Effect of Global Postural Re-Education in Individuals With Text Neck Syndrome: A Randomized Controlled Trial. [PDF]
Mohamed HS +4 more
europepmc +1 more source
We present an AI‐assisted ground‐penetrating radar framework to noninvasively detect and quantify smoldering wildfire‐induced subsurface cavities in peatlands. A ResNet model accurately predicts cavity geometry from GPR images, enabling improved assessment of underground fire damage and hazards.
Zifan Zhang +5 more
wiley +1 more source
Developing machine learning regression model optimized using Tabu search harmony search algorithm for prediction of mass transfer in membranes. [PDF]
Abu-Hamdeh NH, Milyani AH, Almitani KH.
europepmc +1 more source
Abstract Automating bridge inspections requires more than detecting individual damage instances. It demands systems capable of describing, contextualizing, and interpreting damage in an inspection‐relevant manner. Conventional computer vision approaches, such as object detection and segmentation, primarily address visual recognition tasks and are ...
Rona Firdes Çelik +2 more
wiley +1 more source
Machine learning framework for predicting ESDD on high-voltage glass insulators with SHAP-based feature optimization. [PDF]
Salem AA +4 more
europepmc +1 more source
Utilization of machine learning models and grey wolf optimization method in estimation of pharmaceutical solubility in supercritical CO<sub>2</sub>. [PDF]
Abu-Hamdeh NH +2 more
europepmc +1 more source
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam +9 more
wiley +1 more source
RF-KNN-Assisted Local Gaussian Process Regression for Heat Transfer Coefficient Prediction in Hot Strip Coiling Temperature Control. [PDF]
Chen D, Li Z, Kang J, Yuan G.
europepmc +1 more source
ANPGT: Towards Adaptive Node Property Extraction and Integration
ABSTRACT Graph transformers (GTs) with elaborate positional/structural encodings (PEs/SEs) have excelled in graph representation learning, especially in graph‐level tasks. However, their potential in large‐scale node classification remains untapped for several reasons: (i) Current PEs/SEs are insufficient in modelling large‐scale real‐world graphs ...
Qin Chen +4 more
wiley +1 more source
Optimizing Process Parameters in Laser Transmission Welding Solid PC/Porous-PET Using Prediction Models: Experimental Validation and Morphology Analysis. [PDF]
Li J +7 more
europepmc +1 more source

