The concept of artificial intelligence (AI) has a lengthy history. It has become evident that achieving human-level intelligence is more complex than initially expected. Presently, there is a resurgence of interest in AI, driven by a substantial...
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...
Cross-institutional fraud detection faces a persistent structural problem: financial crime routinely spans multiple banks, credit unions, and Community Development Financial Institutions (CDFIs), yet fewer than one in eight eligible U.S. financial...
Artificial intelligence is the capability of computer systems to emulate and replicate human intelligence. Artificial intelligence has transformed the accuracy and efficacy of diagnostics and therapeutics across multiple medical disciplines. Artificial...
This systematic review examines data-driven GenAI and Go-To-Market (GTM) execution models utilized by high-growth startups and Fortune 500 companies, with the objective of identifying common strategies, critical differentiators, and performance outcomes. As...
Various sectors within the healthcare industry have employed artificial intelligence (AI). The convergence of artificial intelligence and dentistry is captivating! Artificial intelligence (AI) has the capacity to completely transform several facets of...
Cloud storage security in government agencies is critical to safeguarding national data from cyber threats, as the increasing reliance on cloud computing introduces new vulnerabilities that adversaries seek to exploit. Government agencies store vast amounts...
The present research assessed the in-vivo biological evaluation of root and leaf extracts of Berberis kunawurennsis (Royle) as an analgesic, tail-immersion, anti-inflammatory and anti-spasmodic agent. Crude extracts of B. kunawurensis root (BKRE) and leaf...
he interest in artificial intelligence (AI) has expanded inside radiology in the previous few years principally because of eminent triumphs of profound learning. With the advances brought by profound knowledge, AI can perceive and limit complex examples...
Block chain technology has revolutionized the way we think about secure and decentralized systems, yet its scalability challenges remain a significant barrier to widespread adoption. High transaction latency, limited throughput, and resource inefficiencies...
Cloud systems play a pivotal role in modern computing, demanding highly efficient and adaptable network topologies to meet the growing needs of scalability, resource utilization, and low latency. This paper explores the application of advanced graph...
Open-source software (OSS) has become a cornerstone of modern software development, providing flexibility, innovation, and cost savings. However, the security of open-source software presents unique challenges due to its collaborative nature and widespread...
The utilization of Artificial Intelligence (AI) has proliferated across several industries within healthcare. Healthcare organizations of all sizes, kinds, and specialties are increasingly interested in the evolution of artificial intelligence and its role...
Artificial intelligence (AI) refers to the utilization of computers and technology to emulate intelligent behavior and critical thinking akin to that of a person. In 1956, John McCarthy initially defined the term artificial intelligence as the science and...
The majority of machine learning applications in citizen science have focused on image classification, with algorithms trained to identify species or classify objects from photographs. However, many citizen science projects collect diverse types of data,...
Artificial Intelligence (AI) has the potential to greatly transform healthcare by enhancing efficiency, precision, and patient results in several medical fields. AI systems has the ability to consistently acquire knowledge from fresh data and feedback,...
Organizations must obtain insights into often fragmented and isolated data assets and eliminate data silos to properly leverage data as a strategic resource. Data catalogs are an increasingly preferred approach for achieving these objectives. Despite the...
Nanotechnology, one of the most growing fields of modern science, deals with the development particles at nano scale level ranging from 1 to 100 nm in size. For this purpose, many approaches have been carried out including physical and chemical approach but...
Data analytics in higher education offers distinct potential to analyze, comprehend, and model educational processes. As a result, the approaches and procedures supporting data analytics in higher education have resulted in distinct, highly correlated...
Curcuma longa, also known as turmeric, is a well-liked medicinal herb in Ayurvedic medicine, because of its possible health advantages which include its antibacterial and antifungal qualities. Several systemic disorders are cured with it, particularly in...
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...
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...
With the increasing prevalence of remote work, securing remote access has become a critical concern for businesses. Remote access allows employees to connect to corporate networks and systems from various locations, but it also introduces new security risks...
Introduction The Metascience (An International Multidisciplinary Research Journal) is a double-blind, peer-reviewed, open-access...
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