PREDICATIVE ARRANGEMENT OF NATIONAL ANTHEM TEXTS IN ENGLISH- AND GERMAN- SPEAKING COMMUNITIES by Anatoliy M. Prykhodko, Nataliia V. Lazebna

“…These features determine the predicative algorithm for their function in public communication. …”
Get full text

Artificial Intelligence in cancer epigenomics: a review on advances in pan-cancer detection and precision medicine by Karishma Sahoo, Prakash Lingasamy, Masuma Khatun, Sajitha Lulu Sudhakaran, Andres Salumets, Vino Sundararajan, Vijayachitra Modhukur

“…Aberrant methylation patterns enable early cancer detection and therapeutic stratification; however, their complex patterns necessitates advanced analytical tools. …”
Get full text

Energy Demand Forecasting Scenarios for Buildings Using Six AI Models by Khaled M. Salem, Francisco J. Rey-Martínez, A. O. Elgharib, Javier M. Rey-Hernández

“…This research addresses a significant gap in energy demand forecasting across three building types by comparing six machine learning algorithms: Artificial Neural Networks, Random Forest, XGBoost, Radial Basis Function Network, Autoencoder, and Decision Trees. …”
Get full text

Optimization of sports injury treatment through artificial intelligence: Methods for effective prevention, diagnosis and rehabilitation by Kimi Milić Marko, Sinanović Šćepan, Jestrović Vladimir

“…Through a systematic review of existing studies and technological advancements, key strategies introduced by AI in this field have been identified. The research methodology includes big data analysis, image processing, machine learning, and customized algorithms for prediction and rehabilitation monitoring. …”
Get full text

Symbols of fear in pandemics: a Kristevan analysis of COVID-19 symbols and power relations in Indonesia by Eko Nugroho, Devi Tri Indriasari, Karman Karman, Amri Dunan, Makroen Sanjaya, Bambang Mudjiyanto, Rukman Pala, Syarifuddin Syarifuddin, Muhammad Rustam

“…Drawing upon Kristeva’s concept of intertextuality and Foucault’s genealogical approach, the research analysed recurring patterns in constructing and disseminating knowledge surrounding disease outbreaks from the Plague of Athens to the present day. …”
Get full text

Multi-omics derivation of a core gene signature for predicting therapeutic response and characterizing immune dysregulation in inflammatory bowel disease by Mingming Wang, Liping Liang, Zibo Tang, Jimin Han, Lele Wu, Le Liu, Le Liu, Ye Chen, Ye Chen

Get full text

An Exploration of the Use of Educational Robotics in Preschool Education by Veronica Mihaela Rus, Beatrice Almășan

“…Decomposition, abstraction, pattern recognition and algorithms were the four components of computational thinking analyzed and all obtained a score above the mean of the Likert scale used. …”
Get full text

Autoinflammatory diseases: An immunologist’s view by A. Yu. Shcherbina

Get full text

Explainable Anomaly Detection Based on Operational Sequences in Industrial Control Systems by Ka-Kyung Kim, Joon-Seok Kim, Ieck-Chae Euom

“…Anomaly detection systems, initially implemented for detecting device faults or failures, have increasingly become the focus of research aimed at identifying attack patterns as cyberattack techniques become more sophisticated and intelligent. …”
Get full text

Assessing the Effects of Climate Change and Land‐Use Changes on Extreme Discharge in the Western Watershed of Lake Urmia, Iran by Ghasem Farahmand, Behzad Hessari, Hossein Salehi

Get full text

Design, assembly, alignment and application of a versatile, open-source, single-pixel microscope by Samuel I. Zapata-Valencia, Heberley Tobón-Maya, Luis Ordoñez, Andrea Farina, Jesús Lancis, Enrique Tajahuerce

“…Abstract Single-pixel microscopy (SPM) is an emerging imaging technique in which a sample is illuminated with a series of micro-structured light patterns, typically generated by a digital micromirror device (DMD). …”
Get full text

Automated Text Structuring: Natural Language Processing and Regular Expressions in XML Tag Filling by Ivan P. Malashin, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

“…NLP enhances content understanding, while regex enables precise pattern matching. This approach streamlines the conversion process, reducing manual effort and ensuring standardized tagging. …”
Get full text

A deep learning model for predicting systemic lupus erythematosus-associated epitopes by Jiale He, Zixia Liu, Xiaopo Tang

“…Traditional bioinformatics methods often struggle to capture the intricate sequence patterns and high-dimensional signals characteristic of epitope data. …”
Get full text

PREDICTION INTERVALS IN MACHINE LEARNING: RESIDUAL BOOTSTRAP AND QUANTILE REGRESSION FOR CASH FLOW ANALYSIS by Wa Ode Rahmalia Safitri, Farit Mochamad Afendi, Budi Susetyo

“…This study implements multivariate time series forecasting using gradient boosting algorithms (XGBoost, CatBoost, and LightGBM) to predict cash flow patterns in banking transactions, focusing on constructing reliable prediction intervals. …”
Get full text

Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods by Bayan Banimfreg, Ernesto Damiani, Vesta Afzali Gorooh, Duncan Axisa, Luca Delle Monache, Youssef Wehbe

“…Abstract Background In the hyper-arid environment of the United Arab Emirates (UAE), understanding rainfall patterns is essential for effective water resource management, agricultural planning, and ecological conservation. …”
Get full text

RICE AlgebraBot: Lessons learned from designing and developing responsible conversational AI using induction, concretization, and exemplification to support algebra learning by Chenglu Li, Wanli Xing, Yukyeong Song, Bailing Lyu

“…Specifically, we first examined computational strategies to mitigate the ethical concerns of ConvAI in educational setting with educational big data (npretraining = 2,097,139) and found that researchers could effectively enhance ConvAI responsibility through the investigated algorithmic strategies. …”
Get full text

Concept Drift Detection in Data Stream Mining : A literature review by Supriya Agrahari, Anil Kumar Singh

“…The traditional classifiers are not expected to learn the patterns in a non-stationary distribution of data. …”
Get full text

Successive Cohorts of Twitter Users Show Increasing Activity and Shrinking Content Horizons by Frederik Wolf, Sune Lehmann, Philipp Lorenz-Spreen

“… The global public sphere has changed dramatically over the past decades: A significant part of public discourse now takes place on algorithmically driven platforms. Despite its growing importance, there is scant large-scale academic research on the long-term evolution of user behaviour on these platforms. …”
Get full text

A Bibliometric Analysis of Publications on Surveillance and New Media Concepts in The Web of Science Database by Anıl Durmuşahmet

“…Using VOSviewer software, the study maps co-authorship networks, citation patterns, keyword trends, and institutional contributions. …”
Get full text

Early Warning Systems for Plant Diseases in delta regions: Machine Learning Approaches by Biswas Debarghya, Sharma Priti

“…Integrated into the study is a variety of machine learning techniques such as supervised and unsupervised learning, as well as deep learning, and the study makes use of satellite imagery, weather data, soil sensors, and historical disease records from various sources. Some patterns and anomalies can indicate the onset of plant diseases, and the algorithms are trained to recognize them. …”
Get full text