Satellite Mission Instruction Sequence Generation Algorithm Using a Flexible Weighted Directed Graph by Zhang Yahang, Zhang Jiakai, Yang Mengfei, Yang Peiyao, Song Xiangshuai

“…Based on this model, the satellite instruction sequence generation algorithm was designed. After practice and research, the result showed that according to the new algorithm, the instruction sequence can be consistent with all implement zones, consequently guaranteeing the correctness of the sequence.…”
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Diagnostic algorithm of patients’ with pathology of endocrine system examination which demand simultaneous operative treatment by S. N. Zavgorodnii, A. I. Rylov, M. B. Daniluk, O. S. Dolya, A. I. Marusii

“…Diagnostic algorithm of examination of patients with pathology of endocrine system that will permit to detect combined surgical pathology is needed.…”
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English listening and speaking ability evaluation model fusing computer vision and speech recognition algorithms by Yihui Zeng

“…Traditional English listening and speaking ability evaluation mostly uses speech recognition algorithm as the evaluation method, but evaluation features are rather limited, which leads to insufficient accuracy of the results. …”
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Advanced Control Algorithm for Shunt Active Power Filter: Enhancing Power Quality in Autonomous Grids by Agata Bielecka

“…This paper proposes an advanced predictive control algorithm with feedback from the supply current developed for a shunt active power filter. …”
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Energy optimization and plant comfort management in smart greenhouses using the artificial bee colony algorithm by Muhammad Jawad, Fazli Wahid, Sikandar Ali, Yingliang Ma, Ahmed Alkhyyat, Jawad Khan, Youngmoon Lee

“…Additionally, the suggested method was contrasted with other effective algorithms, such as Genetic Algorithm (GA), Firefly Algorithm (FA), and Ant Colony Optimization (ACO). …”
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A Comprehensive Review of Artificial Intelligence-Based Algorithms for Predicting the Remaining Useful Life of Equipment by Weihao Li, Jianhua Chen, Sijuan Chen, Peilin Li, Bing Zhang, Ming Wang, Ming Yang, Jipu Wang, Dejian Zhou, Junsen Yun

“…While significant advancements in computer hardware and artificial intelligence (AI) algorithms have catalyzed substantial progress in AI-based RUL prediction, extant research frequently exhibits a narrow focus on specific algorithms, neglecting a comprehensive and comparative analysis of AI techniques across diverse equipment types and operational scenarios. …”
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Machine learning applications in river research: Trends, opportunities and challenges by Long Ho, Peter Goethals

“…In contrast, river researchers have had few applications in multiclass and multilabel algorithm, associate rule and Naïve Bayes. …”
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Cascading quantum walks with Chebyshev map for designing a robust medical image encryption algorithm by Fahad Alblehai, Ahmed A. Abd El-Latif, Paweł Pławiak, Bassem Abd-El-Atty

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Combines the Apriori and FCM Algorithm to Improve the Extracted Association Rules with Determine the Minimum Support Automatically by Heydar Jafarzadeh, Chamran Asgari, Amir Amiry

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Urban Microcirculation Traffic Network Planning Method Based on Fast Search Random Tree Algorithm by Ning YU

“…These advantages highlight the practicality and effectiveness of this research method.…”
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Optimal Charging Algorithm Based on Receding Horizon Framework for Electric Two-Wheeler Charging Stations by Van Nguyen Ngoc, Duc Nguyen Huu

“…The algorithm aims at improving the total load profile as well as load leveling, peak shaving and valley filling. …”
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A Mixed Integer Programming Poultry Feed Ration Optimisation Problem Using the Bat Algorithm by Godfrey Chagwiza, Chipo Chivuraise, Christopher T. Gadzirayi

“…An attempt to find the optimal quantities of Moringa oleifera inclusion into the poultry feed ration was done and the problem was solved using the Bat algorithm and the Cplex solver. The study used findings of previous research to investigate the effects of Moringa oleifera inclusion in poultry feed ration. …”
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Fuzzy clustering based scheduling algorithm for minimizing the tasks completion time in cloud computing environment by Nawaf R. Alharbe

“…Abstract This paper explores the complexity of project planning in a cloud computing environment and recognizes the challenges associated with distributed resources, heterogeneity, and dynamic changes in workloads. This research introduces a fresh approach to planning cloud resources more effectively by utilizing fuzzy waterfall techniques. …”
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A Study of Smart Power Control Algorithm Using RF Communication in Smart Home Environment by Su-hong Shin, Kyoung-hwa Do, Byoung-soo Koh

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PREDICTION OF TBM OIL TEMPERATURE BY IMPROVED CAMEL ALGORITHM ASSISTED RANDOM FOREST MODEL (MT) by REN JianJi, ZHAO RunQiu, WANG ZhenXi, LIU YuMing, YUAN YongLiang

“…Firstly, the traditional camel algorithm was improved by using the proposed strategies. …”
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Improved genetic algorithm based on greedy and simulated annealing ideas for vascular robot ordering strategy. by Zixi Wang, Yubo Huang, Yukai Zhang, Yifei Sheng, Xin Lai, Peng Lu

“…To address these challenges, this research introduces a novel strategy, combining mathematical modeling, a hybrid genetic algorithm, and ARIMA time series forecasting. …”
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Optimizing Performance of AdaBoost Algorithm through Undersampling and Hyperparameter Tuning on CICIoT 2023 Dataset by Sahrul Fahrezi Fahrezi, Adhitya Nugraha, Ardytha Luthfiarta, Nauval Dwi Primadya

“…Based on research and discussion regarding optimization of the n_estimator value and algorithm in the AdaBoost algorithm on the CICIoT 2023 dataset that has been undersampled and using the grid search cv method, the most optimal n_estimator value is 500 and the most optimal algorithm value is SAMME with an accuracy rate of 0.78 and a recall value of 0.78. …”
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Enhanced Network Traffic Classification Using Bayesian-Optimized Logistic Regression and Random Forest Algorithm by Manisankar Sannigrahi, R. Thandeeswaran

“…It examines the performance of a logistic regression model enhanced by Bayesian optimization for detecting TOR traffic using the UNB-CIC TOR-NonTOR datasets and a Bayesian-optimized random forest model for the CIC-Darknet2020 dataset. The research evaluates four key machine learning algorithms: Random forest, logistic regression, support vector machine (SVM), and K-nearest neighbors (K-NN). …”
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Optimizing cryptographic protocols against side channel attacks using WGAN-GP and genetic algorithms by Purushottam Singh, Prashant Pranav, Sandip Dutta

“…Abstract This research introduces a novel hybrid cryptographic framework that combines traditional cryptographic protocols with advanced methodologies, specifically Wasserstein Generative Adversarial Networks with Gradient Penalty (WGAN-GP) and Genetic Algorithms (GA). …”
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QoS-aware enhanced proportional faire scheduling algorithm for real-time services in LTE networks by Mahnaz Sotoudeh Bahreyni, Vahid Sattari-Naeini

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