Energy efficiency optimization study of sub-connected ARIS-assisted ISAC system over millimeter wave channels by WU Xiangkai, YUE Dianwu, YUAN Meng, XU Miao, YANG Jianing

“…The system energy efficiency was maximized by optimizing the beamform for dual-function base station, the phase shift matrix of sub-connected ARIS and the vector of amplification factors for sub-connected ARIS under the user’s minimum signal to interference plus noise ratio and the constraint of radar detection power. …”
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Optimization of the wireless intercom system for overhead covered depots for electric trains and design of digital-analog compatible relays by WANG Weili

“…Simultaneously, self-excited interference elimination was realized and a set of system equipment suitable for railway depots for electric trains was innovated, enabling the system to meet the demand for direct intercom communication among personnel across the entire ultra-large area. …”
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Robust UAV-Oriented Wireless Communications via Multi-Agent Deep Reinforcement Learning to Optimize User Coverage by Mahfizur Rahman Khan, Gowtham Raj Veeraswamy Premkumar, Bryan Van Scoy

“…In this study, we deploy drones as dynamic base stations to address the issue of optimizing user coverage in areas without fixed base station infrastructure. …”
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Implementation of Discrete Wavelet Combined Bayesian-Optimized Gaussian Process Regression-Based SOC Prediction of EV Battery by Vedhanayaki Selvaraj, Indragandhi Vairavasundaram, D. Obuli Pranav, Shubhi Shukla, Bragadeshwaran Ashok

“…The performance of estimation algorithms reduced due non-Gaussian measurement noise generated due to electromagnetic interference and sensor errors. In order to address this, DWT is proposed in this study together with Bayesian optimized Gaussian process regression. …”
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Two-Stage Power Allocation for IRS-Assisted Downlink NOMA: Intra-Group Optimization and Inter-Group Allocation by Zaid Albataineh, Haythem Bany Salameh, Mohammad Al Bataineh

“…The first stage performs intra-group optimization, jointly adjusting user-level power allocation and IRS phase shifts to minimize power consumption while meeting QoS requirements based on an iterative optimization procedure. …”
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A Principal Component Analysis-Based Feature Optimization Network for Few-Shot Fine-Grained Image Classification by Meijia Wang, Boyuan Zheng, Guochao Wang, Junpo Yang, Jin Lu, Weichuan Zhang

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Robust GNSS/INS Tightly Coupled Positioning Using Factor Graph Optimization with P-Spline and Dynamic Prediction by Bokun Ning, Fang Zhao, Haiyong Luo, Dan Luo, Wenhua Shao

“…Additionally, environmental interference introduces noise into observations, potentially leading to complete signal loss. …”
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Active Disturbance Rejection Control over Superheated Steam Temperature Based on Multi-objective Particle Swarm Optimization by Haiming NIU, Jiao YU, Changfu DING, Zhaohui WANG, Bin TIAN

“…The test and engineering applications show that the ADRC-LADRC control strategy based on multi-objective particle swarm optimization algorithm has better control performance and strong anti-interference capability. …”
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Assessment and Optimization of Ecological Networks in Trans-Provincial Metropolitan Areas—A Case Study of the Xuzhou Metropolitan Area by Yijia Zhao, Peiyuan Zhang, Hao Xu, Wei Liu

“…The spatiotemporal patterns and components of the ecological network of the Xuzhou metropolitan area from 1990 to 2020 were assessed, and an optimization analysis was performed based on the current ecological network. …”
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Secure and Intelligent Single-Channel Blind Source Separation via Adaptive Variational Mode Decomposition with Optimized Parameters by Meishuang Yan, Lu Chen, Wei Hu, Zhihong Sun, Xueguang Zhou

“…To address this challenge, we propose a secure and intelligent SCBSS algorithm leveraging adaptive VMD optimized with Improved Particle Swarm Optimization (IPSO). …”
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Sustainable Urban Mobility: Corridor Optimization to Promote Modal Choice, Reduce Congestion, and Enhance Livability in Hyderabad, Pakistan by Mehnaz Soomro, Irfan Ahmed Memon, Imtiaz Ahmed Chandio, Saima Kalwar, Hina Marvi, Aneel Kumar, Afraz Ahmed Memon

“…This research aims to optimize corridors in Hyderabad, Sindh, to promote modal choice, reduce congestion, and enhance livability. …”
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Optimizing the Shape of Signals with Quadrature Amplitude Modulation According to the Criterion of Given Reduction Rate of Out-of-Band Emissions by S. B. Makarov, S. V. Zavjalov, A. S. Ovsyannikova

“…It was established that, in a channel with additive white Gaussian noise, optimal signals with a signal constellation size of 64 in the case of quadrature amplitude-phase modulation provide an energy gain of more than 1 dB relative to signals obtained by narrowband filtering under the conditions of uncontrolled intersymbol interference. …”
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Enhancing intrusion detection in wireless sensor networks using a Tabu search based optimized random forest by Vivek Kumar Pandey, Shiv Prakash, Tarun Kumar Gupta, Priyanshu Sinha, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang, Sabeen Tahir, Sheikh Tahir Bakhsh

“…This work presents an enhanced intrusion detection approach by integrating Tabu Search (TS) optimization with a RF classifier. As a result, TS will help RF automatically search optimal hyperparameters and improve the generalization ability. …”
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Parameter Optimization of a Temperature and Relative Humidity Based Transmission Power Control Scheme for Wireless Sensor Networks by César Ortega-Corral, Luis E. Palafox, J. Antonio García-Macías, Jaime Sánchez-García, Leocundo Aguilar, Juan Iván Nieto-Hipólito

“…Furthermore, in order to develop an understanding of the nonlinear behavior that we observed from this TRH TPC scheme, we developed a simulation platform that uses real radio frequency (RF) signal and interference samples and actual T and RH sensor data acquired simultaneously. …”
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Sidelobe Level Suppression in Linear and Planar Phased Arrays Using Grey Wolf Optimization With Local Search Refinements by Muhammad Athallah Adriansyah, Aditya Inzani Wahdiyat, Ismi Rosyiana Fitri, Noor Asniza Murad, Catur Apriono

“…Phased array antennas play a critical role in satellite communication systems, where minimizing peak sidelobe levels (PSLL) is essential to prevent interference and enhance signal quality. This paper presents a novel hybrid optimization approach, grey wolf optimizer with Nelder-Mead local search (GWO-NM), to suppress PSLL effectively in both linear antenna arrays (LAA) and planar antenna arrays (PAA). …”
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Feasibility pilot of a novel coaching intervention to optimize cannabis use for chronic pain management among Veterans by Kevin F. Boehnke, Gabrielle Bowyer, Jenna McAfee, Tristin Smith, Catherine Klida, Vivian Kurtz, Evangelos Litinas, Poonam Purohit, Anne Arewasikporn, Dana Horowitz, Laura Thomas, Jennifer Eckersley, Mia Railing, David A. Williams, Daniel J. Clauw, Kelley M. Kidwell, Amy S. B. Bohnert, Rachel S. Bergmans

“…We conducted a feasibility pilot study of a novel coaching intervention to help Veterans optimize use of medical cannabis products for pain management (NCT06320470). …”
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Optimization design of liquid crystal-based reconfigurable intelligent surface-assisted indoor visible light communication systems by Lisu YU, Xinxin LÜ, Run ZHONG, Mingli ZHANG, Zhenghai WANG, Yuhao WANG

“…These findings provide an important reference for the design and optimization of indoor VLC systems.…”
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Research on intra-day multi-objective operation control of distribution network system under quantum communication optimization by QIAN Hao, DONG Zhihui, XIANG Jundong, ZHENG Jiewen, TANG Zhipeng, GUO Qiang

“…In order to solve this multi-objective collaborative optimization model, the imperial competition algorithm is combined with genetic algorithm, and the concept of quantum state probability is introduced. …”
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Enhanced recurrent attention-deep Q learning with optimal node constrains and effective penalty based model for data transmission scheduling on wireless sensor networks by D.R. Anita Sofia Liz, Yesubai Rubavathi C

“…This technique performs dynamic scheduling of data transmission tasks considering energy consumption and network interference by combining a penalty-based model, optimal node limitations, and recurrent attention techniques. …”
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Optimal location selection for digital television signal booster towers in poorly covered areas: application of the EDIS multi-criteria decision-making method by Mehdi Soltanifar

“…The method considers various cost and benefit criteria, including annual maintenance cost, tower price, signal sensitivity and boosting power, unmet quality standards, operator complexity level, and interference resistance, to determine the most suitable locations for tower placement.Findings: The application of the EDIS method to a real-world case study demonstrates significant improvements in decision-making accuracy and efficiency over existing methods, offering enhanced support for optimal decision-making in the placement of digital television signal booster towers.Originality/Value: The proposed EDIS method presents a novel multi-criteria decision-making tool that combines innovative features with advanced optimization capabilities. …”
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