An Enhanced Genetic Algorithm for Optimized Educational Assessment Test Generation Through Population Variation by Doru-Anastasiu Popescu

“…The result obtained by a genetic algorithm can be evaluated according to the quality of this solution. …”
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Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…This initial step is crucial, as high-quality feature extraction determines the overall performance of the entire system. …”
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Deep reinforcement learning applications and prospects in industrial scenarios by JING TAN, Ligang YANG, Xiaorui LI, Zhaolin YUAN, Yunduan CUI, Chao YAO, Zongjie WANG, Xiaojuan BAN

“…However, challenges remain, including the need for high-quality training data, computational efficiency in high-dimensional spaces, and robust algorithms capable of handling uncertainties and safety-critical conditions. …”
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Modified Sparrow Search Algorithm by Incorporating Multi-Strategy for Solving Mathematical Optimization Problems by Yunpeng Ma, Wanting Meng, Xiaolu Wang, Peng Gu, Xinxin Zhang

“…However, similar to other swarm intelligence algorithms, the SSA has the problem of being prone to falling into local optimal solutions during the optimization process, which limits its application effectiveness. …”
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NeIL: Intelligent Replica Selection for Distributed Applications by Faraz Ahmed, Lianjie Cao, Ayush Goel, Puneet Sharma

“…Distributed applications such as cloud gaming, streaming, etc., are increasingly using edge-to-cloud infrastructure for high availability and performance. …”
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Contrast Study of Low Tube Current Combined with Deep Learning Algorithms in Paranasal Sinus CT Imaging by Yufei SUN, Zhaohui ZHONG, Xiangming LI, Wanbo ZHOU, Chensi XU, Miao DENG, Lixin ZHANG

“…Objective: To explore the application effect of a low tube current combined with a deep learning algorithm in paranasal sinus computed tomography (CT) imaging and to evaluate its advantages in terms of image quality and radiation dose. …”
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The application of machine learning in clinical microbiology and infectious diseases by Cheng Xu, Ling-Yun Zhao, Cun-Si Ye, Ke-Chen Xu, Ke-Chen Xu, Ke-Yang Xu

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Artificial Intelligence in medicine: Potential and Application Possibilities - Comprehensive literature review by Michał Kotowicz, Magdalena Bieniak-Pentchev, Maria Koczkodaj

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Application of IRSA-BP neural network in diagnosing diabetes. by Wan-Hua Zhang, Zi-Xun Zhang

“…In the study, the IRSA-BP hybrid algorithm and many other machine learning algorithms were used for diabetes prediction, and the algorithm performance was comprehensively evaluated using multiple classification metrics. …”
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Machine learning-enhanced near-infrared spectroscopy for high-throughput phenotyping of sweetpotato sugars across raw and cooked states by Chaochen Tang, Xueying Mo, Zhimin Ma, Zhangying Wang

“…However, existing methods for evaluating sugars level are inefficient, limiting the breeding and processing of high-quality varieties. …”
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Research on Ship Engine Fuel Consumption Prediction Algorithm Based on Adaptive Optimization Generative Network by Defu Zhang, Yuxuan Song, Jianfeng Gao, Zhenyu Shen, Liangkuan Li, Anren Yao

“…Its feasibility will be further evaluated in practical applications in the future. …”
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Improvement of SAM2 Algorithm Based on Kalman Filtering for Long-Term Video Object Segmentation by Jun Yin, Fei Wu, Hao Su, Peng Huang, Yuetong Qixuan

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WOAIP: Wireless Optimization Algorithm for Indoor Placement Based on Binary Particle Swarm Optimization (BPSO) by Omar S. Naif, Imad J. Mohammed

“…This study proposes and investigates a multi-level optimization algorithm called Wireless Optimization Algorithm for Indoor Placement (WOAIP) based on Binary Particle Swarm Optimization (BPSO). …”
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Using machine learning to study the population life quality: methodological aspects by E. V. Shchekotin, В. Л. Гойко, P. A. Basina, B. B. Bakulin

“…Machine learning as a classification tool of social network users’ digital traces makes it possible to create a base to calculate subjective life quality index. The article consistently reviews all stages of the machine learning algorithms application to assess the life quality of the population of the regions of the Russian Federation and the issues of improving neural network accuracy. …”
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Movie Review Selection Algorithm Based on Improved Spherical Fuzzy Semantic DEMATEL and TODIM Methods by Qi Wang, Zi Xu, Weibo Rui, Yuan Zhao, Si Wang

“…In view of the abundance of movie reviews of varying quality available on movie review websites, current selection algorithms are ineffective, leading to ‘information overload.…”
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The algorithm and implementation of an extension to LLVM for solving the blocking between instruction sink and division-modulo combine by YungYu Zhuang, Ting-Wei Lin, Yin-Jung Huang

“…Compiler optimization presents a formidable challenge, seeking to enhance code quality through various techniques. One significant obstacle is the phase-ordering problem, where the sequence of optimization algorithms can impact code quality and potentially lead to performance deterioration. …”
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Research on Audit Risk Prediction in Enterprise Management Based on Optimized BP Neural Network Algorithm by Wang Mingming

“…Under the development of enterprise management intelligence, there are more and more studies on the identification and evaluation of audit risks, in order to accurately identify enterprise audit risks, enterprises have created an audit risk identification model with artificial intelligence algorithm as the core, which aims to identify enterprise audit risks with high quality and significantly improve audit efficiency. …”
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Radioembolization for neuroendocrine tumors: procedure, application and clinical outcomes by Li Shen Ho, Tarik Baetens, Marnix G E H Lam, Arthur J A T Braat

“…Neuroendocrine liver metastases significantly affect patient prognosis and quality of life due to their symptomatic burden and challenging management. …”
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Application of Generalized Predictive Control in Sewage Treatment Process by SONG Guohui

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Research on UAV Conflict Detection and Resolution Based on Tensor Operation and Improved Differential Evolution Algorithm by Zhichong Zhou, Guhao Zhao, Yiru Jiang, Yarong Wu, Jiale Yang, Lingzhong Meng

“…Then, for the detected conflicts, a hybrid improved differential evolution algorithm is used for resolution. This algorithm improves the solution speed and quality by using an adaptive mutation operator and introducing a redundant evaluation mechanism and a confidence-based selection strategy. …”
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