A Fast Recognition Method for Dynamic Blasting Fragmentation Based on YOLOv8 and Binocular Vision by Ming Tao, Ziheng Xiao, Yulong Liu, Lei Huang, Gongliang Xiang, Yuanquan Xu

“…As the primary method used in open-pit mining, blasting has a direct impact on the efficiency and cost of subsequent operations. …”
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A method for determining fracturing radius of blasting holes based on SF6 gas tracing by Dongxu JIA

“…In-situ blasting cracking tests were carried out at the 10102 top extraction roadway excavation face of Yuwang Coal Mine. The spatial concentration gradient analysis method was adopted to establish a quantitative evaluation model of SF6 diffusion field and cracking radius. …”
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Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework by Manal Abdullah Alohali, Hatim Dafaalla, Mohammed Baihan, Sultan Alahmari, Achraf Ben Miled, Othman Alrusaini, Ali Alqazzaz, Hanadi Alkhudhayr

“…This study proposes a Self-Attention Mechanism-Driven Federated Learning for Secure Cyberattack Detection with Crocodile Optimization Algorithm (SAMFL-SCDCOA) methodology. …”
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Automatic method of colposcopic multi-spectral images analysis for television systems diagnostics of cervical cancer by N. A. Obukhova, A. A. Motyko

“…The method allows to detect the status of tissues of cervix: normal, chronic nonspecific inflammation (CNI) and cervical intraepithelial neoplasia (CIN), and build differential map pathology. …”
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Spot Image Segmentation of Lifting Container Vibration Based on Improved Threshold Method and Mathematical Morphology by Tian-Bing Ma, Qiang Wu, Fei Du, Wei-Kang Hu, Yong-Jing Ding

“…Because the mine is damp and dark, it is not easy to detect the rigid tank channel’s structural failure directly. …”
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Comprehensive Monitoring Method for Diaphragm Wall Deformation Combining Distributed and Point Monitoring in Key Areas by Chun Lan, Hui Zhang, Guangqing Hu, Feng Han, Heming Han

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Geoarqueología del oro en la zona minera de Pino del Oro (Zamora) by F. Javier Sánchez-Palencia, Damián Romero, Alejandro Beltrán

“…A number of geo-archaeological prospectings using panning methods have served to clarify the system of detection of such deposits. …”
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Analyzing X mentions to uncover micro-clusters interfering in political campaigns: a case study during the Spanish elections by Francisco José García-Ull, Bruno Broseta-Dupré, José María Lamirán-Palomares

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Intelligent Excavation Technologies for Satellite Spectrum Signals by Qiulin LYU, Xiaojin DING, Gengxin ZHANG

“…With the construction of spatial information network, the available spectrum resources are increasingly scarce, and the electromagnetic environment is becoming more and more complex, resulting a more prominent challenge of realizing the safe control of the global electromagnetic.Therefore, the sensing method of electromagnetic spectrum occupation state was studied, a time convolution neural network to sense the spectrum occupation state was constructed.To mine abnormal spectrum data, neural network was used to automatically detect abnormal spectrum, such as fl uctuation noise fl oor, spectrum grass and large bandwidth.The spectrum parameter extraction method was explored.Considering the large propagation delay between the spectrum-sensing satellite and its gateway, a neural network was constructed to predicted the spectrum occupation state.The perception, anomaly, parameters and prediction results of satellite spectrum signal were visualized.The preliminary evaluation results showed that the designed satellite-spectrum intelligent mining technologies could not only improved the sensing ability of spectrum situation, but also eff ectively improved the utilization of spectrum resources.…”
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Research on intelligent identification of microscopic substances in shale scanning electron microscope images based on deep learning theory by Ruigang Zhang, Xiangru Chen, Xin Tang, Qiuqi Chen, Sen Guo, Cheng Liu, Zhengchao Guo, Yuerong Zhou, Xiaoyi Zhou

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Development of a novel deep learning method that transforms tabular input variables into images for the prediction of SLD by Gabriel Cubillos, Javier Perez-Valenzuela, Herman Aguirre, Luz Martínez, Lorena Castro, Gabriel Mezzano, Claudio A. Perez

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Coal burst spatio-temporal prediction method based on bidirectional long short-term memory network by Xu Yang, Yapeng Liu, Anye Cao, Yaoqi Liu, Changbin Wang, Weiwei Zhao, Qiang Niu

“…To validate the effectiveness of the proposed method, engineering application tests are conducted at a high-risk working face in the Ordos mining area of Inner Mongolia, focusing on 13 high-energy microseismic events with energy levels greater than 105 J. …”
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Social Media Based Topic Modeling for Smart Campus: A Deep Topical Correlation Analysis Method by Jun Peng, Yiyi Zhou, Xiaoshuai Sun, Jinsong Su, Rongrong Ji

“…Smart campus builds on characteristic learning and feedback evaluation of diverse students and aims to enable intelligent, accurate, and customized education. Mining social media data, especially topic modeling, from students, provides a non-intrusive method to know the instantaneous thoughts and willings of them. …”
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Small Defects Detection of Galvanized Strip Steel via Schatten-<i>p</i> Norm-Based Low-Rank Tensor Decomposition by Shiyang Zhou, Xuguo Yan, Huaiguang Liu, Caiyun Gong

“…Accurate and efficient white-spot defects detection for the surface of galvanized strip steel is one of the most important guarantees for the quality of steel production. …”
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Research on Architecture of LEO Satellite Internet of Things and Key Technologies by Xiaojin DING, Tao HONG, Rui LIU, Wentao PENG, Gengxin ZHANG

“…First, we analyzed the composition and demand characteristics of LEO satellite IoTs, and designed an architecture of LEO satellite IoTs.Second, to extracted characteristics of electromagnetic environment and channel, we studied electromagnetic environment and channel sensing methods through constructing neural network model.Then, we investigated an active terminal-identifi cation method for detecting active terminals.Finally, considered multiple-input multiple-output as the main approach to improved the capacity of terrestrial mobile communication systems, we explored a pair of algorithms of mining satellite spatial resources for realizing the collision mitigation and capacity improvement of LEO IoT terminals.Simulation results showed that the designed method sofmining spatial-domain resources could mitigated eff ectively signal collisions among IoT terminals, and improved signifi cantly the concurrent accessing number of LEO satellite IoT terminals.…”
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Research on Architecture of LEO Satellite Internet of Things and Key Technologies by Xiaojin DING, Tao HONG, Rui LIU, Wentao PENG, Gengxin ZHANG

“…First, we analyzed the composition and demand characteristics of LEO satellite IoTs, and designed an architecture of LEO satellite IoTs.Second, to extracted characteristics of electromagnetic environment and channel, we studied electromagnetic environment and channel sensing methods through constructing neural network model.Then, we investigated an active terminal-identifi cation method for detecting active terminals.Finally, considered multiple-input multiple-output as the main approach to improved the capacity of terrestrial mobile communication systems, we explored a pair of algorithms of mining satellite spatial resources for realizing the collision mitigation and capacity improvement of LEO IoT terminals.Simulation results showed that the designed method sofmining spatial-domain resources could mitigated eff ectively signal collisions among IoT terminals, and improved signifi cantly the concurrent accessing number of LEO satellite IoT terminals.…”
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GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression by Wenting Zhang, Tao Lai, Yuanhui Mo, Haifeng Huang, Qingsong Wang, Zhihua Zhou

“…The method first constructs a multithreshold detection framework in the amplitude-phase dual-domain and combines the wavelet-Monte Carlo confidence screening strategy to achieve precise identification of engineering interference. …”
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Recurrent academic path recommendation model for engineering students using MBTI indicators and optimization enabled recurrent neural network by Anupama V, Sudheep Elayidom M

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Guided wave signal‐based sensing and classification for small geological structure by Hongyu Sun, Jiao Song, Shanshan Zhou, Qiang Liu, Xiang Lu, Mingming Qi

“…A non‐negative tensor sparse factorisation (NTSF) algorithm based on tensor analysis is proposed for sensing and classification of Small Geological Structure in coal mines. Utilising this method, advanced detection of geological anomalies hidden in coal seams was achieved. …”
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Automatic detection of indoor air pollution-related activities using metal-oxide gas sensors and the temporal intrinsic dimensionality estimation of data by Luiz Miranda, Caroline Duc, Nathalie Redon, João Pinheiro, Bernadette Dorizzi, Jugurta Montalvão, Marie Verriele, Jérôme Boudy

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