Results 161 to 170 of about 322,587 (311)

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
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, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

In search of Schrödinger's patch: a functional approach to habitat delineation. [PDF]

Landsc Ecol
Dennis M, Huck J, Holt C, McHenry E, Andersson E, Sharma S, Haase D.   +6 more
europepmc   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
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, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Improved many-objective particle swarm optimization based welding sequence optimization research. [PDF]

PLoS One
Dong L, Gu S, Dong J, Ji Q, Liu J.
europepmc   +1 more source

Multi‐Dimensional Conductive Nanocomposites for Flexible Electronics

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Multi‐dimensional conductive nanocomposites integrate 0D, 1D, and 2D nanomaterials through spatial structure regulation and interface engineering, achieving “1 + 1 > 2” synergistic effects. By leveraging 0D filling to reduce contact resistance, 1D bridging to construct continuous conductive paths, and 2D supporting to enhance mechanical stability ...
Tianyu Wang, Ruimin Cai, Abbas Ali, Lizhe Li, Li Yang, Hulin Zhang, Xuge Fan, Yumin Xia, Wenyong Lai, Linmao Qian, Tiehu Li, Guosheng Shao, Liang Tian   +12 more
wiley   +1 more source

Galaxy Evolution with Manifold Learning. [PDF]

Entropy (Basel)
Takeuchi TT, Cooray S, Kano RR.
europepmc   +1 more source

Seizure forecasting with epilepsy cycles: On the causality of forecasting pipelines

Epilepsia, EarlyView.
Abstract Objective Seizure risk is modulated by multiscale brain rhythms. Previous studies using cycles in electroencephalography, heart rate, and wearable data suggest the possibility of forecasting seizures days in advance. However, they commonly rely on methods requiring (days of) information from time points beyond the moment of forecast (noncausal
Hongliu Yang, Jens Müller, Sotirios Kalousios, Georg Leonhardt, Matthias Dümpelmann, Andreas Schulze‐Bonhage, Ronald Tetzlaff   +6 more
wiley   +1 more source

An Extended Epistemic Framework Beyond Probability for Quantum Information Processing with Applications in Security, Artificial Intelligence, and Financial Computing. [PDF]

Entropy (Basel)
Iovane G.
europepmc   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

Epilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron, Robert Terziev, Maximilian Schöls, John McLaren, Tobias Loddenkemper, Jörg Wellmer, Sigrid Mues, Christian Meisel   +7 more
wiley   +1 more source

Degradation-Aware Multi-Stage Fusion for Underwater Image Enhancement. [PDF]

J Imaging
Xie L, Chen H, Shu J.
europepmc   +1 more source