Results 61 to 70 of about 5,496 (261)

Characteristics of dust pollution and its influencing factors during cold period of open-pit coal mines in northern China

Frontiers in Earth Science
IntroductionWinter dust pollution in China’s northern open-pit coal mines is serious, and the prevention and control of winter dust pollution is one of the important problems in the construction of green mines in northern open-pit coal mines.MethodsIn ...
Heng Wang, Zhiming Wang, Zhiming Wang, Ruixin Wang, Ruixin Wang   +4 more
doaj   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +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

Small Target Detection Model for Open-Pit Coal Mines Based on UAV Perspective

IEEE Access
To address issues such as missed detection of small targets, low computational efficiency, and difficulties in deploying on edge devices encountered in the detection of uncrewed mining trucks under the complex environment of open-pit coal mines, this ...
Kuan Lv, Haili Yu, Xiangchun Meng, Wenshuai Yang, Haobo Zhang   +4 more
doaj   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

The mining rate in open pit mine planning [PDF]

, 2015
In the mining business, mine planning is the activity that determines the exploitation of a mineral resource with the aim of maximising its intrinsic value. The number of variables that are required to carry out this activity and the complexity of dealing with a finite, non-renewable resource make it difficult to find an optimum solution.
openaire   +3 more sources

Combined Gravimetric, Electrochemical, and Computational Research on Benzothiophene Derivatives as Effective Corrosion Inhibitors for Mild Steel

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Four benzothiophenes, thianaphthene (BT‐1), 3‐bromothianaphthene (BT‐2), benzo[b]thiophene‐2‐carboxaldehyde (BT‐3), and benzo[b]thiophene‐2‐carbonitrile (BT‐4), were tested as mild steel corrosion inhibitors in 1‐M HCl. The compounds have the similar benzothiophene core but differ in the substituents bound to the ring.
Nhlanhla G. Chirwa, Motsie Elija Mashuga, Mohammad Salman, Indra Bahadur   +3 more
wiley   +1 more source

Research on Diaphragm Pump Fault Diagnosis Method Based on Res‐DCB‐Net

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Nonstationary pressure pulsation signals of diaphragm pumps contain strong background noise and coupled characteristics. This makes it challenging to extract incipient fault features and to decouple faults with similar physical mechanisms. To address these limitations, this paper proposes a spatiotemporal fault diagnosis model named Res‐DCB ...
Jiahui Wang, Kaili Zhang, Yongxing Song, Zhaoxin Ma, Sitong Guan, Rongwang Chai, Kexiang Ceng, Jingting Liu   +7 more
wiley   +1 more source