Analyzing Financial Stability by Predicting Bankruptcy Situations with Machine Learning by Mohd Naved, Ravi Kumar, Shaiku Saheb

“…Specifically, the selected model, Histogram Gradient Boosting Classification (HGBC), is enriched through the integration of the Snake Optimization Algorithm (SOA), Gradient-Based Optimization (GBO), and Bonobo Optimization Algorithm (BOA). …”
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Energy Efficient Heat Exchange Network for the Oil Vacuum Distillation Facility by Ved V.E., Ilchenko M.V., Myronov A.N.

“…The cost curves tools carry out the search of an optimal minimum temperature difference value. Final results are provided in the form of a grid diagram of an integrated heat-exchange system. …”
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La cibercandidatura política de la inteligencia artificial y su impacto en los sistemas democráticos de los Estados by Juan Carlos Almache-Barreiro, José J. Albert-Márquez

“…The analysis focuses on assessing how this transformation might affect democratic state systems, ensuring that a balance is maintained between the efficiency of AI and democratic integrity, thus preserving the fundamental values of society. …”
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Artificial Intelligence Dystocia Algorithm (AIDA) as a Decision Support System in Transverse Fetal Head Position by Antonio Malvasi, Lorenzo E. Malgieri, Tommaso Difonzo, Reuven Achiron, Andrea Tinelli, Giorgio Maria Baldini, Lorenzo Vasciaveo, Renata Beck, Ilenia Mappa, Giuseppe Rizzo

“…All cases classified as AIDA Class 4 required cesarean delivery regardless of the specific MLA value. Machine learning algorithms demonstrated high predictive accuracy, with Random Forest achieving 95.5% overall accuracy across the study cohort. …”
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Multi class aerial image classification in UAV networks employing Snake Optimization Algorithm with Deep Learning by Alanoud Al Mazroa, Nuha Alruwais, Muhammad Kashif Saeed, Kamal M. Othman, Randa Allafi, Ahmed S. Salama

“…These models can extract spectral and spatial information from the captured data, classifying diverse terrains, structures, and objects precisely. Furthermore, the integration of Snake Optimization algorithms assists in fine-tuning the classification process, improving accuracy. …”
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An integrated approach of feature selection and machine learning for early detection of breast cancer by Jing Zhu, Zhenhang Zhao, Bangzheng Yin, Canpeng Wu, Chan Yin, Rong Chen, Youde Ding

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An improved multi-objective artificial physics optimization algorithm based on R2 indicator and its application by Bao Sun, Yihong Chang, Min Gao, Zhanlong Li, Jiankang Liu, Jinbin Wang

“…To address these issues, we propose the Constrained Rank Multi-Objective Artificial Physical Optimization based on the R2 indicator (R2-ICRMOAPO) algorithm. This algorithm integrates non-dominated sorting with the R2 indicator and updates the external storage set using the contribution value derived from the R2 indicator formula, ensuring both set distribution and convergence. …”
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Evaluation of Implementation Context Based Clustering In Fuzzy Geographically Weighted Clustering-Particle Swarm Optimization Algorithm by Siti Nurmardia Abdussamad, Suci Astutik, Achmad Effendi

“…Integration of Particle Swarm Optimization as a metaheuristic algorithm makes the computation run longer so, the solution in this paper is FGWC-PSO will be combined with context based clustering to produce a hybrid method (CFGWC-PSO) which can shorten the computational time of the clustering algorithm. …”
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Train Service Plan Design under the Condition of Multimodal Rail Transit Systems Integration and Interconnection by Li Lin, Xuelei Meng, Xiaoqing Cheng, Yangyang Ma, Shichao Xu

“…Firstly, this paper proposes a novel train service plan design model in the scenario of multimodal rail transit systems integration and interconnection. Our model takes into account the costs of both passengers and enterprises, and passengers travel time is converted into cost using passengers’ nonworking time value coefficient. …”
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Integrated Wavelet-Grey-Neural Network Model for Heritage Structure Settlement Prediction by Yonghong He, Pengwei Jin, Xin Wang, Shaoluo Shen, Jun Ma

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Integration of Distributed Energy Resources in Unbalanced Networks Using a Generalized Normal Distribution Optimizer by Laura Sofía Avellaneda-Gómez, Brandon Cortés-Caicedo, Oscar Danilo Montoya, Jesús M. López-Lezama

“…A leader–followeroptimization framework is adopted, where the leader stage utilizes the Generalized Normal Distribution Optimization (GNDO) algorithm to generate candidate solutions, while the follower stage conducts power flow calculations through successive approximation to assess the objective value. …”
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Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis by Yaling Wang, Peichun HSU, Haiyan Hu, Feng Lin, Xiaokang Wei

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Integration of an Iterative Update of Sparse Geologic Dictionaries with ES-MDA for History Matching of Channelized Reservoirs by Sungil Kim, Baehyun Min, Kyungbook Lee, Hoonyoung Jeong

“…This update of dictionaries allows the coupled algorithm to yield an ensemble well conditioned to static and dynamic data at affordable computational costs. …”
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Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution by Jiaxing CHEN, Yang LIU, Xiaoqian LIU, Zhihua LIU

“…By improving and enhancing the artificial bee colony algorithm and other intelligent optimization algorithms, it is possible to further optimize the results of node localization, thereby increasing the accuracy of node positioning and enhancing the value of the collected data. …”
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Design of the optimal groundwater quality monitoring network using a genetic algorithm based optimization approach by Somaye Janatrostami, Ali Salahi

“…Finally, they are coded by bit value equals to 1 for well that was selected for the network or by bit value equals to 0 for well that was not selected for the network. …”
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Sizing Algorithm for a Photovoltaic System along an Urban Railway Network towards Net Zero Emission by Prabath J. Binduhewa

“…These benefits can be valued further when the rail transportation system is with zero emissions. …”
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Electric load forecasting based on kernel extreme learning machine optimized by improved sparrow search algorithm by Diming Zhang, Yuchen Xu, Yuanjiang Li

“…Initially, to address the limitations of the Sparrow Search Algorithm (SSA), we propose a multi-strategy improved SSA with dynamic inertia weight (WHFSSA). …”
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Algorithm-Based Real-Time Analysis of Training Phases in Competitive Canoeing: An Automated Approach for Performance Monitoring by Sergio Amat, Sonia Busquier, Carlos D. Gómez-Carmona, Manuel Gómez-López, José Pino-Ortega

“…The increasing demands in high-performance sports have led to the integration of technological solutions for training optimization. …”
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Precision forecasting for hybrid energy systems using five deep learning algorithms for meteorological parameter prediction by Ceren Ceylan, Zehra Yumurtacı

“…Although the deep learning-based meteorological forecasting is significantly studied in literature, most of the current literature applies single-algorithm based on each individual energy source and less multi-algorithm based on comparative studies on multiple architectures as applied to integrated hybrid systems. …”
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A Hybrid Approach to Reliable Jamming Identification in UAV Communications Using Combined DNNs and ML Algorithms by Hamed Farkhari, Joseanne Viana, Sarang Kahvazadeh, Pedro Sebastiao, Victor P. Gil Jimenez, Rui Dinis

“…Deep Neural Networks (DNNs) have gained prominence due to their remarkable accomplishments across various domains, including telecommunications and security. Their integration into decision-making processes within 5G telecommunication systems and UAV security is noteworthy. …”
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