Antecedents of smart tourism destination perceived attractiveness and behavioral intention for digital natives by Andar Danova Lastaripar Goeltom, Ratih Hurriyati, Vanessa Gaffar, Lili Adi Wibowo

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Multi-Objective Optimization of Injection Parameters and Energy Consumption Based on ANN-Differential Evolution by Devic Oktora, Yu-Hung Ting, Sukoyo

“…This work will employ complete factorial design of experiments (DoE) to acquire a dataset which is both resilient and suitable for training, validation, and testing purposes. …”
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Revitalizing Art with Technology: A Deep Learning Approach to Virtual Restoration by Nurrohmah Endah Putranti, Shyang-Jye Chang, Muhammad Raffiudin

“… This study evaluates CycleGAN's performance in virtual painting restoration, focusing on color restoration and detail reproduction. We compiled datasets categorized by art styles and conditions to achieve accurate restorations without altering original reference materials. …”
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A Lightweight Laser Chip Defect Detection Algorithm Based on Improved YOLOv7-Tiny by HU Wei, ZHAO Jumin, LI Dengao

“…[Findings] Experimental results on the electroluminescence dataset demonstrate that this method can accurately detect chip defects with lower parameter and computational costs, showing excellent performance.…”
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Soil Phosphorus Storage Capacity for Environmental Risk Assessment by Vimala D. Nair, Willie G. Harris

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Prospective Results from the PA (Personality and Activity) Project: Evaluating the Influence of the Transtheoretical Model on Physical Activity while Considering Personality Trait... by Chelsea Joyner, Paul D. Loprinzi

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Multistage deep learning methods for automating radiographic sharp score prediction in rheumatoid arthritis by Hajar Moradmand, Lei Ren

“…The model was trained using stratified group 3-fold cross-validation on a dataset of 679 patients and tested externally on 291 subjects. …”
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Using Propensity Score Matching Technique to Estimate Utilization and Costs of General Practitioners’ Services associated with Alzheimer’s Disease by Rajan Sharma, Elizaveta Sopina, Jan Sørensen

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Study of Brain-derived Neurotrophic Factor in Drug-naive Patients with Schizophrenia by Partik Kaur, Virendra Singh Pal, Vijay Niranjan, Varchasvi Mudgal

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Fast Local Laplacian-Based Steerable and Sobel Filters Integrated with Adaptive Boosting Classification Tree for Automatic Recognition of Asphalt Pavement Cracks by Nhat-Duc Hoang, Quoc-Lam Nguyen

“…Based on the features produced by these image processing techniques, adaptive boosting classification tree is used to perform pavement crack recognition tasks. A dataset of image samples consisting of five classes (alligator crack, diagonal crack, longitudinal crack, noncrack, and transverse crack) has been collected to construct and verify the performance of the adaptive boosting classification tree. …”
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Analysis and prediction of unforced errors in men’s and women’s professional padel by Rafael Conde-Ripoll, Diego Muñoz, Bernardino J. Sánchez-Alcaraz, Adrián Escudero-Tena

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Anomaly Detection in IoMT Environment Based on Machine Learning: An Overview by Peyman Vafadoost Sabzevar, Hamidreza Rokhsati, Alireza Chamansara, Ahmad Hajipour

“…In this article, the isolation forest algorithm was used for training on 80% of the dataset related to the data of the Internet of Medical Things network, and then this model was tested and evaluated on the remaining 20%. …”
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Online multi‐object tracking based on time and frequency domain features by Mahbubeh Nazarloo, Meisam Yadollahzadeh‐Tabari, Homayun Motameni

“…It is used to classify the dataset. To evaluate the performance of the presented technique, simulations are performed using the ETH Mobile Platform and VS‐PETS 2009 datasets. …”
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Hermite Interpolation Using Möbius Transformations of Planar Pythagorean-Hodograph Cubics by Sunhong Lee, Hyun Chol Lee, Mi Ran Lee, Seungpil Jeong, Gwang-Il Kim

“…We present a condition to be met by a Hermite dataset, in order for the corresponding interpolant to be simple or to be a loop. …”
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A Compact Symmetric Microstrip Filter Based on a Rectangular Meandered-Line Stepped Impedance Resonator with a Triple-Band Bandstop Response by Rajendra Dhakal, Nam-Young Kim

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Early Postural Changes in Individuals with Idiopathic Parkinson’s Disease by Mohamed Elsayed Khallaf, Eman Elsayed Fayed

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A spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution. by Sheng Miao, Guoqing Ni, Guangze Kong, Xiuhe Yuan, Chao Liu, Xiang Shen, Weijun Gao

“…We collected soil pollution data and validated the spatial distribution map generated using this method based on the drilling dataset. The results indicate that compared with traditional Kriging3D methods (R2 = 0.318) and other machine learning methods such as support vector regression (R2 = 0.582), the proposed 3DCNN based method can achieve better accuracy (R2 = 0.954). …”
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Intelligent Topical Sentiment Analysis for the Classification of E-Learners and Their Topics of Interest by M. Ravichandran, G. Kulanthaivel, T. Chellatamilan

“…The experiment has been conducted on a real life dataset containing different set of tweets and topics.…”
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The Robustness of White Matter Brain Networks Decreases with Aging by Chenye Huang, Xie Wang, Daojun Xie

“…We constructed WM brain networks for 159 volunteers from a community sample dataset using diffusion tensor imaging (DTI). We then calculated the robustness of these networks by simulating neurodegeneration based on network attack analysis, and studied the correlations between WM network robustness, age, and the proportion of WMHs. …”
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Startup Survival Forecasting: A Multivariate AI Approach Based on Empirical Knowledge by Francesc Font-Cot, Pablo Lara-Navarra, Claudia Sánchez-Arnau, Enrique A. Sánchez-Pérez

“…This study addresses these gaps by developing a multivariate AI-driven model for predicting startup survival, leveraging Lipschitz extensions, neural networks, and linear regression. Using a dataset of 20 startups, selected across diverse industries and evaluated on attributes such as team dynamics, market conditions, and financial metrics, the model demonstrated high accuracy and clustering capabilities. …”
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