201 documents found, page 1 of 21

Unified Data Governance in Heterogeneous Database Environments: An API-Driven A...

Modern organizations increasingly rely on heterogeneous database environments that combine relational, document-oriented, and key-value storage systems to optimize performance for diverse application requirements. However, this technological diversity creates significant challenges for implementing consistent data governance policies, regulatory compliance, and access control across disparate systems. Tradition...

Performance Comparison of Python-Based Complex Event Processing Engines for IoT...

The proliferation of Internet of Things (IoT) devices has intensified the need for efficient real-time anomaly and intrusion detection, making the selection of an appropriate Complex Event Processing (CEP) engine a critical architectural decision for security-aware data pipelines. Python-based CEP frameworks offer compelling advantages through the seamless integration with data science and machine learning ecos...

A Practical Performance Benchmark of Post-Quantum Cryptography Across Heterogen...

The emergence of large-scale quantum computing presents an imminent threat to contemporary public-key cryptosystems, with quantum algorithms such as Shor’s algorithm capable of efficiently breaking RSA and elliptic curve cryptography (ECC). This vulnerability has catalyzed accelerated standardization efforts for post-quantum cryptography (PQC) by the U.S. National Institute of Standards and Technology (NIST) an...

Head-to-Head Evaluation of FDM and SLA in Additive Manufacturing: Performance, ...

This paper conducts a comprehensive experimental comparison of two widely used additive manufacturing (AM) processes, Fused Deposition Modeling (FDM) and Stereolithography (SLA), under standardized conditions using the same test geometries and protocols. FDM parts were printed with both Polylactic Acid (PLA) and Acryloni trile Butadiene Styrene (ABS) filaments, while SLA used a general-purpose photopolymer resi...

Performance and Scalability of Data Cleaning and Preprocessing Tools: A Benchma...

Data cleaning remains one of the most time-consuming and critical steps in modern data science, directly influencing the reliability and accuracy of downstream analytics. In this paper, we present a comprehensive evaluation of five widely used data cleaning tools—OpenRefine, Dedupe, Great Expectations, TidyData (PyJanitor), and a baseline Pandas pipeline—applied to large-scale, messy datasets spanning three dom...

Comprehensive Evaluation of Deepfake Detection Models: Accuracy, Generalization...

The rise of deepfakes—synthetic media generated using artificial intelli gence—threatens digital content authenticity, facilitating misinformation and manipu lation. However, deepfakes can also depict real or entirely fictitious individuals, leveraging state-of-the-art techniques such as generative adversarial networks (GANs) and emerging diffusion-based models. Existing detection methods face challenges with g...

Machine Learning Approaches for Predicting Maize Biomass Yield: Leveraging Feat...

The efficient prediction of corn biomass yield is critical for optimizing crop production and addressing global challenges in sustainable agriculture and renewable energy. This study employs advanced machine learning techniques, including Gradient Boosting Machines (GBMs), Random Forests (RFs), Support Vector Machines (SVMs), and Artificial Neural Networks (ANNs), integrated with comprehensive environmental, so...

Real-Time Gesture-Based Hand Landmark Detection for Optimized Mobile Photo Capt...

Gesture recognition technology has emerged as a transformative solution for natural and intuitive human–computer interaction (HCI), offering touch-free operation across diverse fields such as healthcare, gaming, and smart home systems. In mobile contexts, where hygiene, convenience, and the ability to operate under resource constraints are critical, hand gesture recognition provides a compelling alternative to ...

Encased by the Pancreas: An Unusual Cause of Gastric Outlet Obstruction.

Indocyanine Green–Guided Robotic Low Anterior Resection for Rectal Cancer: A St...

The treatment of locally advanced rectal adenocarcinoma is based on a multimodal approach, including total mesorectal excision1. Robotic surgery provides a three-dimensional visualization, a stable image, and greater precision in pelvic dissection, allowing better control over critical structures2. The use of indocyanine green fluorescence enables real-time assessment of anastomotic perfusion, enhancing anastom...