As organizations increasingly rely on third-party vendors for various services and products, the need for robust security measures to safeguard sensitive data has become paramount. This study delves into the application of Generative Pre-trained Transformers (GPT) in enhancing third-party vendor security. GPT, a state-of-the-art natural language…[Read more]

Like several countries around the world, the Nigerian government, after years of stale debates and regulatory inactivity, took the issue of data protection and privacy very seriously in 2019 through the issuance of the Nigerian Data Protection Regulation (NDPR) 2019 by the National Information Technology Development Agency (NITDA). The NDPR laid…[Read more]

The structure, variety and quantity of some current web content is limited in efficient exploration due to difficulty in searching and locating a specific content. A case is the Niger Delta University where there is no unified online structure holding relevant university data. This is because there is no common data model to manage the data for…[Read more]

This study examined use of data-driven decision making in principal leadership and school improvement initiatives in Delta State mission schools. Three research questions gave the study a direction. The study was a descriptive survey with an ex-post facto design. The population consists of 102 principals and vice-principals, in Delta State Mission…[Read more]

This research paper explores the potential groundbreaking impact of Artificial Intelligence (AI) on the migration of applications from on-premises infrastructure to public cloud platforms. The utilization of predictive migration planning and automated data transfer highlights the potential of artificial intelligence (AI) in enhancing the…[Read more]

There is an urgent need to address data literacy in undergraduate library instruction. In Africa and especially in Nigeria, the need for a data information literacy program (DIL) to prepare students to engage in an electronic research environment is also articulated by scholars in recent literature. However, the question as to whether data…[Read more]

The purpose of this paper is to investigate and identify the sets of competencies that are commensurate with employability requirements. The study follows a quantitative, deductive, and positivist approach. A sample of 62 Lebanese students majoring in management information technology and management information systems (MIT/MIS) was selected…[Read more]

This research aims to identify the competence and performance of agricultural extension workers to improve the performance of pig farmers and analyze the factors that affect the competence and performance of agricultural extension workers in Timor-Leste. The research started from January to October 2019 in seven districts in Timor-Leste. Total…[Read more]

The spread of coronavirus disease (COVID-19/SARS-CoV-2) in Nigeria from index to community cases is becoming alarming that what the future holds should be brought to bear. An analytical study and time prediction model have been conducted on the epidemiological spread of coronavirus (COVID-19/SARS-CoV-2) with data collected from records of selected…[Read more]

Coronavirus (COVID-19) is a highly infectious disease which has posed serious threats to global health. This viral disease was discovered in late December 2019, in Wuhan, China. Infection rates due to the pandemic amounts to over 1 million globally while death rate is over 80,000. The United States, Italy and Spain are epicenters of the disease…[Read more]

Dyspnea is frequently complained for several weeks in Long-COVID, still being its underlying pathophysiology poorly investigated in the clinical setting. Aim: to investigate the lung functional pattern of Long-COVID patients and healthy controls (HC). Non-smokers aged ≥18years, discharged after COVID pneumonia were investigated, were classified a…[Read more]

In recent times, during the SARS-CoV-2 pandemic, public health experts have slated testing, tracking infected people, as well as tracing their contacts as an efficient method to reduce the viral spread. Numerous diagnostic approaches are reported for detecting the coronavirus in public health, clinical, and research laboratories. Most tests detect…[Read more]

In the era of pervasive digital transformation, organizations are amassing vast amounts of data from diverse sources, creating a potential goldmine of insights. However, the challenge lies not only in the accumulation of data but in breaking down the silos that often hinder its effective utilization. This research paper delves into the critical…[Read more]

The era of Big Data has ushered in a paradigm shift, offering unprecedented opportunities to extract valuable insights from vast and diverse datasets. This research paper delves into the dynamic landscape of Big Data analytics, aiming to uncover its transformative power across various domains. We explore the methodologies, tools, and techniques…[Read more]

The era of big data has revolutionized the way organizations collect, store, and analyze data. With the exponential growth of data volumes, traditional disk-based storage and query processing methods have become increasingly inefficient. In-memory query processing has emerged as a powerful solution to address the performance challenges associated…[Read more]

In the era of Big Data, the volume, velocity, and variety of data have challenged traditional relational database systems. NoSQL databases have emerged as a compelling alternative, designed to handle massive datasets and offer flexible data modeling options. This paper provides a comparative analysis of NoSQL databases in the context of Big Data…[Read more]

In the era of Big Data, where vast and diverse datasets abound, organizations grapple with the challenge of piecing together actionable insights for informed and strategic decision-making. This research paper, titled “The Big Data Mosaic,” endeavors to explore the dynamic landscape of Big Data analytics, focusing on the strategies and…[Read more]

“The Information Odyssey: Charting a Course through Big Data Seas” is a comprehensive survey that navigates the expansive seas of big data, offering insights into the challenges, solutions, and future prospects that define this transformative landscape. The research serves as a guide for organizations and researchers seeking to navigate the…[Read more]

The increasing availability of large-scale geospatial data has created opportunities and challenges in the field of spatial analytics. This abstract provides an overview of the key concepts and challenges in geospatial query processing for big spatial data. Geospatial data, which includes location-based information from various sources such as GPS…[Read more]

“Transformative Vistas” delves into the profound impact of big data on societal, economic, and technological advancements in the 21st century. This research explores the ways in which big data serves as a catalyst for transformative change, shaping the contours of our world in unprecedented ways. The study examines the societal implications of big…[Read more]