Results 91 to 100 of about 4,409 (252)

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Mechanism of instability induced scour of thick hard rock-coal pillar structure in deep fully mechanized working face with large mining height

Yantu gongcheng xuebao
The instability-induced rockburst of thick hard rock stratum-coal pillar structure is a typical rockburst mode in Ordos deep mining area, and its mechanism is still unclear.
ZHANG Xiang 1, ZHU Sitao 1, 2, JIANG Fuxing 1, LIU Jinhai 1, ZHU Quanjie 3, SHI Xianfeng 3, HAN Gang 4, WEI Xiaohu 5, CAO Jinglong 4, QU Xiaocheng 6
doaj   +1 more source

Surface damage reduction effect of super long working face with large mining height in Shangwan Coal Mine

Abstract Green mining is the basic background of high-quality mining, and source reduction is the most important part, among which the optimization of working face height and length is the most active. How to control the working face parameters, reasonably evaluate the surface subsidence characteristics of the super-long working face, and ...
liu xinjie, yang yingming, zhao yongqiang, liu gang, xu zhuhe   +4 more
openaire   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Hydraulic support instability mechanism and its control in a fully-mechanized steep coal seam working face with large mining height

Journal of the Southern African Institute of Mining and Metallurgy, 2015
Hydraulic support instability (HSI) is one of the most common causes of disasters in underground coal mining, posing a threat to the safety of mine workers and normal operation of the equipment. It is prone to occur in fully-mechanized mining faces with a large mining height (FMMLMH), especially when the dip angle of the coal seam is large.
Yuan, Y., Tu, S.H., Wang, F.T., Zhang, X.G., Li, B.   +4 more
openaire   +2 more sources

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Pressure law and roof control of near shallow buried super large mining height working face

Meitan kexue jishu
Aiming at the roof control problem of super-large mining height in near-shallow buried thick unconsolidated layers represented by Yushen Mining Area, the theoretical analysis, numerical simulation and field measurement are used to analyze the pressure ...
Xiaogang LIU, Zhen ZHANG, Qianjin LIU, Jianchao REN, Maofu LIU, Xingyu LIN, Rongshan MA   +6 more
doaj   +1 more source

In Situ Contact Angle Measurement for Autonomous Spin Coating in Self‐Driving Labs

Advanced Intelligent Discovery, EarlyView.
A vision‐based add‐on transforms commercial spin coaters into autonomous modules of Self‐Driving Labs. Combining a width‐scaled U‐Net with classical geometric analysis, the system simultaneously measures contact angles and estimates substrate pose using a single camera.
Sven Fischer, Micha Hiegle, Holger Röhm
wiley   +1 more source

Research on spontaneous combustion 'three zones' in goaf of fully mechanized working face with large mining height

Gong-kuang zidonghua, 2019
In view of goaf spontaneous combustion prevention of 12401 fully mechanized working face with large mining height in Shangwan Coal Mine, CO is determined as prediction index gas of coal spontaneous combustion and C2H4 is used as auxiliary index gas to master coal spontaneous combustion through temperature programmed oxidation experiment. Gas in goaf is
QU Shijia, AN Shigang, WU Fusheng, LI Peng   +3 more
openaire   +1 more source