Cyber-Physical Test Environment for the Identification of Interacting Wear Effects in Feed Axes by Alexander Bott, Robin Stöbel, Gregor Osen, Jürgen Fleischer

“…Especially models that represent the combined wear influence of different interacting feed axes on the control parameters and machine dynamics hold great potential. …”
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Design of the Servo Control System of the Press Crimping Device based on Electronic Cam by Hui Li, Xiao Wu, Xu Wang, Xiao Qi, Liang Hua

“…Aiming at the working process of the press crimping device for paper tape crimping machine，on the basis of analyzing the movement process of the swing roller， the swing roller is regarded as the follower of cam mechanism. …”
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Systematic data management for effective AI-driven decision support systems in robotic rehabilitation by Anastasios Tzepkenlis, Cristian Camardella, Marco Germanotta, Irene Giovanna Aprile, Maria Cristina Mauro, Daniele Leonardis, Antonio Frisoli

“…Nevertheless, a comprehensive understanding of how manipulating these datasets with machine-learning to produce such outputs is still missing. …”
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Performance of the Pangu‐Weather Deep Learning Model in Forecasting Tornadic Environments by Zhanxiang Hua, Gregory Hakim, Alexandra Anderson‐Frey

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Rolling Bearing Fault Diagnosis Based on SCNN and Optimized HKELM by Yulin Wang, Xianjun Du

“…Subsequently, an HKELM classifier with multiple kernel functions was constructed. Key parameters of the HKELM were dynamically adjusted using a novel optimization algorithm, significantly enhancing fault diagnosis accuracy and system stability. …”
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An Interpretable Weather Forecasting Model With Separately‐Learned Dynamics and Physics Neural Networks by Mengxuan Chen, Jinxiao Zhang, Runmin Dong, Yidan Xu, Haoyuan Liang, Juepeng Zheng, Lanning Wang, Haohuan Fu

“…Abstract Machine learning (ML) offers a promising alternative for weather forecasting by reducing computational costs and modeling complex non‐linear atmospheric processes. …”
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Data-Driven Customer Retention Strategies in E-Commerce: A Fuzzy Z-Number Approach by Siyin Hu, An Chen

“…For the purpose of evaluating customer churn, we use the Support Vector Machine (SVM) model. In order to improve the performance of the SVM, we tune its parameters using the Coyote Optimization Algorithm (COA). …”
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Prediction of ball mill power in iron ore concentration plants: A comparison between radial basis functions and linear regression by Javad Taghavi, Mahdi Gharabaghi

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Predicting Clay Swelling Pressure: A Comparative Analysis of Advanced Symbolic Regression Techniques by Esteban Díaz, Roberto Tomás

“…The use of undisturbed samples enhanced the reliability of the findings, and the resulting equations enable a flexible estimation of swelling pressure based on commonly available geotechnical parameters.…”
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Space Trajectory Planning with a General Reinforcement-Learning Algorithm by Andrea Forestieri, Lorenzo Casalino

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Evaluating Sparse Inertial Measurement Unit Configurations for Inferring Treadmill Running Motion by Mackenzie N. Pitts, Megan R. Ebers, Cristine E. Agresta, Katherine M. Steele

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Pendekatan Metode Ensemble Learning untuk Prakiraan Cuaca menggunakan Soft Voting Classifier by Steven Joses, Donata Yulvida, Siti Rochimah

“…Testing in this research employs several single-machine learning methods such as K-Nearest Neighbor (KNN), Logistic Regression, Random Forest, Naive Bayes, and Multi-Layer Perceptron. …”
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AI-based algorithms for estimating hydrochar properties in terms of biomass ultimate analysis by Raouf Hassan, Ali sharifzadegan, Alireza Baghban

“…This study uniquely integrates an extensive dataset and a comprehensive suite of state-of-the-art machine learning algorithms and advanced feature importance analysis to enhance the predictive modeling and interpretability of hydrochar yield and HHV based on biomass properties and process parameters. …”
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Nearest-neighbors neural network architecture for efficient sampling of statistical physics models by Luca Maria Del Bono, Federico Ricci-Tersenghi, Francesco Zamponi

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Graph convolution network for fraud detection in bitcoin transactions by Ahmad Asiri, K. Somasundaram

“…Different evaluation parameters such as accuracy, ROC and F1 score are analyzed for different models. …”
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Enhancing Predictive Accuracy Under Data Scarcity: Modeling Molecular Interactions to Describe Sealing Material Compatibility with Bio-Hybrid Fuels by Lukas Boden, Faras Brumand-Poor, Linda Pleninger, Katharina Schmitz

“…The other uses Hansen solubility parameters, representing an abstract modeling of intermolecular forces. …”
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A dynamic network traffic classifier using supervised ML for a Docker-based SDN network by Pritom Kumar Mondal, Lizeth P. Aguirre Sanchez, Emmanuele Benedetto, Yao Shen, Minyi Guo

“…Software-defined networking (SDN) with machine learning (ML) has become an emerging solution for network scheduling, quality of service (QoS), resource allocations, and security. …”
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Use of Artificial Intelligence on Imaging and Preoperatory Planning of the Knee Joint: A Scoping Review by Luca Bertolino, Marta Bianca Maria Ranzini, Alberto Favaro, Elena Bardi, Flavio Lorenzo Ronzoni, Tommaso Bonanzinga

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A Hybrid Brain Stroke Prediction Framework: Integrating Feature Selection, Classification, and Hyperparameter Optimization by Mohammad Amin, Khalid M. O. Nahar, Hasan Gharaibeh, Rabia Emhamed Al Mamlook, Ahmad Nasayreh, Nesrine Atitallah, Ali Gharaibeh, Raneem Hamad, Raed Abu Zitar, Aseel Smerat, Laith Abualigah

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IMPACT OF FEATURE SELECTION ON DECISION TREE AND RANDOM FOREST FOR CLASSIFYING STUDENT STUDY SUCCESS by Firdaus Amruzain Satiranandi Wibowo, Heri Retnawati, Muhammad Lintang Damar Sakti, Asma Khoirunnisa, Angella Ananta Batubara, Miftah Okta Berlian, Zulfa Safina Ibrahim, Jailani Jailani, Sumaryanto Sumaryanto, Lantip Diat Prasojo

“…Education plays a crucial role in enhancing quality of life, particularly in higher education, where one of the key parameters is student success. This study investigates the influence of feature selection on the performance of machine learning models, particularly Decision Tree and Random Forest, in classifying student academic success. …”
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