State-of-the-Art Review on the Application of Unmanned Aerial Vehicles (UAVs) in Power Line Inspections: Current Innovations, Trends, and Future Prospects by Bongumsa Mendu, Nhlanhla Mbuli

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Plant recognition of maize seedling stage in UAV remote sensing images based on H-RT-DETR by Yunlong Wu, Shouqi Yuan, Lingdi Tang

“…Abstract The real-time monitoring and counting of maize seed germination at seedling stage is of great significance for seed quality detection, field management and yield estimation. Traditional manual monitoring and counting is very time-consuming, cumbersome and error-prone. …”
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Gestión de los Colegios Profesionales de Educación Física y Deporte desde una perspectiva interna (Management of Professional Colleges of Physical Education and Sport from an inte... by Roberto Silva Piñeiro, Jorge Fernando García Unanue

“…Despite the economic austerity and dependence on annual fees, no liquidity tensions or financial debt were detected, which also would favours the approach of new structural challenges. …”
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IT GOVERNANCE IN THE BANKING SECTOR: EVIDENCE FROM ITALY, GERMANY, FRANCE AND SPAIN by Ida Claudia Panetta, Sabrina Leo, Fabrizio Santoboni, Gianfranco Vento

“…IT and data architectures are also becoming even more necessary to improve banks’ risk management process, and support the broad management of financial risks. …”
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Trapping efficacy of invasive crows is affected by environmental factors and deployment history by Cheryl K. L. Yong, Malcolm C. K. Soh, Astri Noorbaini Samsuri, Kai Ning Lim, Kenneth B. H. Er

“…Trapping efficacy increased if traps were placed in high crow‐density areas, likely because more crows could detect the traps. The probability of capture also declined if the traps were placed closer to prior trapping locations or with a shorter time interval from previous trapping operations. …”
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Assessment of LiDAR-Based Sensing Technologies in Bird–Drone Collision Scenarios by Paula Seoane, Enrique Aldao, Fernando Veiga-López, Higinio González-Jorge

“…Bird detection is a relatively underexplored area, but due to the large number of birds, their shared airspace with drones, and the fact that they are non-cooperative elements within an air traffic management system, it is of interest to study how their detection can be improved and how collisions with them can be avoided. …”
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Intra action review of the cholera outbreak response in Kadoma city, Zimbabwe, 2024 by Clayton Munemo, Chido Zibanayi, Hamilton Gomba, Precious Banda, Sarah Tengawarima, Sikhanyisiwe Moyo, Daniel Chirundu

“…In 2024, Kadoma City experienced a cholera outbreak that resulted in 1799 cases managed at the Cholera Treatment Center (CTC), 2535 suspected cases seen at Oral Rehydration Points (ORPs), and 31 deaths. …”
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Evaluating Deep Learning Networks Versus Hybrid Network for Smart Monitoring of Hydropower Plants by Fatemeh Hajimohammadali, Emanuele Crisostomi, Mauro Tucci, Nunzia Fontana

“…Accordingly, there is great interest in developing methods to prevent errors and anomalies and ensure full operational availability. With modern hydropower plants equipped with sensors that capture extensive data, machine learning algorithms utilizing these data to detect and predict anomalies have gained research attention. …”
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PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models by Michel Gokan Khan, Renan Guarese, Fabian Johnson, Xi Vincent Wang, Anders Bergman, Benjamin Edvinsson, Mario Romero, Jeremy Vachier, Jan Kronqvist

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Research on Security Enhancement for Abnormal Content Release in Unified Audio Video Information service Systems by FENG Junhao

“…Experimental evaluations are conducted to assess the system applicability and the performance of abnormal content review under various operational conditions of the audio video information security management system. …”
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Classification and Time-Frequency Localization of Arbitrary LPWAN Signals With Radial Deformable DETR by Chun Ho Kong, Haibo Hu

“…With the increasing adoption of Internet-of-Things (IoT) technologies, numerous devices utilizing protocols such as Sigfox and LoRa are now widely available inexpensively and operate in unlicensed ISM bands. However, challenges such as inventory management, unauthorized usage, and network performance must be addressed. …”
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Addressing Insider Threats: The Human Factor in Cybersecurity for Financial Institutions by Hewa Majeed Zangana, Harman Salih Mohammed, Mamo Muhamad Husain

“…The findings reveal that AI-powered tools—such as behavioral biometrics, machine learning, and blockchain technologies—substantially enhance fraud detection and risk management. Real-world implementations in financial institutions demonstrated improved threat response, reduced regulatory penalties, and increased operational efficiency. …”
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Wildfire Early Warning System Based on a Smart CO₂ Sensors Network by Alessio De Rango, Luca Furnari, Fabio Cortale, Alfonso Senatore, Giuseppe Mendicino

“…Therefore, the system not only improves early fire detection models but also effectively supports firefighting operations.…”
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TinyML-Based Lightweight AI Healthcare Mobile Chatbot Deployment by Johnvictor AC, Poonkodi M, Prem Sankar N, VS T

“…Recent advancements in Artificial Intelligence have significantly affected nursing, assistive management, medical diagnoses, and other critical medical procedures.Purpose: Many artificial intelligence (AI) solutions operate online, posing potential risks to patient data security. …”
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Automated Snow Avalanche Monitoring and Alert System Using Distributed Acoustic Sensing in Norway by Antoine Turquet, Andreas Wuestefeld, Guro K. Svendsen, Finn Kåre Nyhammer, Espen Lauvlund Nilsen, Andreas Per-Ola Persson, Vetle Refsum

“…Avalanches present substantial hazard risk in mountainous regions, particularly when avalanches obstruct roads, either hitting vehicles directly or leaving traffic exposed to subsequent avalanches during cycles. Traditional detection methods often are designed to cover only a limited section of a road stretch, hampering effective risk management. …”
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EBSSPA: Efficient Deep Learning Model for Enhancing Blockchain Scalability and Security Through Fusion Pattern Analysis by Anuradha Hiwase, Amit Pimpalkar, Barkha Dange, Nitin Thakre, Sakshi Jaiswal, Tejaswini Mankar

“…Furthermore, random forest and convolutional neural networks (CNNs) are applied to augment security operations as an effective classier and anomaly detector on transaction data and a real-time threat detection on transaction patterns using the CNNs. …”
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Banking Transformation Through FinTech and the Integration of Artificial Intelligence in Payments by Otilia Manta, Valentina Vasile, Elena Rusu

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Effectiveness of introducing pulse oximetry and clinical decision support algorithms for the management of sick children in primary care in India and Tanzania on hospitalisation an... by Fenella Beynon, Grace Mhalu, Divas Kumar, Silvia Cicconi, Hélène Langet, Gillian A. Levine, Girdhar Agarwal, Charles Festo, Tracy R. Glass, Anmol Jacob, Gaurav Kumar, Samwel Lwambura, Lena Matata, Abdallah Mkopi, Robert Moshiro, Fabian Schaer, Vineela Bandi, Leah F. Bohle, Mira Emmanuel-Fabula, Megan Horlacher, Susan Horton, John Maiba, Suzan Makawia, Naomi Masanja, Deusdedit Mjungu, Ibrahim E. Mtebene, Olgah Odek, Vânia Oliveira, Elena Pantjushenko, Elisabeth Reus, Michael Ruffo, Kovid Sharma, Helen Storey, Mansi Tyagi, Valérie D'Acremont, Honorati Masanja, Shally Awasthi, Kaspar Wyss, Agarwal Girdhar, Arimi Peter, Awasthi Shally, Ba Maymouna, Bandi Vineela, Beynon Fenella, Leah F. Bohle, Bulo Method, Cicconi Silvia, Cissé Magib, Clemence Zach, Cleveley Lisa, Cummings Ray, D'Acremont Valérie, Emmanuel-Fabula Mira, Faivre Vincent, Faye Mouhamadou Mansour, Faye Papa Moctar, Festo Charles, Tracy R. Glass, Gupta Kanishka, Harner-Jay Claudia, Horlacher (Shawcross) Megan, Horton Susan, Jacob Anmol, Keitel Kristina, Keith Bonnie, Kosgei Rose, Kumar Divas, Kumar Gaurav, Lalwani Tanya, Langet Hélène, Levine Gillian, Lwambura Samwel, Machoki James, Maiba John, Makawia Suzan, Mansi Tyagi, Martin Gregory, Masanja Honorati, Masanja Irene, Masanja Naomi, Matata Lena, Mhalu Grace, Miheso Andolo, Mjungu Deusdedit, Mkopi Abdallah, Moshiro Robert, Mtebene Ibrahim, Mugo Mercy, Ndiaye Ousmane, Ngari Kevin, Ngutu Mariah, Njiri Francis, Norris Martin, Odek Olgah, Oliveira Vânia, Onah Michael, Orschulko Anja, Oviedo Dickens, Pantjushenko Elena, Quintanar Solares Manjari, Rajaratnam Julie, Rastogi Tuhina, Reus Elisabeth, Ruffo Mike, Schär Fabian, Schaufelberger Sylvain, Sharma Kovid, Shauri Janet, Smith Lisa, Sougou Ndèye Marème, Storey Helen, Tan Rainer, Thabard Julian, Thiongane Aliou, Tine Jean Augustin Diégane, Vonlanthen Alan, Wyss Kaspar

“…Summary: Background: Pulse oximetry can support better detection of hypoxaemia, an important mortality predictor, and digital clinical decision support algorithms (CDSAs) can strengthen adherence to Integrated Management of Childhood Illness (IMCI) guidelines. …”
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Analysis of traumatic acute diaphragmatic injuries by İlhan Taş, Ebral Yiğit

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Farmers’ experiences of implementing cow-calf-contact systems on organic dairy farms by T. Hautzinger, E. Rauch, J. Kantwerk, P. Weindl, G. Busch, E. Zeiler

“…The success, i.e. transitioning to a CCC system and operating it for a longer period, seemed to depend on the farmer’s conviction, creativity and management skills to overcome the perceived barriers. …”
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