Spatial prediction of landslide susceptibility using the data-mining algorithm (case study: Kamyaran county) by Osama Ashraf Mohammed, Hemn Kamal Hamaamin, Jwanro Azad, Sabri Rasooli, Houzhi Li

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Conditions for shale gas accumulation and the gas-bearing factors of the Wufeng-Longmaxi formation in the Laifeng–Xianfeng area by Shengling Jiang, Qinghua Zhou, Yanju Li, Rili Yang, Ruirui Zhao, Deqi Ma

“…Abstract In this work, taking wells LD1, LD2, and LY2 in the Laifeng–Xianfeng area as the research target, through core description, intensive core sampling, experimental analysis, imaging logging and other methods, the characteristics of graptolite zone development, organic carbon content, mineral composition, shale reservoir properties and the gas-bearing properties of the Wufeng–Longmaxi Formation shale are systematically analyzed. …”
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A machine-learning-based approach for active monitoring of blade pitch misalignment in wind turbines by S. Milani, J. Leoni, S. Cacciola, A. Croce, M. Tanelli

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Development of a regional probabilistic seismic hazard model for Central Asia by V. Poggi, S. Parolai, S. Parolai, N. Silacheva, A. Ischuk, K. Abdrakhmatov, Z. Kobuliev, V. Ismailov, R. Ibragimov, J. Karaev, P. Ceresa, M. Santulin, P. Bazzurro, P. Bazzurro

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Enhanced fire hazard detection in solar power plants: an integrated UAV, AI, and SCADA-based approach by Andrii Lysyi, Anatoliy Sachenko, Pavlo Radiuk, Mykola Lysyi, Oleksandr Melnychenko, Oleksii Ishchuk, Oleg Savenko

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Stratigraphic characteristics and shale gas enrichment interval distribution of the Lower Cambrian Qiongzhusi Formation, Upper Yangtze region, China by Hongyan WANG, Zhensheng SHI, Qun ZHAO, Tianqi ZHOU, Pengfei WANG

“…Furthermore, these shales serve as vital source rocks and reservoirs, having demonstrated considerable potential for shale gas exploration. Methods Using seismic, borehole, and outcrop data, this study investigated the shale strata and their distribution in the Qiongzhusi Formation through comparative analysis. …”
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