Replicable Fine-Spatio-Temporal Climate Data for Long-Term Ecology in the Western Mediterranean by Daniel Romera-Romera, Francisca Alba-Sánchez, Daniel Abel-Schaad, Diego Nieto-Lugilde

“…Here, we present (i) a toolkit for applying advanced downscaling techniques to coarse-resolution climate datasets within the widely used R programming framework, and (ii) downscaled data for a region recognized as a global biodiversity hotspot. …”
Get full text

Dynamic UAV data fusion and deep learning for improved maize phenological-stage tracking by Ziheng Feng, Jiliang Zhao, Liunan Suo, Heguang Sun, Huiling Long, Hao Yang, Xiaoyu Song, Haikuan Feng, Bo Xu, Guijun Yang, Chunjiang Zhao

“…To address these challenges, we employed the Synthetic Minority Oversampling Technique (SMOTE) for sample augmentation, aiming to resolve the small sample modelling problem. …”
Get full text

Harnessing Data Analytics for Enhanced Public Programming in Archives and Museums: A Scoping Review by Mthokozisi Masumbika Ncube, Patrick Ngulube

“…This scoping review aimed to address this gap by mapping the available literature at the intersection of data analytics, archives, and museums. …”
Get full text

A response to the European Data Protection Supervisor ‘Misunderstandings in Biometrics’ by the European Association for Biometrics by Christoph Busch, Adam Czajka, Farzin Deravi, Pawel Drozdowski, Marta Gomez‐Barrero, Georg Hasse, Olaf Henniger, Els Kindt, Jascha Kolberg, Alexander Nouak, Kiran Raja, Raghavendra Ramachandra, Christian Rathgeb, Jean Salomon, Raymond Veldhuis

“…In particular, it aims to highlight some important missing information in the aforementioned publication. …”
Get full text

Adaptive Weighted Diversity Ensemble Learning Approach for Fetal Health Classification on Cardiotocography Data by K. Aditya Shastry, Mohan Sellappa Gounder, T. G. Mohan Kumar, D. U. Karthik, V. Sushma, D. Subashree

“…However, existing methodologies face challenges in achieving precise classifications. This research aims to enhance fetal health assessment accuracy by developing a robust model through the integration of advanced ensemble learning techniques with feature selection, scaling, and adaptive weighting mechanisms. …”
Get full text

Optimising Data Analytics to Enhance Postgraduate Student Academic Achievement: A Systematic Review by Mthokozisi Masumbika Ncube, Patrick Ngulube

“…As such, this review aimed to identify data analytics approaches used by HEIs and explore challenges and best practices in their application. …”
Get full text

Comparative Analysis of Time Series Prediction Algorithms on Multiple Network Function Data of NWDAF by Dasheng Chen, Qi Song, Yinbin Zhang, Ling Li, Zhiming Yang

“…This diverse set of models was carefully chosen to ensure comprehensive coverage of different techniques and algorithms. Through the comparison and analysis of these models, we aim to evaluate their predictive capabilities and identify the most effective approach for network element performance prediction. …”
Get full text

Comparison of Machine Learning Models for Sentiment Analysis of Big Turkish Web-Based Data by Cemile Gökçe Özmen, Selim Gündüz

“…Thus, although there have been significant improvements in the characteristics of big data, such as speed and volume, developing various analysis techniques to monitor, understand, and extract useful information from this web-based data has become challenging. …”
Get full text

A Comprehensive Methodological Survey of Human Activity Recognition Across Diverse Data Modalities by Jungpil Shin, Najmul Hassan, Abu Saleh Musa Miah, Satoshi Nishimura

“…This paper presents a comprehensive survey of the latest advancements in HAR from 2014 to 2025, focusing on Machine Learning (ML) and Deep Learning (DL) approaches categorized by input data modalities. We review both single-modality and multi-modality techniques, highlighting fusion-based and co-learning frameworks. …”
Get full text

PERFORMANCE COMPARISON OF DECISION TREE AND LOGISTIC REGRESSION METHODS FOR CLASSIFICATION OF SNP GENETIC DATA by Adi Setiawan, Febi Setivani, Tundjung Mahatma

“…This research was conducted to compare the accuracy when decision tree and logistic regression methods are used on some data. Decision tree is one method of classification techniques in data mining. …”
Get full text

Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

“…Abstract The analysis of basketball strategies has traditionally relied on manual observation and limited data. As tracking technology progresses, there is potential for applying Artificial Intelligence specifically to strategy, delivering insights into defensive techniques to the teams. …”
Get full text

Enhancing Quality Control of Packaging Product: A Six Sigma and Data Mining Approach by Resty Ayu Ramadhani, Rina Fitriana, Anik Nur Habyba, Yun-Chia Liang

“…By leveraging the Six Sigma method and data mining techniques, the study systematically addresses the complexities associated with defect reduction in packaging for cosmetics product. …”
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

“…In addition, it can also be used as a solution to increase the scalability and flexibility of data mobilization in the BI system. This study introduces a novel approach by designing an ETL pipeline within a business intelligence framework aimed at enhancing university marketing efforts. …”
Get full text

TRANSLATION STUDY OF REFUSAL STRATEGY IN BEAUTIFUL MALICE NOVEL (A PRAGMATIC APPROACH) by Wyut Yee Soe

“…The study aims to know translation technique and translation quality of refusal strategy in Beautiful Malice novel. …”
Get full text

Quantitative Evaluation of Rotational Wood Welding Joint Strength Based on Regression of Data Sets by Yun Xu, Xuejiao Wang, Aleksandr G. Chernykh, Roshchina I. Svetlana, Pavel S. Koval, Egor V. Danilov, Anatoly Y. Naichuk

“…This study aimed to enhance rotational wood welding technology by developing a simplified prediction model for pull-out strength. …”
Get full text

Can the Artificial Intelligence Speak? Subalternity of “Subontologies” and the Death of the Programmer by Haktan Kalır

Get full text

A Hierarchical Archimedean Copula (HAC) model for climatic variables: an application to Kenyan data by Kevin Otieno, Linda Chaba, Linda Chaba, Evans Omondi, Evans Omondi, Collins Odhiambo, Collins Odhiambo, Bernard Omolo, Bernard Omolo

“…However, conventional copula approaches, such as the bivariate copula, often fail to capture complex interactions in high-dimensional climate data. This study aims to develop a multivariate joint distribution model for climatic variables using the Hierarchical Archimedean Copula (HAC) framework.MethodsParametric methods were used to fit marginal distributions to the six variables. …”
Get full text

Speech-dependent data augmentation for own voice reconstruction with hearable microphones in noisy environments by Mattes Ohlenbusch, Christian Rollwage, Simon Doclo

“…In this paper, we investigate several data augmentation techniques to simulate a large amount of in-ear own voice signals from a limited amount of recorded own voice signals. …”
Get full text

Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids by Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…This study explores various methods for transforming energy consumption patterns into two-dimensional (2D) representations to enhance feature extraction and NTL detection. Six encoding techniques for time series data were evaluated: Markov transition fields (MTF), Gramian angular summation field (GASF), Gramian angular difference field (GADF), Recurrence plots (RP), and time–frequency analysis methods, including short-time Fourier transform (STFT) and continuous wavelet transform (CWT). …”
Get full text

Semantics-driven improvements in electronic health records data quality: a systematic review by Yirong Wu, Mudan Ren, Na Chen, Liu Yang

“…Objective This systematic review aimed to explore the potential of employing a range of semantic technologies to improve EHR data quality in a broader spectrum of application scenarios. …”
Get full text