Big data science has and is rapidly growing in the industries and is known to help in data analysis and forecasting. But the growth of data sharing in organizations creates many privacy problems especially in distributed environments. Discussing privacy...
Cloud computing has moved from a peripheral IT decision to the default infrastructure assumption for financial institutions: 91% of financial-services firms globally have embarked on their cloud journey, up from just 37% in 2020, with North America leading...
Due to the overwhelming number of solutions for Big Data processing during the last few years, distributed data engineering frameworks have become one of the most effective tools for real-time analyses and decision-making in numerous domains. However, these...
The explosive growth of social networks has led to the generation of vast, complex datasets, necessitating advanced methods for real-time analysis. Graph-based algorithms provide a natural framework for representing and analyzing social networks, with nodes...
Multimorbidity denotes the simultaneous presence of two or more chronic illnesses inside an individual. Consequently, individuals with multimorbidity possess diverse and specific treatment requirements. In reality, fulfilling these objectives is challenging...
Recent breakthroughs in artificial intelligence have achieved success in several therapeutic activities due to the development and application of big data, supercomputing, sensor networks, brain science, and other technologies. Nonetheless, no initiatives...
Introduction The Metascience (An International Multidisciplinary Research Journal) is a double-blind, peer-reviewed, open-access...
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