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.
AI in Diabetic Retinopathy: A Systematic Review
Artificial intelligence (AI) has emerged as a transformative tool in the early detection and management of diabetic retinopathy (DR), a leading cause of vision loss worldwide.
Cesarean Outcomes and Anesthesia: A Statistical Perspective
This study provides a statistical evaluation of how different anesthesia methods—primarily general and regional anesthesia—impact various clinical parameters, including maternal blood pressure, intraoperative blood loss, postoperative recovery time, and neonatal Apgar scores.
Threat Mitigation in 5G Network Architecture
The advanced capabilities of 5G—such as ultra-low latency, massive device connectivity, and network slicing—introduce new vulnerabilities and broaden the attack surface.
SQL Performance Tuning Through Execution Plans
Effective SQL query optimization is crucial for ensuring high-performance database applications. This process involves analyzing execution plans to understand how queries are processed by the database engine.
Innovation in Construction via Human-AI Integration
As projects grow more complex and demands for efficiency, safety, and innovation increase, human-AI collaboration is emerging as a powerful approach to meet these challenges.
Banking Disaster Recovery Optimization via AWS
AWS tools such as Amazon S3, EC2, and AWS Backup enable real-time replication, data durability, and efficient resource provisioning, ensuring resilience against outages and cyber threats.
Data-Centric AI for Smarter Models
Data-centric AI emphasizes the importance of curating, cleaning, and enriching datasets to enhance model performance. Rather than solely fine-tuning algorithms, this approach recognizes that well-structured, diverse, and accurate data can significantly improve outcomes.