Proposals for the Multiparametric Design Application in Electrical Mechanical Engineering by Shevchenko V.V., Minko A.N., Stoychev V.T.

“…Currently, it is possible to use mathematical models when designing, and use parametric synthesis to optimize one specific parameter, which in certain cas-es turns out to be sufficient. …”
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Application of Supervised Learning Methods and Information Gain Methods in the Determination of Asbestos–Cement Roofs’ Deterioration State by Manuel Saba, David Valdelamar Martínez, Leydy K. Torres Gil, Gabriel E. Chanchí Golondrino, Manuel A. Ospina Alarcón

“…This study introduces an innovative approach to evaluate the condition of asbestos–cement (AC) roofs by integrating field data with five distinct supervised learning models: decision trees, KNN, logistic regression, support vector machine, and random forest. …”
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Depression Detection and Diagnosis Based on Electroencephalogram (EEG) Analysis: A Systematic Review by Kholoud Elnaggar, Mostafa M. El-Gayar, Mohammed Elmogy

“…The potential of transfer learning and encoder-decoder architectures to leverage pre-trained models and enhance diagnostic performance is also discussed. …”
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Fine carrier frequency offset estimation for OFDM and MIMO-OFDM systems: A comparative study by Moatasem Mohammed Elsayed Kotb, Maha Raof Abdel-Haleem Mohamed, Ashraf Yahya Hassan Ali Fahmy, Ashraf Shawky Selim SayedAhmed Mohra

“…Three distinct CFO estimators are developed using Kernel Support Vector Machine (KSVM), Linear Discriminant Analysis (LDA), and Artificial Neural Network (ANN), as this is a common strategy in machine learning for identifying optimal solutions. …”
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AI-Powered System to Facilitate Personalized Adaptive Learning in Digital Transformation by Yao Yao, Horacio González-Vélez

“…As Large Language Models (LLMs) incorporate generative Artificial Intelligence (AI) and complex machine learning algorithms, they have proven to be highly effective in assisting human users with complex professional tasks through natural language interaction. …”
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Radial Basis Function Coupling with Metaheuristic Algorithms for Estimating the Compressive Strength and Slump of High-Performance Concrete by Amir Reza Taghavi Khangah, Erfan Khajavi, Hasti Azizi, Amir Reza Alizade Novin

“…The following study represents an important step toward developing novel hybrid models for predicting CS and SL. The contribution in this paper proposes the following: the radial basis function (RBF) model will be enhanced by using two optimization algorithms, namely Horse Herd Optimization (HHO) and Wild Geese Algorithm (WGA). …”
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RESOURCE-CONSTRAINED ASSEMBLY LINE BALANCING PROBLEM AND AN APPLICATION IN AN ASSEMBLY LINE by Mehmet Ceylan, Seda Hezer

“…Within the scope of this study, the “Multi-Model RCALBP (MRCALBP)” was implemented in a company manufacturing industrial kitchen machines. …”
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Tuning antibody stability and function by rational designs of framework mutations by Joseph C. F. Ng, Alicia Chenoweth, Maria Laura De Sciscio, Melanie Grandits, Anthony Cheung, Tooki Chu, Alexandra McCraw, Jitesh Chauhan, Yi Liu, Dongjun Guo, Semil Patel, Alice Kosmider, Daniela Iancu, Sophia N. Karagiannis, Franca Fraternali

“…Artificial intelligence and machine learning models have been developed to engineer antibodies for specific recognition of antigens. …”
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Tribological Performance Enhancement in FDM and SLA Additive Manufacturing: Materials, Mechanisms, Surface Engineering, and Hybrid Strategies—A Holistic Review by Raja Subramani, Ronit Rosario Leon, Rajeswari Nageswaren, Maher Ali Rusho, Karthik Venkitaraman Shankar

“…Further, the review highlights the growing use of finite element modeling, digital twins, and machine learning algorithms for predictive control of tribological performance at AM parts. …”
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A radiomics approach for predicting gait freezing in Parkinson’s disease based on resting-state functional magnetic resonance imaging indices: A cross-sectional study by Miaoran Guo, Hu Liu, Long Gao, Hongmei Yu, Yan Ren, Yingmei Li, Huaguang Yang, Chenghao Cao, Guoguang Fan

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An Intelligent Natural Language Processing (NLP) Workflow for Automated Smart Building Design by Ebere Donatus Okonta, Francis Ogochukwu Okeke, Emeka Ebuz Mgbemena, Rosemary Chidimma Nnaemeka-Okeke, Shuang Guo, Foluso Charles Awe, Chinedu Eke

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Spectral Entropic Radiomics Feature Extraction (SERFE): an adaptive approach for glioblastoma disease classification by V. L. Sowmya, A. Bharathi Malakreddy, Santhi Natarajan, N. Prathik, I. S. Rajesh

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A semi discrete convolutional neural network algorithm for solving hyperbolic equations(求解双曲型方程的半离散卷积神经网络算法) by 汪浏博(WANG Liubo), 郑素佩(ZHENG Supei), 张蕊(ZHANG Rui), 封建湖(FENG Jianhu)

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Travel time prediction for an intelligent transportation system based on a data-driven feature selection method considering temporal correlation by Amirreza Kandiri, Ramin Ghiasi, Maria Nogal, Rui Teixeira

“…The first stage involves an offline process where interconnected optimisation algorithms are employed to identify the optimal set of features and determine the most effective machine learning model architecture. …”
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Dynamic Monitoring and Precision Fertilization Decision System for Agricultural Soil Nutrients Using UAV Remote Sensing and GIS by Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong

“…Our approach significantly advances precision agriculture by automating the entire workflow from data collection to decision-making, reducing resource waste and optimizing crop yields. The integration of UAV remote sensing, dynamic modeling, and machine learning distinguishes this work from conventional static systems, offering a scalable and adaptive framework for sustainable farming practices.…”
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Efficient Soil Temperature Profile Estimation for Thermoelectric Powered Sensors by Jiri Konecny, Jaromir Konecny, Kamil Bancik, Miroslav Mikus, Jan Choutka, Jiri Koziorek, Ibrahim A. Hameed, Algimantas Valinevicius, Darius Andriukaitis, Michal Prauzek

“…This improvement significantly reduces the computational costs associated with the regression model, offering a more efficient approach to predicting soil temperature for the purpose of optimizing energy harvesting in IoT sensors.…”
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Improved Splitting-Integrating Methods for Image Geometric Transformations: Error Analysis and Applications by Hung-Tsai Huang, Zi-Cai Li, Yimin Wei, Ching Yee Suen

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Automatic system of mutually invariant vector control of mixer technology state variables by Rudolf A. Neydorf, Mohammed Neamah Mohsen

“…To cope with this task, the approach to the control laws synthesis based on the desired characteristics of the synthesized control system is taken. A mathematical model of the quasi-optimal speed control is used to construct the desired mathematical model of the controlled machine for the solution preparation. …”
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Coupling HEC-RAS and AI for River Morphodynamics Assessment Under Changing Flow Regimes: Enhancing Disaster Preparedness for the Ottawa River by Mohammad Uzair Anwar Qureshi, Afshin Amiri, Isa Ebtehaj, Silvio José Guimere, Juraj Cunderlik, Hossein Bonakdari

“…Despite significant advancements in flood forecasting using machine learning (ML) algorithms, recent events have revealed hydrological behaviors deviating from historical model development trends. …”
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Impact of biomarkers on carotid artery disease and stroke by Baofeng Xu, Xi Jiang, Haoming Li, Kun Wei, Haichun Ma, Sheng Jiang, Yin Cai, Yanyan Liang, Lei Pang

“…Biomarker levels were measured and analyzed using binary logistic regression and support vector machine optimization models to explore their correlation with stroke. …”
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