Results 231 to 240 of about 22,224 (372)
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan +6 more
wiley +1 more source
Causes and effects of fitness landscapes in system test generation: a replication study. [PDF]
Sahin O, Zhang M, Arcuri A.
europepmc +1 more source
SpiceFuzz: LLM-Based Fuzzing for Spice Circuit Simulator Tools Bug Detection
Zhilei Ren +5 more
openalex +1 more source
WuppieFuzz: Coverage-Guided, Stateful REST API Fuzzing [PDF]
Thomas Rooijakkers +5 more
openalex +1 more source
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li +7 more
wiley +1 more source
Evaluating the Impact of Environmental Exposure on the Performance of Polyester Sportswear Materials. [PDF]
Salopek Čubrić I +2 more
europepmc +1 more source
Inspired by spiders, the multilegged walk‐through assembling robot for arc parts achieves high‐precision synchronous control under heavy loads through dual‐layer hydraulic pose dynamics modeling and hierarchical pressure optimization, significantly enhancing shield tunneling assembly efficiency and precision.
Quan Xiao +5 more
wiley +1 more source
REST API Fuzzing Using API Dependencies and Large Language Models [PDF]
Chien-Hung Liu, Shu-Ling Chen, K. C. Li
openalex +1 more source
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu +4 more
wiley +1 more source
A comprehensive guide to CAN IDS data and introduction of the ROAD dataset. [PDF]
Verma ME +7 more
europepmc +1 more source

