Application of Treatment for Deep Hole Drilling Debris in Gas-Rich Soft Coal Seams by Yihui Niu, Zuoming Xu, Wenhe Wang, Xiaofei Jing, Hongfu Mi, Zhen Zhong

“…This study was undertaken to provide a specific reference for debris disposal work of deep drill holes for gas-rich soft coal seams.…”
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Automated Fillet Weld Inspection Based on Deep Learning from 2D Images by Ignacio Diaz-Cano, Arturo Morgado-Estevez, José María Rodríguez Corral, Pablo Medina-Coello, Blas Salvador-Dominguez, Miguel Alvarez-Alcon

“…The object detection method follows a geometric deep learning model based on convolutional neural networks. …”
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Deep characteristic learning model for real-time flow monitoring based on H-ADCP by Yu Li, Xin Zhao, Yibo Wang, Ling Zeng

Subjects: “…Deep characteristic learning…”
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A Review on Deep Learning for Quality of Life Assessment Through the Use of Wearable Data by Vasileios Skaramagkas, Ioannis Kyprakis, Georgia S. Karanasiou, Dimitris I. Fotiadis, Manolis Tsiknakis

Subjects: “…Deep learning…”
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2018 Vegetable Production Handbook Chapter 12: Onion, Leek, and Chive Production in Florida by Peter J. Dittmar, Eugene J. McAvoy, Monica Ozores-Hampton, Richard N. Raid, Pamela Roberts, Hugh A. Smith, Xavier Martini, Johan Desaeger, Joseph W. Noling, Shouan Zhang, Lincoln Zotarelli

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A systematic mapping study of source code representation for deep learning in software engineering by Hazem Peter Samoaa, Firas Bayram, Pasquale Salza, Philipp Leitner

“…Abstract The usage of deep learning (DL) approaches for software engineering has attracted much attention, particularly in source code modelling and analysis. …”
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Multistage deep learning methods for automating radiographic sharp score prediction in rheumatoid arthritis by Hajar Moradmand, Lei Ren

“…This study proposes a multistage deep learning model to predict the Overall Sharp Score (OSS) from hand X-ray images. …”
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A Hybrid Deep Learning Method for the Estimation of the State of Health of Lithium-Ion Batteries by Shuo Cheng

“…Compared to other complex deep learning (DL) methods, the VIT-GRU significantly outperforms them, according to the RMSE and MAE of the predicted values.…”
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Bending Properties of Short-Cut Basalt Fiber Shotcrete in Deep Soft Rock Roadway by Shaoyang Yan, Huazhe Jiao, Xiaolin Yang, Jinxing Wang, Fengbin Chen

“…As a new type of fiber, BF has great significance in deep soft rock underground engineering.…”
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Are Trace Elements Provided for Children on Long-Term Parenteral Nutrition Adequate to Meet Their Needs? by Hanna Romanowska, Mikołaj Danko, Anna Borkowska, Katarzyna Popińska, Marta Sibilska, Joanna Żydak, Joanna Wielopolska, Klaudia Bartoszewicz, Agnieszka Szlagatys-Sidorkiewicz, Janusz Książyk

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Deep empirical neural network for optical phase retrieval over a scattering medium by Huaisheng Tu, Haotian Liu, Tuqiang Pan, Wuping Xie, Zihao Ma, Fan Zhang, Pengbai Xu, Leiming Wu, Ou Xu, Yi Xu, Yuwen Qin

“…Herein, we propose a concept of deep empirical neural network (DENN) that is a hybridization of a deep neural network and an empirical model, which enables seeing through an opaque scattering medium in an untrained manner. …”
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Simple Meets Single: The Application of CRISPR/Cas9 in Haploid Embryonic Stem Cells by Zixi Yin, Lingyi Chen

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Uncovering Molecular Mechanisms of Feed Efficiency in Pigs Through Multi-Omics Analysis of the Jejunum by Saixian Zhang, Yue Xiang, Yaobang Jian, Qiulin Zhao, Jiahui Sun, Yi Huang, Jing Xu, Xiaolong Qi, Jingjin Li, Zhuqing Zheng, Liangliang Fu, Yuwen Liu, Xinyun Li

Subjects: “…feed efficiency…”
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Deep Learning Methods for Arabic Autoencoder Speech Recognition System for Electro-Larynx Device by Zinah J. Mohammed Ameen, Abdulkareem Abdulrahman Kadhim

“…Speech disabilities have been one of the expanding problems in the last decades, even in kids. …”
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Study on the Factors Affecting the Quality of Trench Cutting Remixing Deep Wall in Qingdao Area by Peng Jiang, Dazhuang Gui, Lina Wang, Hongchao Wang, Shijie Zheng

“…As a new type of waterproof curtain, several station construction of Qingdao Metro Line 1 successfully used the trench cutting remixing deep wall (TRD). It is difficult to find the factors that affect the wall quality because the method is in situ underground excavating and mixing. …”
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A Survey of Adaptive and Real-Time Protocols Based on IEEE 802.15.4 by Feng Xia, Ruonan Hao, Yang Cao, Lei Xue

“…The IEEE 802.15.4 standard is a protocol that has been widely used in many applications exploiting wireless sensor networks (WSNs). …”
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Seismic Responses and Damage Mechanisms of Deep-Buried Underground Powerhouse in Layered Rock Mass by Meng Zhao, Ming Xiao, Juntao Chen, Hancheng Jin

“…Layered rock mass generally has adverse effects on the seismic stability of deep-buried underground powerhouses. Aiming at the complexity of seismic wave field in deep-buried underground powerhouses, the obliquely input methods of P and SV waves considering the incident direction and multi-incident surfaces are constructed in this study, respectively. …”
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Induction of Biomolecules in Mature Leaves of Terminalia arjuna Due to Feeding of Antheraea mylitta Drury by G. Abraham, G. Thomas, C.R. Babu

“…In this study, we investigated the induction of biomolecules in mature leaves of these plants subjected to insect feeding. Increase in total tannin content, lipid peroxidation, and trypsin inhibitor activity have been observed in mature leaves damaged by the insects. …”
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Prediction and Evaluation of Coal Mine Coal Bump Based on Improved Deep Neural Network by Shuang Gong, Yi Tan, Wen Wang

“…Coal bump prediction is one of the key problems in deep coal mining engineering. To predict coal bump disaster accurately and reliably, we propose a depth neural network (DNN) prediction model based on the dropout method and improved Adam algorithm. …”
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Exploration of Digital Twin Design Mechanism of the Deep in Situ Rock Insulation Coring Device by Bo Yu, Heping Xie, Ling Chen, Wu Zhao, Zhiqiang He

“…With the development of the resource exploration and environmental science drilling, strict and scientific requirements are put forward for the samples taken from drilling. It is significant to keep the original appearance of the core and obtain the in situ core for the analysis of deep geological fluid and the exploration of the law of geological disasters caused by large-scale geological exploitation. …”
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