Optimization of energy output from PVT-PCM systems with emerging metal-organic frameworks phase change materials by Bourhan Tashtoush, Malak Al Ghadi

“…Originality is manifested in the exploration of two essential inquiries: (i) Can the generation of thermal energy during nighttime be optimized by modifying the geometric configuration of the layers within the solar energy system? …”
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Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture by Haining Gao, Haoyu Wang, Hongdan Shen, Shule Xing, Yong Yang, Yinlin Wang, Wenfu Liu, Lei Yu, Mazhar Ali, Imran Ali Khan

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Optimizing Ethanol–Water Cosolvent Systems for Green Supercritical Carbon Dioxide Extraction of Muscadine Grape Pomace Polyphenols by Arda Tuhanioglu, Sumanjot Kaur, Gabriel Laquete De Barros, Safoura Ahmadzadeh, Renee Threlfall, Ali Ubeyitogullari

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Optimizing Nitrogen Fertilization Regimes for Sustainable Maize (Zea mays L.) Production on the Volcanic Soils of Buea Cameroon by Christopher Ngosong, Victorine Bongkisheri, Clovis B. Tanyi, Lawrence T. Nanganoa, Aaron S. Tening

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Determination of Nicotine in Tobacco by Chemometric Optimization and Cation-Selective Exhaustive Injection in Combination with Sweeping-Micellar Electrokinetic Chromatography by Yi-Hui Lin, Chia-Hsien Feng, Shih-Wei Wang, Po-Yun Ko, Ming-Hsun Lee, Yen-Ling Chen

“…Using 50 mM sodium dodecyl sulfate and 25% methanol in the sweeping buffer, nicotine was detected with high sensitivity. Thus, optimized conditions adapted from a chemometric approach provided a 6000-fold increase in the nicotine detection sensitivity using the CSEI-sweeping-MEKC method in comparison to normal CZE. …”
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Nonlinear system optimization of cutting tools with dynamic vibration absorbers in deep hole boring: A stability analysis by Lie Li, Yuchen Ren, Zikai Shen, Junna Lu, Linhai Tong

“…These results offer valuable guidance for the design and optimization of DVA in deep hole boring, contributing to improved machining performance and accuracy.…”
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Utilization of Tea Industrial Waste for Low-Grade Energy Recovery: Optimization of Liquid Oil Production and Its Characterization by I. Kathir, K. Haribabu, Aditya Kumar, S. Kaliappan, Pravin P. Patil, C.Sowmya Dhanalakshmi, P. Madhu, Habtewolde Ababu Birhanu

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Optimization Analysis Method of New Orthotropic Steel Deck Based on Backpropagation Neural Network-Simulated Annealing Algorithm by Xiuli Xu, Kewei Shi, Xuehong Li, Zhijun Li, Rengui Wang, Yuwen Chen

“…It can be concluded that compared with the FE method through single-parameter optimization, the BPNN and SA method can synthetically optimize multiple parameters. …”
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A Wideband and Polarization-Independent Metasurface Based on Phase Optimization for Monostatic and Bistatic Radar Cross Section Reduction by Jianxun Su, Yao Lu, Zengrui Li, Rongrong Zhang, Yaoqing (Lamar) Yang

“…Scattering characteristics of two kinds of metasurfaces, periodic arrangement and optimized phase layout, are studied in detail. Optimizing phase layout through particle swarm optimization (PSO) together with far field pattern prediction can produce a lot of scattering lobes, leading to a great reduction of bistatic RCS. …”
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A Machine Learning Approach to Optimize, Model, and Predict the Machining Factors in Dry Drilling of Nimonic C263 by S. Lakshmana Kumar, V. Jacintha, A. Mahendran, R. M. Bommi, M. Nagaraj, Umamahesawari Kandasamy

“…In this present paper, the machine learning approach is used to optimize, model, and predict the factors during drilling Nimonic C263 under dry mode. …”
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Integrated assessment of environmental suitability and water-energy conflict for optimizing solar energy in Northwest China's desert regions by Weike Zhao, Zhangxinyue Zhao, Wenjuan Hou, Dezheng Jiang, Kaijin Zhang, Xueliang Zhang

“…The proposed “Water-Electricity-Road” network framework addresses water scarcity and infrastructure accessibility, thereby optimizing solar energy utilization in desert regions. …”
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An efficient artificial neural network-based optimization techniques for the early prediction of coronary heart disease: comprehensive analysis by Subhash Mondal, Ranjan Maity, Amitava Nag

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A bi-subpopulation coevolutionary immune algorithm for multi-objective combinatorial optimization in multi-UAV task allocation by Xi Chen, Yu Wan, Jingtao Qi, Zipeng Zhao, Yirun Ruan, Jun Tang

Subjects: “…Multi-objective combinatorial optimization…”
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A Group-Based Signal Timing Optimization Model Considering Safety for Signalized Intersections with Mixed Traffic Flows by Fen Wang, Keshuang Tang, Keping Li, Zhigang Liu, Lin Zhu

“…Then, the multiobjective optimization issue was formulated as a nonlinear program and solved by a Nondominated Sorting Genetic Algorithm. …”
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Correction: The cost effectiveness and optimal configuration of HIV self-test distribution in South Africa: a model analysis

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Optimal Pore Size of Honeycomb Polylactic Acid Films for In Vitro Cartilage Formation by Synovial Mesenchymal Stem Cells by Misaki Yagi, Mitsuru Mizuno, Ryota Fujisawa, Hisako Katano, Kentaro Endo, Nobutake Ozeki, Yuriko Sakamaki, Hideyuki Koga, Ichiro Sekiya

“…The purpose of this study was to determine the optimal pore size of honeycomb PLA films for in vitro cartilage formation using synovial mesenchymal stem cells (MSCs). …”
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Design of Anomaly Based Intrusion Detection System Using Support Vector Machine and Grasshopper Optimization Algorithm in IoT by Sepehr Sharifi, Soulmaz Gheisari

Subjects: “…grasshopper optimization algorithm…”
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A Real-Time Timetable Rescheduling Method for Metro System Energy Optimization under Dwell-Time Disturbances by Guang Yang, Junjie Wang, Feng Zhang, Shiwen Zhang, Cheng Gong

“…In this paper, a real-time timetable rescheduling method (RTTRM) for energy optimization of metro systems has been proposed. The proposed method takes little time to recalculate a new schedule and gives proper solutions for all trains in the network immediately after a random disturbance happens, which avoids possible chain reactions that would attenuate the reuse of regenerative energy. …”
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Optimizing alpha–beta filter for enhanced predictions accuracy in industrial applications using Mamdani fuzzy inference system by Junaid Khan, Muhammad Fayaz, Umar Zaman, Eunkyu Lee, Awatef Salim Balobaid, Muhammad Bilal, Kyungsup Kim

“…This work presents a novel approach for dynamically optimizing the alpha–beta filter parameters through the Mamdani fuzzy inference system (MFIS) for industrial applications to estimate the state of dynamic systems based on sensor measurements. …”
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Interleaved Landsman Converter with Class Topper Optimized PI Control in Sensorless BLDC Motor Drive for Electric Vehicle by Suresh V., Jahnavi V.G., Manjula D., Lokesh M.

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