Predicting Risk through Artificial Intelligence Based on Machine Learning Algorithms: A Case of Pakistani Nonfinancial Firms by Shamsa Khalid, Muhammad Anees Khan, M.S. Mazliham, Muhammad Mansoor Alam, Nida Aman, Muhammad Tanvir Taj, Rija Zaka, Muhammad Jehangir

“…So, in this study, we used financial ratios for accurate risk assessment and for the automation of corporate risk management by developing machine learning algorithms using techniques, namely, random forest, decision tree, naïve Bayes, and KNN. …”
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Developing JSequitur to Study the Hierarchical Structure of Biological Sequences in a Grammatical Inference Framework of String Compression Algorithms by Bulgan Galbadrakh, Kyung-Eun Lee, Hyun-Seok Park

“…Thus, we have developed JSequitur for automatically generating the grammatical structure of biological sequences in an inference framework of string compression algorithms. Our original motivation was to find any grammatical traits of several cancer genes that can be detected by string compression algorithms. …”
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Multi attribute decision-making algorithms using Hamacher Choquet-integral operators with complex intuitionistic fuzzy information by Tehreem, Harish Garg, Kinza Ayaz, Walid Emam

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Retracted: College Students’ Mental Health Education Consulting Management System Design Based on Big Data Algorithms by International Transactions on Electrical Energy Systems

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A comparative analysis of photovoltaic system using three algorithms: P&O, Hill Climbing and Fuzzy Logic by Benkirane Yassine, Benhala Bachir, Raihani Abdelhadi

“…Additionally, the work involves using algorithms to manage energy within this solar system to optimize power generation. …”
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An Effective Approach for Modular Community Detection in Bipartite Network Based on Integrating Rider with Harris Hawks Optimization Algorithms by Bader Fahad Alkhamees, Mogeeb A. A. Mosleh, Hussain AlSalman, Muhammad Azeem Akbar

“…The proposed RHHO is developed by the integration of the Rider Optimization (RO) algorithm with the Harris Hawks Optimization (HHO) algorithm. …”
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Iterative Algorithms for Mixed Equilibrium Problems, System of Quasi-Variational Inclusion, and Fixed Point Problem in Hilbert Spaces by Poom Kumam, Thanyarat Jitpeera

“…Strong convergence of the proposed iterative algorithm is obtained. Our results generalize, extend, and improve the results of Peng and Yao, 2009, Qin et al. 2010 and many authors.…”
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Identifying an Odour Source in Fluid-Advected Environments, Algorithms Abstracted from Moth-Inspired Plume Tracing Strategies by Wei Li

“…The algorithms are abstracted from moth-inspired chemical plume tracing strategies in two steps. …”
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Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning by A. Beena Godbin, S. Graceline Jasmine

“…To optimize the performance of machine learning models, the paper incorporates genetic algorithms for hyperparameter optimization. A comparative analysis is conducted among the genetic algorithm-based TPOT (Tree-based Pipeline Optimization Tool) settings, namely TPOT-Default, TPOT-Light, and TPOT-Sparse, to select the most effective hyperparameters. …”
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A novel approach for the router nodes placement in wireless mesh networks using phasing with approximation optimization algorithms. by Le Huu Binh, Thuy-Van T Duong, Vuong M Ngo

“…The idea behind this method is to solve the RNP problem in two stages using an optimal algorithm with fewer variables than the original RNP problem. …”
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Application of Graph Theory and Variants of Greedy Graph Coloring Algorithms for Optimization of Distributed Peer-to-Peer Blockchain Networks by Miljenko Švarcmajer, Denis Ivanović, Tomislav Rudec, Ivica Lukić

Subjects: “…greedy algorithms…”
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Landslide Susceptibility Zonation Mapping Using Machine Learning Algorithms and Statistical Prediction at Hunza Watershed Basin, Pakistan by A. Khan, G. Khan, M. Minhas, S. A. Hussain Gardezi, J. Ahmed and N. Abbas

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Improving diversification by a hybrid bat-Nelder-Mead algorithm and DDE for rapid convergence to solve global optimization by Enas Suhail, Mahmoud El-Alem, Omar Bazighifan, Ahmed Zekri

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<italic>UAV-NavS</italic>: Three-Dimensional Navigation System of Multiple Unmanned Aerial Vehicles Using Hybrid Optimization Algorithm by Monia Digra, Upma Jain, Ram Kishan Dewangan, Himanshu Suyal

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Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework by Milos Antonijevic, Miodrag Zivkovic, Milica Djuric Jovicic, Bosko Nikolic, Jasmina Perisic, Marina Milovanovic, Luka Jovanovic, Mahmoud Abdel-Salam, Nebojsa Bacanin

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Human, All Too Human: Do We Lose Free Spirit in the Digital Age? by Aleksandra Sushchenko, Olena Yatsenko

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Endpoint carbon content and temperature prediction model in BOF steelmaking based on posterior probability and intra-cluster feature weight online dynamic feature selection by Wang Haodong, Liu Hui, Chen FuGang, Li Heng, Xue XiaoJun

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Self‐Driving Lab for Solid‐Phase Extraction Process Optimization and Application to Nucleic Acid Purification by Sebastian Putz, Jonathan Döttling, Tim Ballweg, Andre Tschöpe, Vitaly Biniyaminov, Matthias Franzreb

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Investigation of groundwater quality indices and health risk assessment of water resources of Jiroft city, Iran, by machine learning algorithms by Sobhan Maleky, Maryam Faraji, Majid Hashemi, Akbar Esfandyari

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Machine Learning Applications to Dust Storms: A Meta-Analysis by Reem K. Alshammari, Omer Alrwais, Mehmet Sabih Aksoy

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