A novel Smishing defense approach based on meta-heuristic optimization algorithms by Mohammad Alshinwan, Osama A. Khashan, Zakwan Alarnaout, Salam Salameh Shreem, Ahmed Younes Shdefat, Nader Abdel Karim

“…This paper introduces an approach for detecting SMS phishing based on machine learning algorithms. The suggested system incorporates feature extraction, oversampling, and selection and classification optimization algorithms. …”
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An Intelligent Audio Encryption and Compression Algorithm Inspired by the Encoding of Various Biological Sequences by Mohammad Nassef

“…Biological sequences retain huge amount of information which present new horizon over legacy encryption algorithms in terms of encoding capacity. This article introduces an intelligent audio encryption and compression framework, namely Audio-to-Peptide (A2P), that mimics the successive generation of biological sequences to successively encrypt and compress sequences of frames in raw WAV audio files. …”
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Computerised Method of Multiparameter Optimisation of Predictive Control Algorithms for Asynchronous Electric Drives by Grygorii Diachenko, Serhii Semenov, Katarzyna Marczak, Gernot Schullerus, Ivan Laktionov

“…This article addresses the problem of increasing the energy efficiency of electromechanical systems driven by asynchronous electric drives. …”
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A Ultra-Low Cost and Accurate AMC Algorithm and Its Hardware Implementation by Yuqin Zhao, Tiantai Deng, Bill Gavin, Edward A. Ball, Luke Seed

“…To address the challenges of speed and accuracy, this article presents a low-cost, and accurate AMC algorithm and its FPGA implementation that can achieve both fast and accurate results at the same time. …”
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Calculation of the steady-state mode of the electric network using a genetic algorithm by V. I. Polischuk, V. A. Tkachenko, A. O. Shepelev

“…Introduction. This article discusses the application of evolutionary optimization methods in problems of calculating the steady-state mode of an electrical network, in particular, genetic algorithms.Goal. …”
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Cloud computing virtualization technology based on bandwidth resource-aware migration algorithm by Jin Zhiwei

“…However, issues such as resource overload and inefficient migration still exist. Given this, the article proposes a bandwidth-aware virtual network migration algorithm. …”
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Border following–based reversible watermarking algorithm for images with resistance to histogram overflowing by Xin Tang, Linna Zhou, Dan Liu, Weijie Shan, Yi Zhang

“…In this article, in order to deal with overflowing problem efficiently, we propose a border following–based reversible watermarking algorithm for images. …”
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Model Predictive Control Algorithm for Converter Based on a Convolutional Neural Network by Kun Shen, Mengyao Wu, Rongbin Chen

“…In the finite control set model predictive control (FCSMPC) algorithm for a converter based on a neural network, the optimal control variables computed by neural network controllers achieve decoupling between the optimal FCSMPC algorithm design and online computational burden. …”
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Adaptive production strategy in vertical farm digital twins with Q-learning algorithms by Yujia Luo, Peter Ball

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Solving Transport Infrastructure Investment Project Selection and Scheduling Using Genetic Algorithms by Karel Ječmen, Denisa Mocková, Dušan Teichmann

“…We propose a genetic algorithm as a decision-support tool, framing the problem as an NP-hard 0–1 multiple knapsack problem. …”
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Adaptive Management of Multi-Scenario Projects in Cybersecurity: Models and Algorithms for Decision-Making by Vadim Tynchenko, Alexander Lomazov, Vadim Lomazov, Dmitry Evsyukov, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Ivan Malashin

“…Scenario network-based approaches have emerged as effective strategies for managing uncertainty and adaptability in cybersecurity projects. This article introduces a scenario network-based approach for managing cybersecurity projects, utilizing fuzzy linguistic models and a Takagi–Sugeno–Kanga fuzzy neural network. …”
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Training of the feed-forward artificial neural networks using butterfly optimization algorithm by Şaban Gülcü, Büşra Irmak

“…To overcome these difficulties, meta-heuristic algorithms have been used to train MLP. In this article, the Butterfly Optimization Algorithm (BOA) which was designed by modeling the behaviors of butterflies was used for the first time to train the multi-layer perceptron. …”
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A One-Stage HMDV Algorithm Applied in Multitarget Detection in SAR Images by Lei Pang, Weihe Huang, Fengli Zhang, Yinhong Song

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Artificial Intelligence in Criminalistics and Forensic Examination: Issues of Legal Personality and Algorithmic Bias by A. V. Kokin, Yu. D. Denisov

“…It is the use of mathematical data models that enables computer training through specialized algorithms and training data. Algorithms can create or reproduce distortions and inaccuracies unintentionally embedded in the training data, which causes the manifestation of algorithmic bias. …”
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Spatiotemporal correlation–based adaptive sampling algorithm for clustered wireless sensor networks by Wenyu Cai, Meiyan Zhang

“…Given this hypothesis, this article proposed an adaptive sampling algorithm based on temporal and spatial correlation of sensory data for clustered WSNs. …”
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Dynamic and adaptive multi-path routing algorithm based on software-defined network by Wu Jiawei, Qiao Xiuquan, Nan Guoshun

“…Against this changing network landscape, this article proposes a dynamic and adaptive multi-path routing algorithm under three constraints (packet loss, time delay, and bandwidth) that are based on software-defined network for centralized routing computations and real-time network state updating in multimedia applications. …”
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FUZZY ALGORITHM TO CONTROL REACTIVE POWER FLOW IN ELECTRIC NETWORK WITH NONLINEAR LOADS by H. B. Guliyev

“…This could considerably change the magnitude and direction of reactive power flow in a grid and impair the existing processes of reactive power control. The scheme and the algorithm of control of capacitor banks in networks with non-linear load that are based on the use of fuzzy logic software are presented in the article. …”
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Comparison and Analysis of Algorithms for Coordinated EV Charging to Reduce Power Grid Impact by Cesar Diaz-Londono, Paolo Maffezzoni, Luca Daniel, Giambattista Gruosso

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Exploring Evolutionary Algorithms for Optimal Power Flow: A Comprehensive Review and Analysis by Harish Pulluri, Vedik Basetti, B. Srikanth Goud, CH. Naga Sai Kalyan

“…Multi-objective approaches are frequently employed in modern OPF problems to balance trade-offs between competing objectives like cost minimization, loss reduction, and environmental impact. This article presents an in-depth review of various OPF problems and the wide array of algorithms, both traditional and evolutionary, applied to solve these problems, paying special attention to wind power integration and multi-objective optimization strategies.…”
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IMPROVING AGRICULTURAL YIELDS IN THE DEMOCRATIC REPUBLIC OF CONGO USING MACHINE LEARNING ALGORITHMS by Rodolphe Nsimba Malumba, Mardochee Longo Kayembe, Fiston Chrisnovic Balanganayi Kabutakapua, Bopatriciat Boluma Mangata, Trésor MAZAMBI KILONGO, Rufin Tabiaki Tandele, Emmanuel Ntanyungu Ndizieye, Parfum Bukanga Christian

“…This article presents an analysis of agricultural yields in the Democratic Republic of Congo (DRC) using machine learning algorithms. …”
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