Inductive Construction of Variational Quantum Circuit for Constrained Combinatorial Optimization by Hyakka Nakada, Kotaro Tanahashi, Shu Tanaka

“…In this study, we propose a new method for constrained combinatorial optimization using variational quantum circuits. Quantum computers are considered to have the potential to solve large combinatorial optimization problems faster than classical computers. …”
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STARMAP: Spaceborne Target Acquisition Radar With Meta-RL Assisted Placement by Alireza Famili, Shihua Sun, Tolga Atalay, Angelos Stavrou

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Concept for Parameter Design and Optimization of Surface Acoustic Wave Devices by A. S. Koigerov, A. V. Korlyakov

“…Development of a methodological approach to creation of a technology of computer-aided design of SAW filters using optimization algorithms.Materials and methods. …”
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Certificateless Batch Authentication Scheme and Intrusion Detection Model Based on the Mobile Edge Computing Technology NDN-IoT Environment by Jianzhao Sun

“…Compared with the linear search algorithm, the algorithm proposed in this paper can significantly reduce the computation time.…”
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Crime Type Identification Using High-Order Deep Residual Network with Multiple Attention Algorithm by Dawei Qiu, Chang Liu, Yuangfeng Shang, Zixu Zhao, Jinlin Shi

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AI-based routing algorithms improve energy efficiency, latency, and data reliability in wireless sensor networks by Rahul Priyadarshi, Ravi Ranjan Kumar, Rakesh Ranjan, Padarti Vijaya Kumar

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Intelligent path planning algorithms for UAVs: Classification, complexity analysis, hybrid ablation insights, and future directions by Dradoum Alaa, Khelassi Abdelmadjid, Lachekhab Fadhila

“…This paper offers an overview of UAV path planning research founded on intelligent algorithms, which are divided into three categories: computational intelligence (CI), machine learning (ML), and hybrid methods. …”
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Use of Machine Learning Algorithms to Predict Almen (Shot Peening) Intensity Values of Various Steel Materials by Murat İnce, Hatice Varol Özkavak

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Nature Inspired Computational Technique for the Numerical Solution of Nonlinear Singular Boundary Value Problems Arising in Physiology by Suheel Abdullah Malik, Ijaz Mansoor Qureshi, Muhammad Amir, Ihsanul Haq

“…A fitness function representing the sum of the mean square error of the given nonlinear ordinary differential equation (ODE) and its boundary conditions is formulated. The optimization of the unknown adjustable parameters contained in the fitness function is performed by the hybrid heuristic computation algorithm based on genetic algorithm (GA), interior point algorithm (IPA), and active set algorithm (ASA). …”
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Genetic search method for design calculation of dimensional chains by V. V. Frolov

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AGC of a Multi‐Area Hydrothermal Interconnected Diverse Deregulated Power System Using a Proposed Novel SBOA‐Multi‐Level Fuzzy Logic‐Tilt Controller Incorporated With IPFC by Getaneh Mesfin Meseret, Nishant Kumar, Tarkesh Kumar Mahato, Rajesh Kumhar, Poonam Lakra, M. D. Mofeed Alam

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Optimization of Coulomb energies in gigantic configurational spaces of multi-element ionic crystals by Konstantin Köster, Tobias Binninger, Payam Kaghazchi

“…Employing an expansion into a binary optimization problem, we obtain an efficient Coulomb energy optimizer using Monte Carlo and Genetic Algorithms. …”
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RivAIr: A custom-designed UAV-based sensor for real-time water area segmentation and surface velocity estimation by Marco La Salandra, Rosa Colacicco, Simone Panza, Giovanni Fumai, Pierfrancesco Dellino, Domenico Capolongo

“…This self-contained, edge-computing module integrates custom hardware with real-time machine learning and optical flow algorithms, enabling onboard water segmentation and river surface velocity estimation. …”
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Coordinated Optimal Control of Secondary Cooling and Final Electromagnetic Stirring for Continuous Casting Billets by Dongsheng Wu, Zhenping Ji, Jian Yang, Hongwei Gao, Jiahui Yu, Zhaojie Ju

“…In this paper, a coordinated optimal control strategy based on a multiobjective particle swarm optimization (MOPSO) algorithm is proposed for the parameter optimization of secondary cooling and F-EMS, which is solved based on multiobjective particle swarm optimization (MOPSO) algorithm. …”
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Legendre based neural networks integrated with heuristic algorithms for the analysis of Lorenz chaotic model: an intelligent and comparative study by Khalid Masood, Muhammad Arshad, Muhammad Abubakar, Muhammad Naeem Aslam, Mohammed A. Alghamdi, Sultan H. Almotiri

“…Abstract The optimal control methods for managing Lorenz model are achieved using an innovative intelligent computing framework that integrates artificial neural networks with stochastic unsupervised learning-based optimizers, specifically Firefly (FA) and Archimedes algorithm (AOA). …”
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Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3. by Cristina Savin, Peter Dayan, Máté Lengyel

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Range and angle estimation with spiking neural resonators for FMCW radar by Nico Reeb, Javier Lopez-Randulfe, Robin Dietrich, Alois C Knoll

“…This research presents a novel spiking neuron model for signal processing of frequency-modulated continuous wave (FMCW) radars that outperforms the state-of-the-art spectrum analysis algorithms in latency and data bandwidth. These spiking neural resonators are based on the resonate-and-fire neuron model and optimized to dynamically process raw radar data while simultaneously emitting an output in the form of spikes. …”
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Improved adaptive FPGA dark channel prior dehazing algorithm for edge applications in agricultural scenarios by Qunpeng Gao, Baiquan Qian, Fengqi Yu, Liye Chen, Peng Gao, Jiatao Wu, Zonghong Li, Weixing Wang, C.V. Jiaxing Xie

“…The experimental results show that the optimized algorithm maintains superior dehazing quality (outperforming other dehazing algorithms in the field on metrics including PSNR, SSIM, and information entropy).…”
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Early Yield Prediction of Oilseed Rape Using UAV-Based Hyperspectral Imaging Combined with Machine Learning Algorithms by Hongyan Zhu, Chengzhi Lin, Zhihao Dong, Jun-Li Xu, Yong He

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Improved Rao-Blackwellized Particle Filter by Particle Swarm Optimization by Zeng-Shun Zhao, Xiang Feng, Yan-yan Lin, Fang Wei, Shi-Ku Wang, Tong-Lu Xiao, Mao-Yong Cao, Zeng-Guang Hou, Min Tan

“…So only a small number of particles are needed to participate in the required computation. The experimental results demonstrate that this novel algorithm is more efficient than the standard RBPF.…”
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