Computational methods for automatic traffic signs recognition in autonomous driving on road: A systematic review by Hui Chen, Mohammed A.H. Ali, Yusoff Nukman, Bushroa Abd Razak, Sherzod Turaev, YiHan Chen, Shikai Zhang, Zhiwei Huang, Zhenya Wang, Rawad Abdulghafor

“…The Traffic sign recognition has been developed to identify various shapes, sizes, orientations, and appearances of signs in diverse conditions. Researchers have proposed numerous algorithms to address these challenges. …”
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Development and evaluation of parallel simulated annealing algorithm for reactor core optimization problems [version 2; peer review: 2 approved] by Gregory Delipei, Jake Mikouchi-Lopez, Jason Hou

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Hybridization and Optimization of Bio and Nature-Inspired Metaheuristic Techniques of Beacon Nodes Scheduling for Localization in Underwater IoT Networks by Umar Draz, Tariq Ali, Sana Yasin, Muhammad Hasanain Chaudary, Muhammad Ayaz, El-Hadi M. Aggoune, Isha Yasin

“…This research introduces a hybrid approach combining bio- and nature-inspired metaheuristic algorithms to enhance scheduling efficiency and minimize energy consumption in Underwater Acoustic Sensor Networks (UASNs). …”
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Research trends among new investigators at ISOQOL: a bibliometric analysis from 2019 to 2023 by Jae-Yung Kwon, Manraj N. Kaur, Ellen B. M. Elsman, Ava Mehdipour, Lori Suet Hang Lo, Ahmed M. Y. Osman, Sandrine Herbelet, Carrie-Anne Ng, Lotte van der Weijst, on behalf of the New Investigators Special Interest Group Members

“…Thematic mapping was conducted using clustering algorithms to identify established and emerging research areas. …”
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Shape-Matching: A Novel Algorithm To Define The Optimal Reduction Endpoint In Operative Management Of Proximal Humeral Fractures (PHF) by Simon Martin Lambert, Peter Varga, Martin Jaeger, Karen Mys, Luke Visscher, Sara Lindenmann, Torsten Pastor, Paolo Antonacci, Matthias Knobe

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A Distributed Consensus Scenario Approach to Optimization and Control With Uncertainties by Jing Wang, Steven Drager

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Identifying key factors influencing maize stalk lodging resistance through wind tunnel simulations with machine learning algorithms by Guanmin Huang, Ying Zhang, Shenghao Gu, Weiliang Wen, Xianju Lu, Xinyu Guo

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Development and validation of a biomarker-based prediction model for metastasis in patients with colorectal cancer: Application of machine learning algorithms by Erfan Ayubi, Sajjad Farashi, Leili Tapak, Saeid Afshar

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Fault Diagnosis Method for Transformer Winding Based on Differentiated M-Training Classification Optimized by White Shark Optimization Algorithm by Guochao Qian, Kun Yang, Jin Hu, Hongwen Liu, Shun He, Dexu Zou, Weiju Dai, Haozhou Wang, Dongyang Wang

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Auto-Tuning Memory-Based Adaptive Local Search Gaining–Sharing Knowledge-Based Algorithm for Solving Optimization Problems by Nawaf Mijbel Alfadli, Eman Mostafa Oun, Ali Wagdy Mohamed

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An Enhanced Algorithm Based on Dual-Input Feature Fusion ShuffleNet for Synthetic Aperture Radar Operating Mode Recognition by Haiying Wang, Wei Lu, Yingying Wu, Qunying Zhang, Xiaojun Liu, Guangyou Fang

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Innovative resource-saving security strategies for IoT devices by Inna Rozlomii, Andrii Yarmilko, Serhii Naumenko

“…The primary focus is developing and analysing lightweight cryptographic algorithms capable of providing robust data protection with minimal resource usage. …”
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Performance and limitation of machine learning algorithms for diabetic retinopathy screening and its application in health management: a meta-analysis by Mehrsa Moannaei, Faezeh Jadidian, Tahereh Doustmohammadi, Amir Mohammad Kiapasha, Romina Bayani, Mohammadreza Rahmani, Mohammad Reza Jahanbazy, Fereshteh Sohrabivafa, Mahsa Asadi Anar, Amin Magsudy, Seyyed Kiarash Sadat Rafiei, Yaser khakpour

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Land surface temperature retrieval from SDGSAT-1: assessment of different retrieval algorithms with different atmospheric reanalysis data by Meng Zhou, Huadong Guo, Xiaoying Ouyang, Dinoo Gunasekera, Zhongchang Sun

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Experience with artificial intelligence algorithms for the diagnosis of vertebral compression fractures based on computed tomography: from testing to practical evaluation by Zlata R. Artyukova, Alexey V. Petraikin, Nikita D. Kudryavtsev, Fedor A. Petryaykin, Dmitry S. Semenov, Daria E. Sharova, Zhanna E. Belaya, Anton V. Vladzimirskyy, Yuriy A. Vasilev

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OP-Gen: A High-Quality Remote Sensing Image Generation Algorithm Guided by OSM Images and Textual Prompts by Huolin Xiong, Zekun Li, Qunbo Lv, Baoyu Zhu, Yu Zhang, Chaoyang Yu, Zheng Tan

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Collaborative Search Algorithm for Multi-UAVs Under Interference Conditions: A Multi-Agent Deep Reinforcement Learning Approach by Wei Wang, Yong Chen, Yu Zhang, Yong Chen, Yihang Du

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Bipartite reweight-annealing algorithm of quantum Monte Carlo to extract large-scale data of entanglement entropy and its derivative by Zhe Wang, Zhiyan Wang, Yi-Ming Ding, Bin-Bin Mao, Zheng Yan

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Finding Multiple Optimal Solutions to an Integer Linear Program by Random Perturbations of Its Objective Function by Noah Schulhof, Pattara Sukprasert, Eytan Ruppin, Samir Khuller, Alejandro A. Schäffer

“…This behavior is disadvantageous, as, in fields such as biomedicine, the identification and analysis of distinct optima yields valuable domain-specific insights that inform future research directions. In the present work, we introduce MORSE (Multiple Optima via Random Sampling and careful choice of the parameter Epsilon), a randomized, parallelizable algorithm to efficiently generate multiple optima for ILPs. …”
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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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