Closely Spaced Multi-Target Association and Localization Using BR and AOA Measurements in Distributed MIMO Radar Systems by Zehua Yu, Ziyang Jin, Ting Sun, Jinshan Ding, Jun Li, Qinghua Guo

“…To address this, we formulate the objective function as a form of the product of certain local functions, and we design a factor graph-based iterative message-passing algorithm. The message-passing algorithm dynamically approximates the complex local functions involved in the problem, delivering excellent performance while maintaining low complexity. …”
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Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle by Tulin Li, Xiufeng Zhang, Yingbo Huang, Chunxi Yang

“…Subsequently, this identification result can be used as feedback for the heuristic algorithm to optimize and plan the USV’s path. The simulation results indicate that the developed model achieves an 80% reduction in model size while maintaining an accuracy exceeding 90%. …”
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Meta-heuristic-based offloading task optimization in mobile edge computing by Aamir Abbas, Ali Raza, Farhan Aadil, Muazzam Maqsood

“…In this article, we proposed an optimal selection of offloading tasks using well-known metaheuristics, ant colony optimization algorithm, whale optimization algorithm, and Grey wolf optimization algorithm using variant design of these algorithms according to our problem through mathematical modeling. …”
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Simultaneous Multi-Objective and Topology Optimization: Effect of Mesh Refinement and Number of Iterations on Computational Cost by Daniel Miler, Matija Hoić, Rudolf Tomić, Andrej Jokić, Robert Mašović

“…The multi-objective algorithm dynamically adjusts domain size, support locations, and load magnitudes during optimization. …”
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Lithology Identification of Buried Hill Reservoirs Based on Support Vector Machine by GAO Yongde, WU Jinbo, SUN Dianqiang

“…To address this issue, we selecte the HZ depression as the study area and propose a lithology identification model based on the support vector machine (SVM) algorithm. SVM is well-suited for handling high-dimensional data and exhibits strong generalization capability, while being relatively simple to implement, making it ideal for identifying complex reservoir lithology. …”
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A Bio-Optimization Approach for Renewable Energy Management: The Case of a University Building in a Tropical Climate by Orlando Aguilar Pinzón, Orlando Aguilar Gallardo, Miguel Chen Austin

“…These findings highlight some of the challenges with integrating renewable energy systems into existing buildings while showcasing the potential of biomimetic algorithms, like the PSO and the GA, for targeted optimization tasks. …”
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MultS-ORB: Multistage Oriented FAST and Rotated BRIEF by Shaojie Zhang, Yinghui Wang, Jiaxing Ma, Jinlong Yang, Liangyi Huang, Xiaojuan Ning

“…The proposed method preserves all the advantages of the traditional ORB algorithm while significantly improving feature matching accuracy under illumination-induced blurring. …”
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A System for Real-Time Detection of Abandoned Luggage by Ivan Vrsalovic, Jonatan Lerga, Marina Ivasic-Kos

“…To do this, we use an adapted YOLOv11-s model and a proposed algorithm for detecting unattended luggage. The system uses the OpenCV library for the video processing of the recorded footage, a detector, and an algorithm that analyzes the movement of a person and their luggage and evaluates their spatial and temporal relationships to determine whether the luggage is truly abandoned. …”
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ADAM-DETR: an intelligent rice disease detection method based on adaptive multi-scale feature fusion by Hanyu Song, Xinyue Huang, Ziqiang Wang, Jianwei Hu, Huasheng Zhang, Hui Yang

“…Abstract Rice diseases pose a severe threat to global food security, while traditional detection methods suffer from low efficiency and dependence on manual expertise. …”
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Streamlined Model Predictive Control for a Triple-Optimization of Thermal Comfort, Heating Costs, and Photovoltaic Self-Consumption by Vukasin Klepic, Magdalena Wolf, Tobias Proll

“…The developed and extended MPC algorithm is simulated and validated using Matlab/Simulink. …”
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A Particle Swarm Optimization-Based Ensemble Broad Learning System for Intelligent Fault Diagnosis in Safety-Critical Energy Systems with High-Dimensional Small Samples by Jiasheng Yan, Yang Sui, Tao Dai

“…To address the aforementioned challenge, this paper proposes an innovative IFD method for SCES that combines the particle swarm optimization (PSO) algorithm and the ensemble broad learning system (EBLS). …”
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Investigating Motion Data Selections Based on Patient-Specific Respiration Pattern at External Surrogates Radiotherapy Using Cyberknife Synchrony Respiratory Tracking System by Seyed Amirreza Dastyar, Ahmad Esmaili Torshabi

“…As example, for a patient with high motion variability while the number of critical data points recognized by our algorithm is significant, the targeting error with and without utilizing these data points are 4.4 mm and 6.6 mm, respectively. …”
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Energy management strategies for hybrid diesel vehicles by dynamic planning embedded in real-world driving emission model by Yingzhang Wang, Li Zhang, Yang Chen, Chaokai Li, Baocheng Du, Jinlin Han

“…The real-world driving emission model is then embedded into the dynamic planning algorithm using a bi-variate interpolation algorithm on the state-space plane. …”
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Physics-Informed Multi-Agent DRL-Based Active Distribution Network Zonal Balancing Control Strategy for Security and Supply Preservation by Bingxu Zhai, Yuanzhuo Li, Wei Qiu, Rui Zhang, Zhilin Jiang, Wei Wang, Tao Qian, Qinran Hu

“…In this paper, a multi-level control framework based on a local physical model and a multi-agent sequential update algorithm is proposed. The framework generates parameters through an upper-layer reinforcement learning algorithm, which are passed into the objective function of the lower-layer local physical model. …”
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Joint Active/Passive Beamforming Optimization via RWMMSE and Gradient Projection for Downlink IRS-Aided MU-MISO Systems by Seraphin F. Kimaryo, Eduard E. Bahingayi, Kyungchun Lee

“…The GP framework is enhanced with a Barzilai-Borwein method for the step size selection that ensures a fast convergence of the proposed algorithm, resulting in lower complexity. Ultimately, the numerical findings confirm our assertion, demonstrating the efficacy of our suggested algorithm in achieving performance similar to benchmark methods while significantly reducing complexity.…”
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European sovereign debt control through reinforcement learning by Tato Khundadze, Willi Semmler, Willi Semmler, Willi Semmler

“…The resilience of economic systems depends mainly on coordination among key stakeholders during macroeconomic or external shocks, while a lack of coordination can lead to financial and economic crises. …”
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Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces Empowered Cooperative Rate Splitting with User Relaying by Kangchun Zhao, Yijie Mao, Yuanming Shi

“…Moreover, the proposed low-complexity algorithm dramatically reduces the computational complexity while achieving very close performance to the AO method.…”
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A Review of Knowledge Distillation in Object Detection by Shengjie Cheng, Qiuxia Zhao, Xinyun Zhang, Nurbiya Yadikar, Kurban Ubul

“…Although target detection has been developed to a high level and can be deployed for applications in several fields, there are still some problems in practice, such as the two-phase detection algorithm has high detection accuracy but slow detection speed, while the one-phase detection algorithm is fast, but its accuracy is poor. …”
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Multi-Dimensional Motion Parameter Estimation of a Rotating Object Based on Orbital Angular Momentum by Bowen He, Kun Tang, Guiping Jin, Yuehui Cui

“…Then, an iterative phase retrieval algorithm is introduced to obtain the angular velocity. …”
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IMU-aided adaptive mesh-grid based video motion deblurring by Ahmet Arslan, Gokhan Koray Gultekin, Afsar Saranli

“…Motion blur is a problem that degrades the visual quality of images for human perception and also challenges computer vision tasks. While existing studies mostly focus on deblurring algorithms to remove uniform blur due to their computational efficiency, such approaches fail when faced with non-uniform blur. …”
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