Model Analysis of Environmental and Economic Impacts of a Microgrid Based on the Optimization Method by Pengxiao Ji

“…Moreover, considering the environmental benefits of the microgrid two-level economic dispatch model, this paper constructs an intelligent analysis model and uses the deep learning algorithm as the system learning algorithm to improve the system data processing capability. …”
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Subjet Multiplicities at LHC Energies and the QCD Color Factor Ratio CA/CF by M. Kaur, Anter P. Kaur

“…Jets are defined via the software package FastJet version 3.0.3 which includes the implementation of kT sequential recombination algorithm with a jet size of R=0.6. Subjets are resolved by rerunning the kT algorithm on the jets and using the resolution cutoff of ycut=10-3. …”
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Efficient criteria for the stabilization of planar linear systems by hybrid feedback controls by Elena Litsyn, Marina Myasnikova, Yurii Nepomnyashchikh, Arcady Ponosov

“…For instance, this enables us to work out an algorithm which is directly suitable for a computer realization. …”
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Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning by Anatolii Borzilov, Alexey Skrynnik, Aleksandr Panov

“…In this paper, we focus on the exploration problem inherent in many MARL algorithms. These algorithms often introduce new hyperparameters and incorporate auxiliary components, such as additional models, which complicate the adaptation process of the underlying RL algorithm to better fit multi-agent environments. …”
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Multilevel Bloom Filters for P2P Flows Identification Based on Cluster Analysis in Wireless Mesh Network by Xia-an Bi, Xiaohui Wang, Luyun Xu, Sheng Chen, Hong Liu

“…Compared with the traditional algorithms, our method solves the drawbacks of previous schemes. …”
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Resource Allocation in D2D-Enabled 5G Networks Using Multiagent Reinforcement Learning by Kwame Opuni-Boachie Obour Agyekum, Alex Yaw Boakye, Benedict Appati, Jochebed Akoto Opoku, Justice Owusu Agyemang, Gordon Owusu Boateng, James Dzisi Gadze

“…The proposed algorithm aims to optimize overall throughput and maximize the signal-to-interference noise ratio (SINR) while ensuring low computational complexity. …”
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An Optimization Method for the Train Service Network Design Problem by Jie Xiao, Yi Xie, Haowei Yu, Hongying Yan

“…Therefore, an improved genetic algorithm is designed and employed here. To demonstrate the proposed model and the algorithm, a case study on a real-world sub-network in China is carried out. …”
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Objects outline delineation by nonliniear filtration methods for boundary pixels by D. V. Zaerko, V. A. Lipnitski, N. L. Bobrova, Dm. V. Zaerko

“…A processing of border pixel from pixel map originate problem while work with outline objects segmentation algorithm on bitmap images, which are based on 2D convolution operation. …”
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Calculating the average distance between horizontal projection peaks by D. V. Zaerko, V. A. Lipnitski

“…The algorithm takes into account «special» cases of going beyond the segment boundaries. …”
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Nonintrusive Load Identification for Industrial Users Integrated with LSQR and Sequential Leader Clustering by Shuhui Yi, Yinglong Diao, Junjie Liu, Tian Fang, Xiaodong Yin

“…On this base, the LSQR algorithm is proposed to decompose unknown composite power to access the operation of various loads at steady-state. …”
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Harnessing the potential of shared data in a secure, inclusive, and resilient manner via multi-key homomorphic encryption by David Ha Eun Kang, Duhyeong Kim, Yongsoo Song, Dongwon Lee, Hyesun Kwak, Brian W. Anthony

“…Grounded in statistical learning principles, we introduce the Multi-Key Homomorphic Encryption Logistic Regression (MK-HELR) algorithm, designed to execute logistic regression on encrypted multi-party data. …”
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Using Electrocardiogram Signal Features and Heart Rate Variability to Predict Epileptic Attacks by Ying Jiang, Yuan Feng, Danni Lu, Lin Yang, Qun Zhang, Haiyan Yang, Ning Li

“…From a practical point of view, due to the ease of obtaining the heart rate variability signal, the proposed algorithm is more promising than the algorithms that use brain signal processing to predict epilepsy.…”
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Swimming Training Evaluation Method Based on Convolutional Neural Network by Lei Zhang, Wei Liu

“…This paper designs an evaluation algorithm suitable for swimming training based on the improved AlexNet network. …”
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Analyzing customer churn behavior using datamining approach: hybrid support vector machine and logistic regression in retail chain by Mohammad Barzegar, Aliakbar Hasani

“…The features of higher importance were identified to build the model in the first stage using the logistic regression algorithm. In the second stage, the support vector machine algorithm, a critical supervised learning algorithm, was used to classify the customers and rank the essential features. …”
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An FPGA-Based Omnidirectional Vision Sensor for Motion Detection on Mobile Robots by Jones Y. Mori, Janier Arias-Garcia, Camilo Sánchez-Ferreira, Daniel M. Muñoz, Carlos H. Llanos, J. M. S. T. Motta

“…For achieving distance measurement, an algorithm to determine the center of mass of a detected object was implemented. …”
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Enhancing precision in multiple sclerosis lesion segmentation: A U-net based machine learning approach with data augmentation by Oezdemir Cetin, Berkay Canel, Gamze Dogali, Unal Sakoglu

“…This study proposes a robust machine learning algorithm designed to identify MS lesions using both single-modal and multi-modal MRI data. …”
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Enhanced extreme learning machine via competitive learning SSA (CL-SSA) for load capacity factor prediction by Nuriddin Tahir S Luoka, Wagdi M.S. Khalifa

“…This study introduces an enhanced Competitive Learning Salp Swarm Algorithm (CLSSA), which integrates the Salp Swarm Algorithm (SSA) with Competitive Swarm Optimization (CSO) to improve the exploitation capabilities of the traditional CSO. …”
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Edge-level multi-constranint graph pattern matching with lung cancer knowledge graph by Houdie Tu, Lei Li, Lei Li, Zhenchao Tao, Zhenchao Tao, Zan Zhang, Zan Zhang

“…Despite their ability to return subgraphs quickly and accurately, these methods are limited to their applications without medical data research.MethodsIn order to overcome this limitation, based on the existing research on GPM with the lung cancer knowledge graph, this paper introduces the Monte Carlo method and proposes an edge-level multi-constraint graph pattern matching algorithm TEM with lung cancer knowledge graph. Furthermore, we apply Monte Carlo method to both nodes and edges, and propose a multi-constraint hologram pattern matching algorithm THM with lung cancer knowledge graph.ResultsThe experiments have verified the effectiveness and efficiency of TEM algorithm.DiscussionThis method effectively addresses the complexity of uncertainty in lung cancer knowledge graph, and is significantly better than the existing algorithms on efficiency.…”
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Study on the Detection of Dairy Cows’ Self-Protective Behaviors Based on Vision Analysis by Jia Li, Pei Wu, Feilong Kang, Lina Zhang, Chuanzhong Xuan

“…First, an improved optical flow tracking algorithm based on Shi-Tomasi corner detection is presented. …”
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Atrial Fibrillation Detection by the Combination of Recurrence Complex Network and Convolution Neural Network by Xiaoling Wei, Jimin Li, Chenghao Zhang, Ming Liu, Peng Xiong, Xin Yuan, Yifei Li, Feng Lin, Xiuling Liu

“…In this paper, R wave peak interval independent atrial fibrillation detection algorithm is proposed based on the analysis of the synchronization feature of the electrocardiogram signal by a deep neural network. …”
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