An Efficient Tourism Path Approach Based on Improved Ant Colony Optimization in Hilly Areas by Mohamed A. Damos, Wenbo Xu, Jun Zhu, Ali Ahmed, Abdolraheem Khader

“…Although widely used, this algorithm faces a number of limitations due to its slow implementation and pheromone update rules. …”
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SYNTHESIS METHODS OF ALGEBRAIC NORMAL FORM OF MANY-VALUED LOGIC FUNCTIONS by A. V. Sokolov, O. N. Zhdanov, O. A. Ayvazian

“…The results could be the basis for further theoretical research and practical applications such as: the development of new cryptographic primitives, error-correcting codes, algorithms of data compression, signal structures, and algorithms of block and stream encryption, all based on the perspective principles of many-valued logic. …”
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A Study of an Anomaly Detection System for Small Hydropower Data considering Multivariate Time Series by Bo Yang, Zhongliang Lyu, Hua Wei

“…Although many anomaly detection algorithms have been introduced in the data preprocessing stage in various research areas, there is still little research on effective and highly reliable anomaly detection systems for practical applications in small hydropower stations. …”
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A novel transmission-augmented deep unfolding network with consideration of residual recovery by Zhijie Zhang, Huang Bai, Ljubiša Stanković, Junmei Sun, Xiumei Li

“…Nevertheless, these iterative algorithms suffer from the high computational complexity. …”
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Cyberattack Monitoring Architectures for Resilient Operation of Connected and Automated Vehicles by Zulqarnain H. Khattak, Brian L. Smith, Michael D. Fontaine

“…The monitoring system detects any deviations from the normal operation of CAVs using a long-short term memory (LSTM) neural network proposed by the authors and reverts the system back to a safe state of operation using a set of countermeasures. The proposed algorithm was also compared to convolutional neural network (CNN) and other classical algorithms. …”
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A SYNTHESIS METHOD OF BASIC TERNARY BENT-SQUARES BASED ON THE TRIAD SHIFT OPERATOR by O. N. Zhdanov, A. V. Sokolov

“…The paper results are valuable for practical use: the development of new constant amplitude codes for MC-CDMA technology, cryptographic primitives, data compression algorithms, signal structures, algorithms of block and stream encryption, based on advanced principles of many-valued logic. …”
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Undersampled Blade Tip-Timing Vibration Reconstruction under Rotating Speed Fluctuation: Uniform and Nonuniform Sensor Configurations by Zhongsheng Chen, Jing He, Chi Zhan

“…Then, two NTT-based reconstruction algorithms are derived for uniform and nonuniform BTT sensor configurations, respectively. …”
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Optimal Dependence of Performance and Efficiency of Collaborative Filtering on Random Stratified Subsampling by Samin Poudel, Marwan Bikdash

“…Dropping fractions of users or items judiciously can reduce the computational cost of Collaborative Filtering (CF) algorithms. The effect of this subsampling on the computing time and accuracy of CF is not fully understood, and clear guidelines for selecting optimal or even appropriate subsampling levels are not available. …”
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A Novel Approach for Stock Price Prediction Using Gradient Boosting Machine with Feature Engineering (GBM-wFE) by Rebwar M. Nabi, Soran Ab. M. Saeed, Habibollah Harron

“…Finally, seven ensemble machine learning (ML) algorithms are used and compared to discover the ultimate collaboration prediction model. …”
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Feature Extraction and Recognition of Medical CT Images Based on Mumford-Shah Model by Lumin Fan, Lingli Shen, Xinghua Zuo

“…In this paper, we propose an improved algorithm based on the active contour model Mumford-Shah model for CT images, which is the subject of this study. …”
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Predicting child mortality determinants in Uttar Pradesh using Machine Learning: Insights from the National Family and Health Survey (2019–21) by Pinky Pandey, Sacheendra Shukla, Niraj Kumar Singh, Mukesh Kumar

“…Aim: This study aimed to delineate spatial variations in under-five mortality across Uttar Pradesh and evaluate the efficacy of various machine learning algorithms in identifying critical determinants influencing these mortality rates. …”
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A Novel Security Methodology for Smart Grids: A Case Study of Microcomputer-Based Encryption for PMU Devices by Metin Varan, Akif Akgul, Fatih Kurugollu, Ahmet Sansli, Kim Smith

“…In this study, a two-way secure communication methodology underpinned by a chaos-based encryption algorithm for PMU devices is proposed. The proposed system uses the IEEE-14 busbar system on which the optimum PMU placement has been installed. …”
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Research on the Spread Path and Evolution Causes of Oral Language in the Digital Era by Zhiqiang Li

“…Through experiments on chaotic time series data sets, we find that HD-MFEA neuro-evolution algorithm is far superior to other evolutionary algorithms, and its convergence speed and accuracy are better than the gradient algorithm commonly used in neural network training.…”
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Random Forests in Count Data Modelling: An Analysis of the Influence of Data Features and Overdispersion on Regression Performance by Ciza Arsène Mushagalusa, Adandé Belarmain Fandohan, Romain Glèlè Kakaï

“…Machine learning algorithms, especially random forests (RFs), have become an integrated part of the modern scientific methodology and represent an efficient alternative to conventional parametric algorithms. …”
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A retrial queueing system with processor sharing and impatient customers by V. I. Klimenok

“…A condition for the existence of a stationary distribution is found, and algorithms for calculating the stationary distribution and stationary performance characteristics of the system are proposed.Methods. …”
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A Proactive Robust Scheduling Method for Aircraft Carrier Flight Deck Operations with Stochastic Durations by Xichao Su, Wei Han, Yu Wu, Yong Zhang, Jie Liu

“…Simulation results shows that the HTLBO algorithm outperforms both some other state-of-the-art algorithms for deterministic cases and some existing algorithms for stochastic project scheduling, and the robustness of the flight deck operations can be improved with the proposed resource allocation schemes and CPC policy.…”
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Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operators by Ala Saleh Alluhaidan, Diaa Salama AbdElminaam, Taraggy M. Ghanim, Sahar A. El-Rahman, Ibrahim Shawky Farahat, Arar Al Tawil, Yasmin Alkady, Walaa H. Elashmawi

“…This study presents PV parameter estimation using the enhanced Sinh Cosh Optimizer (I_SCHO), incorporating trigonometric operators from the Sine Cosine Algorithm (SCA). This integration improves the algorithm’s ability to navigate complex search spaces, avoid local optima, and expedite convergence. …”
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An adaptive voltage reference based multi-objective line flow control methods for MMC-MTDC system by Yuanshi Zhang, Wenyan Qian, Yiwen Feng, Fei Zhang, Chenyi Zheng, Qinran Hu, Liwei Wang

“…A pre-evaluation method is proposed to choose appropriate control variables and accelerate the convergence of optimization algorithms. The effectiveness of the proposed approach is validated through comparisons with several algorithms. …”
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Deep Reinforcement Learning Assisted UAV Path Planning Relying on Cumulative Reward Mode and Region Segmentation by Zhipeng Wang, Soon Xin Ng, Mohammed EI-Hajjar

“…Hence, we propose a Deep Reinforcement Learning (DRL) UAV path planning algorithm based on cumulative reward and region segmentation. …”
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Study on a New Method of Link-Based Link Prediction in the Context of Big Data by Chen Jicheng, Chen Hongchang, Li Hanchao

“…It uses this concept to recommend friends by checking their links using various algorithms. The same goes for shopping and e-commerce sites. …”
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