A Deep Learning-Based Trajectory and Collision Prediction Framework for Safe Urban Air Mobility by Junghoon Kim, Hyewon Yoon, Seungwon Yoon, Yongmin Kwon, Kyuchul Lee

“…As urban air mobility moves rapidly toward real-world deployment, accurate vehicle trajectory prediction and early collision risk detection are vital for safe low-altitude operations. …”
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Fault Identification Model Using Convolutional Neural Networks with Transformer Architecture by Yongxin Fan, Yiming Dang, Yangming Guo

“…However, this also introduces new challenges, particularly the inability of machines to autonomously detect and diagnose faults. Such undetected issues may cause unexpected breakdowns, interrupting critical operations, leading to economic losses and potential safety hazards. …”
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Early pregnancy diagnosis in cows using corpus luteum blood flow analysis based on colour Doppler ultrasonography and mRNA analysis by Malshani De Silva, Devinda Wickramasingha, Nirodha Abayalath, Basil Alexander, Missaka Wijayagunawardane, Kai Fai Lee, Suranga Kodithuwakku

“…Abstract Background Reproductive efficiency is paramount in the dairy industry, where early pregnancy detection of dairy cows will allow to detect the non-pregnant animals early, thus enabling to re-synchronize them and getting them pregnant leading to decrease in calving interval, which, in turn, is critical for maximizing productivity and economic gain. …”
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Gain efficiency with streamlined and automated data processing: Examples from high-throughput monoclonal antibody production. by Malwina Kotowicz, Magdalena Shumanska, Sven Fengler, Birgit Kurkowsky, Anja Meyer-Berhorn, Elisa Moretti, Josephine Blersch, Gisela Schmidt, Jakob Kreye, Scott van Hoof, Elisa Sánchez-Sendín, S Momsen Reincke, Lars Krüger, Harald Prüß, Philip Denner, Eugenio Fava, Dominik Stappert

“…We show that our approach streamlines data management operations, speeds up experimental cycles and leads to enhanced reproducibility. …”
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An explainable predictive model for anxiety symptoms risk among Chinese older adults with abdominal obesity using a machine learning and SHapley Additive exPlanations approach by Tengfei Niu, Shiwei Cao, Jingyu Cheng, Yu Zhang, Zitong Zhang, Ruiling Xue, Jingxi Ma, Qian Ran, Xiaobing Xian, Xiaobing Xian

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Geocoding Applications for Enhancing Urban Water Supply Network Analysis by Péter Orgoványi, Tamás Hammer, Tamás Karches

“…Geospatial tools and geocoding systems play an increasingly significant role in the modernization and operation of municipal water utility networks. This research explored how geocoding systems could improve network management, facilitate leak detection, and enhance hydraulic modeling accuracy. …”
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3D-CNN with Multi-Scale Fusion for Tree Crown Segmentation and Species Classification by Jiayao Wang, Zhen Zhen, Yuting Zhao, Ye Ma, Yinghui Zhao

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Moving Target Geolocation and Trajectory Prediction Using a Fixed-Wing UAV in Cluttered Environments by Yong Zhou, Dengqing Tang, Han Zhou, Xiaojia Xiang

“…The application of UAVs in surveillance, disaster management, and military operations has surged, necessitating robust and real-time tracking systems for moving targets. …”
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Thoracic Ultrasound in Cattle: Methods, Diagnostics, and Prognostics by Luis F. B. B. Feitoza, Brad J. White, Robert L. Larson

“…Thoracic ultrasonography (TUS) has emerged as a critical tool in the diagnosis and management of respiratory diseases in cattle, particularly bovine respiratory disease (BRD), which is one of the most economically significant health issues in feedyard operations. …”
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Unified Ecosystem for Data Sharing and AI-Driven Predictive Maintenance in Aviation by Igor Kabashkin, Vitaly Susanin

“…This paper introduces a unified ecosystem for data sharing and AI-driven predictive maintenance designed to address these challenges by integrating real-time and historical data from diverse sources, including aircraft sensors, maintenance logs, and operational records. The proposed ecosystem enables predictive analytics and anomaly detection, enhancing decision-making processes for airlines, maintenance, repair, and overhaul providers, and regulatory bodies. …”
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Crisis prevention as a chance for business recovery in the European Union by Đurić Đuro M., Jovanović Vladimir M., Jovanović Marija S.

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Irregular Migration as a Potential Source of Malaria Reintroduction in Sri Lanka and Use of Malaria Rapid Diagnostic Tests at Point-of-Entry Screening by Kolitha Wickramage, Gawrie N. L. Galappaththy, D. Dayarathne, Sharika L. Peiris, Rajeeka N. Basnayake, Davide Mosca, Jan Jacobs

“…Despite some limitations in detection, RDTs form an important point-of-entry assessment. …”
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How Can Business Analytics Enhance Decision-Making in Oil and Gas Surface Facilities? by Agung Prasetya, Meditya Wasesa, Yos Sunitiyoso

“…It identifies three levels of analytics—descriptive, predictive, and prescriptive—each addressing operational challenges through specific technologies. …”
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Machine Learning and Artificial Intelligence Techniques in Smart Grids Stability Analysis: A Review by Arman Fathollahi

“…Examination extends to stability, voltage and frequency regulation along with fault detection methods that highlight their applications in increasing smart grid operational boundaries. …”
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Small Scale Multi-Object Segmentation in Mid-Infrared Image Using the Image Timing Features–Gaussian Mixture Model and Convolutional-UNet by Meng Lv, Haoting Liu, Mengmeng Wang, Dongyang Wang, Haiguang Li, Xiaofei Lu, Zhenhui Guo, Qing Li

“…The application of intelligent video monitoring for natural resource protection and management has become increasingly common in recent years. …”
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Nanotechnological Advancements and Contribution to Healthcare and Medication Industries by Naresh Hazari, Manoj Kumar Aedula, Shashank Kyadagiri, Anshul Reddy Nenturi, Balaji Yadav Golla

“…Nanotechnology-enhanced wearable devices enable medical practitioners to monitor vital signs along with cancer cell condition detections and internal body infection detection which provides real-time essential information for treatment decisions. …”
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Lessonia-1 SAR time-series for identifying flooded areas by S. A. Lima, S. A. Lima, F. A. L. Costa, E. S. Bias, E. E. Sano

“…The catastrophic floods that hit Rio Grande do Sul, Brazil, in May 2024 underscored the urgent necessity for sophisticated flood monitoring and management methods. Notably, Synthetic Aperture Radar (SAR) satellite imagery has proven to be an essential resource for detecting flooded regions and evaluating the extent of flooding, even in challenging weather conditions. …”
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Tracing delay network in air transportation combining causal propagation and complex network by DaoZhong Feng, Bin Hao, JiaJian Lai

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Enhancing cloud security and deduplication efficiency with SALIGP and cryptographic authentication by J. K. Periasamy, S. Prabhakar, A. Vanathi, Liu Yu

“…However, it also presents major challenges, particularly in managing shared resources, ensuring data security, and controlling distributed applications in the absence of centralized oversight. …”
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NUTRITIONAL SUPPORT ASPECTS WITH FAST TRACK PROGRAMME IN PLANNED SURGERIES FOR COLON CANCER IN ELDERLY PATIENTS by G. N. Khrykov, E. Yu. Strukov, A. D. Khalikov

“…Treatment outcomes were analyzed for 400 elderly patients with colon cancer divided into two groups: main group (prospective n = 170), who were treated complying with optimized FTP and nutritional-metabolic therapy and control group (retrospective, n = 230), who were managed in the traditional way. Peri-operative nutritional-metabolic therapy in the main group included detection of those initially suffering from protein-calorie deficiency basing on changes in body mass loss and body weight index, and provision of integral nutritional support for them. …”
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