D-VRE: From a Jupyter-enabled private research environment to decentralized collaborative research ecosystem by Yuandou Wang, Sheejan Tripathi, Siamak Farshidi, Zhiming Zhao

Get full text

Landfill methane emission: a case study using inversion methods, satellite and CRDS-based observations by Thaís Andrade da Silva, Izabel Da Silva Andrade, Izabel Da Silva Andrade, Elaine Cristina Araújo, Thaís Corrêa, Thaís Corrêa, Alex Carlos Pellegrinetti Mendes, Flávia Noronha Dutra Ribeiro, Maria de Fátima Andrade, Eduardo Landulfo

Get full text

Hierarchical Edge Computing by Ruslan L. Smeliansky

Get full text

Federated learning in food research by Zuzanna Fendor, Bas H.M. van der Velden, Xinxin Wang, Andrea Jr. Carnoli, Osman Mutlu, Ali Hürriyetoğlu

“…The use of machine learning in food research is sometimes limited due to data sharing obstacles such as data ownership and privacy requirements. …”
Get full text

A review on physics-informed machine learning for monitoring metal additive manufacturing process by Shoulan Yang, Shitong Peng, Jianan Guo, Fengtao Wang

“…The corresponding embedded physical knowledge, either integrated into loss function or data preprocessing, is also summarized for these applications. …”
Get full text

SARS‐CoV‐2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms by Seán I O’Donoghue, Andrea Schafferhans, Neblina Sikta, Christian Stolte, Sandeep Kaur, Bosco K Ho, Stuart Anderson, James B Procter, Christian Dallago, Nicola Bordin, Matt Adcock, Burkhard Rost

“…The resulting Aquaria‐COVID resource helps scientists use emerging structural data to understand the mechanisms underlying coronavirus infection and draws attention to the 31% of the viral proteome that remains structurally unknown or dark.…”
Get full text

Best practices for acceptability of GM crops field trials conclusions: lessons for Africa by Paul Chege, Julia Njagi, John Komen, Godfrey Ngure, John Muriuki, Margaret Karembu

“…Applicability of transported CFT data would be particularly beneficial to the public sector product developers and small enterprises that develop innovative GM events but cannot afford to replicate redundant CFTs, as well as regulatory authorities seeking to improve the deployment of limited resources. …”
Get full text

Towards a Decentralized Collaborative Framework for Scalable Edge AI by Ahmed M. Abdelmoniem , Mona Jaber , Ali Anwar , Yuchao Zhang , Mingliang Gao 

“…Nowadays, Edge Intelligence has seen unprecedented growth in most of our daily life applications. Traditionally, most applications required significant efforts into data collection for data-driven analytics, raising privacy concerns. …”
Get full text

Role of financial inclusion in enhancing the effect of remittance on economic growth in developing countries by Ahsan Aslam Khan, Mohammad Helmi Bin Hidthir, Mustazar Mansur, Zaki Ahmad

“…This study examines the role of financial inclusiveness in explaining the relationship between remittances and economic growth in developing countries. Using panel data for 79 countries from 2011 to 2021, the study employed Random Effects (RE), Fixed Effects (FE), and Generalized Method of Moments (GMM) to estimate how remittances influence Gross domestic product (GDP). …”
Get full text

From Ontology Design to User Experience. A Methodology to Design Interfaces for Information Seeking Purposes by Marco Grasso, Marilena Daquino, Giulia Renda

“…When designing data-driven web applications, users’ informative needs are aligned to knowledge organization (KO) requirements, which are secondly mapped to user interfaces (UI) components, and finally to user experience (UX) journeys. …”
Get full text

ARTIFICIAL INTELLIGENCE IN LANGUAGE EDUCATION IN TÜRKİYE: POTENTIAL CHALLENGES by S. Doğruer, Y. Tuğlu

“…RESULTS: Technological infrastructure limitations, high costs, reduced human interaction, and data security concerns could hinder the effective and secure use of AI-supported language learning applications. …”
Get full text

Constrained adversarial learning for automated software testing: a literature review by João Vitorino, Tiago Dias, Tiago Fonseca, Eva Maia, Isabel Praça

“…The found constrained data generation applications were systematized, and the advantages and limitations of approaches specific for white-box, grey-box, and black-box testing were analyzed, identifying research gaps and opportunities to improve automated testing tools with data generated by adversarial attacks.…”
Get full text

A Comprehensive Review of Multimodal Analysis in Education by Jared D. T. Guerrero-Sosa, Francisco P. Romero, Víctor H. Menéndez-Domínguez, Jesus Serrano-Guerrero, Andres Montoro-Montarroso, Jose A. Olivas

“…This comprehensive review synthesises findings from 177 peer-reviewed studies to examine the foundations, methodologies, tools, and applications of MMLA in education. It provides a detailed analysis of data collection modalities, feature extraction pipelines, modelling techniques—including machine learning, deep learning, and fusion strategies—and software frameworks used across various educational settings. …”
Get full text

Damage Detection and Identification on Elevator Systems Using Deep Learning Algorithms and Multibody Dynamics Models by Josef Koutsoupakis, Dimitrios Giagopoulos, Panagiotis Seventekidis, Georgios Karyofyllas, Amalia Giannakoula

“…For this purpose, multiple signal analysis methods have been developed to help identify anomalies in a system, through quantities such as vibrations or deformations in its critical components. In most applications, however, these data may be scarce or inexistent, hindering the overall process. …”
Get full text

Obtaining personalized predictions from a randomized controlled trial on Alzheimer’s disease by Dennis Shen, Anish Agarwal, Vishal Misra, Bjoern Schelter, Devavrat Shah, Helen Shiells, Claude Wischik

“…The SNN estimator is interpretable, transparent, and causally justified under a broad class of missing data scenarios. Relative to several standard methods, we empirically find that SNN performs well for the above two applications using Phase 3 clinical trial data on patients with Alzheimer’s Disease. …”
Get full text

DLProv: a suite of provenance services for deep learning workflow analyses by Débora Pina, Liliane Kunstmann, Adriane Chapman, Daniel de Oliveira, Marta Mattoso

“…Each step involves decisions impacting the final model’s performance, interpretability, and applicability. These models rely on data, preprocessing operations, and configuration, underscoring the need for mechanisms to ease the analysis throughout the entire life cycle—from model generation and selection to deployment. …”
Get full text

Motif clustering and digital biomarker extraction for free-living physical activity analysis by Ya-Ting Liang, Charlotte Wang

“…Abstract Background Analyzing free-living physical activity (PA) data presents challenges due to variability in daily routines and the lack of activity labels. …”
Get full text

Comparison of Manhattan and Chebyshev Distance Metrics in Quantum-Based K-Medoids Clustering by Solikhun Solikhun, Muhammad Rahmansyah Siregar, Lise Pujiastuti, Mochamad Wahyudi, Deny Kurniawan

“…Clustering is a technique in data mining used to identify patterns that can support decision-making processes. …”
Get full text

A Drone-Deployable Remote Current Sensor for Non-Invasive Overhead Transmission Lines Monitoring by Khaled Osmani, Detlef Schulz

“…This topology offers a promising solution for remote current monitoring in TLs, contributing to smart grid applications. The paper also outlines potential future work to enhance the system’s performance and applicability.…”
Get full text

MACHINE LEARNING AS A CORPORATION'S TOOL FOR SELECTION OF SUPPLIERS by V. V. Baklushinskii, E. V. Pustynnikova

Get full text