Channel estimation method based on compressive sensing for FBMC/OQAM system by Weina YUAN, Qiu YAN

“…In mobile-to-mobile sensor networks,the channel estimation for FBMC/OQAM system can be investigated as a compressive sensing problem to raise frequency spectrum efficiency by exploiting the sparse nature of wireless channels.Firstly,a novel orthogonal matching pursuit algorithm with selection weak strategy and regularization based on Tanimoto coefficient (T-SWROMP) was proposed to improve the accuracy of LS channel estimation.Then,T-SWROMP methods with auxiliary pilot and coding were used to estimate channel frequency response for FBMC/OQAM system.The experimental results demonstrate the proposed method has lower complexity than the traditional SWOMP method.In addition,it achieve best performance among the traditional OMP,SWOMP and ROMP methods under dual-selective channels.…”
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Gradient Boosting Feature Selection for Integrated Fault Diagnosis in Series-Compensated Transmission Lines by Rab Nawaz, Abdul Wadood, Khawaja Khalid Mehmood, Syed Basit Ali Bukhari, Hani Albalawi, Aadel Mohammed Alatwi, Muhammad Sajid

“…The integration of feature extraction with efficient gradient-boosting feature selection ensures high accuracy, speed, and computational efficiency, thus outperforming techniques that require heavy preprocessing. …”
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Efficient removal of lipophilic compounds from sewage sludge: Comparative evaluation of solvent extraction techniques by Basanti Ekka, Inese Mierina, Ruta Zarina, Linda Mezule

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MSF-GhostNet: Computationally Efficient YOLO for Detecting Drones in Low-Light Conditions by Maham Misbah, Misha Urooj Khan, Zeeshan Kaleem, Ali Muqaibel, Muhamad Zeshan Alam, Ran Liu, Chau Yuen

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A data-driven hybrid framework for voltage transformer ratio error prediction: Addressing challenges in complex power systems by Jiuxi Cui, Zhenhua Li, Heping Lu, Feng Zhou, Haoyu Chen, Zhenxing Li

“…Then, the Maximum Information Coefficient (MIC) quantifies the nonlinear relationship between environmental factors and ratio errors, reducing redundant features. …”
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CHARACTERISTICS OF THE VARIETIES AND LINES OF WINTER WHEAT OBTAINED IN ARRIGC NAMED AFTER I.G. KALINENKO ON RESISTANCE TO A COMPLEX OF PATHOGENS OF ECONOMICALLY VALUABLE DISEASES by G. V. Volkova, O. Yu. Kremneva, Yu. V. Shumilov, Е. V. Sinyak, O. F. Vaganova, E. S. Segeda, D. M. Marchenko, N. E. Samofalova, O. V. Skripka, T. G. Derova

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LiMMCov: An interactive research tool for efficiently selecting covariance structures in linear mixed models using insights from time series analysis. by Perseverence Savieri, Lara Stas, Kurt Barbé

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Polish Farmers′ Perceptions of the Benefits and Risks of Investing in Biogas Plants and the Role of GISs in Site Selection by Anna Kochanek, Józef Ciuła, Mariusz Cembruch-Nowakowski, Tomasz Zacłona

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Research on the GST gene family in Salix lindleyana reveals Trp162 and Pro202 as key amino acids controlling the release rate of GS-X by Nan Xu, Yu-Wen Wang, Chang Qu, Zhao-Qun Wu, Xiu-Xing Zhang, Shi-Yi Wang, Ye-Bo Yang, Jing Xue, Hai-Ling Yang

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Taylor-Spotted Cat Optimization (Taylor-SCO): An Energy-Efficient Cluster Head Selection Algorithm with Improved Trust Factor for Data Routing in WSN by Shivaraj Kalburgi, M. Manimozhi

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Investigating the efficacy of bioactive compounds from selected plant extracts against Gibberella fujikuroi species complex associated with damping off disease in sweet corn by Alyaa Abd Ali, Ayoob Obaid Alfalahi, Aalaa Khudhair Hassan, Ahlam Khalofah, Eilyn Mena, Abdelfattah A. Dababat, Fouad Mokrini

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Efficient AI-Driven Query Optimization in Large-Scale Databases: A Reinforcement Learning and Graph-Based Approach by Najla Sassi, Wassim Jaziri

“…As data-centric applications become increasingly complex, understanding effective query optimization in large-scale relational databases is crucial for managing this complexity. …”
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Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks by Yangchen Li, Lingzhi Zhao, Tianle Wang, Lianghui Ding, Feng Yang

“…Numerical results demonstrate the effectiveness and advantages of the proposed frameworks in enhancing FL efficiency.…”
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Kin Competition Drives the Evolution of Earlier Metamorphosis by Bing Dong, Andy Gardner

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Identification of new inhibitors of the kinase acti­vity of CDK2 and CDK9 by molecular modeling and high-efficiency screening by G.V. Andrianov, I.G. Serebriiskii

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Strategic Spatial Segregation in Silicon Photoelectrodes: Decoupling Catalytic and Optical Functions for High‐Efficiency Solar Water Splitting by Soohyeok Park, Dongho Seo, Sangbeom Hong, Geonhwi Kim, Yejin Han, Inkyeong Park, Seongmin Lee, Min‐Joon Park, Ki Min Nam, Han‐Don Um

“…Furthermore, a scalable fabrication strategy is developed utilizing controlled wet etching and selective catalyst deposition, enabling precise realization of these complex architectures. …”
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EXPERIMENTAL DETERMINATION OF CONVECTIVE HEAT TRANSFER COEFFICIENTS IN THERMAL BUOYACY VENTILATION SYSTEM by D. V. Abramkina, A. A. Abramyan, E. R. Shevchenko-Enns

“…The main goal of the article is to present the developed method for the experimental determination of convective heat transfer coefficients, suitable for studying the internal convection of models of complex configuration. …”
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CFRP flexible manufacturing with superior quality and efficiency using a versatile spatially shaped femtosecond laser by Xueqiang Zhang, Xin Li, Yunduo Wang, Qimeng Song, Yiwen Li, Kaihu Zhang, Mengyao Tian, Yibo Lu, Xiaorui Li, Sumei Wang, Lan Jiang

“…Unlike traditional Gaussian lasers, the spatially shaped laser fields with precisely regulated energy distribution, shape and size are tailored for general-purpose CFRP manufacturing while ensuring superior processing quality and efficiency. For selective removal, the energy homogenization and size regulation enable the complete removal of surface resin without damaging the carbon fibers, demonstrating a 33.4-fold increase in effective scanning width. …”
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Isolation and Optimization of Phages Infecting Members of the <i>Streptococcus bovis</i>/<i>Streptococcus equinus</i> Complex by Jenny Laverde Gomez, Cory Schwarz, Marina Tikhonova, Clark Hamor, Yizhi J. Tao, Pedro J. J. Alvarez, Jacques Mathieu

“…Optimizing the ruminal microbiome to enhance feed efficiency could help address both challenges. Members of the <i>Streptococcus bovis</i>/<i>Streptococcus equinus</i> complex (SBSEC) are key contributors to ruminal acidosis and related digestive disorders due to their role in carbohydrate fermentation and lactic acid production. …”
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A Fast Satellite Selection Method Based on the Multi-Strategy Fusion Grey Wolf Optimization Algorithm for Low Earth Orbit Satellites by Wei Lv, Mingjian Chen, Xingyu Shi, Yuxing Li, Yang Shen, Wanli Li, Shuai Tong

“…The traditional satellite selection algorithms have the problems of high computational complexity and significant hardware dependence. …”
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