Evaluation for Sortie Generation Capacity of the Carrier Aircraft Based on the Variable Structure RBF Neural Network with the Fast Learning Rate by Tiantian Luan, Mingxiao Sun, Guoqing Xia, Daidai Chen

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Some features of geological structure of the Shikotan Island (Lesser Kuril Arc)—A view from 'Space' by Evgeny P Terekhov, Anatoly V Mozherovsky

“…Despite these positive results, analysis of satellite images of Shikotan Island unexpectedly has not confirmed the existence of the Central Shikotan thrust fault, the largest previously mapped tectonic structure on the island. …”
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Enhancing Quality Control of Packaging Product: A Six Sigma and Data Mining Approach by Resty Ayu Ramadhani, Rina Fitriana, Anik Nur Habyba, Yun-Chia Liang

“…The research methodology encompasses defining the problem through SIPOC and Critical to Quality (CTQ) diagrams, measuring via control charts and sigma level calculations, and analyzing using tools like pareto diagrams, Apriori algorithms, fishbone diagrams, and Fault Mode and Effect Analysis (FMEA). Key findings reveal a notable correlation between spot defects and varying colors, leading to pearl defects as identified by the Apriori algorithm. …”
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Two-Stage Locating and Capacity Optimization Model for the Ultra-High-Voltage DC Receiving End Considering Carbon Emission Trading and Renewable Energy Time-Series Output Reconstru... by Lang Zhao, Zhidong Wang, Hao Sheng, Yizheng Li, Tianqi Zhang, Yao Wang, Haifeng Yu

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Latent landslide hazard recognition in Fang County using synthetic aperture radar interferometry and geological data by Shunyao Wang, Shunyao Wang, Shunyao Wang, Qingbin Fan, Hui Li

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A novel small-scale wind-turbine blade failure detection according to monitored-data by A. Aranizadeh, H. Shad, B. Vahidi, A. Khorsandi

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Landslide Susceptibility Mapping in Darjeeling Himalayas, India by Amit Chawla, Sowmiya Chawla, Srinivas Pasupuleti, A. C. S. Rao, Kripamoy Sarkar, Rajesh Dwivedi

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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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An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids by Mohammad Mehdi Sharifi Nevisi, Mehrdad Shoeibi, Francisco Hernando-Gallego, Diego Martín, Sarvenaz Sadat Khatami

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Multifactor Algorithm for Test Case Selection and Ordering by Atulya Gupta, Rajendra Prasad Mahapatra

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MWMOTE-FRIS-INFFC: An Improved Majority Weighted Minority Oversampling Technique for Solving Noisy and Imbalanced Classification Datasets by Dong Zhang, Xiang Huang, Gen Li, Shengjie Kong, Liang Dong

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A model of faulty and faultless disagreement for post-hoc assessments of knowledge utilization in evidence-based policymaking by Remco Heesen, Hannah Rubin, Mike D. Schneider, Katie Woolaston, Alejandro Bortolus, Emelda E. Chukwu, Ricardo Kaufer, Veli Mitova, Anne Schwenkenbecher, Evangelina Schwindt, Helena Slanickova, Temitope O. Sogbanmu, Chad L. Hewitt

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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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Noise Reduction in CWRU Data Using DAE and Classification with ViT by Jun-gyo Jang, Soon-sup Lee, Se-yun Hwang, Jae-chul Lee

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Discursive Strategies of Indirect Apology in English-Language Personal Communication by E. Yu. Ilyinova, O. S. Volkova, V. A. Litvinova

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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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Life extension of wind turbine drivetrains by means of SCADA data: Case study of generator bearings in an onshore wind farm by Kelly Tartt, Abbas Mehrad Kazemi-Amiri, Amir R. Nejad, James Carroll, Alasdair McDonald

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Artificial Intelligence-Based Reliability and Material Characterization of AlInGaP LEDs in Salty Water Environments by Deng-Yi Wang, You-Li Lin, Yu-Tung Chen, En-Ting He, Wei-Cheng Chen, Yaw-Wen Kuo, Wei-Han Hsiao, Hsin-Hung Chou, Chia-Feng Lin, Yung-Hui Li, Yewchung Sermon Wu, Wen-Chang Huang, Hsiang Chen, Dong-Sing Wuu, Jung Han

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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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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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