The automotive industry is undergoing rapid digital transformation, generating vast amounts of data from sensors, manufacturing systems, connected vehicles, and customer interactions.
Meta-Analysis of Myocardial Infarction Complications
This meta-analysis synthesizes data from recent clinical studies to provide a comprehensive overview of common and emerging complications following MI, including arrhythmias, heart failure, cardiogenic shock, and mechanical defects.
Analyzing Political Dystopias Through a Postcolonial Lens
Political dystopia, as a literary and cultural narrative, offers a powerful medium for postcolonial critique by highlighting themes of oppression, surveillance, resistance, and identity.
Customer Trust in AI: The Influence of Explainable AI
Explainable Artificial Intelligence (XAI) has emerged as a critical component in the development and adoption of AI-driven products, particularly in enhancing user trust and acceptance.
Digitizing the Food and Beverage Industry
Innovations such as automation, artificial intelligence, the Internet of Things (IoT), and data analytics are streamlining operations, enhancing product quality, and improving customer experiences.
Crop Disease Detection in Golden Nutri Cereals
This study focuses on the detection and classification of diseases in Golden Nutri cereal crops using image-based techniques. By applying segmentation methods to phytopathological images, the system accurately identifies and categorizes crop diseases, enabling timely and targeted crop protection.
Classifying Code Comments with LLMs on the Cloud
With the advent of large language models (LLMs) and deep learning, it has become possible to analyze and categorize code comments with greater accuracy and contextual awareness.
Strengthening Banking Recovery with AWS Cloud
Strengthening disaster recovery in the banking sector has become a critical priority as financial institutions face growing risks from cyber threats, system outages, and natural disasters.
Diagnostic Accuracy of AI in Retinopathy Screening
Early detection and timely intervention are critical to preventing irreversible visual impairment. In recent years, artificial intelligence (AI) has emerged as a promising tool for automating and enhancing the accuracy of DR screening.
Design of an Ergonomic Tablet Drawing Support
This project focuses on the design and development of an ergonomic support device aimed at enhancing comfort, posture, and efficiency for artists, students, and professionals who engage in tablet-based tasks.