Is it possible to perform a comprehensive analysis of the diagnostic data of mental diseases in the early stages? by N. M. Zalutskaya, A. Eran, Sh. Freilikhman, R. Balicer, N. A. Gomzyakova, V. V. Korkhov, N. G. Neznanov, A. V. Bogdanov, A. B. Degtyarev

“…For this purpose it is planned to use the methods of multidimensional statistical analysis and modern methods of machine learning.…”
Get full text

Design and Implementation of an ETL Pipeline for Prospective Student Data Analysis in Higher Education Admissions by Nina Setiyawati, Dwi Hosanna Bangkalang, Gilang Windu Asmara

Get full text

Advances in Biomedical Missing Data Imputation: A Survey by Miriam Barrabes, Maria Perera, Victor Novelle Moriano, Xavier Giro-I-Nieto, Daniel Mas Montserrat, Alexander G. Ioannidis

“…These methods range from traditional statistical analysis to more modern approaches such as discriminative machine learning models and deep generative networks. …”
Get full text

Big Data and AI Algorithms for Sustainable Development Goals: A Topic Modeling Analysis by Prema Nedungadi, Simi Surendran, Kai-Yu Tang, Raghu Raman

“…Using BERTopic modeling, a machine learning technique, this research systematically analyzes literature from 2013 to 2024, providing an overview of AI and big data applications mapped to SDGs which is a first. …”
Get full text

Breath Detection from a Microphone Using Machine Learning by Tomasz Sankowski, Piotr Sulewski, Jan Walczak, Aleksandra Bruska

Get full text

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

“…It automates critical analysis steps, such as quality control, data processing, and phenotype‐specific analyses, while also offering interactive, publication‐ready visualizations. …”
Get full text

Adapting Efficiency Analysis in Health Systems: A Scoping Review of Data Envelopment Analysis Applications During the COVID-19 Pandemic by Athanasios Mitakos, Panagiotis Mpogiatzidis

“…<b>Objective:</b> To synthesize the current evidence base concerning the application of Data Envelopment Analysis (DEA) in healthcare efficiency during the COVID-19 pandemic using a scoping review of 13 primary studies. …”
Get full text

Research Progress on Data-Driven Industrial Fault Diagnosis Methods by Liang Lei, Weibin Li, Shiwei Zhang, Changyuan Wu, Hongxiang Yu

“…Subsequently, it provides an in-depth analysis of data-driven fault diagnosis techniques in industrial applications, with particular emphasis on the pivotal role of deep learning algorithms in fault diagnosis. …”
Get full text

Compression of Marine Environmental Data Using Convolutional Attention Autoencoder by Xuehai Sun, Peiyu Wang, Yanxia Zhou, Kedi Wu, Limin Huang, Xuewen Ma

Get full text

Smartphone sensor-based depression detection in campus environments: a proof-of-concept study with small-sample behavioral analysis by Yichen Bai, Yueze Liu, Yang Zhang, Amr Tolba

Subjects: Get full text

Empirical study of privacy inference attack against deep reinforcement learning models by Huaicheng Zhou, Kanghua Mo, Teng Huang, Yongjin Li

Get full text

Construction of a Web Game for the Teaching-Learning Process of Electronics during the COVID-19 Pandemic by Ricardo-Adán Salas-Rueda, Clara Alvarado-Zamorano, Jesús Ramírez-Ortega

“…The aim of this mixed research was the construction and usage analysis of the Digital Game for the teaching-learning process on Electronics (DGE) version 3.0 in the Combinational Circuits unit through data science. …”
Get full text

Determination of brown egg fertility by multi-directional visible/near-infrared spectroscopy and machine learning by Seyyedeh Arefeh Hosseini, Ahmad Banakar, Saeid Minaei, Saman Abdanan Mehdizadeh, Mohamad Amir Karimi Torshizi, Guoming Li

“…Four preprocessing methods (e.g., Savitzky-Golay, Gaussian, Multiplicative Scatter Correction, and Standard Normal Variet) were separately or jointly applied to filter un-wanted data and noises in spectrums. Then feature selection was performed using Principal Component Analysis and T-test. …”
Get full text

Towards Predicting Basketball Player Positions with Transformative Insights by Angelos Tsiannis, Christodoulos Efstathiades

Get full text

Efficient distributed model sharing strategy for data privacy protection in Internet of vehicles by Zijia MO, Zhipeng GAO, Yang YANG, Yijing LIN, Shan SUN, Chen ZHAO

“…Aiming at the efficiency problem of privacy data sharing in the Internet of vehicles (IoV), an efficient distributed model sharing strategy based on blockchain was proposed.In response to the data sharing requirements among multiple entities and roles in the IoV, a master-slave chain architecture was built between vehicles, roadside units, and base stations to achieve secure sharing of distributed models.An asynchronous federated learning algorithm based on motivate mechanism was proposed to encourage vehicles and roadside units to participate in the optimization process.An improved DPoS consensus algorithm with hybrid PBFT was constructed to reduce communication costs and improve consensus efficiency.Experimental analysis shows that the proposed mechanism can improve the efficiency of data sharing and has certain scalability.…”
Get full text

Content analysis of multi-annual time series of flood-related Twitter (X) data by N. Veigel, N. Veigel, N. Veigel, H. Kreibich, J. A. de Bruijn, J. A. de Bruijn, J. C. J. H. Aerts, J. C. J. H. Aerts, A. Cominola, A. Cominola

Get full text

A Quantitative Approach to Data Collection and Analysis of ECHO Programs Focused on Cancer Care by Jennifer McBride, Patrick Edwards, Mindi Odom, Rich Killewald

Get full text

The impact of big data analytics on digital marketing decision-making: A comprehensive analysis by Roberta Bajrami, Adelina Gashi, Kaltrina Bajraktari, Etleva Namligjiu

“…An online questionnaire, delivered through SurveyMonkey, achieved a 92% response rate (n = 230), capturing data on tool usage, benefits, and problems. Data pre-processing includes duplicate removal and mean imputation, followed by K-means clustering and logistic regression analysis using Python (scikit-learn, pandas). …”
Get full text

WoFSCast: A Machine Learning Model for Predicting Thunderstorms at Watch‐to‐Warning Scales by Montgomery L. Flora, Corey Potvin

Get full text

Data-Efficient Training of Gaussian Process Regression Models for Indoor Visible Light Positioning by Jie Wu, Rui Xu, Runhui Huang, Xuezhi Hong

“…The proposed method employs the methodology of active learning (AL) to progressively update the effective training dataset with data of low similarity to the existing one. …”
Get full text