The study of health and quality of operation of the transformer equipment electrical systems by A. R. Denisova, D. P. Spasov, A. R. Galyautdinova, V. R. Ivanova

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Main factors controlling stable production from gas-condensate reservoirs in block 2 of the Shunbei Oilfield, Tarim Basin by Shuyang Chen, Shengwen Mei, Cheng Huang, Wen Chen, Lei Zhang, Haojie Shang, Pengfei Xie

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Machine Learning Innovations for Improving Mineral Recovery and Processing: A Comprehensive Review* by Korie, Josephmartin Izuchukwu*, Chudi-Ajabor, Ogochukwu Gabriela, Ezeonyema, Chukwudalu Chukwuekezie, Oshim, Francisca Ogechukwu

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Identifikasi Kelayakan Air Minum Dengan Metode Analisis Komponen Utama Berbasis Entropi by Thommy willay, Jimmy Tjen, Paskalia Kartini, Riyadi Jimmy Iskandar

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Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt by Nadia Abd-Elfattah, Aia Dahroug, Manal El Kammar, Ramy Fahmy

“…The results show that this integrated approach reduces exploration risk, quantifies the chance of success, and enhances decision-making in well placement and hydrocarbon exploration. This method is particularly useful for identifying low seismic amplitude anomalies, which are often challenging to detect with conventional seismic analysis. (1) This study developed a workflow to detect low seismic amplitude gas fields in near-field exploration. (2) It uses a machine learning algorithm to classify and explore low-seismic-amplitude gas sand reservoirs. (3) This approach helps estimate the likelihood of success and reduces the risk associated with hydrocarbon exploration wells.…”
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Occurrence characteristics and utilization potential of scarce coking coal resources in Huaibei coalfield by Run ZHAN, Wenyong ZHANG, Feng HAN, Fengtang SUI, Jiayi GU, Guijian LIU, Tian ZHAO

“…By establishing an evaluation index system for the development and utilization of scarce coking coal resources, and using the hierarchical fuzzy evaluation method, each mine and exploration area are divided into four types of development zones: favorable, relatively favorable, general, and unfavorable. …”
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Poroelasticity and Fluid Flow Modeling for the 2012 Emilia-Romagna Earthquakes: Hints from GPS and InSAR Data by Massimo Nespoli, Maria Elina Belardinelli, Adriano Gualandi, Enrico Serpelloni, Maurizio Bonafede

“…We also show that accounting for a 3D fault representation with a nonuniform slip distribution and the elastic-hydraulic layering of the half-space has an important role in the simulation results.…”
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Crustal structure of the Ulaanbaatar region, Mongolia according to gravimetric data by B. Buyantogtokh, E. Kh. Turutanov, V. S. Kanaikin

“…Such indicators have beendiscovered by the geological, geophysical and geochemical methods. Our study shows that the geophysical methods (in particular, gravimetry) can considerably expand the knowledge of the morphology of geological objects at depth and facilitate reaching a new level in structural analysis, which is critical for developingnew ideas to clarify the geological history and tectonic conditions of the formation of the Mongolia-Siberian region.…”
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Zonation of Debris Cones and Talus Slopes in Aghlaghan Chay Basin (South Western Slope of Sabalan Mountain) by aghil Madadi, ata gafari, elnaz piroozi

“…The purpose of this study is Assessment and zonation Debris cones and Talus slopes. 2- Materials and Methods In this research, two methods of library and field study have been utilized to gather data and information. …”
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Dimensionado mediante simulación de sistemas de energía solar fotovoltaica aplicados a la electrificación rural by Ciaddy Gina Rodríguez ‐ Borges

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Technical countermeasures for deep pumping of highly deviated wells in deep reservoir by ZHANG Jin,TIAN Hongbo,HU Yuxin

“…At the same time, the effect analysis and experience summary are carried out for oil wells with different reservoir properties and different liquid supply capacity, and the feasibility evaluation method of deep pumping in different oil wells is formed.…”
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Inversion of multiphase tectonic stress field and fracture evolution in shale gas reservoirs by WANG Jiawei, ZHANG Bohu, HU Yao, HE Zhengyi, HU Xinxin, CHEN Wei, LUO Chao

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Earthquakes in Turkey and Syria in 2023 and geodynamics of the Caucasus-Anatolian region by V. B. Svalova

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Capability-driven framework to automate discovery of bounded contexts in large-scale requirements engineering by Shohreh Ajoudanian, Maryam Nooraei Abadeh

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Enhancing Microgrid Protection With Impedance-Based Blocking: An Embedded Validation on a Dual-Layer Architecture by Thiago S. Menezes, Ricardo A. S. Fernandes, Denis V. Coury

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Optimal protection coordination for directional overcurrent relays in radial distribution networks with inverter-based distributed energy resources by Jie Li, Jingtong Feng, Min Huang, Shenquan Liu, Gang Wang

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Vertical Deformation Extraction Using Joint Track SBAS-InSAR Along Coastal California, USA by Shunyao Wang, Fengxian Lu, Pengcheng Qi, Miao Zhang, Ziyue Zhang, Shunying Wang, Wenkai Song, Taofeng Ma

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An explainable machine learning framework for railway predictive maintenance using data streams from the metro operator of Portugal by Silvia García-Méndez, Francisco de Arriba-Pérez, Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan Carlos Burguillo-Rial

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Signatures of the Existence of Frontal and Lateral Ramp Structures Near the Kishtwar Window of the Jammu and Kashmir Himalaya: Evidence From Microseismicity and Source Mechanisms by Himangshu Paul, Keith Priestley, Debarchan Powali, Swati Sharma, Supriyo Mitra, Sunil Wanchoo

“…The model obtained for SW cluster of seismicity showed the presence of a lateral ramp dipping to the SE. Normal faulting was observed in the SW cluster. Our analysis shows two possible causes for the existence of these normal faults—the existing strike‐slip motion loading/unloading stresses on the lateral heterogeneities within the decollement or the transfer of potential energy by sediment yield of the river Chenab. …”
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The Design and Optimization of Additively Manufactured Windings Utilizing Data Driven Algorithms for Minimal Loss in Electric Machines by John McKay, Jill Miscandlon, Tatyana Konkova

“…Such avenues include, thermal management systems, novel winding materials and novel winding manufacturing methods. Additive manufacturing is generally recognised as a transformative manufacturing technology, especially in the design of electric machines. …”
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