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Articles (4)

Research Article

Published: 06 May 2025

Comprehensive Classification of Web Tracking Systems: Technological Insights and Analysis

Volume 2

Web tracking (WT) systems are advanced technologies that are used to monitor and analyze online user behavior. Initially focused on HTML and static webpages, these systems have evolved with the proliferation of IoT, edge computing, and Big Data, encompassing a broad array of interconnected devices with APIs, interfaces, and computing nodes for interaction. WT systems are pivotal in technological innovation and business development, although trends like GDPR complicate data extraction..

Research Article

Published: 20 Mar 2025

Prediction of Cognitive Impairment Using a Deep Learning Autoencoder Algorithm from a Singapore Study

Volume 2

Dementia is a decline in cognitive function, typically diagnosed when the acquired impairment becomes severe enough to impact social or occupational functioning. Between no cognitive impairment (NCI) and dementia, there are many intermediate states. Predictive cognitive impairment can be useful for initiating treatment to prevent further brain damage. Several deep learning-based approaches have been proposed for the classification of Magnetic Resonance Imaging (MRI) to diagnose Alzheimer’s disease (AD) or dementia...

Research Article

Published: 12 Dec 2024

The Placement of Auer Rods as a Single Diagnostic Criterion for the Highest-Risk Category of Myelodysplastic Syndromes: A Single-Institution Study and Critical Analysis

Volume 2

Accurate determination of prognostic risk is critical for patients and treating clinicians. The French-American-British classification of myelodysplastic syndromes (MDS) described refractory anemia with excess blasts (RAEB) in transformation (RAEB-T), including two subsets with <20% bone marrow (BM) blasts, which were reclassified as RAEB-2, the highest-risk MDS category in the 2001 World Health Organization classification. Those diagnostic criteria have been retained until now with nomenclature changes from RAEB-2 to “MDS with..

Research Article

Published: 15 Nov 2024

Social Media and Artificial Intelligence for Sustainable Cities and Societies: A Water Quality Analysis Use-Case

Volume 1

Crowd-sourcing has been widely explored for monitoring and feedback on infrastructure and services, such as air and water quality analysis. However, the traditional methods of crowd-sourcing for feedback and analysis of water quality, such as offline and online surveys, have several limitations, such as the limited number of participants and low frequency due to the labor involved in conducting such surveys. Social media analytics could overcome these challenges by providing..