DAG Based Multipath Routing Algorithm for Load Balancing in Machine-to-Machine Networks by Liang Liu, Tao Zhang, Jun Zhang

“…In M2M networks, most nodes are powered by battery; hence the overused nodes may easily be out of power, which causes the reduction of network lifetime. …”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…Future work will focus on experimental validation of MOMDBA under real-world conditions and its integration with advanced monitoring technologies. Further research may also explore adaptive extensions of the algorithm for real-time structural health monitoring. …”
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Comparative Study of Swarm-Based Algorithms for Location-Allocation Optimization of Express Depots by Yong-Wei Zhang, Qin Xiao, Xue-Ying Sun, Liang Qi

“…Numerical examples with up to 50 delivery points show that the proposed encoding scheme boosts the performance of all algorithms without altering any operator of the algorithm.…”
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A Mutual Algorithm for Optimizing Distributed Source Coding in Wireless Sensor Networks by Nashat Abughalieh, Kris Steenhaut, Bart Lemmens, Ann Now©

“…This paper presents contributions to the lifetime optimization problem of WSNs in the form of two algorithms: the Updated-CMAX (UCMAX) power-aware routing algorithm to optimize the routing tree and the Rate Optimization (RO) algorithm to optimize the encoding rates of the nodes. …”
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A Biased Median Filtering Algorithm for Segmentation of Intestinal Cell Gland Images by Hai-Shan Wu, Joan Gil

“…In this paper, we introduce a biased median filtering image segmentation algorithm for intestinal cell glands consisting of goblet cells. …”
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Evaluating and refining undersea cable path planning algorithms: A comparative study. by Tianjiao Wang, Zengfu Wang, Bill Moran, Xinyu Wang, Moshe Zukerman

“…This paper compares three automated path-planning algorithms based on publicly available data. The algorithms include a Dijkstra-based algorithm (DBA) that improves on the straightforward application of Dijkstra's algorithm, which restricts the path only to the grid edges. …”
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NSLS: A Neighbor Similarity and Label Selection-Based Algorithm for Community Detection by Shihu Liu, Hui Chen, Shuang Li, Xiyang Yang

“…Recently, many similarity-based community detection algorithms have been widely applied to the analysis of complex networks. …”
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Learning Path Analysis of Optimizing Educational Data Mining Based on Genetic Algorithm by Wu Yanhong

“…The iterative process of genetic algorithms preserves high fitness pathways while generating new ones. …”
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Public perception of accuracy-fairness trade-offs in algorithmic decisions in the United States. by Mehdi Mourali, Dallas Novakowski, Ruth Pogacar, Neil Brigden

“…The naive approach to preventing discrimination in algorithmic decision-making is to exclude protected attributes from the model's inputs. …”
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A Multi-Strategy Improved Honey Badger Algorithm for Engineering Design Problems by Tao Han, Tingting Li, Quanzeng Liu, Yourui Huang, Hongping Song

“…A multi-strategy improved honey badger algorithm (MIHBA) is proposed to address the problem that the honey badger algorithm may fall into local optimum and premature convergence when dealing with complex optimization problems. …”
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An improved pelican optimization algorithm for function optimization and constrained engineering design problems by Haval Tariq Sadeeq, Araz Abrahim, Thamer Hameed, Najdavan Kako, Reber Mohammed, Dindar Ahmed

“… Metaheuristic algorithms are a class of optimization techniques that have revolutionized problem-solving across various domains. …”
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Validation of an automated cough detection algorithm for tracking recovery of pulmonary tuberculosis patients. by Sandra Larson, Germán Comina, Robert H Gilman, Brian H Tracey, Marjory Bravard, José W López

“…Our hypothesis is that analysis of cough sound recordings may provide such a test. In the current paper, we present validation of a cough analysis tool.…”
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Explanation and Optimizing Multi‐Model Blending Algorithm Using Random Variables Theory by Yu Wang, Yong Cao, Yue Shen, Ruixia Zhao, Xiaoqing Zeng, Li Yao, Kan Dai

“…To address this, we modified the algorithm to set negative weights to zero and compared the performance with the original algorithm. …”
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Research on Grounding Grid Corrosion Diagnosis Based on Genetic K‐Means Algorithm by Longsheng Huang, Xianghui Xiao, Mingxian Huang, Zhenshan Zhang, Yunhao Song, Luchang Guan

“…After many years of operation, the grounding conductors will be eroded by soil. It may even cause major accidents and economic losses. …”
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A small serving of mash: (Quantum) algorithms for SPDH-Sign with small parameters by Mendelsohn Andrew, Dable-Heath Edmund, Ling Cong

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A decomposable multi-period mixing algorithm for long-term load forecasting by Qi Cheng, Jing Shi, Siwei Cheng

“…In this paper, a long-term load forecasting model based on a decomposable multi-period mixing algorithm is proposed. Firstly, the features that may affect load are analyzed and selected. …”
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Analysis of the synthetic periocular iris images for robust Presentation Attacks Detection algorithms by Jose Maureira, Juan E. Tapia, Claudia Arellano, Christoph Busch

“…The generation of synthetic images with Generative Adversarial Networks (GAN) algorithms may help and has shown significant improvements in recent years. …”
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Multiobjective Personalized Recommendation Algorithm Using Extreme Point Guided Evolutionary Computation by Qiuzhen Lin, Xiaozhou Wang, Bishan Hu, Lijia Ma, Fei Chen, Jianqiang Li, Carlos A. Coello Coello

“…However, with the increase of the diversified demands of users, multiple metrics which may conflict with each other have to be considered in modern recommender systems, especially for the personalized recommender system. …”
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Defense Methods for Adversarial Attacks Against Power CPS Data-Driven Algorithms by Weiping ZHU, Yi TANG, Xingshen WEI, Zengji LIU

“…However, the inherent flaws of data-driven algorithms introduce new risks to the safe and stable operation of the system, which attackers can exploit to launch adversarial attacks that may cause system power outages and even instability. …”
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Improved salp swarm algorithm-driven deep CNN for brain tumor analysis by Umang Kumar Agrawal, Nibedan Panda, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…Due to a lack of balance between these two factors, the Salp Swarm Algorithm (SSA), a recently developed swarm-based metaheuristic approach, suffers from confined minima, stuck and untimely premature convergence. …”
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