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Menampilkan 1–5 dari 5 artikel
Optimization Of Big Data Processing Using Distributed Computing In Cloud Environments
International Journal of Computer Technology and Science
Vol 1
, No 2
(2024)
The growth of big data has driven the need for efficient data processing methods, especially in cloud computing environments. This study evaluates distributed computing frameworks like Apache Hadoop and Apache Spark for optimizing big data processing. By analyzing different configurations, we demonstrate how distributed systems can significantly reduce processing time and improve resource utilization, making them ideal for handling complex datasets in cloud environments.
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Leveraging Predictive Analytics to Enhance Supply Chain and Logistics Efficiency: Evidence from Indonesia National E-commerce
International Journal of Management and Digital Sciences
Vol 1
, No 2
(2024)
This study explores the integration of predictive analytics into supply chain management within national e-commerce enterprises. Predictive analytics, which utilizes historical data combined with machine learning algorithms, regression analysis, and time series forecasting, has shown significant improvements in operational efficiency. The study focuses on four key areas: demand forecasting, inventory management, transportation optimization, and customer satisfaction. By predicting demand more ac...
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Mental Health and its Relationship With Social Determinants Of Health Among Immigrant Populations
International Journal of Public Health
Vol 1
, No 1
(2024)
This article explores the relationship between mental health outcomes and social determinants of health among immigrant populations. By analyzing survey data, the research identifies key factors such as socioeconomic status, access to healthcare, and social support that influence mental health. The findings suggest that addressing social determinants is essential for improving mental health outcomes and providing effective support services for immigrants.
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Machine Learning and Cryptanalysis: An In-Depth Exploration of Current Practices and Future Potential
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
The rapidly evolving landscape of cryptanalysis necessitates an urgent and detailed exploration of the high-degree non-linear functions that govern the relationships between plaintext, key, and encrypted text. Historically, the complexity of these functions has posed formidable challenges to cryptanalysis. However, the advent of deep learning, supported by advanced computational resources, has revolutionized the potential for analyzing encrypted data in its raw form. This is a crucial developmen...
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The Impact of Social Support on Mental Health Outcomes in Aging Populations
International Journal of Health and Social Behavior
Vol 1
, No 1
(2024)
This study explores the role of social support in shaping mental health outcomes among aging populations. Through a survey of older adults, the research examines how family, peer, and community support influence depression, anxiety, and life satisfaction. The findings suggest that strong social networks significantly improve mental health outcomes, emphasizing the importance of social support in promoting well-being in older adults.
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