By conducting a comparable simulation experiment, this work monitors the stress and strain data of the key stratum post‐coal extraction, investigates the positioning of the separated layer following roof caving, and conducts a comprehensive analysis of the water inrush patterns and mechanisms induced by the separated layer damage under high‐intensity ...
Min Cao+5 more
wiley +1 more source
Predicting Flight Trajectory in Convective Weather through Boosted Spatiotemporal Deep Learning Ensemble [PDF]
Xi Zhu, Ke Zhang, Zhuxi Zhang, Lifei Tan
openalex +1 more source
Multi-target detection and tracking based on CRF network and spatio-temporal attention for sports videos. [PDF]
Chen X+4 more
europepmc +1 more source
Health State Assessment Method for Complex Systems Based on Correlation Decoupled Belief Rule Base
In engineering practice, complex systems are subject to noise, and correlations can exist between attributes. This correlation can have a through effect on the validity of equipment health state evaluation. This paper proposes a belief rule base model that considers the correlation of attributes, which effectively enhances the accuracy and robustness ...
Sulong Li+3 more
wiley +1 more source
Multi-anchor adaptive fusion and bi-focus attention for enhanced gait-based emotion recognition. [PDF]
Li J, Dai X, Yan R, Tang C, Li Y.
europepmc +1 more source
ABSTRACT Robotic vision is essential for enabling intelligent and autonomous systems across diverse applications, including manufacturing, healthcare, autonomous navigation, and surveillance. However, conventional vision systems, which rely on rigid imaging hardware, face challenges such as limited adaptability, high energy consumption, and processing ...
Jinhong Park+4 more
wiley +1 more source
A Deep Reinforcement Learning Approach to Solving the Digital Billboard Optimal Placement Problem Based on Multi-Source Spatiotemporal Data Fusion [PDF]
Junyuan Zhou+5 more
openalex +1 more source
A Deep Reinforcement Learning and Graph Convolution Approach to On-Street Parking Search Navigation. [PDF]
Zhao X, Yan Y.
europepmc +1 more source
Engineered Living Energy Materials
Engineered living energy materials (ELEMs) are nascent research frontier for enabling sustainable energy conversion and storage. These materials exhibit unique characteristics such as self‐regeneration, biodegradability, environmental response, and evolutionary adaptability. This paper overviews different energy conversion bio‐modules, summarizes their
Xinyi Yuan+14 more
wiley +1 more source
Multi-dimensional perceptual recognition of tourist destination using deep learning model and geographic information system. [PDF]
Zhang S+5 more
europepmc +1 more source