Uncovering the impact of outliers on clusters’ evolution in temporal data-sets: an empirical analysis by Muhammad Atif, Muhammad Farooq, Muhammad Shafiq, Tmader Alballa, Somayah Abdualziz Alhabeeb, Hamiden Abd El-Wahed Khalifa

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Machine learning algorithms to predict epidural-related maternal fever: a retrospective study by Xiaohui Guo, Xiaohui Guo, Xiaohui Guo, Haixia Zhang, Haixia Zhang, Haixia Zhang, Hongliang Mei, Hongliang Mei, Hongliang Mei

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An artificial intelligence technique: experimental analysis of population-based physarum-energy optimization algorithm by Mehmet Fatih Demiral

“…Abstract The traveling salesman problem (TSP) is an NP-hard problem being studied by many researchers. Metaheuristic algorithms generally depend on nature-inspired phenomena successfully applied to combinatorial optimization, such as routing, scheduling, assignment problems, engineering, optimization, genetics, robotics, nanotechnology, and various fields. …”
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High-precision positioning of robotic systems on programme trajectories using satellite navigation measurements by S. V. Sokolov, A. I. Okhotnikov, D. V. Marshakov, I. V. Reshetnikova

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Modeling and optimization of power consumption for multi-core processors: A thermodynamic perspectiveModeling-and-Optimization-of-Power-Consumption-for-Multi-core-Processors-A-Ther... by Xiaoxuan Peng, Litao Yan, Qiang Li, Xiaohu Ge, Yonghui Li

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Microtubule flexibility, microtubule-based nucleation and ROP pattern co-alignment enhance protoxylem microtubule patterning by Bas Jacobs, Marco Saltini, Jaap Molenaar, Laura Filion, Eva E. Deinum

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Prognostication of advanced CO2 capture using tunable solvents with an ensemble learning-based decision tree model by Reza Soleimani, Amir Hossein Saeedi Dehaghani, Ziba Behtouei, Hamidreza Farahani, Seyyed Mohsen Hashemi

“…Abstract This study presents a robust method for predicting CO2 solubility in Deep Eutectic Solvents (DESs) using the stochastic gradient boosting (SGB) algorithm. DESs, promising green solvents for CO2 capture, require precise solubility data for practical applications in industrial and environmental settings. …”
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Development of an Intelligent Method for Target Tracking in Radar Systems at the Initial Stage of Operation Under Intentional Jamming Conditions by Serhii Semenov, Olga Wasiuta, Alla Jammine, Justyna Golec, Magdalena Krupska-Klimczak, Yevhen Tarasenko, Vitalii Voronets, Vitalii Breslavets, Serhii Lvov, Artem Moskalenko

“…The object of this research is the process of tracking air targets at the initial stage of radar system operation. …”
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An artificial neural network and Levenberg-Marquardt training algorithm-based mathematical model for performance prediction by Farheen Bano, Suhail H. Serbaya, Ali Rizwan, Mohammad Shabaz, Faraz Hasan, Hany S. Khalifa

“…Moreover, an artificial neural network is also applied to get the stochastic results of ANNs-LMB, also known as the Levenberg-Marquardt training algorithm. …”
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Optimal Reactive Power Flow for Large-Scale Power Systems Using an Effective Metaheuristic Algorithm by Thanh Long Duong, Minh Quan Duong, Van-Duc Phan, Thang Trung Nguyen

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Optimization of TCN-BiLSTM for dissolved oxygen prediction based on improved sparrow search algorithm by Pei Shi, Mingjie Tang, Quan Wang, Xiaofei Ma

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A survey on multi-agent reinforcement learning and its application by Zepeng Ning, Lihua Xie

“…Our survey also encompasses a detailed examination of benchmark environments used in MARL research, which are instrumental in evaluating MARL algorithms and demonstrate the adaptability of MARL to diverse application scenarios. …”
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Development and Use of Biotechnological System Models in Applied Scientific Research by M. A. Kerimov

“…The biotechnical system as a whole remains stochastic, while its control algorithms maintain a probabilistic nature. …”
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Impact of an improved random forest-based financial management model on the effectiveness of corporate sustainability decisions by Jianhui Zhang

“…The results show that the accuracy and recall rate of the improved algorithm based on random forest proposed in this study in identifying corporate financial distress are 98.03 % and 100 % respectively. …”
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Synthetic Ensemble Forecasts: Operations‐Based Evaluation and Inter‐Model Comparison for Reservoir Systems Across California by Zachary P. Brodeur, William Taylor, Jonathan D. Herman, Scott Steinschneider

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NIRS and machine learning algorithms as a non-invasive technique to discriminate and classify cooked broiler and duck meat by Kamrunnahar Khan Bristy, Dip Ghosh, Md. Abul Hashem

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Assessing the Applicability of Random Forest, Stochastic Gradient Boosted Model, and Extreme Learning Machine Methods to the Quantitative Precipitation Estimation of the Radar Data... by Ju-Young Shin, Yonghun Ro, Joo-Wan Cha, Kyu-Rang Kim, Jong-Chul Ha

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Optimal Reactive Power Generation for Radial Distribution Systems Using a Highly Effective Proposed Algorithm by Le Chi Kien, Thuan Thanh Nguyen, Bach Hoang Dinh, Thang Trung Nguyen

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Threshchronic: Concept proposal of a fuzzy bayesian tool for health support by Suvaila Rares

“…This tool is meant to be tested on radioactivity datasets, for which the thresholds exist and are well-known, then to be applied to other datasets on radio-activity and microplastics (environment), antibiotics (pharmacological factors), and nitrites (food industry). The main algorithm for this supporting program for health research was built as an unitary procedure for all situations, additional covariance analysis on multi-factor cases will be performed, together with a scheme which explicates the importance of transfer factors for the data recorded on various substances (e. g. water-fish-human transfer for radio- activity and microplastics). …”
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АPPLICATION OF GENETIC ALGORITHM FOR IN SOLVING THE PROBLEM OF CHOICE OF OPERATING FREQUENCY FOR AIR TRAFFIC CONTROL SYSTEM by A. V. Andreyev, V. L. Rumyantsev, O. V. Esikov, R. N. Akinshin

“…It is offered to use a genetic algorithm as one of the stochastic search methods for solution of the formalized problem of the choice of operating frequencies for air traffic control system. …”
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