Resource-Efficient Design and Implementation of Real-Time Parking Monitoring System with Edge Device by Jungyoon Kim, Incheol Jeong, Jungil Jung, Jinsoo Cho

“…Parking management systems play a crucial role in addressing parking shortages and operational challenges; however, high initial costs and infrastructure requirements often hinder their implementation. …”
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A Comprehensive Review of Shaft Voltages and Bearing Currents, Measurements and Monitoring Systems in Large Turbogenerators by Katudi Oupa Mailula, Akshay K. Saha

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Substation Modelling and Network Security Monitoring Based on Scene Replication Technology by Xiaohu WANG, Guangxin Guo, Jiahan DONG, Lei WANG, Can CAO

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Applying the defense model to strengthen information security with artificial intelligence in computer networks of the financial services sector by Arodh Lal Karn, Hayder M. A. Ghanimi, Vijayalakshmi Iyengar, Mohd Shuaib Siddiqui, Meshal Ghalib Alharbi, Roobaea Alroobaea, Amr Yousef, Sudhakar Sengan

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From Inception to Innovation: A Comprehensive Review and Bibliometric Analysis of IoT-Enabled Fire Safety Systems by Ali Abdullah S. AlQahtani, Mohammed Sulaiman, Thamraa Alshayeb, Hosam Alamleh

“…This paper offers an in-depth analysis of the role of the Internet of Things (IoT) in fire safety systems, with a particular emphasis on fire detection, localization, and evacuation. Through a comprehensive bibliometric analysis, we identify pivotal research trends and advancements in IoT-based sensors, devices, and network architectures that facilitate real-time fire management. …”
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Enabling Sustainable Solar Energy Systems Through Electromagnetic Monitoring of Key Components Across Production, Usage, and Recycling: A Review by Mahdieh Samimi, Hassan Hosseinlaghab

“…During production, eddy current testing and impedance spectroscopy improve quality control while reducing waste. In operational phases, RFID-based monitoring enables continuous performance tracking and early fault detection of photovoltaic panels. …”
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Hybrid AI-Powered Real-Time Distributed Denial of Service Detection and Traffic Monitoring for Software-Defined-Based Vehicular Ad Hoc Networks: A New Paradigm for Securing Intelli... by Onur Polat, Saadin Oyucu, Muammer Türkoğlu, Hüseyin Polat, Ahmet Aksoz, Fahri Yardımcı

“…The proposed system is designed to operate as a module within the SDN controller, enabling the detection of DDoS attacks. …”
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Improving population size estimation at western capercaillie leks: lek counts versus genetic methods by Gaël Aleix‐Mata, Antonio J. López‐Montoya, Pascal Lapébie, Evelyn Marty, Pierre Mourierres, Jesús M. Pérez, Antonio Sánchez

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Deep learning-based cough classification using application-recorded sounds: a transfer learning approach with VGGish by Sanghoon Han, Yu-rim Lee, Ji-ho Lee, JinHee Jeon, Choongki Min, Kyungnam Kim, Donghoon Kim, Myung Pyo Kim, Young Mi Park, Uiri An, Kyoung Min Moon

“…By leveraging deep learning and smartphone-recorded cough sounds, this approach aims to enhance early detection and management of respiratory diseases.…”
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Effectiveness of Standalone Weight-bearing Radiographs in Guiding the Management of Supination External Rotation Type Isolated Lateral Malleolar Fractures in Indian Population: A P... by Singaravadivelu Vaidyanathan, Vignesh Murali, Aju Bosco

“…Four patients (21%), who would have been operated had external rotation stress views been used in decision making, were managed conservatively with successful clinical outcome and excellent AOFAS scores. …”
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DIFFICULTIES IN THE DIAGNOSIS AND SURGICAL TREATMENT OF XANTOGRANULOMATOUS PYELONEPHRITIS by E. Enchev, G. Minkov, E. Dimitrov, S. Nikolov, A. Petrov, Iv. Ovcharov, Y. Yovtchev

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Online and Offline Identification of False Data Injection Attacks in Battery Sensors Using a Single Particle Model by Victoria A. O'Brien, Vittal S. Rao, Rodrigo D. Trevizan

“…Inaccurate SoC estimation could result in battery overcharging and over discharging, which can have disastrous consequences on grid operations. This paper proposes a three-pronged online and offline method to detect, identify, and classify FDIAs corrupting the voltage sensors of a battery stack. …”
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Enhancing Safety in Autonomous Maritime Transportation Systems with Real-Time AI Agents by Irmina Durlik, Tymoteusz Miller, Ewelina Kostecka, Polina Kozlovska, Wojciech Ślączka

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Developing and testing community-based tuberculosis (TB) screening intervention to increase TB referral, case detection and knowledge among sexual minority people in urban Banglade... by Mahbubur Rahman, Golam Sarwar, Masud Reza, Mohammad Niaz Morshed Khan, Gorkey Gourab, A K M Masud Rana, Shaan Muberra Khan, Samira Dishti Irfan, Shahriar Ahmed, Rupali Sisir Banu, Sayera Banu, Sharful Islam Khan

“…Findings of this experimental research are likely to provide new insights for programme managers and policy planners for adopting a similar approach in order to enhance TB referral, thus ultimately increasing TB case detections and reducing the likelihood of TB-related mortalities and morbidities, irrespective of HIV status.Methods and analysis This operational research will follow a quasi-experimental design, applying both qualitative and quantitative methods, in two drop-in centres in three phases. …”
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Evaluation of response to a cholera outbreak in January 2024 using the 7–1–7 timeliness metrics: a case study of Elegu Point of Entry, Uganda by Innocent Ssemanda, Brian Kibwika, Ritah Namusoosa, Benon Kwesiga, Lilian Bulage, Richard Migisha, Alex Riolexus Ario

“…We investigated and evaluated the initial response to a January 2024 cholera outbreak in Elegu Town, on the Uganda-South Sudan border, using the 7–1–7 timeliness metrics to assess detection, notification, and response capacities, highlighting Uganda's preparedness and challenges in managing cross-border outbreaks. …”
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Enhancing Clinical Assessment of Skin Ulcers with Automated and Objective Convolutional Neural Network-Based Segmentation and 3D Analysis by Rosanna Cavazzana, Angelo Faccia, Aurora Cavallaro, Marco Giuranno, Sara Becchi, Chiara Innocente, Giorgia Marullo, Elia Ricci, Jacopo Secco, Enrico Vezzetti, Luca Ulrich

“…This study introduces a method for automatically detecting and segmenting skin ulcers using a Convolutional Neural Network and two-dimensional images. …”
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Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the Fire Influence on Regional to Global Environments and Air Qu... by Nicholas LaHaye, Anastasija Easley, Kyongsik Yun, Hugo Lee, Erik Linstead, Michael J. Garay, Olga V. Kalashnikova

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Precision Medicine Assessment of the Radiographic Defect Angle of the Intrabony Defect in Periodontal Lesions by Deep Learning of Bitewing Radiographs by Patricia Angela R. Abu, Yi-Cheng Mao, Yuan-Jin Lin, Chien-Kai Chao, Yi-He Lin, Bo-Siang Wang, Chiung-An Chen, Shih-Lun Chen, Tsung-Yi Chen, Kuo-Chen Li

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Minimally invasive management of intramural pregnancy using ultrasound combined with laparoscopy -based learning experience from a low-middle income country: a case report and revi... by Ngoc Diep Le, Phuc Nhon Nguyen

“…This surgical intervention was carefully performed under ultrasound guidance at operating room. The surgical management resulted in a favorable outcome, though a hysterectomy and laparotomy could be avoided intentionally in this case. …”
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Legacy ICS Cybersecurity Assessment Using Hybrid Threat Modeling—An Oil and Gas Sector Case Study by Mohamed Badawy, Nada H. Sherief, Ayman A. Abdel-Hamid

“…This paper proposes a hybrid threat modeling framework based on system-centric, attacker-centric, and risk-centric approaches to identify threats in Operational Technology (OT) applications. OT is made up of software and hardware used to manage, secure, and control industrial control systems (ICS), and its environments include factories, power plants, oil and gas refineries, and pipelines. …”
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