[PDF][PDF] Artificial intelligence and the future of web 3.0: Opportunities and challenges ahead
JP Bharadiya - American Journal of Computer Science and …, 2023 - researchgate.net
Artificial Intelligence (AI) has emerged as a key driver of innovation in the digital era, offering
new possibilities for the development of Web 3.0. Web 3.0 represents the next evolution of …
new possibilities for the development of Web 3.0. Web 3.0 represents the next evolution of …
[PDF][PDF] Integrative cybersecurity: merging zero trust, layered defense, and global standards for a resilient digital future
In the evolving landscape of cybersecurity, organizations are constantly seeking robust
frameworks to protect their assets from a myriad of threats. The Zero Trust Architecture (ZTA) …
frameworks to protect their assets from a myriad of threats. The Zero Trust Architecture (ZTA) …
[PDF][PDF] Machine learning and AI in business intelligence: Trends and opportunities
JP Bharadiya - International Journal of Computer (IJC), 2023 - researchgate.net
The integration of machine learning and artificial intelligence (AI) in business intelligence
has brought forth a plethora of trends and opportunities. These cutting-edge technologies …
has brought forth a plethora of trends and opportunities. These cutting-edge technologies …
[PDF][PDF] A comparative study of business intelligence and artificial intelligence with big data analytics
JP Bharadiya - American Journal of Artificial Intelligence, 2023 - researchgate.net
Business intelligence systems give important and competitive information to business
planners and decisionmakers by combining operational and historical data with analytical …
planners and decisionmakers by combining operational and historical data with analytical …
[PDF][PDF] A Comprehensive Study on Software-Defined Load Balancers: Architectural Flexibility & Application Service Delivery in On-Premises Ecosystems
T Muhammad - International Journal of Computer Science and …, 2022 - researchgate.net
The realm of load balancing has witnessed significant transformations, evolving from
traditional hardware-based solutions to the more dynamic software-defined load balancers …
traditional hardware-based solutions to the more dynamic software-defined load balancers …
[PDF][PDF] Overlay Network Technologies in SDN: Evaluating Performance and Scalability of VXLAN and GENEVE
T Muhammad - International Journal Of Computer Science And …, 2021 - researchgate.net
In the evolving landscape of Software-Defined Networking (SDN), overlay network
technologies have emerged as pivotal components in achieving network virtualization …
technologies have emerged as pivotal components in achieving network virtualization …
[PDF][PDF] Elevating Business Operations: The Transformative Power of Cloud Computing
The rapid advancement of technology has led to the emergence of cloud computing as a
gamechanger in the world of business operations. This research paper aims to explore the …
gamechanger in the world of business operations. This research paper aims to explore the …
[PDF][PDF] Revolutionizing Network Control: Exploring the Landscape of Software-Defined Networking (SDN)
T Muhammad - International Journal of Computer Science and …, 2019 - researchgate.net
The rapid evolution of networking technologies has ushered in the era of Software-Defined
Networking (SDN), a paradigm shift aiming to revolutionize traditional network management …
Networking (SDN), a paradigm shift aiming to revolutionize traditional network management …
Image-based air quality prediction using convolutional neural networks and machine learning
Air quality has become a major public concern due to the significant threat posed by air
pollution to human health, and rapid and efficient monitoring of air quality is crucial for …
pollution to human health, and rapid and efficient monitoring of air quality is crucial for …
A deep feature fusion of improved suspected keratoconus detection with deep learning
Detection of early clinical keratoconus (KCN) is a challenging task, even for expert
clinicians. In this study, we propose a deep learning (DL) model to address this challenge …
clinicians. In this study, we propose a deep learning (DL) model to address this challenge …