Results 201 to 210 of about 185,697 (306)

Large scale ungerground mining : a prerequisite for automation

, 1985
Granholm, Sven,
core  

Combating Antibacterial Resistance: The Integrative Role of Artificial Intelligence in Bio-Based Product Development. [PDF]

Antibiotics (Basel)
Gudepu R, Sirikonda S, Banoth R, Annagowni PK, Dahariya S, Velidandi A.   +5 more
europepmc   +1 more source

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

Advanced Intelligent Discovery, EarlyView.
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando, Naoto Watanabe, Chihiro Sekine, Shogen Sekiguchi, Ohmi Fuchiwaki   +4 more
wiley   +1 more source

Study on Regional Evolution Characteristics of Coal Spontaneous Combustion and Gas Coupling Disaster in Composite Goaf with No-Pillar Mining. [PDF]

ACS Omega
Kong D, Han W, Guo J, Xue K, Zhang J, Zheng Y.   +5 more
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Spatiotemporal prediction of mining-induced surface subsidence using integrated D-InSAR and boltzmann time function models. [PDF]

PLoS One
Zhou W, Zou Y, Chai H, Ma M, Cai L, Hu J.   +5 more
europepmc   +1 more source

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

Lightweight target detection and multi target tracking for UAV inspection in open pit mines. [PDF]

Sci Rep
Liu G, Zhang L, Lei J, Chai S, Zhu W.
europepmc   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Failure mechanisms and stability control of roadways in thermally damaged rock under asymmetric stress: a case study. [PDF]

Sci Rep
Wang Z, Lin L, Li J, Liu B, An X, Wang P.   +5 more
europepmc   +1 more source