Key method of digitization of power distribution panel with artificial intelligence identification for power communication network by LIU Lin, YANG Zhimin, HUANG Qiang, YANG Jingwei, CHEN Yitong

“…To enhance the operational management efficiency of the power communication network, artificial intelligence technology was utilized to develop a digitalization method for distribution panels within the communication power system. …”
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Flood Forecasting with Sentinel-2 Images Using Machine Learning by V. Hnatushenko, V. Hnatushenko, V. Y. Kashtan, V. V. Hnatushenko, C. Heipke

“…The resulting flood maps provide valuable information for planning rescue operations and territory management, allowing for rapidly identifying areas of flooding. …”
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Protection of Microgrid Feeders Using Impedance Angle Analysis Assisted by Synchrophasor Units by Sunil Kumar, Ikbal Ali, Anwar Siddiqui

“…A new protection scheme is designed to operate the microgrid and detect faults. This scheme is designed for detecting internal faults as well as external faults. …”
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Intraoperative frozen section analysis can be omitted in early breast cancer without significantly elevating reoperation rates by Ferit Aydin, Mahmut Onur Kulturoglu, Fatih Aslan, Lutfi Dogan

“…The subsequent treatment management of patients with postoperative pathology reports was examined. …”
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Advanced Lasers and Their Applications in Dentistry by Olivia Lili Zhang, Iris Xiaoxue Yin, Ollie Yiru Yu, Kenneth Luk, John Yun Niu, Chun Hung Chu

“…Laser fluorescence has been utilized for the pre-operative diagnosis of dental caries, enabling early detection and effective treatment planning. …”
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Recycling-Oriented Characterization of Space Waste Through Clean Hyperspectral Imaging Technology in a Circular Economy Context by Giuseppe Bonifazi, Idiano D’Adamo, Roberta Palmieri, Silvia Serranti

“…The proposed study explores the potential of using a cost-effective strategy based on hyperspectral imaging (HSI) to classify space waste products, an emerging challenge in waste management. Specifically, it investigates the use of HSI sensors operating in the near-infrared range to detect and identify materials for sorting and classification. …”
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Deep Learning-Based Rapid Flow Field Reconstruction Model with Limited Monitoring Point Information by Ping Wang, Guangzhong Hu, Wenli Hu, Xiangdong Xue, Jing Tao, Huabin Wen

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A Multivariable Probability Density-Based Auto-Reconstruction Bi-LSTM Soft Sensor for Predicting Effluent BOD in Wastewater Treatment Plants by Wenting Li, Yonggang Li, Dong Li, Jiayi Zhou

“…The precise detection of effluent biological oxygen demand (BOD) is crucial for the stable operation of wastewater treatment plants (WWTPs). …”
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Photoluminescent Device for Monitoring Fusarium Infection in Seeds by M. N. Moskovsky, M. V. Belyakov, I. Yu. Efremenkov

“…Plant diseases reduce crop yields and can significantly undermine the sustainability of the agricultural sector. Early detection is crucial for effective disease control and management. …”
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Gastroenteropancreatic neuroendocrine tumors in children and adolescents by Ülkü Miray Yıldırım, Dilşad Koca, Rejin Kebudi

“…Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are rare in children and adolescents. Standard management of these tumors has not been well established due to their rarity in this age group. …”
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Synthesis and characterization of hematite nanomaterials imprinted with acetone, ethanol and methanol for AI-Based IoT gas sensor arrays by Rana M. Abdelghani, Abd El-Hady B. Kashyout, Iman Morsi, Taha Elsayed Taha, Naglaa F. Soliman, Walid El-Shafai

“…Conventional gas sensors often operate at high temperatures and are limited to detecting a single gas type, which restricts their applicability for comprehensive air quality management. …”
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The effect of leader damage on lodgepole pine site tree height growth by Gord Nigh

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Usability of the GrabMerchant Application: An Evaluation using the System Usability Scale and the Retrospective Think Aloud Method by Rima Handayani, Evi Maria

“…GrabMerchant is an application used by GrabFood and GrabMart business partners to manage various business operations, including order processing, inventory management, and promotional activities. …”
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Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells. by Owen M O'Connor, Mary J Dunlop

“…Existing architectures developed for cell tracking based on convolutional neural networks (CNNs) have tended to fall short in managing the spatial and global contextual dependencies that are crucial for tracking cells. …”
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Deforestation Regulation Open Platform (DROP): An AI-Driven Open-Source Platform for Economically Sustainable Coffee Production and European Union Deforestation Regulation (EUDR) C... by Mirko Ilowski

“…DROP utilizes artificial intelligence (AI) to manage extensive datasets, including farmer-uploaded images, 3D calculations, maps, ownership data, and export documents. …”
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Dynamic Risk Assessment and Control Framework for Work Zone and Its First Implementation under Simulation Environment by Zhepu Xu, Cancan Song, Jie Yu

“…The number of road maintenance operations in China is increasing. Work zones can interfere with everyday driving and bring significant safety hazards to the throughput vehicles and construction personnel. …”
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Exploiting Artificial Neural Networks for the State of Charge Estimation in EV/HV Battery Systems: A Review by Pierpaolo Dini, Davide Paolini

“…The versatility of ML enables its application to material discovery, model development, quality control, real-time monitoring, charge optimization, and fault detection, positioning it as an essential technology for modern battery management systems. …”
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Status and Development Prospects of Solar-Powered Unmanned Aerial Vehicles—A Literature Review by Krzysztof Sornek, Joanna Augustyn-Nadzieja, Izabella Rosikoń, Róża Łopusiewicz, Marta Łopusiewicz

“…Then, the design process of solar-powered unmanned aerial vehicles is discussed, including issues such as the structure and materials used in solar-powered aircraft, the integration of solar cells into the wings, the selection of appropriate battery technologies, and the optimization of energy management to ensure their efficient and reliable operation. …”
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Long-Term Efficacy of Pembrolizumab and the Clinical Utility of ctDNA in Locally Advanced dMMR/MSI-H Solid Tumors by Michael LaPelusa, Wei Qiao, Bryan Iorgulescu, Francis San Lucas, Keyur Patel, Deepak Bhamidipati, Jane Varkey Thomas, Nancy You, Wai Chin Foo, Dipen Maru, Selvi Thirumurthi, Van Morris, Scott Kopetz, Michael Overman, Kaysia Ludford

“…Patients with CRC who were managed non-operatively and had undetectable ctDNA after pembrolizumab had a higher 2-year EFS rate than patients with detectable ctDNA after pembrolizumab (100% vs 33%; p = 0.03). …”
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Comprehensive Analysis of Major Fault-to-Failure Mechanisms in Harmonic Drives by Roberto Guida, Antonio Carlo Bertolino, Andrea De Martin, Massimo Sorli

“…Condition-Based Maintenance (CBM) and Prognostics and Health Management (PHM) approaches are discussed, highlighting how digital twins and data-driven models can enhance fault detection. …”
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