Abnormal link detection algorithm based on semi-local structure by Haoran SHI, Lixin JI, Shuxin LIU, Gengrun WANG

“…With the research in network science, real networks involved are becoming more and more extensive.Redundant error relationships in complex systems, or behaviors that occur deliberately for unusual purposes, such as wrong clicks on webpages, telecommunication network spying calls, have a significant impact on the analysis work based on network structure.As an important branch of graph anomaly detection, anomalous edge recognition in complex networks aims to identify abnormal edges in network structures caused by human fabrication or data collection errors.Existing methods mainly start from the perspective of structural similarity, and use the connected structure between nodes to evaluate the abnormal degree of edge connection, which easily leads to the decomposition of the network structure, and the detection accuracy is greatly affected by the network type.In response to this problem, a CNSCL algorithm was proposed, which calculated the node importance at the semi-local structure scale, analyzed different types of local structures, and quantified the contribution of edges to the overall network connectivity according to the semi-local centrality in different structures, and quantified the reliability of the edge connection by combining with the difference of node structure similarity.Since the connected edges need to be removed in the calculation process to measure the impact on the overall connectivity of the network, there was a problem that the importance of nodes needed to be repeatedly calculated.Therefore, in the calculation process, the proposed algorithm also designs a dynamic update method to reduce the computational complexity of the algorithm, so that it could be applied to large-scale networks.Compared with the existing methods on 7 real networks with different structural tightness, the experimental results show that the method has higher detection accuracy than the benchmark method under the AUC measure, and under the condition of network sparse or missing, It can still maintain a relatively stable recognition accuracy.…”
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Analyzing greedy vaccine allocation algorithms for metapopulation disease models. by Jeffrey Keithley, Akash Choudhuri, Bijaya Adhikari, Sriram V Pemmaraju

“…The allocation of vaccines can be modeled as a discrete optimization problem that prior research has shown to be computationally difficult (i.e., NP-hard) to solve even approximately. …”
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Predicting Quail Egg Quality Using Machine Learning Algorithms by BI Yildiz, K Eskioğlu, D Özdemir, M Akşit

“…ABSTRACT This study evaluates the effectiveness of machine learning algorithms in predicting quail egg quality based on nine key parameters, including egg weight, egg width, egg length, yolk height, yolk width, yolk weight, albumen height, albumen width, and albumen length. …”
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Human activity recognition algorithms for manual material handling activities by Andreas Sochopoulos, Tommaso Poliero, Jamil Ahmad, Darwin G. Caldwell, Christian Di Natali

“…However, there needs to be more research regarding the identification of diverse lifting styles, which requires appropriate datasets and the proper selection of hyperparameters for the employed classification algorithms. …”
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Artificial Intelligence Algorithm for Optimal Time Series Data Model by Kang Wang

“…Based on the characteristics, the theory and algorithm of model selection are proposed. The model selection theory and algorithm in this paper is used for empirical analysis. …”
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Tennis Assistance Technology Based on Dynamic Time Warping Algorithm by Penggang Wang, Pengpeng Zhang, Guanxi Fan

“…Traditional teaching methods are inefficient and difficult to quantify the correctness of actions. In view of this research, a tennis sports assistance technology based on dynamic time warping algorithm is developed. …”
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Trends and Challenges in Plant Cryopreservation Research: A Meta-Analysis of Cryoprotective Agent Development and Research Focus by Pilsung Kang, Sung Jin Kim, Ha Ju Park, Se Jong Han, Il-Chan Kim, Hyoungseok Lee, Joung Han Yim

“…Therefore, the long-term cryopreservation of plant cells using a cryoprotective agent (CPA) is a crucial area of study. However, research on low-toxicity CPAs remains limited. We analyzed 1643 abstracts related to plant-cryopreservation (PCP) research published from 1967 to May 2023, spanning 56 years, from academic citation databases, with the search conducted in May 2023. …”
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Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection by Andrzej Cichocki, Sergio Cruces, Auxiliadora Sarmiento, Toshihisa Tanaka

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A Multicriteria Evaluation of Single Underwater Image Improvement Algorithms by Iracema del P. Angulo-Fernández, Javier Bello-Pineda, J. Alejandro Vásquez-Santacruz, Rogelio de J. Portillo-Vélez, Pedro J. García-Ramírez, Luis F. Marín-Urías

“…In this work, the DM of six scenarios is shown, since the setting of weights could completely change the decision. For this research’s target application of generating underwater photomosaics, the Dark Channel Prior (DCP) algorithm emerged as the most suitable under a weighting scheme of 75% for processing time and 25% for keypoint increase. …”
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Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots by Mohamed Kmich, Nawal El Ghouate, Ahmed Bencharqui, Hicham Karmouni, Mhamed Sayyouri, S.S. Askar, Mohamed Abouhawwash

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An Adaptive Chaotic Sine Cosine Algorithm for Constrained and Unconstrained Optimization by Yetao Ji, Jiaze Tu, Hanfeng Zhou, Wenyong Gui, Guoxi Liang, Huiling Chen, Mingjing Wang

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ALGORITHMIC PROCEDURES OF IDENTIFYING ADVERTISEMENT TEXTS IN MASS MEDIA DISCOURSE by Mikhail V. Kamensky, Sergey N. Bredikhin

“…The GATE corpus manager is used as the development environment for the algorithm, and the ANNIE Gazetteer, JAPE Transducer, and Java Regexp Annotator are used as the principal processing resources for the presented algorithm. …”
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Dynamic path planning using a modified genetic algorithm by Awang Hendrianto Pratomo, Oyas Wahyunggoro, Hendri Himawan Triharminto

“…Genetic algorithm (GA) is well-known algorithm to find a feasible path planning which can be defined as global optimum problem. …”
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Digital asset management in a Digital environment: algorithms and services by I.  M. Stepnov, М.  A.  Fedotova

“…The relevance of the study is determined by the growth in the volume of digital assets under management and the need to develop new approaches to measuring their value. The subject of the research was the transformation of approaches to assessment and management in the digital economy. …”
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Fractional Discrete Computer Virus System: Chaos and Complexity Algorithms by Ma’mon Abu Hammad, Imane Zouak, Adel Ouannas, Giuseppe Grassi

“…To explore the system’s nonlinear chaotic behavior, the research of this study employs a suite of analytical tools, including the analysis of bifurcation diagrams, phase portraits, and the evaluation of the maximum Lyapunov exponent (MLE) for the study of chaos. …”
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A Federated Weighted Learning Algorithm Against Poisoning Attacks by Yafei Ning, Zirui Zhang, Hu Li, Yuhan Xia, Ming Li

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Prediction of high-risk pregnancy based on machine learning algorithms by Xinyu Pi, Junzhi Wang, Liangliang Chu, Guochun Zhang, Wenli Zhang

“…Abstract This study explores the application of machine learning algorithms in predicting high-risk pregnancy among expectant mothers, aiming to construct an efficient predictive model to improve maternal health management. …”
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HUMAN EMOTION RECOGNITION SYSTEM USING DEEP LEARNING ALGORITHMS by Kateryna Yuvchenko, Valentyn Yesilevskyi, Olena Sereda

“… The subject of research in the article is the software implementation of a neural image classifier. …”
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Basic principals of the tiltrotors flight control system architecture and algorithms by M. I. Myasnikov, I. R. Ilyin

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Developing an Algorithm for Robotic Precision Application of Crop Protection Products by M. A. Mirzaev

“…The image parameters tend to differ significantly in applied solutions. (Research purpose) To develop an algorithm for crop plant recognition by a robotic device using a state-of-the-art convolutional neural network (R-CNN) and deep learning technology. …”
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