Maize Classification in Arid Regions via Spatiotemporal Feature Optimization and Multi-Source Remote Sensing Integration by Guang Yang, Jun Wang, Zhengyuan Qi

“…Key findings include: (1) Variables driven by spatiotemporal differentiation were effectively selected, with red-edge bands (B5–B7) during the grain-filling stage in August accounting for 56.7% of the top 30 features, which were closely correlated with canopy chlorophyll content (<i>p</i> < 0.01). (2) A breakthrough in lightweight modeling was achieved, reducing the number of features by 69%, enhancing computational efficiency by 62.5% (from 8 h to 3 h), and decreasing memory usage by 66.7% (from 12 GB to 4 GB), while maintaining classification accuracy (PA: 97.69%, UA: 97.20%, Kappa: 0.89). (3) Multi-source data fusion improved accuracy by 11.54% compared to optical-only schemes, demonstrating the compensatory role of radar in arid, cloudy regions. …”
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A novel design of a hybrid micro-scale multistage turbine model for sustainable energy sources by Ahmed M. Daabo, Ali Basem, Mudasar Zafar, Ali Alkhabbaz, Abdalqader Ahmad, Qusay R. Al-Amir, Haider K. Easa

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EasyHypergraph: an open-source software for fast and memory-saving analysis and learning of higher-order networks by Bodian Ye, Min Gao, Xiu-Xiu Zhan, Xinlei He, Zi-Ke Zhang, Qingyuan Gong, Xin Wang, Yang Chen

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Reinforcement Learning-Based Augmentation of Data Collection for Bayesian Optimization Towards Radiation Survey and Source Localization by Jeremy Marquardt, Leonard Lucas, Stylianos Chatzidakis

“…Safer and more efficient characterization of radioactive environments requires exploring intelligently, utilizing robotic systems which use smart strategies and physics-based statistical models. …”
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Multi-Time Scale Scenario Generation for Source–Load Modeling Through Temporal Generative Adversarial Networks by Liang Ma, Shigong Jiang, Yi Song, Chenyi Si, Xiaohan Li

“…To further enhance the efficiency and practicality of distribution network planning, it is essential to model the uncertainties in source–load dynamic scenarios. …”
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Distributed Decision Making for Electromagnetic Radiation Source Localization Using Multi-Agent Deep Reinforcement Learning by Jiteng Chen, Zehui Zhang, Dan Fan, Chaoqun Hou, Yue Zhang, Teng Hou, Xiangni Zou, Jun Zhao

“…We adopt a dual-branch actor structure for independent decisions in UAV control, which reduces decision complexity and improves learning efficiency. The algorithm incorporates task-specific knowledge into the reward function design to guide UAVs in exploring abnormal radiation sources. …”
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Automatic detection of Cyanobacterial blooms using multi-source optical satellite imagery: method development and application by Hailong Zhang, Chen Lu, Deyong Sun, Xiaomin Ye, Shengqiang Wang, Quan Qin

“…However, these methods require ancillary atmospheric data and preprocessing procedures, thereby limiting their operational efficiency and scalability. The potential of multi-source satellite imagery remains underexploited due to the lake of robust methods for automatic CyanoBloom detection across various satellite platforms. …”
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Strategies for Efficient Utilization of Corn Distillers Dried Grains with Solubles in Diets of Pigs: A Review by Chunsheng Wang, Xinru Huang, Xue Liu, Ruixue Wang, Jianping Li, Qingwei Meng, Anshan Shan

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Efficiency of Removing Xylene Vapor from Air Utilizing Nano Graphene and Nano Graphene Oxide by Akram Tabrizi, Mostafa Jafarizaveh, Hamid Shirkhanloo, Farideh Golbabaeie

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Efficiency of Renewable Energy Potential Utilization in European Union: Towards Responsible Net-Zero Policy by Ewa Chodakowska, Joanicjusz Nazarko, Łukasz Nazarko

“…Germany and the Netherlands achieved 100% relative efficiency in 2022. The results reveal that the development of alternative energy sources and the efficiency of the installed power capacity utilization are not always in line with the local environmental conditions. …”
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Phosphorus Utilization Efficiency Among Corn Era Hybrids Released over Seventy-Five Years by Kwame Ampong, Chad J. Penn, James Camberato, Daniel Quinn, Mark Williams

“…The high demands of corn (<i>Zea mays</i> L.) grain production coupled with water quality goals and phosphorus (P) conservation pose a great challenge to farmers and society and necessitate improved P utilization efficiency (PU<i>t</i>E: grain yield per mass total P (TP) content). …”
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Flow Allocation Algorithm Based on Potential Game in Multi-Source Multi-Hop Wireless Sensor Network by Wei Zhang, Linghua Zhang

“…The problem of broadcasting K different contents to D destinations from N sources in wireless network was considered. A dynamic control scheme that allows sources split traffic was proposed. …”
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An open-source automated rodent paradigm for forelimb movement in motor control, executive functions, and learning studies by Alavie Mirfathollahi, Mohammad Taghi Ghodrati, Vahid Shalchyan, Mohammad Reza Zarrindast, Mohammad Reza Daliri

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Three-Dimensional Numerical Study on Fracturing Monitoring Using Controlled-Source Electromagnetic Method with Borehole Casing by Qinrun Yang, Maojin Tan, Jianhua Yue, Yunqi Zou, Binchen Wang, Xiaozhen Teng, Haoyan Zhao, Pin Deng

“…The borehole-to-surface electromagnetic imaging method (BSEM) overcomes this limitation by utilizing a controlled cased well source. Placing the source close to the target reservoir and deploying multi-component receivers on the surface enable high-precision lateral monitoring, providing an effective approach for dynamic monitoring of hydraulic fracturing operations. …”
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Intelligent Operation and Maintenance of Wind Turbines Gearboxes via Digital Twin and Multi-Source Data Fusion by Tiantian Xu, Xuedong Zhang, Wenlei Sun, Binkai Wang

“…To address these issues, this study systematically explores an intelligent operation and maintenance method for wind turbines, utilizing digital twin technology and multi-source data fusion. …”
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A comprehensive review of artificial intelligence approaches for smart grid integration and optimization by Malik Ali Judge, Vincenzo Franzitta, Domenico Curto, Andrea Guercio, Giansalvo Cirrincione, Hasan Ali Khattak

“…This amalgamation may bring a power mismatch dilemma due to intermittent renewable energy production and nonlinear energy consumption patterns which can affect the whole system’s reliability and operational efficiency. An efficient Energy Management System (EMS) is essential to deal with uncertainties associated with renewable energy production and load demand while optimizing the operation of distributed energy generation sources. …”
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Process and Validation of Depletion Database Based on Evaluated Nuclear Data Libraries by LUO Hao, LI Jie, HUANG Shanfang, WANG Kan

“…Several evaluated nuclear databases, including ENDF/B-Ⅷ.0, ENDF/B-Ⅶ.1, JEFF-3.3, and JENDL-5, were utilized as sources of nuclear data. The researchers developed a specialized database generation program called ALG (automatic library generator) to facilitate the creation of a high-quality depletion nuclear database. …”
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Design of Thermoelectric Cooling System for Heat Removal from Non-uniform Distributed Heat Source in Cell Phones by Zhang Jinyang, Cao Lili, Miao Min

“…As a result, chip temperature was reduced from 48 to 34 ℃, and the utilization of a full load chip was improved by approximately 20%, whichserves as a solution to the problem of cooling heat sources with non-uniform distribution.…”
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Inversion and Simulation Algorithm of High-Density Surface Wave Method for Pseudo Co-Seismic Source and Its Application by JIN Tao, GAO Bin, WANG Qiangqiang, ZHOU Hang, HE Wen, FENG Shaokong

“…This method involves the collection of a large volume of data through high-density data acquisition, where multiple measurements at the same location with different pseudo-sources are combined during the inversion process, significantly enhancing the efficiency and utilization of the detection process. …”
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Methane Synthesis as a Source of Energy Loss Impacting Microbial Protein Synthesis in Beef Cattle—A Review by Wilmer Cuervo, Camila Gomez-Lopez, Nicolas DiLorenzo

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