A Cutting-Edge Survey of Tribological Behavior Evaluation Using Artificial and Computational Intelligence Models by Senthil Kumaran Selvaraj, Aditya Raj, Mohit Dharnidharka, Utkarsh Chadha, Isha Sachdeva, Chinmay Kapruan, Velmurugan Paramasivam

“…Artificial intelligence is a relatively new term that uses mechanical engineering. There is still no scientific progress to examine various metal wear cases and compare AI and computational models’ accuracy in wear behavior.…”
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Analysis of a cooling system for robotic joints using a computational fluid dynamics study by María Fernanda Madriz-Ramírez, Kevin Alberto Solano-Núñez, Mauricio Rodríguez-Calvo

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Investigating the role and mechanisms of bisphenol compounds in premature ovarian insufficiency using computational biology and bioinformatics by Deshui Kong, Yufei Nie, Haojie He, Hongyan Guo

“…This study employs computational biology and bioinformatics to investigate the effects of bisphenols (BPs) on POI. …”
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Rehabilitation and Motion Symmetry Analysis With a TACX Smart Cycling Trainer Using Computational Intelligence by Hana Charvatova, Daniel Martynek, Alexandra Molcanova, Ales Prochazka

“…Signal processing is conducted using advanced methods that include computational intelligence, digital signal processing, and artificial intelligence tools for data classification. …”
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Studying the effect of Cyclone’s dimensions on the separation efficiency of wheat using computational fluid dynamics method by Gholam hossein Shahg, Javad Janatkhah

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Computational tools for highly efficient modeling of vagus nerve stimulation using multi-modal imaging by Nicole Pelot, Minhaj Hussain, Daniel Marshall, Ian Baumgart, Noa Nuzov, Jichu Zhang, Andrew Crofton, Andrew Shoffstall, Warren Grill

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An advanced direct torque control for doubly fed induction motor using evolutionary computational techniques by Said Mahfoud, Najib El Ouanjli, Aziz Derouich, Abderrahman El Idrissi, Elmostafa Chetouani, Azeddine Loulijat, Shimaa A. Hussien, Mohamed I. Mosaad

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An intelligence technique for route distance minimization to store and marketize the crop using computational optimization algorithms by Saikat Banerjee, Abhoy Chand Mondal

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Predicting and Controlling Multiple Transmissions of Rotavirus Using Computational Biomedical Model in Smart Health Infrastructures by Titus Ifeanyi Chinebu, Kennedy Chinedu Okafor, Omowunmi Mary Longe, Kelvin Anoh, Henrietta Onyinye Uzoeto, Victor Onukwube Apeh, Ijeoma Peace Okafor, Bamidele Adebisi, Chukwunenye Anthony Okoronkwo

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A Case Study of Computational Thinking Analysis Using SOLO Taxonomy in Scientific–Mathematical Learning by Alejandro De la Hoz Serrano, Andrés Álvarez-Murillo, Eladio José Fernández Torrado, Miguel Ángel González Maestre, Lina Viviana Melo Niño

“…The SOLO taxonomy categorization was used to associate each level of the taxonomy with the computational concepts analyzed through a quantitative questionnaire. …”
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Enhancing Heat Transfer in Square Pin Fin Heatsinks with Slots using Computational Fluid Dynamics by NGUYEN Duy-Tue, BUI Manh-Ha

“…Assessed under varying conditions using Inventor 2018 and Autodesk Computational Fluid Dynamics (CFD) 2018, the Slotted square pin fin heat sink demonstrates a notable 18% increase in heat transfer area and a simultaneous 16% reduction in weight compared to the Square pin fin. …”
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Optimization of thermal conductivity in coir fibre-reinforced PVC composites using advanced computational techniques by Saksham Anand, Venkatachalam Gopalan, Shenbaga Velu Pitchumani

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Frequency Selection Based Separation of Speech Signals with Reduced Computational Time Using Sparse NMF by Yash Vardhan VARSHNEY, Zia Ahmad ABBASI, Musiur Raza ABIDI, Omar FAROOQ

“…By rejecting the high frequency components, the size of input signal is reduced, which reduces the computational time of matrix factorisation. The signal of lower energy has been separated by using wavelet decomposition. …”
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Modeling complex polycrystalline alloys using a Generative Adversarial Network enabled computational platform by Brayan Murgas, Joshua Stickel, Luke Brewer, Somnath Ghosh

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Interference Analysis of Very Fast Transient Overvoltages in Gas-Insulated Substations Using a Hybrid Algorithm by Muhammad Bilal, Hafiz Muhammad Azib Khan, Abdul Mueed, Kamran Liaqat Bhatti, Syed Safdar Raza, Muhammad Siddique

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Target screening and optimization of candidate compounds for breast cancer treatment using bioinformatics and computational chemistry approaches by Jian Xu, Xue Li, Yiduo Jia, Yiduo Jia

“…ObjectivesThis study aimed to identify critical therapeutic targets and design potent antitumor compounds for breast cancer treatment through an integrated bioinformatics and computational chemistry approach.MethodsWe conducted initial screening and target intersection analysis to identify potential protein targets, highlighting the adenosine A1 receptor as a key candidate. …”
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Computational Temporal Ghost Imaging Using Intensity-Only Detection Over a Single Optical Fiber by Jiang Tang, Yongwen Tang, Kun He, Luluzi Lu, Di Zhang, Mengfan Cheng, Lei Deng, Deming Liu, Minming Zhang

“…We propose a method of computational temporal ghost imaging over a single optical fiber using simple optical intensity detection instead of coherent detection. …”
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Spatial Distribution of Burned Areas from 1986 to 2023 Using Cloud Computing: A Case Study in Amazonas (Peru) by Elgar Barboza, Efrain Y. Turpo, Aqil Tariq, Rolando Salas López, Samuel Pizarro, Jhon A. Zabaleta-Santisteban, Angel J. Medina-Medina, Katerin M. Tuesta-Trauco, Manuel Oliva-Cruz, Héctor V. Vásquez

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Predicting flavonoid physicochemical properties using topological indices and regression modeling by Huili Li, Shamaila Yousaf, Komal Shahzadi, Sobhy M. M. Ibrahim, Adnan Aslam, Guoping Zhang, Keneni Abera Tola

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Edge computing based english translation model using fuzzy semantic optimal control technique. by Na Wang

“…Some issues, including ambiguity in English translation and improper word choice in translation techniques, must be addressed to enhance the quality of the English translation model and accuracy based on the corpus. Hence, an edge computing-based translation model (FSRL-P2O) is proposed to improve translation accuracy by using huge bilingual corpora, considering Fuzzy Semantic (FS) properties, and maximizing the translation output using optimal control techniques with the incorporation of Reinforcement Learning and Proximal Policy Optimisation (PPO) techniques. …”
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