Power quality assurance in the electrical network of the Syrian Arab Republic, using the active power filter by R. R. Nasyrov, R. Aljendy, T. Kherbek

“…The set of characteristics that determine the power quality (PQ) can be used to describe the state and efficiency of the power supply system in terms of the influence of electromagnetic interference. The impact of electromagnetic interference on electrical equipment is manifested in the reduction of uptime, additional losses of active power, data loss, etc. …”
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A Space-Vector Analysis of the Twelve-Pulse Diode Bridge Rectifier Operation for the Auxiliary Circuit Current Determination Providing the Optimal Line Currents’ THD by Jaroslaw Rolek, Grzegorz Utrata

“…Three-phase diode bridge rectifiers are widely employed in various industrial applications because of their inherent simplicity, robustness, low electromagnetic interference and good overall performance. However, their use causes harmonic distortion in the electric power network line currents due to their nonlinear nature, which, in turn, affects the electric power quality. …”
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A Two-Stage Bin Packing Algorithm for Minimizing Machines and Operators in Cyclic Production Systems by Yossi Hadad, Baruch Keren

“…By using lower bounds, it is possible to assess whether the number of machines required by our model is optimal; if not, the optimality gap can be quantified. …”
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Use of a spatially distributed in-phase antenna to increase the noise immunity of signal reception by G. V. Kulikov, Yu. A. Polevoda, M. S. Kostin

“…The aim of the present work is to reduce the effect of multipath propagation of radio waves in the communication channel under complex interference conditions.Methods. The methods of statistical radio engineering and mathematical modeling are used according to optimal signal reception theory.Results. …”
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Spatial Characteristics and Influencing Factors of Human Settlement Environment in the Kuye River Basin by Zhonghua ZHANG, Hao WU

“…The quality of human settlement environment in river basin can be optimized by adjusting the density and length – width ratio of river network. …”
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A multi task learning framework using DeBERTa and BWO optimization for enhancing long term english vocabulary memory by Jiasheng Zhu

“…Compared with PSO (Particle Swarm Optimization), GA (Genetic Algorithm) and GWO (Grey Wolf Optimizer), BWO showed better English word memory rate in cross-domain tests and under cognitive interference. …”
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An ideally designed deep trust network model for heart disease prediction based on seagull optimization and Ruzzo Tompa algorithm by Yuan Jin, Yunliang Lai, Azadeh Noori Hoshyar, Nisreen Innab, Meshal Shutaywi, Wejdan Deebani, A. Swathi

“…The Ruzzo-Tompa method is used to eliminate noncontributory features. The Seagull Optimization Algorithm (SOA) is introduced to optimize the trust depth network to achieve optimal network design. …”
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Collaborative optimization design method for water injection layer division and injection-production fluid allocation in high water cut reservoirs by ZHANG Xianmin, LI Shanshan, FENG Qihong, LIU Chen, LIU Xiangbin

“…The results indicate that for high water cut reservoirs with severe interlayer physical property interference， the integrated fine optimization approach significantly outperforms the other standalone methods by optimizing layer division of layered water injection wells， fluid allocation， and injection-production fluid allocation of other wells. …”
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A New Family of Soft Single Switched DC-DC Converters with Lossless Passive Snubber by Shabnam Nasr Esfahani, Majid Delshad, Mohhamad Tavakoli

“…On one hand, the energy of the snubber is optimally transmitted to the output so that no significant losses are imposed on the converter. …”
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Optical Filter Design for Multi-Color VLC in Reflective Environments With Multiple Lighting Sources by Mehmet A. Kucuk, Cenk Albayrak, Kadir Turk, Halim Yanikomeroglu

“…The passband edges of the optical filter are optimized to maximize the average signal-to-interference-plus-noise ratio (SINR). …”
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Performance of STAR-RIS-Aided RSMA Networks: Impact of Correlated Fading Channels and SIC Imperfections by Eduardo Goncalves Gomes, Henry Ramiro Carvajal Mora, Edgar Eduardo Benitez Olivo

“…This work’s contributions provide a deeper understanding of the impact of correlated channels and imperfect SIC on STAR-RIS-aided networks, offering insights for optimizing performance under realistic deployment conditions.…”
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Adaptive multichannel detection-resolution of stochastic signals in conditions of parametric prior uncertainty by A. V. Filonovich, I. V. Vornacheva, N. A. Tuyakbasarova, A. S. Chernyshev

“…In this paper, the problems of synthesis of adaptive multichannel detection-resolution algorithms for stochastic signals of various structures under the influence of intense noise interference are considered. An integral element of the detection task is a joint assessment of the intensity of the useful signal and the correlation matrix of interference. …”
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Impact Evaluation of DME Beacons on BeiDou B2a Signal Reception Performance by Yicheng Li, Jinli Cui, Zhenyang Ma, Zhaobin Duan

“…This study developed a comprehensive interference evaluation model based on receiver signal processing principles to quantify the degradation of B2a signal reception performance under DME interference scenarios. …”
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An Integrated Model of Atom Search Optimization-Based Resonance Sparse Signal Decomposition and Cross-Validation SVM for Gearbox Fault Diagnosis by Fengfeng Bie, Yifan Wu, Ying Zhang, Jian Peng, Hongfei Zhu

“…In the aspect of gearbox fault diagnosis, the periodic pulse signal containing fault characteristics is often overwhelmed with other strong interference components, which brings a great challenge for gearbox fault detection and status identification. …”
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A hybrid GA-SA resource allocation scheme enhanced with SINR optimization for NOMA-MIMO systems in 5G networks by Murad Halabouni, Mardeni Roslee, Sufian Mousa Ibrahim Mitani, Osama M.S. Abujawa, Anwar Faizd Osman, Fatimah Zaharah Ali

“…Genetic Algorithm (GA) optimizes user pairing by evolving high-throughput configurations, while Simulated Annealing (SA) refines power allocation to maximize Signal-to-Interference-plus-Noise Ratio (SINR) and minimize interference. …”
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OPTIMIZATION OF SURGICAL APPROACH IN PATIENTS WITH TUMORS OF MOTOR ZONE OF THE CEREBRAL CORTEX ON THE BASIS OF TRANSCRANIAL MAGNETIC STIMULATION AND MAGNETIC RESONANCE TRACTOGRAPHY by A. Yu. Shcherbuk, M. E. Eroshenko, Yu. A. Shcherbuk

“…The neurosurgical interference was admitted as inappropriate in 3 (5,8%) patients. …”
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OM-VST: A video action recognition model based on optimized downsampling module combined with multi-scale feature fusion. by Xiaozhong Geng, Cheng Chen, Ping Yu, Baijin Liu, Weixin Hu, Qipeng Liang, Xintong Zhang

“…This model adds a multi-scale feature fusion module with an optimized downsampling module based on a Video Swin Transformer (VST) to improve the model's ability to perceive and characterize feature information. …”
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Efficient resource allocation for D2D-enabled social IoT networks: A tripartite and time-scale optimization approach by Saurabh Chandra, Rajeev Arya, Maheshwari Prasad Singh

“…In the densification of Device-to-Device (D2D)-enabled Social Internet of Things (SIoT) networks, improper allocation of resources can lead to high interference, increased signaling overhead, latency, and disruption of Channel State Information (CSI). …”
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Frequency Domain Sampling Optimization of Cable Defect Detection and Location Method Based on Exponentially Increased Frequency Reflection Coefficient Spectrum by Kuangyi Jiang, Kai Zhou, Xiang Ren, Yefei Xu

“…The existing linear frequency increment cable defect detection method using frequency domain reflectometry suffers from severe pseudo-peak phenomena due to non-targeted frequency domain sampling, which interferes with diagnosis. To address this issue, this paper proposes an optimized frequency domain sampling method based on the exponential frequency increment reflection coefficient spectrum. …”
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A Ship Heading Estimation Method Based on DeepLabV3+ and Contrastive Learning-Optimized Multi-Scale Similarity by Weihao Tao, Yasong Luo, Jijin Tong, Qingtao Xia, Jianjing Qu

“…To address the challenge of heading estimation from horizontal-view optical images, this study proposes a novel framework integrating DeepLabV3+ image segmentation with contrastive-learning-optimized multi-scale similarity matching. First, a cascaded image preprocessing method is developed, incorporating linear transformation, bilateral filtering, and the Multi-Scale Retinex with Color Restoration (MSRCR) algorithm to mitigate noise and haze interference and enhance image quality with improved target edge clarity. …”
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