AA
Adi Alhudhaif
George Washington University, University of Strathclyde
Research areas: Computer Science · Artificial Intelligence · ECG Monitoring and Analysis · Advanced Neural Network Applications · Emotion and Mood Recognition
0000-0002-7201-6963
Employment
Employment history is unavailable.
Education
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George Washington University Master's
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University of Strathclyde MAster's of Law
Projects & Funding
Projects & funding information is unavailable.
Publications (130)
- Hyperbolic–topological signal fusion with Ricci-Adaptive geometry for hierarchy-aware pan-cancer histopathology classification Save
- Hierarchical multi-type annotation fusion with uncertainty-aware cross-attention for chest X-ray classification Save
- A graph learning and adaptive fuzzy framework for robust trust management in cloud manufacturing Save
- Distance-based temporal similarity metrics for adaptive channel selection in multi-modal EEG-fNIRS BCI frameworks Save
- Enhancing Unseen Driver State Detection: An EEG-Based Framework with Brain Connectivity and Depthwise Separable Convolutional Neural Networks Save
- HydraNet-PWCT: Physics-Constrained Dual-Polarimetric mmWave for Texture-Agnostic Soil Hydrometry Save
- Selective state space U net for linear complexity globally coherent high resolution image segmentation Save
- Pain Level Classification from Speech Using GRU-Mixer Architecture with Log-Mel Spectrogram Features Save
- Common-Unique Decomposition Driven Diffusion Model for Contrast-Enhanced Liver MR Images Multi-Phase Interconversion Save
- Non-invasive enhanced hypertension detection through ballistocardiograph signals with Mamba model Save
- Breast cancer classification by converging tumour region probability density and texture feature-based clustering Save
- Class-specific weighted broad learning system-based domain adaptation for patient-specific ECG classification Save
- Diagnosis of cervical cancer using CNN deep learning model with transfer learning approaches Save
- Blood Glucose Level Estimation Using Photoplethysmography (PPG) Signals with Explainable Artificial Intelligence Techniques Save
- 12-Lead ECG signal classification for detecting ECG arrhythmia via an information bottleneck-based multi-scale network Save
- A MIL-based framework via contrastive instance learning and multimodal learning for long-term ECG classification Save
- A knowledge-driven graph convolutional network for abnormal electrocardiogram diagnosis Save
- A novel approach to recognition of Alzheimer's and Parkinson's diseases: random subspace ensemble classifier based on deep hybrid features with a super-resolution image Save
- A novel efficient Rank-Revealing QR matrix and Schur decomposition method for big data mining and clustering (RRQR-SDM) Save
- An adaptive highly improving the accuracy of clustering algorithm based on kernel density estimation Save