Construction of a sugar and acid content estimation model for Miliang-1 kiwifruit during storage by LIU Li, YANG Tianyi, DONG Congying, SHI Caiyun, SI Peng, WEI Zhifeng, GAO Dengtao

“…These algorithms are powerful tools for feature selection, and capable of identifying the most informative wavelengths from the hyperspectral data. …”
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Cyborg Adolescents and Digital Data: Examining Education and Revenue Generation in the Digital Lives of Youth through More-than-Human Ethnography by Davood Zahrani, Ali Hashemianfar, Ahmad Mehrshad

“…Adolescents are increasingly aware of the various pathways, laws, principles, and stakeholders involved in this landscape. They critically evaluate how to leverage these opportunities for income generation, leading to the emergence of new actors and networks that diverge from traditional economic models. …”
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Integrating Palliative Care and Heart Failure: the PalliatHeartSynthesis realist synthesis by Tracey McConnell, Carolyn Blair, Geoff Wong, Claire Duddy, Clare Howie, Loreena Hill, Joanne Reid

“…We concurrently worked to identify ‘guiding principles’ and features underpinning the interventions, and relevant implications discussed mostly in policy documents, reviews and commentaries. …”
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Editorial by Bulent Cavas

“…These seminars, conducted in both in-person and hybrid formats, provided a platform for networking, academic writing, reviewing, and discussion. …”
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A Study of Spontaneous Self-Injurious Behavior and Neuroimaging in Rhesus Macaques by Ya-Li Zhang, Yi-Cheng Qiao, Yun-Chao Ji, Hong-Di Huang, Long Zhang, Jian-Xiong Ruan, Chen-Yao Li, Hui-Heng Xie, Bao-Lin Zhang, Qi Zhou, Sha-Sha Yue, Xiao-Mei Yu, Ming-Hao Qiu, Chuan-Kai Yu, Si-Chu Wu, Yu-Fang Zhou, Yan-Ling Li, Hong-Mei Zhu, Shu-Zhen Dong, Kang Huang, Yun Wang, Qiong Wang, Yi-Jiang Li, Ya Xie, Hui-Ling Chen, Long-Bao Lv, Shu Liu, Yong-Gang Yao, Chun Wang, Ning Liu, Jian-Hong Wang

“…Enhanced structural and functional connectivity was observed. Network-based statistics highlighted increased functional connectivity primarily between the frontal and parietal lobes. …”
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Cognitive Dysfunction in the Addictions (CDiA): protocol for a neuron-to-neighbourhood collaborative research program by Yuliya S. Nikolova, Yuliya S. Nikolova, Yuliya S. Nikolova, Anthony C. Ruocco, Anthony C. Ruocco, Anthony C. Ruocco, Anthony C. Ruocco, Daniel Felsky, Daniel Felsky, Daniel Felsky, Shannon Lange, Shannon Lange, Shannon Lange, Shannon Lange, Thomas D. Prevot, Thomas D. Prevot, Thomas D. Prevot, Erica Vieira, Erica Vieira, Daphne Voineskos, Daphne Voineskos, Jeffrey D. Wardell, Jeffrey D. Wardell, Jeffrey D. Wardell, Jeffrey D. Wardell, Daniel M. Blumberger, Daniel M. Blumberger, Kevan Clifford, Kevan Clifford, Ravinder Naik Dharavath, Philip Gerretsen, Philip Gerretsen, Ahmed N. Hassan, Ahmed N. Hassan, Ingrid M. Hope, Samantha H. Irwin, Sheila K. Jennings, Sheila K. Jennings, Bernard Le Foll, Bernard Le Foll, Osnat Melamed, Osnat Melamed, Josh Orson, Peter Pangarov, Leanne Quigley, Cayley Russell, Kevin Shield, Kevin Shield, Kevin Shield, Matthew E. Sloan, Matthew E. Sloan, Matthew E. Sloan, Matthew E. Sloan, Matthew E. Sloan, Ashley Smoke, Ashley Smoke, Victor Tang, Victor Tang, Victor Tang, Diana Valdes Cabrera, Diana Valdes Cabrera, Wei Wang, Samantha Wells, Samantha Wells, Samantha Wells, Rajith Wickramatunga, Etienne Sibille, Etienne Sibille, Etienne Sibille, Lena C. Quilty, Lena C. Quilty

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Presenting the model of factors affecting the resilience of entrepreneurial behavior in Technical and Vocational University of Alborz province by Ali Abdi Jamayran, Manouchehr Niknam, Hasan Rangriz

“…For the operational strategy; solutions such as research prioritization, entrepreneurship education planning, creation of science and technology parks, creation of growth centers, creation of learning network, creation of multinational companies and institutions, creation of technology transfer networks, creation of regional and international academic entrepreneurship networks, creation of industry and university liaison offices, creation of government and university networks, creation of entrepreneurial networks and institutional cooperation between them, educational and research and innovation institutions.…”
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An improved CNN model in image classification application on water turbidity by Ying Nie, Yuqiang Chen, Jianlan Guo, Shufei Li, Yu Xiao, Wendong Gong, Ruirong Lan

“…Convolutional neural networks (CNN) are widely used in image classification and perform well in feature extraction and classification. …”
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Improving the criteria of electricity consumptionforecasting in petrochemical industrial units based ondeep learning by Ehsan Tavakoli Garmaserh, Mehran Emadi

“…This study presents a novel deep learning framework that integrates advanced feature engineering and Long Short-Term Memory (LSTM) networks to address the challenges posed by irregular seasonal trends and dynamic consumption patterns. …”
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Deep learning-driven medical image analysis for computational material science applications by Li Lu, Mingpei Liang

“…Conventional machine learning approaches struggle with data heterogeneity and the need for extensive labeled datasets.MethodsTo overcome these limitations, we propose a deep learning-driven framework that integrates convolutional neural networks (CNNs) with transformer-based architectures for enhanced feature representation. …”
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Expeditious Dynamic Clustering in Preprocessing for High-Performance Classification by Anamika Pimpa, Narissara Eiamkanitchat

“…To assess the effectiveness of data preprocessing methods employing the novel EDC concept, its performance was evaluated with various data classification algorithms, including neural networks and decision trees. …”
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Asymmetric representation of symmetric semantic information in the human brain by Jiaxin Wang, Kiichi Kawahata, Antoine Blanc, Naoya Maeda, Shinji Nishimoto, Satoshi Nishida

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Machine Learning Techniques for Classification of Stress Levels in Traffic by Amanda Trojan Fenerich, Egídio José Romanelli, Rodrigo Eduardo Catai, Maria Teresinha Arns Steiner

“… The aim of this study is to apply Machine Learning techniques for predicting and classifying the stress level of people commuting from home to work and also to evaluate the performance of prediction models using feature selection. …”
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Travel Patterns Analysis Using Tensor-Based Model from Large-Scale License Plate Recognition Data by Zhaoxin Liu, Xiaolu Wang, Yufeng Bi, Jun Kong, Run Xu, Yuanpei Chen, Jinjun Tang

“…Travel patterns reflect the regularity of residents’ mobility, and it is a crucial factor to evaluate the reasonability of urban spatial structure and connectivity of road networks. …”
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The data analysis of sports training by ID3 decision tree algorithm and deep learning by Kaigong Wang, Lei Wang, Jiduo Sun

“…Traditional analysis methods have shortcomings in dealing with complex and multidimensional data, while analysis methods based on artificial intelligence can significantly improve the ability of feature extraction and prediction. Based on this background, this paper comprehensively evaluates the performance of each model in different dimensions by comparing six key indicators: mean square error (MSE), mean absolute error (MAE), information gain, feature importance, sports performance improvement rate and training target achievement rate. …”
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New mobile advertising formats targeting young audiences: an analysis of advertainment and influencers’ role in perception and understanding by Erika Fernández-Gómez, Paula Neira Placer, Beatriz Feijoo Fernández

“…The study emphasizes the importance of enhancing minors’ critical capacities to better navigate hybrid messages on social networks.…”
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A Robust Hybrid CNN–LSTM Model for Predicting Student Academic Performance by Kuburat Oyeranti Adefemi, Murimo Bethel Mutanga

“…This study proposes a hybrid deep learning model combining convolutional neural networks (CNN) and long short-term memory (LSTM) networks to improve the accuracy of student academic performance prediction and enable timely educational interventions. …”
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Improving Weakly-Supervised Video Instance Segmentation by Leveraging Spatio-Temporal Consistency by Farnoosh Arefi, Amir M. Mansourian, Shohreh Kasaei

“…Using the Davies-Bouldin score, the QCC provides an unsupervised measure of feature discrimination, allowing the model to self-evaluate and adapt to varying object distributions, enhancing robustness during the testing phase. …”
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Self-Supervised Keypoint Learning for the Geometric Analysis of Road-Marking Templates by Chayanon Sub-r-pa, Rung-Ching Chen

“…However, traditional feature-based methods struggle with templates that feature simple geometries and lack rich textures, making reliable feature matching and alignment difficult, even under controlled conditions. …”
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Performance of Machine Learning and Image Processing in Plant Leaf Disease Detection by Abu Sarwar Zamani, L. Anand, Kantilal Pitambar Rane, P. Prabhu, Ahmed Mateen Buttar, Harikumar Pallathadka, Abhishek Raghuvanshi, Betty Nokobi Dugbakie

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