Schur Complement Optimized Iterative EKF for Visual–Inertial Odometry in Autonomous Vehicles by Guo Ma, Cong Li, Hui Jing, Bing Kuang, Ming Li, Xiang Wang, Guangyu Jia

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A hybrid ensemble framework with particle swarm optimization for network anomaly detection by Narinder Verma, Neerendra Kumar, Gourav Kumar, Kuljeet Singh

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Optimasi Biaya Distribusi pada HFVRP Menggunakan Algoritma Particle Swarm Optimization by Ismanitami Lukman, Rosmalina Hanafi Hanafi

“…This paper presents the application of the Particle Swarm Optimization (PSO) algorithm to minimize the travel distance and total cost of a Heterogeneous Fleet Vehicle Routing Problem (HFVRP). …”
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VSC Adaptive Nonuniform Sampling Approach for Resource Optimization in Networked Controlled System by Andrej Sarjaš, Dušan Gleich

“…Internal dynamic systems guarantee the stability property of the NCS and leverage resource optimization for nonuniform control algorithm execution. …”
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Cancer Diagnosis Optimization With a Combination of Flexible THz Antennas and Machine Learning by M. Senthil Pandian, S. Deepa Nivethika, J. Idhikash, Vamsee N. Yashwanth, Aishwarya Shaji, Prabhakaran Paulraj

“…Whereas, the same antenna was designed and simulated with a model replicating human tissue with tumor, radiating at 0.88 THz with a return loss of −38 dB and gain of 9.6 dB. The optimization of the decision was done using the combination of K‐means and logistic regression algorithm to determine 95.06% efficiency.…”
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Networked Sensor-Based Adaptive Traffic Signal Control for Dynamic Flow Optimization by Xinhai Wang, Wenhua Shao

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Arithmetic optimization based MPPT for photovoltaic systems operating under nonuniform situations. by Maheshwari Adaikkappan, Nageswari Sathiyamoorthy, Durga Devi Ravichandran, Karthikeyan Balasubramani, Sundararaju Karuppannan, Ramasamy Palanisamy, Zakaria M S Elbarbary, Saad F Al-Gahtani, Ahmed I Omar

“…This paper proposes a solution to this problem using an arithmetic optimization algorithm (AOA) for MPPT in PV systems operating in nonuniform situations. …”
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Research on Optimization of Railway Obstacle Detection Model Based on Neural Architecture Search by YAO Weiwei, LYU Yu, ZHANG Huiyuan, XIONG Minjun, DONG Wenbo, LI Chen

“…Furthermore, a comparison of expected performance scores across different models leads to the selection of the optimal option as the ultimate solution. Experimental results demonstrated that this method achieved an average accuracy of 0.711 and an average inference time of 6.12 ms per frame, significantly outperforming baseline models with equivalent computational loads.…”
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Application of Machine Learning for Bulbous Bow Optimization Design and Ship Resistance Prediction by Yujie Shen, Shuxia Ye, Yongwei Zhang, Liang Qi, Qian Jiang, Liwen Cai, Bo Jiang

“…Then, a convergence factor is introduced to balance the global and local search abilities of the whale algorithm to improve the convergence speed. The sample space is then iteratively searched using the improved whale algorithm. …”
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Grid Operation Enhancement via Network Topology Optimization With Sparse Tableau Formulation by Sogol Babaeinejadsarookolaee, Byungkwon Park, Bernard Lesieutre, Christopher L. DeMarco

“…This modification, which alters the geometry of the STF, reduces the computational complexity of the problem. The revised NTO model is subsequently tackled through an iterative algorithm. …”
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Color Dominance-Based Polynomial Optimization Segmentation for Identifying Tomato Leaves and Fruits by Juan Pablo Guerra Ibarra, Francisco Javier Cuevas de la Rosa, Alicia Linares Ramirez

“…A comparison of the interpolation method results with those obtained using a greedy algorithm, which iteratively finds the optimal segmentation values, shows nearly identical outcomes. …”
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A Sparse Optimization Approach for Energy-Efficient Timetabling in Metro Railway Systems by Ziyan Luo, Xiaoyu Li, Naihua Xiu

“…Comparison with the existing two-step linear program approach is also conducted which illustrates the effectiveness of our proposed sparse optimization model in terms of the energy saving rate and the efficiency of our numerical optimization algorithm in terms of computational time.…”
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Machine Learning-Driven Prediction of Vitamin D Deficiency Severity with Hybrid Optimization by Usharani Bhimavarapu, Gopi Battineni, Nalini Chintalapudi

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A Model-Based Optimization Method of ARINC 653 Multicore Partition Scheduling by Pujie Han, Wentao Hu, Zhengjun Zhai, Min Huang

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Quantum-Inspired Control Strategies for Reducing DC-Link Voltage Fluctuations in DFIG Wind Energy Converters by Sarika Shrivastava, Saifullah Khalid, Dinesh Kumar Nishad

“…The approach integrates quantum computing principles into classical control frameworks, creating a hybrid methodology that leverages quantum-inspired optimization while maintaining implementation feasibility on conventional hardware. …”
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Design and optimization of high-contrast gratings for multispectral VCSEL-SOI laser sources by I.S. Shashkin, M.I. Kondratov, A.E. Grishin, K.E. Pevchikh, S.O. Slipchenko, N.A. Pikhtin

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Review on the recent trends of food dryer technologies and optimization methods of drying parameters by Dawit Andualem Asrate, Addisu Negash Ali

“…Furthermore, tools with better optimization and prediction capabilities for various food types such as Computational Fluid Dynamics (CFD), ANSYS Multi-Objective Genetic Algorithm (MOGA), Adaptive Neuro-Fuzzy Inference Systems (ANFIS), Genetic Algorithm (GA)-tuned Artificial Neural Networks (ANN), Analysis of Variance (ANOVA), and Response Surface Methodology (RSM) are reviewed in detail. …”
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Accuracy–Efficiency Trade-Off: Optimizing YOLOv8 for Structural Crack Detection by Jiahui Zhang, Zoia Vladimirovna Beliaeva, Yue Huang

“…To address the accuracy–efficiency trade-off faced by deep learning models in structural crack detection, this paper proposes an optimized version of the YOLOv8 model. YOLO (You Only Look Once) is a real-time object detection algorithm known for its high speed and decent accuracy. …”
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Automatic melanoma detection using an optimized five-stream convolutional neural network by Vida Esmaeili, Mahmood Mohassel Feghhi, Hadi Seyedarabi

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Optimization-Based Downscaling of Satellite-Derived Isotropic Broadband Albedo to High Resolution by Niko Lukač, Domen Mongus, Marko Bizjak

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