Novel distance-fitness learning scheme for ameliorating metaheuristic optimization by Emre Çelik, Essam H. Houssein, Mahmoud Abdel-Salam, Diego Oliva, Ghanshyam G. Tejani, Nihat Öztürk, Sunil Kumar Sharma, Mohammed Baljon

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Simulation and optimization of heat transfer in underground in-situ shale upgrading by LI Yuan, ZHONG Anhai, QIAN Qin, YU Denglang, ZHANG Yuzhe, ZHONG Yanlei, WANG Dan

“…In-situ heating and upgrading technology is a key method to improve the recovery efficiency of shale oil and gas with medium-low maturity. …”
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Wave energy converter platform stabilisation and mooring load reduction through power take‐off control by A.J. Hillis, C.R.P. Courtney, A. Brask

“…It is demonstrated that the controller can be tuned to capture similar mean power to an optimally tuned, passively damped system while significantly reducing mooring line cyclic loading. …”
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Optimizing plane detection in point clouds through line sampling by José María Martínez-Otzeta, Jon Azpiazu, Iñigo Mendialdua, Basilio Sierra

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The Role of the Principal's Academic Supervision in Optimizing the Implementation of the Independent Curriculum by Desy Eka Citra Dewi, Nurniswah, Nurhikmah, Elfahmi Lubis

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Energy Efficiency Optimization in Swarm Robotics for Smart Photovoltaic Monitoring by Dimitris Ziouzios, Nikolaos Baras, Minas Dasygenis, Vayos Karayannis, Constantinos Tsanaktsidis

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Identifying an Optimal Model for Blockchain Technology Adoption in the Agricultural Sector by Peter Sasitharan Gandhi Maniam, Catherine Prentice, Anne-Marie Sassenberg, Jeffrey Soar

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Optimization of Adversarial Reprogramming for Transfer Learning on Closed Box Models by Alexander Bott, Moritz Siems, Alexander Puchta, Jurgen Fleischer

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Back-turn Approach for Optimal Operation of Booster Pump Systems by Y. S. Bae, M. D. Islam, Y. D. Choi, H. J. Kang, S. J. Tae, H. H. Kim

“…With the use of sophisticated control systems and real-time data monitoring, the back-turn operating approach dynamically modifies pump sequences to optimize efficiency. In addition to saving energy, this method prolongs the pump’s life by avoiding ineffective high-flow operations. …”
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Optimal Scheduling of Hybrid Games Considering Renewable Energy Uncertainty by Haihong Bian, Kai Ji, Yifan Zhang, Xin Tang, Yongqing Xie, Cheng Chen

“…The resulting two-level optimization problem is solved using Karush–Kuhn–Tucker (KKT) conditions and the Alternating Direction Method of Multipliers (ADMM). …”
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Application of predator-prey optimization for task scheduling in cloud computing by Zahra Jalali Khalil Abadi, Behnam Mohammad Hasani zade, Najme Mansouri, Mohammad Masoud Javidi

“…The PPO-based Task Scheduling algorithm (PPOTS) has the goal of reducing execution time and makespan while increasing resource utilization. In this study, the PPOTS algorithm is compared to five well-known meta-heuristic algorithms: Whale Optimization Algorithm (WOA), Salp Swarm Algorithm (SSA), Spotted Hyena Optimization Algorithm (SHO), Grasshopper Optimization Algorithm (GOA), and Sooty Tern Optimization Algorithm (STOA). …”
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Vehicle scheduling optimization for demand responsive transit with flexible stops by SHEN Zikang, JIN Wenzhou, ZHENG Yajing

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Parameter optimization of biochar pressing into a briquette for energy use by Samuel Tesfaye Mekonone, Dilom Girmay

“…The focus of this research is pressing of the char into cylindrical shapes of briquettes to improve the quality by having a high fixed carbon, heating value, and density, a low burning rate, and a short ignition time, processed with varying parameters such as binder ratio, pressing pressure, and dwell time optimized using the Taguchi-Gray Relational method. …”
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Increasing the efficiency of the thermal power units at zoning of heat load curve by D. S. Sinelnikov, P. A. Shchinnikov

“…Study has shown that three design points should be available when zoning the temperature schedule. Based on optimization calculations for standard sizes of heat and power units of a wide range of capacities, the calculations show that the optimal parameters of heat and power units in the conditions of zoning of the temperature schedule as a whole correspond to the standard values. …”
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Optimized window functions for spectral analysis based on digital filters by R.V. Petrosian

“…The article addresses a relevant issue of improving the accuracy of spectral analysis in computerized systems by optimizing window functions used in the Discrete Fourier Transform (DFT). …”
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Preoperative optimization strategy management model applied in gallbladder surgery by Jie Wang, HaoFen Xie, Hong Zhu, Yue Hu, Shanshan Mi, Wang Ying, QinHong Xu, Liang Yang

“…Method The data from patients who underwent the pre-hospitalization optimization strategy were analyzed and compared with that of patients receiving standard hospitalization to determine whether there were statistically significant differences in duration of stay and associated costs. …”
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Green Apple Detector Based on Optimized Deformable Detection Transformer by Qiaolian Liu, Hu Meng, Ruina Zhao, Xiaohui Ma, Ting Zhang, Weikuan Jia

“…Aiming at the problems existing in green apple detection, this study takes green apples as the research object, and proposes a green apple detection model based on optimized deformable DETR. The new method first introduces the ResNeXt network to extract image features to reduce information loss in the feature extraction process; secondly, it improves the accuracy and optimizes the detection results through the deformable attention mechanism; and finally, it uses a feed-forward network to predict the detection results. …”
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Elite Evolutionary Discrete Particle Swarm Optimization for Recommendation Systems by Shanxian Lin, Yifei Yang, Yuichi Nagata, Haichuan Yang

“…Traditional deep models are computationally expensive, while heuristic methods like particle swarm optimization struggle with discrete optimization. …”
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Performance optimization of nonlinear EH technology in green cognitive WPCN by Huajun Chen, Lina Yuan, Linjie Wang, Jing Gong

“…The simulation outcomes indicate that in contrast to existing methods, the proposed approach is capable of markedly enhancing the fairness of data transmission rates and spectral efficiency of cognitive WPCN while ensuring the performance of the main system, especially under strict ITC.…”
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Power Quality Assessment and Optimization in FUZZY-Driven Healthcare Devices by Dinesh Kumar Nishad, Saifullah Khalid, Rashmi Singh

“…The CNN-based detection achieves 97% accuracy in classifying events, while the LSTM enables 95% accurate prediction of emerging issues. …”
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