Localizing Optic Disc in Retinal Image Automatically with Entropy Based Algorithm by Lamia AbedNoor Muhammed

“…Different optical disc localization algorithms have been suggested, such as an algorithm that would be proposed in this paper. …”
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PSO–SOM Neural Network Algorithm for Series Arc Fault Detection by Na Qu, Jiatong Chen, Jiankai Zuo, Jinhai Liu

“…However, the classification accuracy of SOM neural network may decrease when the features of tested object are not obvious. …”
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A Moving Target Online Location Algorithm Based on Factor Graph by Chenxin Wang, Wenxing Fu, Tong Zhang, Rong Hui

“…However, the global factor graph algorithm may cause computational delays due to excessive computational effort. …”
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Resource analysis of quantum algorithms for coarse-grained protein folding models by Hanna Linn, Isak Lyngfelt, Laura García-Álvarez, Göran Johansson

“…Protein folding processes are a vital aspect of molecular biology that is hard to simulate with conventional computers. Quantum algorithms have been proven superior for certain problems and may help tackle this complex life science challenge. …”
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A Location Prediction Algorithm for Mobile Communications Using Directional Antennas by Xiaofeng Lu, Pietro Lio, Pan Hui, Haifei Jin

“…The authors validated the TRAC algorithm on some vehicles traces. The validation indicated that the algorithm efficiency of TRAC is larger than 96%. …”
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Multipopulation Management in Evolutionary Algorithms and Application to Complex Warehouse Scheduling Problems by Yadong Yu, Haiping Ma, Mei Yu, Sengang Ye, Xiaolei Chen

“…Multipopulation is an effective optimization strategy which is often used in evolutionary algorithms (EAs) to improve optimization performance. …”
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Dynamic primary user spectrum sensing algorithm based on deep learning by Li Xinyu, Zhao Zhijin

“…In actual spectrum sensing scenarios, the primary user may arrive or leave randomly, and when the primary user state changes dynamically during real-time spectrum sensing, the performance of the existing static spectrum sensing algorithm deteriorates sharply. …”
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Comparisons of performances of structural variants detection algorithms in solitary or combination strategy. by De-Min Duan, Chinyi Cheng, Yu-Shu Huang, An-Ko Chung, Pin-Xuan Chen, Yu-An Chen, Jacob Shujui Hsu, Pei-Lung Chen

“…Structural variants (SVs) have been associated with changes in gene expression, which may contribute to alterations in phenotypes and disease development. …”
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A Linear Fitting Algorithm Based on Modified Random Sample Consensus by Yujin Min, Yun Tang, Hao Chen, Faquan Zhang

“…When performing linear fitting on datasets containing outliers, common algorithms may face problems like inadequate fitting accuracy. …”
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An automated parallel genetic algorithm with parametric adaptation for distributed data analysis by Laila Al-Terkawi, Matteo Migliavacca

“…Abstract Unleashing the potential of large-scale data analysis requires advanced computational methods capable of managing the immense size and complexity of distributed data. Genetic algorithms (GAs), known for their adaptability, benefit significantly from parallelization, prompting ongoing enhancements to boost performance further. …”
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An Efficient Algorithm for Maximizing Range Sum Queries in a Road Network by Tien-Khoi Phan, HaRim Jung, Ung-Mo Kim

“…Through simulations, we evaluate the performance of the proposed algorithm.…”
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VENOUS ACCESS INDICATION ALGORITHM FOR NEWBORNS IN NEONATAL INTENSIVE CARE UNIT by Clélia Mozara Giacomozzi, Letícia Morgana Giacomozzi, Regina Paula Vieira Cavalcante da Silva, Bárbara Franco Mittag, Regina Célia Tanaka Nunes

“… Objective: to present an algorithm for the indication of venous accesses for newborns in Neonatal Intensive Care Unit. …”
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Neural Network VS Genetic and Particle Swarm Optimization Algorithms in Bankruptcy by Alireza Azarberahman

“…The evidence reveals the effectiveness of the metaheuristic algorithms compared to linear ones in predicting bankruptcy. …”
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Fuzzy Weight Cluster-Based Routing Algorithm for Wireless Sensor Networks by Teng Gao, Jin-Yan Song, Jin-Hua Ding, De-Quan Wang

“…However, due to the uneven distribution of cluster heads in classical clustering algorithm, some nodes may run out of energy too early, which is not suitable for large-scale wireless sensor networks. …”
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An Improved Hybrid Genetic Algorithm with a New Local Search Procedure by Wen Wan, Jeffrey B. Birch

“…One important challenge of a hybrid genetic algorithm (HGA) (also called memetic algorithm) is the tradeoff between global and local searching (LS) as it is the case that the cost of an LS can be rather high. …”
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Research on Fault Extraction Method of CYCBD Based on Seagull Optimization Algorithm by Qianqian Zhang, Haochi Pan, Qiuxia Fan, Fujing Xu, Yulong Wu

“…However, it requires a preset of filter length, and inappropriate filter length may cause the inaccurate extraction of fault signal. …”
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Robust Crater Detection Algorithm Based on Maximum Entropy Threshold Segmentation by Peng Wu, Rongjun Mu, Yanpeng Deng

“…For future lunar exploration and planetary missions, the digital elevation model (DEM) of the target object may not be well prepared before the mission, so developing a new robust crater detection algorithm (CDA) without prepared high-precision DEM is needed to meet the requirements of a high-reliability and high-precision detection and navigation system. …”
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Competition law in the age of AI: Confronting algorithmic collusion in the smart economy by Chen LI, Ina VIRTOSU

“…While robots and AI systems enhance efficiency and drive innovation across digital commerce platforms, they also raise competition law concerns. Algorithmic collusion is a prime example, as autonomous algorithms can independently coordinate market behaviour, challenging traditional liability frameworks. …”
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Forecasting Renewable energy and electricity consumption using evolutionary hyperheuristic algorithm by Yang Cao, Jun Yu, Rui Zhong, Masaharu Munetomo

“…The configuration of optimal parameters for these models typically requires optimization algorithms, but conventional algorithms may struggle with fixed search patterns and limited robustness. …”
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Research on the Algorithm for Height Measurement of Sand Pipe Based on Deep Learning by YUAN Hongxiang, WANG Junping, SHEN Yunbo, ZHONG Xuyang, JIANG Haixiao

“…Therefore, a sand pipe height measurement algorithm based on deep learning is proposed in this paper. …”
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