Mobile cloud computing and sustainable development: Opportunities, challenges, and future directions
The number of smartphone users has increased from 3.6 billion in 2016 to 6.25 billion by
2021, which shows that mobile phone usage has increased dramatically over the past few …
2021, which shows that mobile phone usage has increased dramatically over the past few …
Deep learning in robotics for strengthening industry 4.0.: opportunities, challenges and future directions
The twenty-first century is undergoing a fundamental transition in the way things are created
and services are provided. The digitalization of services has resulted in a compelling, major …
and services are provided. The digitalization of services has resulted in a compelling, major …
An efficient hardware supported and parallelization architecture for intelligent systems to overcome speculative overheads
In the last few decades, technology advancements have paved the way for the creation of
intelligent and autonomous systems that utilize complex calculations which are both time …
intelligent and autonomous systems that utilize complex calculations which are both time …
Explainable context-aware IoT framework using human digital twin for healthcare
Health, being a vital aspect of a fulfilling life, has experienced advancements through
improved medical services in alignment with Sustainable Development Goal 3 (SDG 3) …
improved medical services in alignment with Sustainable Development Goal 3 (SDG 3) …
Efficient loop unrolling factor prediction algorithm using machine learning models
Loop unrolling is one of the prominent loop transformation techniques. It is used to increase
speed by replicating the loop body and decreasing branches. Loop unrolling is based on the …
speed by replicating the loop body and decreasing branches. Loop unrolling is based on the …
A novel hybrid model integrating MFCC and acoustic parameters for voice disorder detection
Voice is an essential component of human communication, serving as a fundamental
medium for expressing thoughts, emotions, and ideas. Disruptions in vocal fold vibratory …
medium for expressing thoughts, emotions, and ideas. Disruptions in vocal fold vibratory …
SDN-Aided edge computing-enabled AI for IoT and smart cities
In today's internet of things (IoT), a vast amount of data is produced by numerous connected
devices. Previously, the data produced was uploaded to thee cloud for communicating with …
devices. Previously, the data produced was uploaded to thee cloud for communicating with …
[PDF][PDF] Exploring convolutional neural network in computer vision-based image classification
AI consists of a large number of domains, but Machine Learning is the most prominent one.
Deep learning, a subset of machine learning, is now overtaking all the various prediction …
Deep learning, a subset of machine learning, is now overtaking all the various prediction …
A Novel Deep Federated Learning-Based Model to Enhance Privacy in Critical Infrastructure Systems
Deep learning (DL) can provide critical infrastructure operators with valuable insights and
predictive capabilities to help them make more informed decisions, improving system's …
predictive capabilities to help them make more informed decisions, improving system's …
[PDF][PDF] Cyber Security Model to Secure Data Transmission using Cloud Cryptography
Cloud cryptography is cryptography that is done on a cloud-based system. This enables
encryption services to be provided as software, in an accessible and cost-effective manner …
encryption services to be provided as software, in an accessible and cost-effective manner …