Comparison of Statistical Algorithms for the Detection of Infectious Disease Outbreaks in Large Multiple Surveillance Systems. by Doyo G Enki, Paul H Garthwaite, C Paddy Farrington, Angela Noufaily, Nick J Andrews, Andre Charlett

“…A large-scale multiple surveillance system for infectious disease outbreaks has been in operation in England and Wales since the early 1990s. Changes to the statistical algorithm at the heart of the system were proposed and the purpose of this paper is to compare two new algorithms with the original algorithm. …”
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Distributed denial-of-service (DDOS) attack detection using supervised machine learning algorithms by S. Abiramasundari, V. Ramaswamy

“…The CICIDS2018, CICIDS2017, and CICDDoS-2019 datasets are used to evaluate the performances of ML algorithms. Various performance metrics of these algorithms are studied and compared to find the best algorithm that yields the highest accuracy. …”
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A FAST ALGORITHM FOR COMPUTING SHORT AND LONG –LENGTH LINEAR AND CIRCULAR DISCRETE CONVOLUTION by Ali K. Nahar, Hussein K. Khleaf

“…Though the suggested techniques are geared toward fully parallel hardware implementation, they are contrasted with depending on length N and multiples, fully parallel hardware implementation using the proposed approach requires 40% to 65% less compared to the traditional approach. Since multipliers need a lot more space on the chip and energy than adders, the proposed algorithms are resource and power efficient when implemented on hardware. …”
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Application of Levy flight-based harmony search algorithm for the flexible job shop scheduling by Jun Li, Yang Zhou

“…At the same time, the existing intelligent optimization algorithms are prone to falling into local optimums, which makes it difficult to balance global exploration and local exploitation capabilities. …”
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Optimization of surface roughness for titanium alloy based on multi-strategy fusion snake algorithm. by Nanqi Li, ZuEn Shang, Yang Zhao, Hui Wang, Qiyuan Min

“…Subsequently, the snake algorithm with multi-strategy fusion is introduced. …”
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Spacecraft Trajectory Design Regarding Van Allen Belts by Honey Bee Optimisation Algorithm by Iman Shafieenejad

“…The objective is to minimize the radiation exposure from the Van Allen belts, the optimal criterion for the control problem concerning orbital transfers from low orbits to high orbits. Since the minimum radiation stress criterion introduced in this article is unconventional, solving this optimal control problem is complex, necessitating using the honey bee optimization algorithm.The trajectory optimization in this study involves rewriting the motion equations based on the control variables and solving these newly defined equations using the honey bee optimization method. …”
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Using BERT and ZFNet/ELM optimized by improved Orca optimization algorithm for sentiment analysis by Jun Yang, Jafar Safarzadeh

“…In doing so, Bidirectional Encoder Representations from Transformers (BERT) was utilized, since it takes into account the context of a word based on both its preceding and following words in a sentence. …”
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A Hybrid Seed Node Selection and No-Retracing Random Walk in Page Rank Algorithm by Azam Bastanfard, Ali Kheradbeygi Moghadam, Ali Fallahi RahmatAbadi

“…When choosing between public transportation and aircraft, for example, these algorithms might be used since time is crucial. Additionally, these algorithms are more energy-efficient methods that were looked at.…”
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Development and Study of Algorithms for the Formation of Rules for Network Security Nodes in the Multi-Cloud Platform by Denis I. Parfenov, Irina P. Bolodurina, Vadim A. Torchin

“…In the course of experimental studies, a comparative analysis of the traditional means of rule formation, the neural network approach, and the genetic algorithm was carried out. It is recommended to use the multilayer perceptron neural network classifier for automatic construction of network security rules since it gives the best results in terms of performance. …”
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On Holt Winters Algorithm with Decomposition for Forecasting Financial Time Series with Complex Seasonal Patterns by منى نزيه على عبد البارى

“…The results of the study concluded that the Holt Winters Algorithm or triple exponential smoothing model is the best model since it produces the lowest Mean Absolute Percentage error (MAPE), Mean Absolute Deviation (MAD), and Mean Squared Deviation (MSD) values which are 4,380, 244783 compared to 4, 385, 246837 for SES, and 5, 410, 270734 for DES, and thus can be used to predict the monthly stock returns of the Saudi Stock Index.…”
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CTJ: Input-Output Based Relation Combinatorial Testing Strategy Using Jaya Algorithm by Mohammed Issam Younis, Abdul Rahman A. Alsewari, Ng Yeong Khang, Kamal Z. Zamli

“…The result of applying the Jaya algorithm in input-output based combinatorial testing is acceptable since it produces a nearly optimum number of test cases in a satisfactory time range.…”
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A Temporal Graph Network Algorithm for Detecting Fraudulent Transactions on Online Payment Platforms by Diego Saldaña-Ulloa, Guillermo De Ita Luna, J. Raymundo Marcial-Romero

“…A temporal graph network (TGN) algorithm is introduced to identify fraudulent activities within a digital platform. …”
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Enhanced Orthogonal Matching Pursuit Algorithm and Its Application in Mechanical Equipment Fault Diagnosis by Yong Lv, Jie Luo, Cancan Yi

“…In this paper, an improved linear frequency-modulated (Ilfm) function as an atom is employed in the proposed enhanced orthogonal matching pursuit (EOMP) algorithm. Then, quantum genetic algorithm (QGA) with the OMP algorithm is integrated since the QGA can quickly obtain the global optimal solution of multiple parameters for rapidly and accurately extracting fault characteristic information from the vibration signal. …”
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An Efficient Positioning Algorithm Based on UWB and IMU Fusion in Electric Power Operation Scenes by Kangyong YIN, Wei LIANG, Jibin YANG, Zhiming SUN, Mengzhou ZHU, Peng XIAO

“…The proposed algorithm has good usability since it does not need prior knowledge of the environment and IMU correction. …”
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A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification by Yalin Wang, Xiaofang Chen, Weihua Gui, Chunhua Yang, Lou Caccetta, Honglei Xu

“…Finally, the proposed algorithm is applied to solve a multiobjective optimization model of a grinding and classification process. …”
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An Efficient MapReduce-Based Parallel Clustering Algorithm for Distributed Traffic Subarea Division by Dawen Xia, Binfeng Wang, Yantao Li, Zhuobo Rong, Zili Zhang

“…Traffic subarea division is vital for traffic system management and traffic network analysis in intelligent transportation systems (ITSs). Since existing methods may not be suitable for big traffic data processing, this paper presents a MapReduce-based Parallel Three-Phase K-Means (Par3PKM) algorithm for solving traffic subarea division problem on a widely adopted Hadoop distributed computing platform. …”
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Assessing ML classification algorithms and NLP techniques for depression detection: An experimental case study. by Giuliano Lorenzoni, Cristina Tavares, Nathalia Nascimento, Paulo Alencar, Donald Cowan

“…Additionally, the shortage of specialized personnel is very concerning since depression diagnosis is highly dependent on expert professionals and is time-consuming. …”
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Predicting the Matching Possibility of Online Dating Youths Using Novel Machine Learning Algorithm by Karthikeyan Palanisamy, Muthumani Muralidharan

“…In today's fast-paced society, many choose speed dating since it is efficient and convenient. Speed dating events are organized to allow busy singles to meet a variety of potential partners in a short timeframe, thereby maximizing their chances of making connections. …”
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3-D Moving Target Localization in Multistatic HFSWR: Efficient Algorithm and Performance Analysis by Xun Zhang, Jun Geng, Yunlong Wang, Yijia Guo

“…Theoretical analysis shows that the proposed WLS-ER algorithm can asymptotically attain the Cramér–Rao lower bound (CRLB) as the measurement noise decreases. …”
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Algorithm for Finding Feedback in a Problem with Constraints for One Class of Nonlinear Control Systems by Michail G. Dmitriev, Zainelkhriet N. Murzabekov, Gulbanu A. Mirzakhmedova

“…For a continuous nonlinear control system on a finite time interval with control constraints, where the right-hand side of the dynamics equations is linear in control and linearizable in the vicinity of the zero equilibrium position, we consider the construction of a feedback according to the Kalman algorithm. For this, the solution of an auxiliary optimal control problem with a quadratic functional is used by analogy with the SDRE approach.Since this approach is used in the literature to find suboptimal synthesis in optimal control problems with a quadratic functional with formally linear systems, where all coefficient matrices in differential equations and criteria can contain state variables, then on a finite time interval it becomes necessary to solve a complicated matrix differential Riccati equations, with state-dependent coefficient matrices. …”
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