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Structural cracks don’t stand a chance against this dual-module AI

The YOLOv8 and Swin Transformer dual-module system significantly improves structural crack detection, offering a faster and more accurate inspection method.
Frontiers

A prediction method for older adult care service demand combining improved RF algorithm and logistic regression

Academy of Art and Design, Yancheng Teachers University, Yancheng, China Introduction: With the acceleration of global aging, the accurate prediction of care service demand for older adults is of ...
IEEE

Gradient Descent-Based Online Mutual Inductances Identification and Transfer Route Optimization for Dynamically Reconfigurable WPT Network

Abstract: Wireless Power Transfer Network (WPTN), with their multidimensional dynamic magnetic coupling capabilities, address the limitations of traditional wireless power transfer (WPT) technologies ...
C&EN

A Machine-Learning-Algorithm Enhanced Multi-Functional Gas Sensor for Self-Humidity Compensation and Partial Discharge Detection

School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China ...
Frontiers

Enhancing detection of common bean diseases using Fast Gradient Sign Method–trained Vision Transformers

1 Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania 2 Life Sciences and Bio-engineering ...
IEEE

PMGDA: A Preference-Based Multiple Gradient Descent Algorithm

Abstract: It is desirable in many multi-objective machine learning applications, such as multi-task learning with conflicting objectives, multi-objective reinforcement learning, to find a Pareto ...