Quantitative Evaluation of Top Coal Caving Methods at the Working Face of Extra-Thick Coal Seams Based on the Random Medium Theory by Shi Jiulin, Zhang Quntao, Gao Xiaojin, Xue Jisheng

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Rag‐bull rider optimisation with deep recurrent neural network for epileptic seizure detection using electroencephalogram by Prabin Jose Johnrose, Sundaram Muniasamy, Jaffino Georgepeter

“…Several classical methods devised to identify seizures rely on visual analysis of EEG signals which is a costly and complex task if channel count increases. A novel method, namely, a rag‐Rider optimisation algorithm (rag‐ROA) is devised for training a deep recurrent neural network (Deep RNN) to discover epileptic seizures. …”
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Preparation, characterization, and performance of 4A zeolite based on opal waste rock for removal of ammonium ion by Zongshan Wu, Jingjing Xie, Haibo Liu, Tianhu Chen, Peng Cheng, Can Wang, Dianchao Kong

“…The experimental results provided a novel approach for the utilization of opal waste rock, which is produced during the mining of opal-rich palygorskite, and for the synthesis of 4A zeolite and the removal of ammonium ion.…”
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Research on multiple enhanced k combination reverse Skyline query method by Song Li, Xinyuan Zhang, Liping Zhang

“…Initially, we prove that k combination reverse Skyline query (kCRSQ) is NP-hard and propose a novel index structure called QR-GMap for combination queries to significantly accelerate kCRSQ. …”
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Utilizing MRAMs With Low Resistance and Limited Dynamic Range for Efficient MAC Accelerator by Sateesh, Kaustubh Chakarwar, Shubham Sahay

“…In this work, we propose a novel supercell to enable the use of MLC MRAMs for neuromorphic multiply-accumulate (MAC) accelerators. …”
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ICGenomics: A PROGRAM COMPLEX FOR ANALYSIS OF SYMBOL SEQUENCES IN GENOMICS by Y. L. Orlov, A. O. Bragin, I. V. Medvedeva, K. V. Gunbin, P. S. Demenkov, O. V. Vishnevsky, V. G. Levitsky, D. Y. Oshchepkov, N. L. Podkolodnyy, D. A. Afonnikov, I. Grosse, N. A. Kolchanov

“…The pilot program complex for analysis of symbol sequences in genomics, ICGenomics, has been designed for storage, mining, and analysis of sequences related to theoretical and applied genomics. …”
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Measuring coordination between land ecological security and high-quality economic development: a case of the Beijing-Tianjin-Hebei region by Xiaoyong Zhong, Xiaoyong Zhong, Dongyan Guo, Yandong Tang, Yafei Chuai

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Modular nine-level single-phase inverter with quadruple voltage gain using reduced blocking voltage switches by V. Fernão Pires, Armando Cordeiro, Daniel Foito, Joaquim Monteiro, Hao Chen, J. Fernando Silva

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Settlement Prediction of Foundation Pit Excavation Based on the GWO-ELM Model considering Different States of Influence by Qiao Shi-fan, Tan Jun-kun, Zhang Yong-gang, Wan Li-jun, Zhang Ming-fei, Tang Jun, He Qing

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An Effective Approach for Modular Community Detection in Bipartite Network Based on Integrating Rider with Harris Hawks Optimization Algorithms by Bader Fahad Alkhamees, Mogeeb A. A. Mosleh, Hussain AlSalman, Muhammad Azeem Akbar

“…In this paper, we propose a novel Rider-Harris Hawks Optimization (RHHO) algorithm for community detection in a bipartite network through node similarity. …”
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Comparative analysis of seasonal wind power using Weibull, Rayleigh and Champernowne distributions by Bienvenu Sumaili Ndeba, Omaima El Alani, Abdellatif Ghennioui, Mostafa Benzaazoua

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An Improved Robust Principal Component Analysis Model for Anomalies Detection of Subway Passenger Flow by Xuehui Wang, Yong Zhang, Hao Liu, Yang Wang, Lichun Wang, Baocai Yin

“…In this paper, we propose a novel anomalies detection method of subway passenger flow. …”
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Fracture evolution in steel fiber reinforced concrete (SFRC) of tunnel under static and dynamic loading based on DEM-FDM coupling model by Yu Chen, Dongfeng Yu, Yixian Wang, Yanlin Zhao, Hang Lin, Jingjing Meng, Haoliang Wu

“…Abstract The frequent or occasional impact loads pose serious threats to the service safety of conventional concrete structures in tunnel. In this paper, a novel three-dimensional mesoscopic model of steel fiber reinforced concrete (SFRC) is constructed by discrete element method. …”
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Multi-scale fracture characterization method for transitional shale reservoir based on post-stack multi-attribute ant-tracking fusion and pre-stack wide-azimuth gathers AVAZ analys... by Hongjie Peng, Jingtao Zhao, Zhen Qiu, Qin Zhang, Wen Liu, Weiliang Kong, Wanli Gao, Tongjie Sheng, Wenyu Li, Yugang Yang

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Big Data-Based Boring Indexes and Their Application during TBM Tunneling by Shuangjing Wang, Yujie Wang, Xu Li, Lipeng Liu, Hai Xing, Yunpei Zhang

“…Tunnel boring machine (TBM) tunneling data have been extensively collected to utilize TBM information technology by analyzing and mining the data for achieving a safe and efficient TBM tunneling. …”
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Masked Modeling-Based Ultrasound Image Classification via Self-Supervised Learning by Kele Xu, Kang You, Boqing Zhu, Ming Feng, Dawei Feng, Cheng Yang

“…Furthermore, to address the challenges posed by hard samples in ultrasound data, we propose a novel hard sample mining strategy. To evaluate the effectiveness of our proposed method, we conduct experiments on two datasets. …”
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Optimal design for six-phase asymmetrical surface mount permanent magnet synchronous motor: An innovative approach considering fault tolerance and load variations for electric vehi... by Mahmoud Y. Mohamed, Ahmed Refaat, Ahmed Kalas, Ayman S. Abdel-Khalik, Shehab Ahmed, Mahmoud Fawzi

“…To effectively simulate the operational challenges in electric vehicles (EVs), data mining and clustering techniques are utilized to analyze and comprehend real-world drive cycle data. …”
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Molecular Characterization of Legionellosis Drug Target Candidate Enzyme Phosphoglucosamine Mutase from (strain Paris): An Approach by Anayet Hasan, Habibul Hasan Mazumder, Arif Khan, Mohammad Uzzal Hossain, Homaun Kabir Chowdhury

“…The increasing development of drug resistance against legionellosis has led to explore new novel drug targets. It has been found that phosphoglucosamine mutase, phosphomannomutase, and phosphoglyceromutase enzymes can be used as the most probable therapeutic drug targets through extensive data mining. …”
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Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach by Tianxi Dong, Qiwei Yang, Nima Ebadi, Xin Robert Luo, Paul Rad

“…Consequently, advanced text mining algorithms should be applied to help aviation safety experts facilitate the process of incident data extraction. …”
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Biomedical named entity recognition using improved green anaconda-assisted Bi-GRU-based hierarchical ResNet model by Ram Chandra Bhushan, Rakesh Kumar Donthi, Yojitha Chilukuri, Ulligaddala Srinivasarao, Polisetty Swetha

“…Abstract Background Biomedical text mining is a technique that extracts essential information from scientific articles using named entity recognition (NER). …”
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