Comparing Linear and Nonlinear Models for Load Profile Data Using ANOVA, AIC, and BIC by Ilir Keka, Betim Çiço

“…The study’s main focus is on data transformation and visualization, which were essential for using the R tool to find patterns and relationships in the data. …”
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Data Dashboard Acceptability, Use, and Perceived Effectiveness in Disseminating Local Overdose Data and Resources in a Rural New York State County: A Cross-Sectional Study by Zhongxuan He, Monika Salvage, Corinna A Noel

“…Data were analyzed using descriptive statistics. …”
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Intelligent Interior Design Systems: Optimizing Layouts and Aesthetics Using AI and User Data by Zhe Ji, Yan Yu

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Semantic Template Recognition of Human Activities in Wearable Sensor Data Using Siamese Network by Emanuele Lattanzi, Chiara Contoli, Lorenzo Calisti, Giacomo Di Fabrizio, Nicholas Kania, Susanna Peretti

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Modeling and Predicting Human Actions in Soccer Using Tensor-SOM by Moeko Tominaga, Yasunori Takemura, Kazuo Ishii

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Comparative Analysis of Glycogene Expression in Different Mouse Tissues Using RNA-Seq Data by Ahmad Firoz, Adeel Malik, Sanjay Kumar Singh, Vivekanand Jha, Amjad Ali

“…These DEGGs were then used to construct three interaction networks by using GeneMANIA, from which we detected potential hub genes such as PEMT and HPXN (BvL579), IGF2 and NID2 (BvM501), and STAT6 and FLT1 (LvM442), having the highest degree. …”
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Scalability analysis of heavy-duty gas turbines using data-driven machine learning by Shubhasmita Pati, Julian D. Osorio, Mayank Panwar, Rob Hovsapian

“…While physics-driven GT models integrate thermodynamics, fluid dynamics, and combustion principles, they often rely on approximate mathematical representations to accommodate scaling that may not capture the actual complex dynamics for GTs and inertial effects associated to GTs with different ratings. In this study, a data-driven model is proposed using machine learning (ML) techniques to conduct GT scalability analysis and performance evaluation with high accuracy. …”
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A cohort study of prolactin and non-puerperal mastitis using real world data by Yulian Yin, Haoxin Le, Yifan Cheng, Yuanyuan Zhong, Yiqin Cheng, Bing Wang, Jingjing Wu, Meina Ye, Hongfeng Chen

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Conceptual approaches to the interaction of labor market entities and educational institutions in the Russian Federation within the ecosystem based on neural network mechanisms by Elena Eduardovna Alenina, Vera Vitalievna Ziulina, Ilya Aleksandrovich Alenin, Sergey Vladimirovich Bolotnikov, Dmitry Vladimirovich Redin, Lyubov Viktorovna Borodacheva

“…The main subjects of the system have been characterized through the "pool" and "swimline" tools, their interaction through the "flow", "messages flows" tools, the main operations displayed through private processes data mining, IDSS, communication driven and document driven interaction. …”
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Technology-Enhanced Multimodal Learning Analytics in Higher Education: A Systematic Literature Review by Ozan Rasit Yurum

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Ideas of enterprise informationization based on user experience by Feng CHEN, Tongfei XIA, Dongshu YANG

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Citizen perceptions on the use, management and availability of green spaces in a Mediterranean region by Daniel Jato-Espino, Fabio Capra-Ribero, Vanessa Moscardó, Laura O. Gallardo

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circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data by Petr Ryšavý, Alikhan Anuarbekov, Michaela Dostálová Merkerová, Jiří Kléma

“…To address this issue, we propose an extended algorithm named circGPAcorr, which uses expression data to weight the interactions, resulting in more precise functional annotation. …”
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Comprehensive analysis of multi‐omics single‐cell data using the single‐cell analyst by Lu Pan, Bufu Tang, Xuan Zhang, Paolo Parini, Roman Tremmel, Joseph Loscalzo, Volker M. Lauschke, Bradley A. Maron, Paola Paci, Ingemar Ernberg, Nguan Soon Tan, Ákos Végvári, Zehuan Liao, Sundararaman Rengarajan, Roman Zubarev, Yuxuan Fan, Xu Zheng, Xinyue Jian, Ren Sheng, Zhenning Wang, Xuexin Li

“…The platform offers both online and offline modes, providing flexibility for various use cases. It automates critical analysis steps, such as quality control, data processing, and phenotype‐specific analyses, while also offering interactive, publication‐ready visualizations. …”
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Forecasting agricultural tourism experience quality using internet of things and big data in China by Meng Zhu

“…In response to this issue, this research builds a prediction model for agricultural tourism experience quality assessment using big data and the Internet of Things (ATEQA-BD-IoT). …”
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Investigation of Freeway Incident Duration Using Classification and Regression Trees Based on Multisource Data by Xun Xie, Gen Li, Lan Wu, Shuxin Du

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Evaluating ensemble models for fair and interpretable prediction in higher education using multimodal data by Felipe Emiliano Arévalo-Cordovilla, Marta Peña

“…The objective was to develop a robust predictive framework by integrating Moodle interactions, academic history, and demographic data using SMOTE for class balancing. …”
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Adaptive Learning Approach for Human Activity Recognition Using Data from Smartphone Sensors by Leonidas Sakalauskas, Ingrida Vaiciulyte

“…In this case, a recognition algorithm must be re-trained with training data of a specific size. Thus, an adaptive (also known as, online or incremental) learning algorithm would be useful in this situation. …”
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Tools for forecasting regional economic growth using big data and business intelligence technologies by Afanasev Kirill, Kalinin Aleksandr

“…The developed tools were tested on data from 76 Russian regions for 2015–2023 using distributed computing systems. …”
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Cotton Leaf Disease Detection Using LLM-Synthetic Data and DEMM-YOLO Model by Lijun Gao, Tiantian Ran, Hua Zou, Huanhuan Wu

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