AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices by Aiswarya Baburaj, Syamini Jayadevan, Akshaya Kumar Aliyana, Naveen Kumar SK, George K Stylios

“…Artificial intelligence (AI), with its capabilities in advanced data analysis, pattern recognition, and adaptive responses, is revolutionizing fields like healthcare, industrial automation, and smart infrastructure. …”
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A comparative study of methods for dynamic survival analysis by Wieske K. de Swart, Marco Loog, Jesse H. Krijthe, Jesse H. Krijthe

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Comparing factor mixture modeling and conditional Gaussian mixture variational autoencoders for cognitive profile clustering by Matteo Orsoni, Sara Giovagnoli, Sara Garofalo, Noemi Mazzoni, Matilde Spinoso, Mariagrazia Benassi

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Chaperonin containing TCP1 subunit 5 as a novel pan-cancer prognostic biomarker for tumor stemness and immunotherapy response: insights from multi-omics data, integrated machine le... by Jiajun Li, Nuo Xu, Leyin Hu, Jiayue Xu, Yifan Huang, Deqi Wang, Feng Chen, Yi Wang, Jiani Jiang, Yanggang Hong, Huajun Ye

“…A novel CCT5-based signature (CCT5.Sig) was developed using machine learning on 23 immune checkpoint blockade (ICB) cohorts (n = 1394) spanning eight cancer types. …”
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An AI‐Enabled Data Processing Pipeline for Ingesting Borehole Data in Peridotite Environments by John M. Aiken, Elliot Dufornet, Hamed Amiri, Lotta Ternieten, Oliver Plümper

“…This paper aims to establish a repeatable and efficient pattern for processing such multifaceted data from the well. …”
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Development and validation of a novel public prediction platform for deciduous caries in preschool children: an observational study from Northwest China by Zhidong Zhang, Zhihao Dou, Xu Zhang, Di Wang, Kamenjiang Abudoureheman, Yimin Yan, Fenyan Kang, Wei Zhang, Wenbo Meng, Kailiang Zhang, Zhige Li, Jie Zhang, Bin Liu, Baoping Zhang

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Identification of Subtypes of Post-Stroke and Neurotypical Gait Behaviors Using Neural Network Analysis of Gait Cycle Kinematics by Andrian Kuch, Nicolas Schweighofer, James M. Finley, Alison McKenzie, Yuxin Wen, Natalia Sanchez

“…Prior studies classified heterogeneous gait patterns into subgroups using peak kinematics, kinetics, or spatiotemporal variables. …”
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Direct Discrimination and Growth Estimation of Foodborne Bacteria in Raw Meat Using Electronic Nose by Wellington Belarmino Gonçalves, Wanderson Sirley Reis Teixeira, Aryele Nunes da Cruz Encide Sampaio, Otávio Augusto Martins, Evelyn Perez Cervantes, Mateus de Souza Ribeiro Mioni, Jonas Gruber, Juliano Gonçalves Pereira

“…Concerning the machine learning algorithms, the accuracy varied from 93.8 to 100% for beef and chicken, while for pork, it varied from 75% to 100%. …”
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Soil Texture Mapping in the Permafrost Region: A Case Study on the Eastern Qinghai–Tibet Plateau by Wangping Li, Yadong Liu, Xiaodong Wu, Lin Zhao, Tonghua Wu, Guojie Hu, Defu Zou, Yongping Qiao, Xiaoying Fan, Xiaoxian Wang

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Improving I-ELM structure through optimal addition of hidden nodes: Compact I-ELM by Sunghyo Seo, Jongkwon Jo, Muhammad Hamza, Youngsoon Kim

“…Abstract Incremental extreme learning machines (I-ELMs) can automatically determine the structure of neural networks and achieve high learning speeds. …”
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An Innovative Analysis of Time Series-Based Detection Models for Improved Cancer Detection in Modern Healthcare Environments by Uma Shankari Srinivasan, Venkat Pavithra, Kaliappan Sutha, Sridevi Ramachandiran, Nallathambi Indumathi

“…This enhanced version of time series analysis incorporates multiple layers of data sources and uses advanced machine learning algorithms to identify patterns that could signal the presence of a tumor. …”
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An Exploratory Network Analysis of Discussion Topics About Autism Across Subreddit Communities by Skylar DeWitt, Kendall Mills, Adam M. Briggs

“…Using an inductive computational approach, our present data exploration sought to use machine learning methodology to define and identify patterns and gain insight into autism-related discussions on Reddit across three different categories of subreddits: (a) individuals who self-identify as autistic, (b) parents of individuals on the autism spectrum, and (c) behavior therapists. …”
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Anomaly detection of smart grid stealing network attacks based on deep autoencoder by Huang Yan, Li Jincan, Yang Xiaqin, Li Pei, Li Zi

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A Data Centric HitL Framework for Conducting aSsystematic Error Analysis of NLP Datasets using Explainable AI by Ahmed El-Sayed, Aly Nasr, Youssef Mohamed, Ahmed Alaaeldin, Mohab Ali, Omar Salah, Abdullatif Khalid, Shaimaa Lazem

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Transcriptomic exploration yields novel perspectives on the regulatory network underlying trichome initiation in Gossypium arboreum hypocotyl by Yuxing Xie, Luying Yang, Zewei Zhao, Mingquan Ding, Yuefen Cao, Xin Hu, Junkang Rong

“…RT-qPCR validation confirmed their stage-specific expression patterns, which were consistent with the RNA-Seq data. …”
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Mapping football tactical behavior and collective dynamics with artificial intelligence: a systematic review by José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, Eduardo Maio, Eduardo Maio, Eduardo Maio, Pedro Afonso, Pedro Afonso, Samuel Encarnação, Samuel Encarnação, Samuel Encarnação, Guilherme F. Machado, Guilherme F. Machado, Ryland Morgans, Tiago M. Barbosa, Tiago M. Barbosa, António M. Monteiro, António M. Monteiro, Pedro Forte, Pedro Forte, Pedro Forte, Ricardo Ferraz, Ricardo Ferraz, Luís Branquinho, Luís Branquinho, Luís Branquinho, Luís Branquinho

“…The performance of technical-tactical key indicators was expressed by team possession, team formation, team strategy, team-space control efficiency, determining team formations, coordination patterns, analyzing player interactions, ball trajectories, and pass effectiveness. …”
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ML-Based Control Strategy for PHEV Under Predictive Vehicle Usage Behaviour by Aleksandr Doikin, Aleksandr Korsunovs, Felician Campean, Oscar García-Afonso, Enrico Agostinelli

“…This study, based on extended real-world data (journeys history from 10 vehicles over 12 months), shows that trip patterns can be learnt quite effectively using classic ML classification algorithms. …”
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Future flood susceptibility mapping under climate and land use change by Hamidreza Khodaei, Farzin Nasiri Saleh, Afsaneh Nobakht Dalir, Erfan Zarei

“…Understanding how climate change and land use and land cover (LULC) changes influence flood patterns is crucial for developing sustainable management strategies. …”
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Prediction of Fractal Dimension in Shale CT and its Robustness to Interference Based on Convolutional Neural Networks by SUN Dingwei, WANG Lei, YANG Dong, HUANG Xudong, JIA Yichao

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Integrative analysis of miRNA expression data reveals a minimal signature for tumour cells classification by Sabrina Napoletano, David Dannhauser, Paolo Antonio Netti, Filippo Causa

“…In this study, we present a comprehensive integrative approach that utilizes transcriptomic data from lung, breast, and melanoma cancer cell lines to identify specific expression patterns. By combining bioinformatics, dimensionality reduction techniques, machine learning, and experimental validation, we pinpoint miRNAs linked to critical biological pathways. …”
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