Mathematical Model and Algorithm for Accurate Main Content Extraction From News Websites by Hamza Salem, Hadi Salloum, Manuel Mazzara

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Adaptive Multi-Scale Bayesian Framework for MFL Inspection of Steel Wire Ropes by Xiaoping Li, Yujie Sun, Xinyue Liu, Shaoxuan Zhang

“…Notably, our method showed superior performance in high-noise environments, reducing false positive rates while maintaining high detection sensitivity. While computational complexity in real-time processing remains a challenge, this study provides a robust solution for non-destructive testing of SWR, potentially improving inspection efficiency and defect localization accuracy. …”
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Unsupervised Cross-Domain Polarimetric Synthetic Aperture Radar (PolSAR) Change Monitoring Based on Limited-Label Transfer Learning and Vision Transformer by Xinyue Zhang, Rong Gui, Jun Hu, Jinghui Zhang, Lihuan Tan, Xixi Zhang

“…Accurate labels and supervised models are difficult to reuse between massive unlabeled time-series PolSAR data due to the complex distribution shifts caused by different imaging parameters, scene changes, and random noises. …”
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A Partitioned IRS-Aided Transmit SM Scheme for Wireless Communication by Liping Xiong, Yuyang Peng, Ming Yue, Haihong Wei, Runlong Ye, Fawaz AL-Hazemi, Mohammad Meraj Mirza

“…The theoretical analysis of average bit error rate (ABER) based on maximum likelihood (ML) detection and the computational complexity analysis are provided. …”
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Clinical Decision Support System for Liver Fibrosis Prediction in Hepatitis Patients: A Case Comparison of Two Soft Computing Techniques by Shaker El-Sappagh, Farman Ali, Amjad Ali, Abdeltawab Hendawi, Farid A. Badria, Doug Young Suh

“…The task of arriving at an accurate and timely diagnosis decision is always complex because of the dynamic, vagueness, and uncertainty associated with this disease. …”
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Risk-based approach to choosing the production asset management strategy for energy company by V. M. Levin, N. P. Guzhov, D. A. Boyarova

“…The tasks in this direction are quite relevant.PURPOSE: To develop a unified methodology that, from the general standpoint of a risk-based approach, would allow comparing two alternative strategies for managing the assets of an energy company "by periodicity, operating time" and "by technical condition", according to a set of key criteria for the effectiveness of M&R.METHODS: When solving problems, methods of forming and adjusting schedules for repairs of electrical equipment, calculating reliability and probabilities of failure in the power supply system of consumers, taking into account its circuit features, assessing the technical condition of equipment according to non-destructive testing and diagnostics, comparing the costs of maintaining and restoring reliability and damages from its violations were used.RESULTS: A risk-oriented methodology has been developed and verified, which makes it possible to evaluate and select the optimal equipment maintenance strategy for the energy company according to uniform efficiency criteria. …”
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Application of Machine Learning Technologies for Managing Multifactor Threats in an Integrated Model of Cognitive Security Center at Defense Industry Enterprise by Pavel Panilov, Tatiana Tsibizova

“…The presented innovative model of the cognitive security center, based on machine learning technologies, represents a significant advancement in effectively managing multifactor threats in defense-industrial complex enterprises. This article provides a detailed examination of key elements of this model, including data analysis, anomaly detection, threat response, classification and optimization, as well as the notification system. …”
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Identifying the role of route choice behavior of motorcycle riders in microscopic simulation modeling under mixed traffic conditions by Siti Raudhatul Fadilah, Hiroaki Nishiuchi, An Minh Ngoc

“…The results demonstrate significant improvements in network efficiency when informed route selection behaviors are facilitated, particularly with comprehensive coverage across all road types. …”
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A new deep learning-based fast transcoding for internet of things applications by Jia Yang, Yonghong Peng, Linbo Qing, Yajuan Xue, Hong Yang

“…Abstract To achieve low-power video communication in Internet of Things, this study presents a new deep learning-based fast transcoding algorithm from distributed video coding (DVC) to high efficiency video coding (HEVC). The proposed method accelerates transcoding by minimizing HEVC encoding complexity. …”
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Differential Evolution-Based End-Fire Realized Gain Optimization of Active and Parasitic Arrays by Rozita Konstantinou, Ihsan Kanbaz, Okan Yurduseven, Michail Matthaiou

“…The optimization process first maximizes the end-fire gain in the active array by selecting the optimal current excitation vector. For the parasitic arrays, the dipoles are reactively loaded based on the input impedances of the active dipoles, after which the optimization focuses on the inter-element distance to achieve a balance between the gain and the reflection efficiency. …”
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Features of assessing the investment attractiveness of high-tech projects by I. A. Mandych, A. V. Bykova, O. B. Gaiman

“…The general principles and approaches to methods of evaluating the efficiency were analyzed. A model of the priorities of high-tech projects was presented. …”
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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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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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