 and 2026.
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Bibliography
2026
MVIC-Net: Multi-view interactive convolutional networks for ECG-based sleep apnea detection with explainable AI.
Knowl. Based Syst., 2026
Novel deep learning for multi-class classification of Alzheimer's in disability using MRI datasets.
Frontiers Bioinform., 2026
3D MRI reconstruction and brain tumor diagnosis using deep learning with explainable AI.
Expert Syst. Appl., 2026
DREAM: A novel explainable neural network for detecting sleep apnea using single-lead ECG signals.
Biomed. Signal Process. Control., 2026
Explainable CNN-GRU Model With Self-Attention for Human Activity Recognition Using Wearable Sensors Through Data Augmentation.
IEEE Access, 2026
2025
MGAN-CRCM: a novel multiple generative adversarial network and coarse refinement-based cognizant method for image inpainting.
Neural Comput. Appl., March, 2025
Analysis of Different Modality of Data to Diagnose Parkinson's Disease Using Machine Learning and Deep Learning Approaches: A Review.
Expert Syst. J. Knowl. Eng., February, 2025
LungCT-NET: An explainable transfer learning-based robust ensemble model for lung cancer diagnosis.
Knowl. Based Syst., 2025
Multi-teacher knowledge distillation and ensemble algorithm for efficient brain tumor classification in resource-constrained environments with explainable AI.
Knowl. Based Syst., 2025
Early diagnosis of autism across developmental stages through scalable and interpretable ensemble model.
Frontiers Artif. Intell., 2025
Explainable AI-driven scalogram analysis and optimized transfer learning for sleep apnea detection with single-lead electrocardiograms.
Comput. Biol. Medicine, 2025
Corrections to "Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study".
IEEE Access, 2025
DDNet: A Robust, and Reliable Hybrid Machine Learning Model for Effective Detection of Depression Among University Students.
IEEE Access, 2025
2024
ASDNet: A robust involution-based architecture for diagnosis of autism spectrum disorder utilising eye-tracking technology.
IET Comput. Vis., August, 2024
Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor.
Expert Syst. Appl., March, 2024
Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study.
IEEE Access, 2024
Artificial Neural Network-Assisted Confinement Loss Prediction of D-Shaped PCF-SPR Biosensor.
Proceedings of the IEEE International Humanitarian Technologies Conference, 2024
Advancing Sleep Apnea Detection with CINet: Convolution and Interactive Learning Neural Network for Analyzed ECG Signal Data.
Proceedings of the IEEE International Humanitarian Technologies Conference, 2024
Bias in Deep Learning Skin Cancer Detection: Parallel Residual Convolution Network Classification and Racial Bias Quantification: Skin Cancer Racial Bias.
Proceedings of the 3rd International Conference on Computing Advancements, 2024
Proceedings of the 3rd International Conference on Computing Advancements, 2024
SeizureFed: Federated Learning for Pediatric Seizure Detection through EEG Using E-ResNet.
Proceedings of the 3rd International Conference on Computing Advancements, 2024
Sleep Apnea Detection through HRV and SPO2 Analysis of Single-Lead ECG Signals Using Machine Learning Algorithms.
Proceedings of the 3rd International Conference on Computing Advancements, 2024
Enhancing Parkinson's Disease Classification Using LSTM Networks and Attention Mechanisms.
Proceedings of the 3rd International Conference on Computing Advancements, 2024
Leveraging Transformer Models for Accurate Detection of Obstructive Sleep Apnea from Single-Lead ECG Signals.
Proceedings of the 3rd International Conference on Computing Advancements, 2024
2023
GRU-INC: An inception-attention based approach using GRU for human activity recognition.
Expert Syst. Appl., April, 2023
J. Inf. Secur. Appl., 2023
Trackez: An IoT-Based 3D-Object Tracking From 2D Pixel Matrix Using Mez and FSL Algorithm.
IEEE Access, 2023
Taking All the Factors We Need: A Multimodal Depression Classification With Uncertainty Approximation.
IEEE Access, 2023
2022
A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models.
Comput. Biol. Medicine, 2022
Proceedings of the Machine Intelligence and Emerging Technologies, 2022
2021
LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data.
Comput. Biol. Medicine, 2021
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images.
Comput. Biol. Medicine, 2021
A Human-Robot Interaction System Calculating Visual Focus of Human's Attention Level.
IEEE Access, 2021
2020
Proceedings of the 11th International Conference on Computing, 2020
2019
Proceedings of International Joint Conference on Computational Intelligence, 2019
Proceedings of International Joint Conference on Computational Intelligence, 2019
2018
Int. Arab J. Inf. Technol., 2018
CoRR, 2018
2013
How to move towards visitors: A model for museum guide robots to initiate conversation.
Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, 2013
2012
Development of a Mobile Museum Guide Robot That Can Configure Spatial Formation with Visitors.
Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012
Proceedings of the International Conference on Human-Robot Interaction, 2012