Results 71 to 80 of about 140,971 (281)

Numerical methods of geomechanics tasks solution during coal deposits’ development [PDF]

, 2016
Purpose. Generalization of numerical modeling of geomechanical processes in the vicinity of mine workings by finite elements method and making recommendations for substantiation of suitable construction and behavior of rock massif physical model ...
Bondarenko, V, Hardygora, M, Snihur, V, Sotskov, V, Symanovych, H   +4 more
core   +2 more sources

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Study on gas extraction from parabolic high level drilling during the initial mining period of fully mechanized caving face

Gong-kuang zidonghua, 2021
The gas extraction effect during the initial pressure on the working face by using conventional high-level directional long drilling is poor. In order to solve the above problem, taking the project background of 12309 fully mechanized caving face of ...
LIU Qingbao1, CHEN Long2, GONG Xuanping2, YU Rui3, CHENG Xiaoyu2, DING Jianxun2   +5 more
doaj   +1 more source

A concept to use energy of air flows of technogenic area of mining enterprises [PDF]

, 2018
Topical issues concerning the possibilities of effective energy generation on the basis of Ukrainian mining enterprises have been highlighted. Attention is drawn to one of the most challenging tendencies of nontraditional energy sources
Cabana, Edgar, Dychkovskyi, Roman, Falshtynskyi, Volodymyr, Lozynskyi, Vasyl, Saik, Pavlo, Дичковський, Р. О., Дичковський, Роман Омелянович, Дычковский, Р. Е., Дычковский, Роман Емельянович, Лозинский, В. Г., Лозинский, Василий Григорьевич, Лозинський, В. Г., Лозинський, Василь Григорович, Саик, П. Б., Саик, Павел Богданович, Саїк, П. Б., Саїк, Павло Богданович, Фальштинский, В. С., Фальштинский, Владимир Сергеевич, Фальштинський, В. С., Фальштинський, Володимир Сергійович   +20 more
core   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Application features of the surface laser scanning technology when solving the main tasks of surveying support for reclamation [PDF]

, 2019
Purpose. Study of the effectiveness of topographical survey methods when solving the main tasks of surveying support for the disturbed lands reclamation. Methods. Comparative analysis of the topographical survey results, which was conducted with the use
Bakhmagambetova, G, Huayang, D, Idrissov, K, Kalybekov, T, Rysbekov, K, Sandybekov, M, Zhakypbek, Y   +6 more
core   +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

Characteristic of the water-conducting fracture zone development in thick overburden working face with extra-large mining height in western mining area

矿业科学学报, 2022
In order to obtain the fracture development characteristics of the working face with extra-large mining height under the condition of thick overburden and medium mining depth in mining areas in China's western regions, this paper adopted a comparative study by combining empirical equations, numerical simulation and field measurement in the panel 12401 ...
Zhang Cun, Ren Zhaopeng, Han Penghua, He Xiang, Chen Jianhang, Guo Liang   +5 more
openaire   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source