Advancements in Cerebellar Modeling and Its Practical Applications: A Comprehensive Review by Shaojia Huang, Tao Xu, Jiaqing Chen, Jiajia Huang, Zhikun Wang, Ya Ke, Wing Ho Yung

“…Optimization methods used in AI for optimizing cerebellar neuronal electrophysiology parameters are also highlighted, allowing for the prediction of difficult-to-observe neuronal features. …”
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Application of numerical methods to the analysis of the magnetic field in AC traction machines by A. S. Zuev, M. D. Gluschenko

“…The study applies a numerical finite element calculation method using an application software package that synthesises a two-dimensional computer model of the traction motor to calculate the magnetic field and formalises the calculation of output parameters based on data from technical literature, test results and reference materials. …”
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A Single LED Positioning System Based on Circle Projection by Ran Zhang, Wen-De Zhong, Qian Kemao, Sheng Zhang

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Mie‐Resonant Metasurfaces with Controlled Silicon Oxidation in Electron‐Beam Deposition by Neal Raney, Viktoriia E. Babicheva

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CLINICAL AND EXPERIMENTAL ARGUMENTATION OF MODIFIED METHOD FOR PERI-IMPLANT BONE REDUCTION EVALUATION DURING VARIOUS SCHEMES OF PROSTHETIC REHABILITATION by A.T. Kenyuk

“… Peri-implant bone loss is circular and volumetric by its main features, but in the most of researches level of bone reduction is measured via two-dimensional approach from the medial and distal sides of the implant structure. …”
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Identification of prognostic factors contributing towards mortality in leptospirosis patients: a statistical and score-based model approach by Abhishek S. Rao, Karthik Pai B. H., Adithi K., Rathika Shenoy, Lakshmi Belur Keshav, Karan Malhotra, Sneha Nayak, Ramaprasad Poojary

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Differentiating between obstructive and non‐obstructive azoospermia: A machine learning‐based approach by Abdolreza Haghpanah, Nazanin Ayareh, Ashkan Akbarzadeh, Dariush Irani, Fatemeh Hosseini, Farid Sabahi Moghadam, Mohammad Ali Sadighi Gilani, Iman Shamohammadi

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Multi-Spectral Optimization for Tissue Probing Using Machine Learning by Yarden Tzabari Kelman, Hadas Lupa Yitzhak, Nadav Shabairou, Shahaf Finder, Zeev Zalevsky

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Modeling of spatial spread of COVID-19 pandemic waves in Russia using a kinetic-advection model by V. V. Aristov, A. V. Stroganov, A. D. Yastrebov

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Deep Learning-Based Adaptive Downsampling of Hyperspectral Bands for Soil Organic Carbon Estimation by Mohammad Rahman, Shyh Wei Teng, Manzur Murshed, Manoranjan Paul, David Brennan

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Clinical characteristics and prognosis of amyopathic dermatomyositis patients with interstitial lung disease: insights from a retrospective cohort by Yanan Ying, Tingting Wu, Long Wang, Yun Zhang, Yiming Yu, Zaichun Deng, Qunli Ding

“…Patients were stratified into four groups using the Sontheimer criteria and predominant high-resolution computed tomography (HRCT) patterns. Demographic features, clinical presentation, laboratory parameters, duration of ILD, and follow-up data were analysed. …”
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Data-driven predictive model of coal permeability based on microscopic fracture structure characterization by Tianhao Yan, Xiaomeng Xu, Jiafeng Liu, Yihuai Zhang, Muhammad Arif, Xiaowei Xu, Qiang Wang

“…This method enables rapid estimation of coal permeability by inputting two-dimensional (2D) computed tomography images or parameters of the microscopic fracture structure, thereby providing an accurate and efficient means of permeability prediction.…”
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Phase and amplitude gradient waveguide coupled metasurfaces by Yasaman Tanhayivash, Hadi Soofi, Saeid Nikmehr

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Enhancing Hajj and Umrah Services Through Predictive Social Media Classification by Samia Allaoua Chelloug, Mohammed Saleh Ali Muthanna, Faisal Jamil, Mehdhar S. A. M. Al-Gaashani, Soha Alhelaly, Ahmed Aziz, Ammar Muthanna

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SYNTHESIS OF QUASI BAND LADDER TRANSFORMING HIGH ORDER FILTERS by A. E. Kurochkin

“…The purpose of the work, the results of which are presented in the article, was to develop a computerized mathematical model of the ladder filter to study the features of the synthesis of matching chains of any order on its basis. …”
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Motor Bearing Failure Identification Using Multiple Long Short-Term Memory Training Strategies by Youcef ATMANI, Ammar Mesloub, Said Rechak

“…However, in the second case, the network inputs are pre-computed time-frequency features. The results clearly showed that LSTMs are more accurate with the latter. …”
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An efficient trustworthy cyberattack defence mechanism system for self guided federated learning framework using attention induced deep convolution neural networks by Louai A. Maghrabi, Alanoud Subahi, Nouf Atiahallah Alghanmi, Turki Althaqafi, Nahla J. Abid, Nasser N. Albogami, Mahmoud Ragab

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Enhancing medical response efficiency in real-time large crowd environments via smart coverage and deep learning for stable ecological health monitoring by Asma A. Alhashmi, Ghada Moh. Samir Elhessewi, Mukhtar Ghaleb, Nazir Ahmad, Nojood O. Aljehane, Tareq M. Alkhaldi, Hamad Almansour, Samah Al Zanin

“…Furthermore, the Chimp Optimisation Algorithm (CHOA) model is employed for the feature selection (FS) process to select the most significant features from the dataset. …”
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Deep Transfer Learning for Lip Reading Based on NASNetMobile Pretrained Model in Wild Dataset by Ashwaq Waleed Abdul Ameer, Pedram Salehpour, Mohammad Asadpour

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Powder Bed Fusion via Machine Learning-Enabled Approaches by Utkarsh Chadha, Senthil Kumaran Selvaraj, Abel Saji Abraham, Mayank Khanna, Anirudh Mishra, Isha Sachdeva, Swati Kashyap, S. Jithin Dev, R. Srii Swatish, Ayushma Joshi, Simar Kaur Anand, Addisalem Adefris, R. Lokesh Kumar, Jayakumar Kaliappan, S. Dhanalakshmi

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