Identification of soil texture and color using machine learning algorithms and satellite imagery by Jiyang Wang

“…The differences in error metrics, including RMSE, AMAPE, MAE, MSE, and RPD, between SVR and DTR methods were 0, 0.2, 0, 0, and 0.8 for Hue and 0.41, 5, 0.1, 0.1, and 0.87 for sand, respectively. For future research, it is recommended to explore the combination of SVR with optimization techniques such as genetic algorithms to further improve the accuracy of soil texture and color predictions.…”
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Fine-Pruning: A biologically inspired algorithm for personalization of machine learning models by Joseph Bingham, Saman Zonouz, Dvir Aran

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Using The Hybrid GA-Ant Algorithm To Find The Optimal Path In Computer Networks by Ibtisam Turki

“…In order to research and find the optimal path, the improved ant algorithm was used to explore the network, using smart beams, getting the paths generated by ants and then using them as inputs into the genetic algorithm in the form of arranged pairs of chromosomes. …”
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Optimization model for enterprise financial management utilizing genetic algorithms and fuzzy logic by Sujuan Wang, Musadaq Mansoor

“…To improve predictive accuracy, the study integrates genetic algorithms with back-propagation (BP) neural networks, leveraging genetic algorithms to optimize the neural network’s parameters and structure. …”
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An improved algorithm of segmented orthogonal matching pursuit based on wireless sensor networks by Xinmiao Lu, Yanwen Su, Qiong Wu, Yuhan Wei, Jiaxu Wang

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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

“…Prospects for further research will focus on hybrid intelligent architectures to enhance adaptability and integration into automated systems.…”
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Optically Induced Dielectrophoresis and Machine Learning Algorithms for the Identification of the Circulating Tumor Cells by Joanna Filippi, Francesca Corsi, Paola Casti, Gianni Antonelli, Michele D’Orazio, Francesco Capradossi, Rosamaria Capuano, Giorgia Curci, Lina Ghibelli, Arianna Mencattini, Eugenio Martinelli

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Evaluating the Efficiency of Nature-Inspired Algorithms for Finite Element Optimization in the ANSYS Environment by Antonino Cirello, Tommaso Ingrassia, Antonio Mancuso, Giuseppe Marannano, Agostino Igor Mirulla, Vito Ricotta

“…This study investigates the feasibility and benefits of embedding three prominent metaheuristic algorithms, the Genetic Algorithm (GA), the Firefly Algorithm (FA), and the Group Search Optimizer (GSO) embedded into the ANSYS Parametric Design Language (APDL). …”
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An Improved Whale Optimization Algorithm for the Clean Production Transformation of Automotive Body Painting by Qin Yang, Xinning Li, Teng Yang, Hu Wu, Liwen Zhang

“…Research on clean production in automotive painting processes is a core component of achieving green manufacturing, addressing environmental regulatory challenges, and advancing sustainable development in the automotive industry by reducing volatile organic compound (VOC) emissions, optimizing resource utilization, and minimizing energy consumption. …”
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Path Planning of UAV Using Levy Pelican Optimization Algorithm In Mountain Environment by Guiliang Zhou, Shuaiqi Lü, Lina Mao, Kaiwen Xu, Tianwen Bao, Xu Bao

“…Research has found that the improved LPOA optimizes the total target cost of the algorithm by 9.75% and optimizes the planned average shortest path by 20.30%.…”
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A chaotic digital signature algorithm based on a dynamic substitution box by Rolando Flores-Carapia, Víctor Manuel Silva-García, Manuel Alejandro Cardona-López, Miguel Gabriel Villarreal-Cervantes

“…A key challenge is minimizing computationally intensive operations, such as modular inverses, without compromising security. In this research, we propose the DSADH $$\pi$$ algorithm, which introduces a confusion step directly into the signature itself, rather than only applying it to the message, using a dynamic substitution box. …”
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A Robust Capon Beamforming Algorithm with Desired Signal Steering Vector Correction by Zhiqi Gao, Bowen Wu, Pingping Huang, Wei Xu, Weixian Tan, Zhixia Wu

“…However, when the steering vector of the desired signal is mismatched, the performance of the Capon beamforming algorithm degrades. In addressing this challenge, the present research introduces a refined algorithm. …”
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Reversible Data Hiding Algorithm in Encrypted Images with Difference Encoding and Block Compression by Guoqing GE, Bin GE, Chenxing XIA, Zhimeng WANG

“…The experimental results show that the proposed algorithm has a greater embedding rate and better security than several existing algorithms. …”
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Performance and improvement of deep learning algorithms based on LSTM in traffic flow prediction by Wei Xu, Eric Blancaflor, Mideth Abisado

“…Abstract Existing traffic flow prediction research lacks adaptability to complex traffic scenarios and has limited prediction accuracy. …”
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Flood Area Prediction using a Stacked Ensemble of Tree-Based Algorithms by Olusogo Julius Adetunji

“…Floods cause significant loss of life, property damage, and long-term socioeconomic disruptions, with over 100 annual deaths globally. This research addresses the drawbacks of the existing models, such as overfitting effects, inadequate dataset and limited study areas through the adoption of a stacked ensemble-based model. …”
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Differential diagnosis algorithm of endogenous catatonia, catatonia-morphic and catatonia-mimicking states by D. N. Safonov

“…The aim is to develop pathomorphosis adapted clinical algorithm of endogenous catatonia differential diagnostics. …”
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Anomaly detection using unsupervised machine learning algorithms: A simulation study by Edmund Fosu Agyemang

“…The findings reveal significant variations in performance, highlighting the strengths and limitations of each method in identifying anomalies. This research contributes to the field of machine learning by demonstrating that the selection of an anomaly detection algorithm should be a considered decision, taking into account the specific characteristics of the data and the operational context of its application. …”
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Development of Digital Twin for FDM Printer With Preventive Cyber-Attack and Control Algorithms by Md Hazrat Ali, Asad Waqar Malik, Nursultan Jyeniskhan, Muhammad Arif Mahmood, Essam Shehab, Frank Liou

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Genetic Algorithms Applied to Optimize Neural Network Training in Reference Evapotranspiration Estimation by Eluã Ramos Coutinho, Jonni G.F. Madeira, Robson Mariano da Silva, Angel Ramon Sanchez Delgado, Alvaro L.G.A. Coutinho

“…Consequently, determining information that can minimize water consumption, such as evapotranspiration, is increasingly necessary. This research evaluates the capacity of Genetic Algorithms (GAs) in training and fine-tuning the parameters of Artificial Neural Networks (ANNs) (MLP-GA) to obtain daily values of reference evapotranspiration (ETo) in accordance with the Penman-Monteith FAO-56 method. …”
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Algorithm for False Alarm Stabilization against the Background of Nonstationary Noise with Trend Estimation by V. A. Belokurov, T. Q. Nguyen

“…The effectiveness of the proposed algorithm was assessed using a simulation method. When working against the background of nonstationary noise, the proposed algorithm reduces the detection threshold compared to an algorithm based on calculating noise dispersion in a sliding window.Aim. …”
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