Prediction of COVID-19 Effect on Patients during Six Month After Recovery, by Using AI Algorithm by hanan aldabagh, Ghaydaa Al-Talib

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Positron emission tomography imaging biomarker and artificial intelligence for the characterization of solitary pulmonary nodule by Ashish Kumar Jha, Ashish Kumar Jha, Umeshkumar Baburao Sherkhane, Umeshkumar Baburao Sherkhane, Nilendu C. Purandare, Nilendu C. Purandare, Leonard Wee, Andre Dekker, Venkatesh Rangarajan, Venkatesh Rangarajan

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Energy Efficiency Optimization of Air Conditioning Systems Towards Low-Carbon Cleanrooms: Review and Future Perspectives by Xinran Zeng, Chunhui Li, Xiaoying Li, Chennan Mao, Zhengwei Li, Zhenhai Li

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Heuristic Global Optimization for Thermal Model Reduction and Correlation in Aerospace Applications by João P. Castanheira, Beltran N. Arribas, Rui Melicio, Paulo Gordo, André R. R. Silva

Subjects: “…heuristic global optimization…”
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Optimization of Fuzzy Adaptive Logic Controller for Robot Manipulators Using Modified Greater Cane Rat Algorithm by Jian Sun, Shuyi Wu, Jinfu Chen, Xingjia Li, Ziyan Wu, Ruiting Xia, Wei Pan, Yan Zhang

“…For benchmarking, several state-of-the-art swarm intelligence algorithms—including particle swarm optimization (PSO), artificial bee colony (ABC), ant colony optimization (ACO), gray wolf optimization (GWO), covariance matrix adaptation evolution strategy (CMA-ES), adaptive guided differential evolution (AGDE), the basic greater cane rat algorithm (GCRA), and a trial-and-error method—are compared under identical conditions. …”
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Explainable Artificial Intelligence (XAI) for Flood Susceptibility Assessment in Seoul: Leveraging Evolutionary and Bayesian AutoML Optimization by Kounghoon Nam, Youngkyu Lee, Sungsu Lee, Sungyoon Kim, Shuai Zhang

“…We first employed the Tree-based Pipeline Optimization Tool (TPOT), an evolutionary AutoML algorithm, to construct baseline ensemble models using Gradient Boosting (GB), Random Forest (RF), and XGBoost (XGB). …”
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Energy optimization and digitization of the PV energy balance between production and consumption by Abdellatif Hraich, Ali Haddi

“…This study offers solutions to optimize photovoltaic energy production by passing from experimentation using a solar tracking system and a Sun Astronomic Position Algorithm, that incorporates three different degrees of freedom photovoltaic panels mounted in mobile bracket and artificial intelligence optimization using stochastic algorithms. …”
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Intelligent pattern design using 3D modelling technology for urban sculpture designing by Wei Wan

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Multi-Strategy Improved Red-Tailed Hawk Algorithm for Real-Environment Unmanned Aerial Vehicle Path Planning by Mingen Wang, Panliang Yuan, Pengfei Hu, Zhengrong Yang, Shuai Ke, Longliang Huang, Pai Zhang

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Leader election of dynamic wireless intelligent control machine in sensor network distributed processing by Eko Sediyono, Ferry Wahyu Wibowo, Hindriyanto Dwi Purnomo

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Joint Service Caching and Computing Offloading Strategies for Electrical Equipment Intelligent IoT Platform by Yi SUN, Shaonan CHANG, Kai CHEN, Qiang CUI, Weijie SHEN

“…Further more, we proposed a generalized Benders decomposition algorithm combined with particle swarm optimization to solve the mixed integer programming efficiently. …”
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The Usage of Artificial Intelligence (Artificial Intelligence) as material for consideration of the judge's decision In the Criminal Justice System in Indonesia by Syamsul Fatoni, Erma Rusdiana

“…This study evaluates the integration of artificial intelligence in the judicial processes, focusing on how technology can promote fairness in the Indonesian Criminal Justice system, where there are no specific guidelines for using AI in legal proceedings. …”
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An intelligent hybrid approach combining fuzzy C-means and the sperm whale algorithm for cyber attack detection in IoT networks by E. I. Elsedimy, Sara M. M. AboHashish

“…The proposed approach, known as FCM-SWA, hybridizes a fuzzy C-mean (FCM) with a sperm whale algorithm (SWA). In the first step, we use a novel SWA optimization algorithm to enhance the FCM performance and provide effective defenses against various types of smart city attacks. …”
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Construction and application of a digital twin model for multi-objectiveoptimization of intelligent tape conveyor system by Wei CHEN, Jingzhao LI, Qing SHI, Jichao LIU, Huashun LI

“…The Improved Whale Optimization Algorithm (IWOA) is employed to optimize parameters in this blueprint, facilitating real-time scheduling by rapidly converging to the global optimum. …”
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Integrated neural network and evolutionary algorithm approach for liver fibrosis staging: Can artificial intelligence reduce patient costs? by Ali Nazarizadeh, Touraj Banirostam, Taraneh Biglari, Mohammadreza Kalantarhormozi, Fatemeh Chichagi, Amir H Behnoush, Mohammad A Habibi, Ramin Shahidi

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Recent Advances in Resistive Gas Sensors: Fundamentals, Material and Device Design, and Intelligent Applications by Peiqingfeng Wang, Shusheng Xu, Xuerong Shi, Jiaqing Zhu, Haichao Xiong, Huimin Wen

“…Machine learning (ML) algorithms have enabled intelligent design of novel sensing materials, optimized multi-gas identification, and enhanced data reliability in complex environments. …”
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Overview of equipment maintenance support mission planning model and solution by YANG Liangliang, ZHAO Deyong, LIU Xiaoyong, LIU Jie, SHEN Zixuan

Subjects: “…equipment maintenance support|mission planning|multi-objective optimization model|intelligent optimization algorithm|solution method…”
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Training hybrid neural networks with multimode optical nonlinearities using digital twins by Oguz Ilker, Suter Louis J.E., Hsieh Jih-Liang, Yildirim Mustafa, Dinc Niyazi Ulas, Moser Christophe, Psaltis Demetri

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A Systematic Review and Evolutionary Analysis of the Optimization Techniques and Software Tools in Hybrid Microgrid Systems by Kawakib Arar Tahir

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Intelligent diagnosis and prediction of pregnancy induced hypertension in obstetrics and gynecology teaching by integrating GA by Xiaolan Li, Xiaolan Li, Xiaolan Li, Fen Kang, Fen Kang, Fen Kang, Xiaojing Li, Xiaojing Li, Xiaojing Li

“…The potential for misdiagnosis, often stemming from the inexperience of healthcare professionals, underscores the necessity for an advanced diagnostic system.MethodsThis research introduces an innovative sampling and feature selection technique grounded in F-scores optimization, alongside the development of a comprehensive prediction model that integrates genetic algorithms with various heterogeneous learners. …”
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