[HTML][HTML] Modern computing: Vision and challenges
Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …
transformations, profoundly impacting society with transformational developments, such as …
Exploring the potential of AI-driven optimization in enhancing network performance and efficiency
The exponential growth of network complexity and data volume in modern digital
ecosystems has underscored the need for innovative approaches to optimize network …
ecosystems has underscored the need for innovative approaches to optimize network …
Predicting broadband network performance with ai-driven analysis
S Ramagundam - Journal of Research Administration, 2023 - journalra.org
This review article analyses the substantial influence of artificial intelligence (AI) in
forecasting the performance of broadband networks. The examination encompasses crucial …
forecasting the performance of broadband networks. The examination encompasses crucial …
Quantum Computing: Vision and Challenges
SS Gill, O Cetinkaya, S Marrone, EF Combarro… - arXiv preprint arXiv …, 2024 - arxiv.org
The recent development of quantum computing, which makes use of entanglement,
superposition, and other quantum fundamental concepts, has the ability to provide …
superposition, and other quantum fundamental concepts, has the ability to provide …
[HTML][HTML] Next generation edge computing: A roadmap to net zero emissions
Abstract Multi-access Edge Computing (MEC, formerly, Mobile Edge Computing) offers
users of Mobile Devices (MDs) such as smartphones advantages in computational task …
users of Mobile Devices (MDs) such as smartphones advantages in computational task …
[HTML][HTML] CloudAISim: A toolkit for modelling and simulation of modern applications in AI-driven cloud computing environments
There is a very significant knowledge gap between Artificial Intelligence (AI) and a multitude
of industries that exist in today's modern world. This is primarily attributable to the limited …
of industries that exist in today's modern world. This is primarily attributable to the limited …
A Survey on AI-Empowered Softwarized Industrial IoT Networks
The future generation of mobile networks envision Artificial Intelligence (AI) and the Internet
of Things (IoT) as key enabling technologies that will foster the emergence of sophisticated …
of Things (IoT) as key enabling technologies that will foster the emergence of sophisticated …
Classification and study of music genres with multimodal Spectro-Lyrical Embeddings for Music (SLEM)
The essence of music is inherently multi-modal–with audio and lyrics going hand in hand.
However, there is very less research done to study the intricacies of the multi-modal nature …
However, there is very less research done to study the intricacies of the multi-modal nature …
Optimizing multi-objective task scheduling in fog computing with GA-PSO algorithm for big data application
As the volume and velocity of Big Data continue to grow, traditional cloud computing
approaches struggle to meet the demands of real-time processing and low latency. Fog …
approaches struggle to meet the demands of real-time processing and low latency. Fog …
Blockchain and Reinforcement Neural Network for Trusted Cloud-Enabled IoT Network
The rapid integration of Internet of Things (IoT) services and applications across various
sectors is primarily driven by their ability to process real-time data and create intelligent …
sectors is primarily driven by their ability to process real-time data and create intelligent …