A New Approach to Electrical Fault Detection in Urban Structures Using Dynamic Programming and Optimized Support Vector Machines by Reynaldo Villarreal, Sindy Chamorro-Solano, Yolanda Vega-Sampayo, Carlos Alejandro Espejo, Steffen Cantillo, Luis Gaviria, Jheifer Paez, Carlos Ochoa, Silvia Moreno, Claudet Polo, Roberto Pestana-Nobles, Camilo Montoya

“…This model achieved high accuracy in detecting system failures, identifying them with a performance greater than 99%, highlighting the potential of smart sensing technologies combined with AI to improve urban infrastructure management. …”
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Multisensor Data Fusion for Coastal Boundary Detection by Res-U-Net Implementation Using High-Resolution UAV Imagery by Qin Wang, Nyasha J. Kavhiza, Fakhrul Islam, Ilyas Ahmad Huqqani, Mohsin Abbas, Sanjoy Barman

“…Environmental planning, hazard monitoring, and coastal management depend critically on accurate shoreline definition. …”
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A self-powered millifluidic device driven by triboelectric generator for the label-free and real-time detection of DNA hybridization by Tara Ghafouri, Sheida Bagherzadeh‑Nobari, Negin Manavizadeh

“…In this paper, a novel, versatile, easy-to-operate, highly sensitive triboelectrification-induced platform is suggested for the detection of DNA hybridization without electric poling and labeling the targeted DNA. …”
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Zero Trust Architecture for Electric Transportation Systems: A Systematic Survey and Deep Learning Framework for Replay Attack Detection by Grace Muriithi, Behnaz Papari, Ali Arsalan, Laxman Timilsina, Alex Muriithi, Elutunji Buraimoh, Asif Khan, Gokhan Ozkan, Christopher Edrington, Akram Papari

“…Additionally, this work proposes a deep learning-based replay attack detection scheme for the battery management system (BMS) of HEVs. …”
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Artificial Intelligence‐Based Detection of Central Retinal Artery Occlusion Within 4.5 Hours on Standard Fundus Photographs by Ayse Gungor, Ilias Sarbout, Aubrey L. Gilbert, Steffen Hamann, Pierre Lebranchu, Cristina Hobeanu, Philippe Gohier, Catherine Vignal‐Clermont, Oana M. Dumitrascu, Salomon‐Yves Cohen, Wolf A. Lagrèze, Nicolas Feltgen, Frank van der Heide, Cédric Lamirel, Jost B. Jonas, Michael Obadia, Daniel Racoceanu, Dan Milea

“…Results The deep learning system achieved an area under the receiver operating characteristic curve of 0.96 (95% confidence interval (CI), 0.95–0.98), a sensitivity of 92.6% (95% CI, 87.0–98.0), and a specificity of 85.0% (95% CI, 81.8–92.8) for detecting CRAO at hyperacute stage, with similar results within 24 hours. …”
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Abstract 015: Pioneering NaF‐PET/CT Imaging for Early Detection of Atherosclerosis: Potential Implications for Neurointerventional Surgery by Eric M Teichner, Robert C Subtirelu, Arjun B Ashok, Yvonne Su, Victoria A Anderson, Milo Writer, Omar Al‐Daoud, Miraziz Ismoilov, Chitra Parikh, William Y Raynor, Sahithi Talasila, Poul F Høilund‐Carlsen, Abass Alavi, Mona‐Elisabeth Revheim

“…The ability to precisely detect atherosclerosis is crucial, as it directly influences patient management, including decisions regarding surgical interventions. …”
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Deep Learning-Assisted Diagnostic System: Implant Brand Detection Using Improved IB-YOLOv10 in Periapical Radiographs by Yuan-Jin Lin, Shih-Lun Chen, Ya-Cheng Lu, Xu-Ming Lin, Yi-Cheng Mao, Ming-Yi Chen, Chao-Shun Yang, Tsung-Yi Chen, Kuo-Chen Li, Wei-Chen Tu, Patricia Angela R. Abu, Chiung-An Chen

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A STUDY ON THE MONITORING MANAGEMENT SYSTEM FOR ANALYZING THE HEALTH STATUS OF LIVESTOCK CATTLE BASED ON MACHINE LEARNING by Cho Jeong Hyun

“…Notably, the use of digital databases allows for the storage and analysis of real-time information regarding livestock, such as estrus detection, genetic status, and movement patterns, facilitating the establishment of comprehensive livestock management systems. …”
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Key Audit Matters and earnings management practice pre and during COVID-19: evidence from Jordan by Sajead Mowafaq Alshdaifat, Mohamad Ali Abdul-Hamid, Mohammad Alhadab, Saidatunur Fauzi Saidin, Noor Hidayah Ab Aziz

“…Findings – The inability of auditors to detect earnings management through KAM is evident in the results, as they reveal a positive association between KAM and real earnings management through abnormal cash flows from operations pre COVID-19 period. …”
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The impact of board gender diversity on the accrual/real earnings management practice: evidence from an emerging market by Eman F. Attia, Sameh Yassen, Ahmed Chafai, Ahmed Qotb

“…The quality of financial reporting is measured using different models of earnings management (accrual and real earnings management). Accrual earnings management (AEM) is detected through four different models developed by modified Jones model, the Kasznik model, Kothari model, Raman and Shahrur model, while real earnings management (REM) is measured using six different model which are abnormal cash flows from operations (ABCFO), abnormal production costs (ABPROD), abnormal discretionary expenditures (ABDISEXP) and three aggregate proxies (RM1, RM2, RM3). …”
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Effectiveness of ultra-rapid (20 min) high-frequency in-situ cardiac arrest simulations in a high-volume operating department – A tool for evaluating and implementing emergency rou... by Anna Sundelin, Anders Stålman, Therese Djärv

“…Implementing in-situ cardiac arrest simulations in these settings is crucial to evaluate adherence to cardiopulmonary resuscitation (CPR) guidelines and enhance patient safety by detecting and managing safety threats. Method: From October 2023 to June 2024, a 20-minute in-situ cardiac arrest simulation with debriefing was conducted bi-weekly in a high-volume orthopedic surgery ward with seven operating rooms, without additional staffing. …”
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Management of a permanent maxillary first molar with unusual crown and root anatomy: a case report by Prateeksha Chowdhry, Pallavi Reddy, Mamta Kaushik

“…Clinical diagnosis of the roots and root canal configuration was confirmed by a cone-beam computed tomography (CBCT) and the detection of the canals was made using a dental operating microscope. …”
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Key trends, challenges, and opportunities in scientific journal management between 2013 and 2023: a systematic review by Muhamad Nur Azmi Wahyudi, Ida Nugroho Saputro, Alhaura Nabighatul Ula, Cahyo Widodo

“…Technological innovations, such as artificial intelligence–driven tools, improved plagiarism detection systems, and semantic workflows, have improved operational efficiency. …”
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Research on Inspection Method of Intelligent Factory Inspection Robot for Personnel Safety Protection by Ruohuai Sun, Bin Zhao, Chengdong Wu, Xiaohong Qin

“…Compared with conventional YOLO models, the proposed method performs more stably in safety attire detection, offering a reliable technical foundation for safety management in intelligent factories.…”
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Exploring the Landscape of Programming Language Identification With Machine Learning Approaches by Amandeep Verma, Rahul Saha, Gulshan Kumar, Alessandro Brighente, Mauro Conti, Tai-Hoon Kim

“…These techniques include conventional, operation-based, and data source-based techniques. …”
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The Role of Integrated Nursing Interventions in Traumatic Brain Injury Management in the Emergency Department: A Retrospective Study by Zhou Y, Zhou L, Chen X

“…Further studies are needed to investigate the optimal strategies and cost-effectiveness of nursing interventions in TBI management in the ED.Keywords: traumatic brain injury, emergency department, nursing interventions, adverse events, prognosis, patient management…”
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Comparative analysis of normalised difference spectral indices derived from MODIS for detecting surface water in flooded rice cropping systems. by Mirco Boschetti, Francesco Nutini, Giacinto Manfron, Pietro Alessandro Brivio, Andrew Nelson

“…Identifying managed flooding in paddy fields is commonly used in remote sensing to detect rice. …”
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Antiretroviral therapy among patients with HIV in Almaty, Kazakhstan: the implication for HIV-associated tuberculosis control by Alfiya Denebayeva, Arpine Abrahamyan, Aelita Sargsyan, Karine Kentenyants, Ainur Zhandybayeva, Zhamilya Nugmanova, Anarkhan Nurkerimova, Karapet Davtyan, Marat Tukeyev

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Hydraulic brake fault detection from acoustic signals using frequency domain filter bank integrated deep learning framework by Saumye Saran Das, Raushan Kumar, Manas Ranjan Prusty, Tapan K. Mahanta, Subhra Rani Patra

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Efficient Switched-Beam Detection for Dynamic Spectrum Sharing in 6G Wireless Networks With Full Duplex Technology at the THz Band by Andrea Tani, Dania Marabissi

“…Both molecular re-radiation and RSI are sources of colored noise that dominate additive white Gaussian noise, complicating the operations of SS algorithms that do not require prior information based on the eigenvalues of the sample covariance matrix. …”
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