Machine learning techniques for estimating high–temperature mechanical behavior of high strength steels by C. Yazici, F.J. Domínguez-Gutiérrez

“…Machine learning (ML) has emerged as a powerful tool for predicting the mechanical behavior of materials by analyzing stress-strain data from tensile tests. …”
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Wavelet and Deep Learning Framework for Predicting Commodity Prices Under Economic and Financial Uncertainty by Lyubov Doroshenko, Loretta Mastroeni, Alessandro Mazzoccoli

“…By combining wavelet-based measures with machine learning techniques, this study presents a comprehensive framework for evaluating the role of uncertainty in commodity markets. …”
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A New Ensemble Learning Method for Multiple Fusion Weighted Evidential Reasoning Rule by YiZhe Zhang, YunYi Zhang, GuoHui Zhou, Wei Zhang, KangLe Li, QuanQi Mu, Wei He, Kai Tang

“…However, the present ensemble learning methods mostly adopt voting fusion in combining strategies. …”
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Deep learning-based occlusion-aware face mask detection for airborne disease control by Teshome Ayechiluhem Yalew, Sosina M. Gashaw, Aleka Melese Ayalew, Mourad Oussalah

“…In this study, we collect data from public and local sources to develop an occlusion-aware face mask detection model. This study presents a deep learning-based occlusion-aware face mask detection model designed to identify both proper and improper mask usage, even under partial facial occlusions. …”
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DeepDISC-photoz: Deep Learning-Based Photometric Redshift Estimation for Rubin LSST by Grant Merz, Xin Liu, Samuel Schmidt, Alex I. Malz, Tianqing Zhang, Doug Branton, Colin J. Burke, Melissa Delucchi, Yaswant Sai Ejjagiri, Jeremy Kubica, Yichen Liu, Olivia Lynn, Drew Oldag, The LSST Dark Energy Science Collaboration

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Optimizing Smart Manufacturing Processes and Human Resource Management through Machine Learning Algorithms by Deden Komar Priatna, Winna Roswinna, Nandan Limakrisna, Azam Khalikov, Diyorjon Abdullaev, Layth Hussein

“…The integration of smart manufacturing technologies presents both technological and human resource challenges for developing economies transitioning toward Industry 4.0. …”
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An unsupervised machine learning based approach to identify efficient spin-orbit torque materials by Shehrin Sayed, Hannah Calzi Kleidermacher, Giulianna Hashemi-Asasi, Cheng-Hsiang Hsu, Sayeef Salahuddin

“…The search for new materials that can exhibit an SOT efficiency much greater than unity is a topic of active research, and only a few such materials have been identified using conventional approaches. In this paper, we present a machine learning-based approach using a word embedding model that can identify new results by deciphering non-trivial correlations among various items in a specialized scientific text corpus. …”
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Assessing the Efficiency of Deep Learning Methods for Automated Vehicle Registration Recognition for University Entrance by Muhammad Syaqil Irsyad, Zarina Che Embi, Khairil Imran Bin Ghauth

“…With the ever-increasing number of vehicles on the road, a faster reliable security system for university entry is needed. This paper presents an approach for Automatic Number Plate Recognition (ANPR) using deep learning and PP-OCRv3. …”
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A hybrid deep learning and differential evolution approach for accurate fake news detection by Shailendra Pratap Singh, Naween Kumar, Gyanendra Kumar, Ahamed Shafeeq B.M.

“…This study presents a novel hybrid approach combining deep learning techniques with Differential Evolution (DE) optimization to enhance the accuracy and scalability of fake news detection systems. …”
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An Analysis of the Severity of Alcohol Use Disorder Based on Electroencephalography Using Unsupervised Machine Learning by Kaloso M. Tlotleng, Rodrigo S. Jamisola

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Prediction of reduced sound wave intensity in floor systems using machine learning methods by Hamid Mohammadnezhad, Fardin Jafari, Nahad Sedighi

“…The required data for machine learning methods were obtained by simulation of different floor systems with varying material and thickness in the INSUL software. …”
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Evaluation of Several Machine Learning Models for Field Canal Improvement Project Cost Prediction by Saadi Shartooh Sharqi, Aayush Bhattarai

“…Due to the massive advancement of soft computing (SC) and Internet of things (IoT), the main research objective of the current study was initiative. Several machine learning (ML) models including extreme learning machine (ELM), multivariate adaptive regression spline (MARS), and partial least square regression (PLS) were adopted to predict field canal cost. …”
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A Data-Driven Comparative Analysis of Machine-Learning Models for Familial Hypercholesterolemia Detection by Tomasz Kocejko

“…This study presents an assessment of familial hypercholesterolemia (FH) probability using different algorithms (CatBoost, XGBoost, Random Forest, SVM) and its ensembles, leveraging electronic health record data. …”
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Distinguishable IQ Feature Representation for Domain-Adaptation Learning of WiFi Device Fingerprints by Abdurrahman Elmaghbub, Bechir Hamdaoui

“…Deep learning (DL)-based RF fingerprinting (RFFP) technology has emerged as a powerful physical-layer security mechanism, enabling device identification and authentication based on unique device-specific signatures that can be extracted from the received RF signals. …”
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Oral Language Skills of Elementary School Students to Support Multiliteracy Learning in the Digital Era by Dewi Tri Lestari, Shirly Rizki Kusumaningrum, Ade Eka Anggraini, Radeni Sukma Indra Dewi

“…Multiliteracy learning refers to the multicontext aspect, which means learning uses various contexts or broad topics. …”
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Self-Concept Modulates Motivation and Learning Strategies in Higher Education: Comparison According to Sex by Ramón Chacón-Cuberos, Jennifer Serrano-García, Inmaculada Serrano-García, Manuel Castro-Sánchez

“…The transition towards adulthood represents a complex period in which the development of personal identity culminates in young adults, whilst, at the same time, many undertake university studies in order to access the job market. The aim of the present study was to analyse the associations between self-concept, motivation, and learning strategies in the Spanish university context using structural equations to examine sex as a modifying factor. …”
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Arabic Education and Modern Learning Construction in Muslim Minority Islamic Boarding School in Indonesia by Ismail Suardi Wekke

“…Keywords: Modern, Learning, Islamic Boarding School …”
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Comparison of Machine Learning and Statistical Approaches of Detecting Anomalies Using a Simulation Study by Klaudia Lenart

“…Originality/value: The two approaches to anomaly detection presented in the paper are not often compared, usually used by two separate groups of researchers – statisticians and machine learning or data science specialists.…”
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A review of neuro-symbolic AI integrating reasoning and learning for advanced cognitive systems by Uzma Nawaz, Mufti Anees-ur-Rahaman, Zubair Saeed

“…This paper analyzes the present condition of neuro-symbolic AI, emphasizing essential techniques that combine reasoning and learning. …”
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Accelerating crystal structure search through active learning with neural networks for rapid relaxations by Stefaan S. P. Hessmann, Kristof T. Schütt, Niklas W. A. Gebauer, Michael Gastegger, Tamio Oguchi, Tomoki Yamashita

“…The specific physical properties linked to a three-dimensional atomic arrangement make this an essential task in the development of new materials. We present a method that efficiently uses active learning of neural network force fields for structure relaxation, minimizing the required number of steps in the process. …”
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