Vision-Guided Maritime UAV Rescue System with Optimized GPS Path Planning and Dual-Target Tracking by Suli Wang, Yang Zhao, Chang Zhou, Xiaodong Ma, Zijun Jiao, Zesheng Zhou, Xiaolu Liu, Tianhai Peng, Changxing Shao

“…With the global increase in maritime activities, the frequency of maritime accidents has risen, underscoring the urgent need for faster and more efficient search and rescue (SAR) solutions. This study presents an intelligent unmanned aerial vehicle (UAV)-based maritime rescue system that combines GPS-driven dynamic path planning with vision-based dual-target detection and tracking. …”
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WORK EXPERIENCE INTERNSHIP THROUGH THE EYES OF TECHNICAL UNIVERSITY STUDENTS (ON THE MATERIALS OF SOCIOLOGICAL RESEARCH) by Alexandr Yu. Myagkov, Maria V. Grigorieva, Irina V. Zhuravleva, Svetlana L. Zhuravleva

“…While carrying out of sociological research, selection of respondents was occurred on the multistage combined (serially-nested) model of sample among students I, III and V courses of six faculties of full-time course of ISPEU. …”
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Improving YOLOv11 for marine water quality monitoring and pollution source identification by Fang Wang

“…However, in complex underwater environments, challenges such as irregular pollutant shapes, varying scales, and background interference limit detection accuracy and robustness. …”
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Analysis of the Influence of Different Turbulence Models on the Prediction of Vehicle Aerodynamic Performance by Luwei Wang, Xingjun Hu, Peng Guo, Zirui Wang, Jingyu Wang, Yuqi Wang, Yan Ma, Ying Li, Jing Zhao, Xu Yang, Ruixing Ma, Yinan Zhu, Jianjiao Deng

“…Overall, the study clarifies the varying applicability of turbulence models in complex flows, and offers a basis for model selection and technical support for vehicle aerodynamic optimization. …”
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AI driven fault diagnosis approach for stator turn to turn faults in induction motors by Tamer A. Kawady, Wagdy M. Khater, Hagar G. Abu-Faty, Mohamed A. Izzularab, Mohamed E. Ibrahim

“…Recognizing that ITFs directly affect the motor’s current balance, complex current unbalance coefficient is identified and used as the key feature for detecting ITFs. …”
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Physical Assessment of an SDN-Based Security Framework for DDoS Attack Mitigation: Introducing the SDN-SlowRate-DDoS Dataset by Noe M. Yungaicela-Naula, Cesar Vargas-Rosales, Jesus Arturo Perez-Diaz, Eduardo Jacob, Carlos Martinez-Cagnazzo

“…Slow-read Distributed Denial of Service (DDoS) attacks are complex to detect and mitigate. Although existing tools allow one to identify these attacks, these tools mainly generate alerts. …”
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High-throughput end-to-end aphid honeydew excretion behavior recognition method based on rapid adaptive motion-feature fusion by Zhongqiang Song, Jiahao Shen, Qiaoyi Liu, Wanyue Zhang, Ziqian Ren, Kaiwen Yang, Xinle Li, Jialei Liu, Fengming Yan, Wenqiang Li, Yuqing Xing, Lili Wu

“…Addressing the challenges of suboptimal efficiency, inadequate real-time capability, and cumbersome operational procedures inherent in conventional manual and chemical detection methodologies, this research introduces an end-to-end multi-target behavior detection framework. …”
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Compensation-Based Full-Filed Thermal Homogenization for Contrast Enhancement in Long Pulse Thermographic Imaging by Yoonjae Chung, Chunyoung Kim, Seongmin Kang, Wontae Kim, Hyunkyu Suh

“…Long pulse thermography (LPT), a form of active thermographic testing (ATT), has gained attention for its ability to detect subsurface defects efficiently. However, non-uniform thermal excitation and environmental noise often degrade the accuracy of defect detection. …”
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Development of Model for Traffic Flows on Urban Street and Road Network by D. V. Kapskiy, D. V. Navoy, P. A. Pegin

“…The algorithm has been already implemented as part of the current automated traffic management system in the city of Minsk and it has shown its efficiency. However this efficiency can be increased if it is used together with an algorithm for searching maximum volume of motion in a cycle with a distributed intensity pulse. …”
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Evaluation of Models for Describing Photosynthetic Light–Response Curves and Estimating Parameters in Rice Leaves at Various Canopy Positions by Yangjie Guo, Yuping Lv

“…The photosynthetic light–response (<i>P</i>_n/<i>I</i>) curve is a crucial tool for accurately estimating photosynthetic parameters. However, selecting the most suitable model from numerous available light–response models is still difficult because of the complex canopy structure. …”
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Performance of multiple amplitudes differential space-time block coding scheme concatenated with channel coding by YU Xiang-bin1, ZHANG Sheng-nan1, BI Guang-guo2

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Optimizing of Universal DEA Model with Multi-Level Integration under Neutrosophic Environment by Hamiden Abd El- Wahed Khalifa, Loay Alkhalifa, Sultan S. Alodhaibi, Basma E. El- Demerdash

“…Possible restrictions, however, on applicability in very large data sets and computation time complexities would need further probing. …”
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Advanced deep learning architectures for enhanced mammography classification: a comparative study of CNNs and ViT by Shubhi Sharma, Yeshwant Singh, Tanupriya Choudhury

“…Abstract Breast cancer is a leading cause of mortality among women worldwide, and early detection via mammography is critical for improving patient outcomes. …”
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The Research Directed to Results of Activity of the Federal Innovative Platforms Forming Professional Competences of the Sphere of the State and Municipal Procurement Assessment by V. A. Shamakhov, L. G. Karanatova, A. M. Kuzmina

“…Results of the complex research directed to assessment of results of activity of the federal innovative platforms providing professional development and professional retraining of experts in the sphere of purchases of goods (works, services) for the state and municipal needs, conducted on the basis of the developed scientific and methodical model of monitoring of efficiency of their activity with use of technological tools for collecting, the analysis and data storage are presented in this article. …”
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Damage Localization Using Fiber Bragg Grating Sensors in Self-referencing Conguration: A Numerical Study by Abhishek Patange, Farzam Omidi Moaf, Piotr Fiborek, Adityan Arumuganainar, Rohan Nandkishor Soman

“…The proposed methodology reduces sensor requirements, lowers system complexity and cost, and enables efficient SHM solutions in extreme or large-scale environments. …”
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Flexible Job Shop Scheduling Optimization Using Genetic Algorithm For Handling Dynamic Factors by Masmur Tarigan, Ford Lumban Gaol, Tuga Mauritsius, Widodo Budiharto

“… This research introduces the Genetic Adaptive Scheduling System (GASS), a novel framework designed to optimize scheduling in Flexible Job Shop Scheduling Problems (FJSP). Due to its complexity, FJSP presents significant challenges stemming from machine flexibility, dynamic routing, and operation precedence constraints. …”
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Generating Synthetic Datasets with Deep Learning Models for Human Physical Fatigue Analysis by Arsalan Lambay, Ying Liu, Phillip Morgan, Ze Ji

“…This research aims to provide researchers with an innovative method to tackle data-driven ML challenges of data scarcity and further enhance ML technology’s efficiency through training on SD. This study not only provides an approach to create complex realistic datasets but also helps in bridging the gap of Industry 5.0 data challenges for the purpose of innovations and worker well-being by improving detection capabilities.…”
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Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications by Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique

“…Then, we analyze these methods based on their achieved CL desiderata, computational and memory costs, as well as network complexity, hence emphasizing the need for energy-efficient CL. …”
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Liposomal and Nanostructured Lipid Nanoformulations of a Pentacyclic Triterpenoid Birch Bark Extract: Structural Characterization and In Vitro Effects on Melanoma B16-F10 and Walke... by Dumitriţa Rugină, Mihai Adrian Socaciu, Madalina Nistor, Zorita Diaconeasa, Mihai Cenariu, Flaviu Alexandru Tabaran, Carmen Socaciu

“…<b>Methods</b>: Appropriate solvents were selected for efficient TTs extraction, and original recipes were used to obtain Pegylated liposomes and nanolipid complexes with entrapped TTs, comparative to pure standards (betulinic acid and doxorubicin) in similar conditions. …”
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A novel diagnostic framework for breast cancer: Combining deep learning with mammogram-DBT feature fusion by Nishu Gupta, Jan Kubicek, Marek Penhaker, Mohammad Derawi

“…Background and motivation: Breast cancer detection remains a critical challenge in medical imaging due to the complexity of tumor features and variability in breast tissue. …”
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