Review of Active Noise Control Technology of Railway Vehicle by LUO Zhuhui, LI Tao, HE Caichun, ZHANG Yaxin, ZHOU Xisheng, LI Zhuang

“…Compared with passive noise control such as sound insulation and absorption, active noise control (ANC) has many advantages such as lightweight and effective for attenuating with low frequency noise. …”
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Analysis of Receiver Operating Characteristic Curves for Cure Survival Data and Mismeasured Biomarkers by Li-Pang Chen

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Integrating Quantum Computing into De Novo Metabolite Identification by Li-An Tsai, Estelle Nuckels, Yingfeng Wang

“…The recent progress in this area has brought the hope of making some computationally intractable areas trackable, although there are still no general approaches to converting regular computer algorithms into quantum algorithms. Specifically, there is no efficient quantum algorithm for the MCS problem. …”
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Improving Data Privacy in the Internet of Things by Using Artificial Immune System, in Regard with the Internet Limitations by Marzieh Faridi Masouleh, Ali Harounabadi, Asal Sayyad

“…In addition, the response time of AIS algorithm is lower compared with the examined algorithms. …”
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Data-driven joint routing, topology, and mobility design for FANET systems using a digital twin approach by Basma M. Mohammad El-Basioni

“…The decision support of the network digital twin is provided by model-based reinforcement learning using dynamic programming and policy iteration algorithm. The digital twin model allows the reinforcement learning model to learn, offline plan, and online re-plan through observing the outcomes of the real environment. …”
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Prediction and Monitoring Model of Concrete Dam Deformation Based on WOA-RFR by FENG Yu, WU Yunxing, GU Wenjing, PANG Qiong, GU Yanchang, CHEN Siyu

“…The random forest model belonging to the machine learning algorithm has many advantages such as strong generalization ability and fast training speed, and it has a strong mapping capability for nonlinear features. …”
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A Chaotic Decomposition-Based Approach for Enhanced Multi-Objective Optimization by Javad Alikhani Koupaei, Mohammad Javad Ebadi

“…The results establish the proposed algorithm as a promising alternative for solving multi-objective optimization problems.…”
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Artificial Intelligence and Human Rights by Nesrin Singil

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Decision Tree Methodology (C4.5) for Predicting Students' Reading Interest in the Library SMK Negeri 1 Kota Cirebon by Muhammad Erwanto, Kosim Kosim, Nur Bambang Riyanto, Sukmo Banyu Jogo

“…This step is done by designing a system model that uses the C4.5 algorithm to form a decision tree to produce a rule for predicting student reading interest. …”
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A comprehensive metric study of distributed PV consumption capacity considering multiple uncertainties by Chengmin Wang, Yangzi Wang, Fulong Song

“…A local chaotic search is introduced to improve the firefly algorithm, and the improved firefly algorithm is used to solve the comprehensive measurement model and output the comprehensive measurement results of the absorption capacity. …”
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Classification Based on Brain Storm Optimization With Feature Selection by Yu Xue, Yan Zhao, Adam Slowik

“…Recently, some evolutionary algorithms (EAs) such as the fireworks algorithm (FWA) and brain storm optimization (BSO) algorithm have been employed to implement the evolutionary classification model and achieved the desired results. …”
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Diagnostics and age-related evolution of Lennox–Gastaut syndrome. Management in diverse patient age periods by E. D. Belousova, S. G. Burd, N. A. Ermolenko, K. Yu. Mukhin

“…Expanding the criteria to diagnose the Lennox–Gastaut syndrome discussed here would allow to choose a proper treatment algorithm. Rufinamide is the drug of the second choice in the adjunctive therapy of epileptic seizures associated with Lennox–Gastaut syndrome. …”
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Method for assessing testing difficulty in educational sphere by A. S. Sigov, V. Ya. Tsvetkov, I. E. Rogov

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Optimal fuzzy-PID controller design for object tracking by Yaregal Limenih Melese, Girma Kassa Alitasb, Mequanent Degu Belete

“…Genetic algorithm (GA) was used to find the optimal values of the operating ranges (scaling factors) of the membership functions. …”
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Towards arbitrary QUBO optimization: analysis of classical and quantum-activated feedforward neural networks by Chia-Tso Lai, Carsten Blank, Peter Schmelcher, Rick Mukherjee

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Gallic acid alleviates ferroptosis by negatively regulating APOC3 and improves nerve function deficit caused by traumatic brain injury by Yu Liu, Xiaojia Fu, Jing Li, Jianqiang Guo, Zongren Zhao, Jinyu Zheng

“…Weighted gene coexpression network analyses (WGCNA) and 3 kinds of machine-learning algorithms were used to find the potential biomarkers. …”
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Parameter Estimation for Three-Phase Induction Motor Based on Performance Curves and Differential Evolution by Marcelo F. Castoldi, Gustavo Henrique Bazan, Wesley A. Souza, Clayton L. Graciola, Rafael M. Silva, Alessandro Goedtel

“…Furthermore, the study includes a comparative analysis that includes seven evolutionary algorithms, focusing on solution distribution, computational complexity, and convergence characteristics. …”
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Investigation on Circadian Regulation of Four-Primary LED Display Differed in People by GA by Wenhui Li, Junying Li, Yating Feng, Yi Lin, Haoyang Liu, Ruoping Lian, Qinzhen Lin, Jingyi Cui, Zixin Huang, Yaling Chai, Ziquan Guo, Lili Zheng, Zhong Chen

“…The main figures of merit of LED display performance are color gamut of Rec. 2020, luminous efficacy of radiation, correlated color temperature (CCT), and also non-visual parameters, such as circadian stimulus and melanopic efficacy of luminous radiation provided by Commission Internationale de l&#x0027;Eclairage (CIE) standard. Then, the genetic algorithm is adopted for performing the spectral optimization of four-primary LED display while many constraint conditions are set, such as CCT values (2700 K and 6500 K), CCT tolerance, and color distance (<italic>D</italic>_uv &lt; 0.01) in the CIE 1960 UCS color space. …”
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Optimising fatigue, abdominal pain and faecal incontinence in people with inflammatory bowel disease (IBD-BOOST Optimise): feasibility study of a checklist and algorithm for initia... by Thomas Hamborg, John McLaughlin, Ailsa Hart, Christine Norton, Sonia Bouri, Laura Miller, Jean-Frédéric LeBlanc, Asma Fikree, Imogen Stagg, Fionn Cléirigh Büttner

“…It is unknown how many have potentially reversible medical issues underlying these symptoms.Methods We conducted a study testing the feasibility of a patient-reported symptom checklist and nurse-administered management algorithm (‘Optimise’) to manage common medical causes of IBD-related fatigue, pain and faecal incontinence. …”
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Improving the functionality of wireless sensor networks through the use of reinforcement learning and metaheuristic based energy efficient system by Shiwei Zhang, Xinghan Liu

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