Majmaah University

CBT-ICU transformer: a clinician-behaviour-aware multimodal deep learning framework for early detection of critical care adverse events in MIMIC-IV

Early identification of clinical deterioration in intensive care units (ICUs) remains a major challenge despite the availability of large-scale electronic health records. Most existing models focus primarily on physiological measurements such as vital signs and laboratory results...

Innovative development of an advanced machine learning modeling for predicting compressive strength of graphene-infused concrete: a SHAP and PDP approach

The quasi-brittle response of cementitious materials continues to limit their structural efficiency, necessitating advanced reinforcement strategies. While conventional fibers improve mechanical performance, the emergence of graphene-based nanomaterials offers new opportunities t...

ELLS–NSBA three-stage framework for optimal DG/SC placement and EV integration in distribution networks

The growing penetration of distributed generation (DG), shunt capacitors (SC), and electric vehicles (EVs) in distribution networks demands optimal siting strategies that balance operational efficiency and structural resilience. Existing metaheuristic approaches treat every bus a...

Advancing Parkinson’s detection from MRI: a deep learning comparison of classical and quantum architectures

Abstract Purpose The precise diagnosis of Parkinson’s Disease (PD) continues to pose a considerable barrier in clinical neurology. This work investigates the capability of sophisticated deep learning architectures to improve Parkinson’s disease identification via Magnetic Resonan...

Computational investigation of thermal energy transfer enhancement in nanofluid in the presence of viscous dissipation, Joule heating and yield stress: a local similarity approach

Abstract Thermal transport by fluids has numerous applications, including thermal radiators, thermal and cooling systems, MHD generators, etc. In this study, the thermal transport performance of the Casson fluid is investigated in response to the inclusion of three combinations o...

Multi-Horizon Predictive Maintenance for IoT-Enabled Electric Vehicle Fleets Using a Quantum-Temporal Residual Attention Framework

Predictive maintenance of electric vehicle (EV) fleets requires accurate estimation of Remaining Useful Life (RUL), Time-to-Failure (TTF), and State-of-Health (SOH) from heterogeneous Internet of Things (IoT) telemetry. However, real-world degradation patterns are nonlinear, nons...

Development of optimization-based algorithms for radiation source localization in nuclear emergencies

Accurate radiation source localization is a fundamental requirement for nuclear emergency response, environmental radiation monitoring, radioactive waste management, and homeland security. However, reliable localization remains challenging because of measurement uncertainty, back...