A proximal policy optimization based deep reinforcement learning framework for tracking control of a flexible robotic manipulator by Joshi Kumar V, Vinodh Kumar Elumalai

“…This paper puts forward a policy feedback based deep reinforcement learning (DRL) control scheme for a partially observable system by leveraging the potentials of proximal policy optimization (PPO) algorithm and convolutional neural network (CNN). …”
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Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means. by Yuhang Zhang, Xiaofeng Wu, Jiawei Xu, Zihao Ning, Xiao Han

“…We introduce a fuzzy C-means clustering method enhanced by quantum particle swarm optimization (QPSO) to manage data uncertainties, improving classification accuracy and convergence speed. …”
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Optimization of the Cathode Arc Plasma Deposition Processing Parameters of ZnO Film Using the Grey-Relational Taguchi Method by Shuo-Fu Hsu, Jyh-Horng Chou, Chun-Hsiung Fang, Min-Hang Weng

“…The Taguchi method with an L9 orthogonal array, signal-to-noise (S/N) ratio, and analysis of variance (ANOVA) is employed to investigate the performances in the deposition operations. The effect and optimization of deposition parameters, comprising the Ar : O2 gas flow ratio of 1 : 6, 1 : 8, and 1 : 10, the arc current of 50 A, 60 A, and 70 A, and the deposition time of 5 min, 10 min, and 15 min, on the electrical resistivity and optical transmittance of the ZnO films are studied. …”
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Re-locative guided search optimized self-sparse attention enabled deep learning decoder for quantum error correction by Umesh Uttamrao Shinde, Ravikumar Bandaru

“…While many topological code decoders have been presented, it is still difficult to construct the optimal decoder due to leakage errors and qubit collision. …”
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Carbon Emission Evaluation and Low Carbon Economy Optimization Scheduling of Rural Integrated Energy System Based on LCA Method by Chunxiao Wu

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Development of Energy-Efficient Routing Protocol in Wireless Sensor Networks Using Optimal Gradient Routing with On Demand Neighborhood Information by K. Nattar Kannan, B. Paramasivan

“…It optimizes the number of hops for packet forwarding to the sink node which gives a better solution for energy consumption and delay. …”
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Optimization and loss estimation in energy-deficient polygeneration systems: A case study of Pakistan's utilities with integrated renewable energy by Muhammad Shoaib Saleem, Naeem Abas

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The Optimal Taxi Fleet Size Structure under Various Market Regimes When Charging Taxis with Link-Based Toll by Jincheng Zhu, Bin Shuai, Zhengfeng Huang, Chaoyuan Sun

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Optimization of Fruiting Body Production of Three Kinds Edible Mushrooms Species by Innovate the Incubation Time and Number of Rips on Baglog by Denny Irawati, Naresvara Nircela P, Febe Margareta RM, J.P. Gentur Sutapa

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Research on integrated injection-production optimization technology of electric submersible pump for Bohai oilfield heavy oil thermal recovery by Li Menglong, Yu Jifei, Hao Tongchun, Cao Yanfeng, Yang Yang, Yan Xinjiang, Liu Zhilong, Liu Fengxun, Li Lingxi, Dong Shichao

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Optimizing Tuberose (<i>Polianthes tuberosa</i> L.) Production Using Mycorrhiza and Biostimulants to Enhance Water-Deficit Tolerance by Mahdyeh Saravani, Abdolrahman Rahimian Boogar, Mehdi Aran, Dariush Ramezan, Meisam Zargar, Simbo Diakite

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Enhancing Fault Detection and Classification in MMC-HVDC Systems: Integrating Harris Hawks Optimization Algorithm with Machine Learning Methods by Omar Hazim Hameed Hameed, Uğurhan Kutbay, Javad Rahebi, Fırat Hardalaç, Ibrahim Mahariq

“…Voltage and current features are extracted and optimized using a metaheuristic approach, specifically Harris Hawk’s optimization method. …”
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Parametric Estimation of Directional Wave Spectra from Moored FPSO Motion Data Using Optimized Artificial Neural Networks by Do-Soo Kwon, Sung-Jae Kim, Chungkuk Jin, MooHyun Kim

“…Artificial neural networks (ANNs), trained and optimized through hyperparameter tuning and feature selection, are employed to estimate wave parameters including the significant wave height, peak period, main wave direction, enhancement parameter, and directional-spreading factor. …”
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Crop water productivity assessment and planting structure optimization in typical arid irrigation district using dynamic Bayesian network by Yantao Ma, Jie Xue, Xinlong Feng, Jianping Zhao, Junhu Tang, Huaiwei Sun, Jingjing Chang, Longke Yan

“…In this study, we propose a framework that integrates remote sensing data, time series generative adversarial network (TimeGAN), dynamic Bayesian network (DBN), and optimization model to assess crop water productivity and optimize crop planting structure under limited water resources allocation in the Qira oasis. …”
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Optimizing Site Selection for Construction: Integrating GIS Modeling, Geophysical, Geotechnical, and Geomorphological Data Using the Analytic Hierarchy Process by Doaa Wahba, Awad A. Omran, Ashraf Adly, Ahmed Gad, Hasan Arman, Heba El-Bagoury

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Enhancing Artificial Bee Colony Algorithm with Self-Adaptive Searching Strategy and Artificial Immune Network Operators for Global Optimization by Tinggui Chen, Renbin Xiao

“…It has been shown to be superior to some conventional intelligent algorithms such as genetic algorithm (GA), artificial colony optimization (ACO), and particle swarm optimization (PSO). …”
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A Case Study on Strategic Multi-Objective Optimization of Influenza Vaccine Allocation: Age-Specific Approaches in Saudi Arabia by Asma K. Alkhamis, Manar I. Hosny

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Global well-posedness and optimal decay rates for the $ n $-D incompressible Boussinesq equations with fractional dissipation and thermal diffusion by Xinli Wang, Haiyang Yu, Tianfeng Wu

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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

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Optimizing Subchannel Assignment and Power Allocation for Network Slicing in High-Density NOMA Networks: A Q-Learning Approach by Suhare Solaiman

“…To address these issues, an optimization algorithm is proposed for subchannel assignment and power allocation in NOMA high-density networks for URLLC and mMTC devices. …”
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