Multi-objective optimization of HESS control for optimal frequency regulation in a power system with RE penetration by Ousama M.T. Ajami, Rodney H.G. Tan, Mithulan Nadarajah, Farah Adilah Jamaludin, Adlan Bagus Pradana

“…Concerns over fossil fuel emissions and their hazardous effects have led to a shift away from conventional power plants and focus more on the expansion of renewable energy sources. …”
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Particle Swarm Optimization Based Optimal Design of Six-Phase Induction Motor for Electric Propulsion of Submarines by Lelisa Wogi, Amruth Thelkar, Tesfabirhan Shoga Tahiro, Tadele Ayana, Shabana Urooj, Samia Larguech

“…This research presented a comparison of optimal model design of a six phase squirrel cage induction motor (IM) for electric propulsion by using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). …”
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GINSER: Geographic Information System Based Optimal Route Recommendation via Optimized Faster R-CNN by S. D. Anitha Selvasofia, B. SivaSankari, R. Dinesh, N. Muthukumaran

“…Its ability to detect accident-prone zones classify congestion levels and recommend optimal routes ensures safer and more efficient mobility.…”
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Optimization of Rate of Penetration and Mechanical Specific Energy Using Response Surface Methodology and Multi-Objective Optimization by Diunay Zuliani Mantegazini, Andreas Nascimento, Mauro Hugo Mathias, Oldrich Joel Romero Guzman, Matthias Reich

“…Optimizing the drilling process is critical for the exploration of natural resources. …”
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Design of the optimal groundwater quality monitoring network using a genetic algorithm based optimization approach by Somaye Janatrostami, Ali Salahi

“…Therefore, it could be clearly concluded that the optimized network provides groundwater quality data from more polluted areas. …”
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More than a chatbot: a practical framework to harness artificial intelligence across key components to boost digital therapeutics quality by Amit Baumel

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Cloud drift optimization algorithm as a nature-inspired metaheuristic by Mohammad Alibabaei Shahraki

“…Using a cloud-based drift strategy, CDO harnesses probabilistic movements to maneuver through the optimization landscape more effectively. The algorithm has undergone rigorous testing against various established unimodal and multimodal benchmark functions, where it showcases outstanding performance characterized by faster convergence rates, high robustness, and exceptional solution accuracy compared to top contemporary optimization techniques. …”
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Phenological piecewise modelling is more conducive than whole-season modelling to winter wheat yield estimation based on remote sensing data by Xin Huang, Wenquan Zhu, Cenliang Zhao, Zhiying Xie, Hui Zhang

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A more efficient match between firms’ demand, VET supply and human capital capacities through bottom-up, participative governance by Noguera Joan

“…Although local partnerships seem to be an adequate tool to implement VET strategies, some authors identify obstacles that can be attributed to bad practices. Thus, more evidence is needed to support the idea that local development and public-private partnerships are optimal organisational environments for the design and implementation of VET strategies and actions at local and sub-regional levels. …”
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Faster, more accurate? A feasibility study on replacing human judges with artificial intelligence in video review for the Paris Olympics Taekwondo competition by Yuncheng Zhang, Ruojie Qu, Olivier Girard

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Development and performance evaluation of novel jet self-cleaning for screen filters in drip irrigation systems: More efficient, water-saving, and cleaner by Zhouyang Qin, Ningning Liu, Jinzhu Zhang, Zhenhua Wang, Wenyao Liang, Miao Li, Jihong Zhang

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Safety and efficacy of omaveloxolone v/s placebo for the treatment of Friedreich's ataxia in patients aged more than 16 years: a systematic review by Ankita Umrao, Monika Pahuja, Nabendu Sekhar Chatterjee

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Global, regional, and national burden of fracture of sternum and/or fracture of one or more ribs: a systematic analysis of incidence, YLDs with projections to 2030 by Zhizhi Wang, Yikuan Cai, Yu Tong, Huajie Li, Hu Zhou, Tongyin Ou, Tianlan Ye, Jiangsheng Zhang, Kaican Cai, Zhiming Chen

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Propofol suppresses hormones levels more obviously than sevoflurane in pediatric patients with craniopharyngioma: A prospective randomized controlled clinical trial. by Jun Xiong, Mengrui Wang, Jie Gao, Yafen Zhou, Yanan Pang, Yongxing Sun

“…However, because of their similar postoperative effects, which long-term effects of sevoflurane or propofol could produce optimal clinical situations? Thus more extensive clinical studies are needed.…”
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An enhanced fruit fly optimization algorithm with random spare and double adaptive weight strategies for oil and gas production optimization by Xu Wang, Jingfu Shan

“…This method builds upon the original Fruit Fly Optimization Algorithm (FOA) by incorporating a random spare mechanism and a dual adaptive weighting scheme, aiming to achieve a more effective balance between exploration and exploitation during the search process. …”
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Optimization of Expression Matching for String Matching by Tianlong Yang, Hongli Zhang

“…As the requirement of network security application increases, more and more redundant patterns appear and the patterns' amount of intrusion detection system（IDS）raises. …”
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Optimization of Expression Matching for String Matching by Tianlong Yang, Hongli Zhang

“…As the requirement of network security application increases, more and more redundant patterns appear and the patterns' amount of intrusion detection system（IDS）raises. …”
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Optimizing Convolutional Neural Network Architectures by Luis Balderas, Miguel Lastra, José M. Benítez

“…Motivated by an interest in optimizing Machine Learning models, in this paper, we propose Optimizing Convolutional Neural Network Architectures (OCNNA). …”
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Mobility Optimization in LTE Heterogeneous Network by Guoping Chen, Qingbo Du

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A Review on Optimal Subsampling Method by Xu Yuan

“…It is only in the case of linear models that subsampling founded on D-optimality proves to be more effective in comparison to other methods. …”
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