Cloud-Based Transaction Fraud Detection: An In-depth Analysis of ML Algorithms by Ali Alhchaimi

“…Objectives: This study assesses machine learning (ML) algorithms' ability to detect fraud in cloud environments, focusing on Logistic Regression (LR), Decision Trees (DT), Random Forest (RF), Support Vector Machines (SVM), and XGBoost (XGB). …”
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Network function heterogeneous redundancy deployment method based on immune algorithm by Qingqing ZHANG, Hongbo TANG, Wei YOU, Yingle LI

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Multiobjective Collective Decision Optimization Algorithm for Economic Emission Dispatch Problem by Xinlin Xu, Zhongbo Hu, Qinghua Su, Zenggang Xiong

“…The collective decision optimization algorithm (CDOA) is a new stochastic population-based evolutionary algorithm which simulates the decision behavior of human. …”
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A Novel Prescribed-Time Convergence Acceleration Algorithm with Time Rescaling by Xuehui Mei, Pengrui Zhang, Haijun Jiang, Zhiyong Yu

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COSMIC: A Galaxy Cluster–Finding Algorithm Using Machine Learning by Da-Chuan Tian, Yang Yang, Zhong-Lue Wen, Jun-Qing Xia

“…In this paper, we present Cluster Optical Search using Machine Intelligence in Catalogs (COSMIC), an algorithm utilizing machine learning techniques to efficiently detect galaxy clusters. …”
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Intelligent Tourism Personalized Recommendation Based on Multi-Fusion of Clustering Algorithms by HongYan Liang

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Quantum Algorithms for the Physical Layer: Potential Applications to Physical Layer Security by Toshiki Matsumine, Hideki Ochiai, Junji Shikata

Subjects: “…Hybrid quantum-classical algorithms…”
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Modified absolute value cumulating spectrum sensing algorithm in cognitive radio by Zhiyong HE

“…Absolute value cumulating (AVC) algorithm is a common spectrum sensing method in Laplacian noise (LED) surroundings,however,the ‘spikes or outliers' in Laplacian noise can't be fully smoothed,which results in bad detection performance.Aiming at this problem,an modified AVC spectrum sensing algorithm was proposed.The principle was to do the processing of the absolute value of the received signal and the processing result was accumulated as the test statistic to determine whether there was the main user and realize the spectrum sensing.In addition,the central limit theorem was used to deduce the probability density curve of the proposed test statistic in the absence of the primary user,and the theoretical decision threshold was given.Numerical results show that the proposed algorithm outperforms the AVC sensing algorithm and energy detection algorithm with Laplacian noise about 1 dB and 4 dB respectively.…”
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Heterogeneous Wireless Network Resource Management Algorithm Based on Reinforcement Learning by Chenwei Feng, Jiangnan Yuan

“…In order to make full use of the resources of all kinds of wireless network，the integration of heterogeneous network is necessary.However，when it comes to the heterogeneous network integration，the problems of call request access control and resource management emerge.A reinforcement-learning-based algorithm was presented for heterogeneous wireless network resource management.D2D （device-to-device）communication was introduced into the proposed algorithm and the appropriate network for access could be selected according to different traffic types，terminal mobility，network load status and so on.Meanwhile，to reduce the storage requirement，the neural network technology was used to solve the problem of continuous state space.Simulation results show that the proposed algorithm has an efficient learning ability to achieve autonomous radio resource management，which effectively improves the spectrum utility and reduces the blocking probability.…”
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Optimization of Tourism Information Analysis System Based on Big Data Algorithm by Jing Yang, Bing Zheng, Zhenghua Chen

“…The preprocessing methods and methods adopted by the data preprocessing module are analyzed in detail, and the algorithms used in the travel route analysis and consumer spending ability analysis are described in detail. …”
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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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Road vehicle detection based on improved YOLOv3-SPP algorithm by Tao WANG, Hao FENG, Rongxin MI, Lin LI, Zhenxue HE, Yiming FU, Shu WU

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CSI feedback algorithm based on deep unfolding for massive MIMO systems by Yong LIAO, Gang CHENG, Yujie LI

“…In order to solve the problem that the channel state information (CSI) feedback algorithm based on deep learning in massive MIMO systems at present had too many parameters to be trained and could not be explained well, two CSI feedback algorithms based on depth expansion were proposed.The first one was approximate message delivery (AMP) algorithm based on learnable parameters.The learnable parameters in deep learning were used to replace the threshold value of the threshold function in the AMP algorithm and the parameters of the Onsage correction term.The nonlinear ability of threshold function in dealing with non-strict sparse data was enhanced.The other was the AMP algorithm based on convolutional network, which replaced the threshold function module with the convolutional residual learning module, and used the module to remove the Gaussian random noise generated by each iteration of the AMP algorithm.Simulation results show that the proposed two algorithms have better CSI feedback performance than AMP algorithm, and the AMP algorithm based on convolutional network has better CSI reconstruction performance than the representative method based on deep learning.…”
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SMS seed customers mining model and algorithm based on content analysis by Zhichao HUANG, Juncai TAO, Shengbao GAO

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Speed Proportional Integrative Derivative Controller: Optimization Functions in Metaheuristic Algorithms by Luis Fernando de Mingo López, Francisco Serradilla García, José Eugenio Naranjo Hernández, Nuria Gómez Blas

“…Some metaheuristic algorithms are based on social behaviour, resulting in several search models, functions, and parameters, and thus algorithm-specific strengths and weaknesses. …”
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Effective Application of Improved Profit-Mining Algorithm for the Interday Trading Model by Yu-Lung Hsieh, Don-Lin Yang, Jungpin Wu

“…In this paper we go into details of our improved profit-mining algorithm and showcase effective applications with experiments using real world trading data. …”
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Novel Algorithms for Solving a System of Absolute Value Variational Inequalities by Safeera Batool, Muhammad Aslam Noor, Riaz Ahmad, Ilyas Khan, Mulugeta Andualem

“…By utilizing an auxiliary principle and the existence result, we propose several new iterative algorithms for solving the system of absolute value auxiliary variational inequalities in the frame of four different operators. …”
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Focusing of Spotlight Tandem-Configuration Bistatic Data with Frequency Scaling Algorithm by Shichao Chen, Ming Liu, Jun Wang, Fugang Lu, Mengdao Xing

“…A frequency scaling (FS) imaging algorithm is proposed for spotlight bistatic SAR data processing. …”
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Depth first traversal algorithm for the back-off tree of distributed queuing by Wennai WANG, Yanhe ZHANG, Wei WU, Chen BAI, Bin WANG

“…An analytic model was provided for the conventional distributed queueing (DQ) and its back-off tree operations, followed by a design of improving algorithm based on depth first traversal.Combing the specific analysis of complete binary tree with generalized extension by random tree reconstruction, the performance of proposed algorithm was evaluated on the throughput in both theory and simulation experiment.A theoretic optimal solution of contention slots of DQ frame and a brief description of simulation extension based on the open source NS-3 were presented.The simulation results show that the maximum stationary throughput by the proposed algorithm reaches 70% of the physical capacity of channel.…”
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A Multi-Branch Anchor-Free Detection Algorithm for Hospital Pedestrian by Keqiang Li, Yifan Li, Yiyi Wang, Haining Yu, Huan Zhang

“…This paper proposes a multi-branch anchor-free algorithm for hospital pedestrian detection. Firstly, a multi-branch network structure is added after the backbone network of the model to adapt to multiple key local features of pedestrian targets. …”
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