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Swarm intelligence in internet of medical things: A review
Continuous advancements of technologies such as machine-to-machine interactions and
big data analysis have led to the internet of things (IoT) making information sharing and …
big data analysis have led to the internet of things (IoT) making information sharing and …
Hybrid clouds arising from software as a service adoption: challenges, solutions, and future research directions
Information technology (IT) departments are increasingly challenged to replace legacy
applications with novel public cloud software as a service (SaaS) to innovate the …
applications with novel public cloud software as a service (SaaS) to innovate the …
Performance analysis of machine learning centered workload prediction models for cloud
The precise estimation of resource usage is a complex and challenging issue due to the
high variability and dimensionality of heterogeneous service types and dynamic workloads …
high variability and dimensionality of heterogeneous service types and dynamic workloads …
Dependency-aware microservice deployment for edge computing: A deep reinforcement learning approach with network representation
The popularity of microservices in industry has sparked much attention in the research
community. Despite significant progress in microservice deployment for resource-intensive …
community. Despite significant progress in microservice deployment for resource-intensive …
Estimation of tool–chip contact length using optimized machine learning in orthogonal cutting
Tool–chip contact length has a significant effect on the various characteristics of metal
cutting, including cutting pressures, chip formation, tool wear, tool life, and cutting …
cutting, including cutting pressures, chip formation, tool wear, tool life, and cutting …
A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19)
COVID-19 has had a detrimental impact on normal activities, public safety, and the global
financial system. To identify the presence of this disease within communities and to …
financial system. To identify the presence of this disease within communities and to …
A comprehensive study on torchvision pre-trained models for fine-grained inter-species classification
F Albardi, HMD Kabir, MMI Bhuiyan… - … on Systems, Man …, 2021 - ieeexplore.ieee.org
This study aims to explore different pre-trained models offered in the Torchvision package
which is available in the PyTorch library. And investigate their effectiveness on fine-grained …
which is available in the PyTorch library. And investigate their effectiveness on fine-grained …
A comprehensive review of cloud computing virtual machine consolidation
J Singh, NK Walia - IEEE Access, 2023 - ieeexplore.ieee.org
In the last decade, users have been able to access their applications, data, and services via
the cloud from any location with an internet connection. The scale of heterogeneous cloud …
the cloud from any location with an internet connection. The scale of heterogeneous cloud …
Autonomous convoying: A survey on current research and development
Convoying or platooning with a fleet of autonomous vehicles, which is denoted as
autonomous convoying in this paper, has attracted increasing attention from the research …
autonomous convoying in this paper, has attracted increasing attention from the research …
A comprehensive survey on edge data integrity verification: Fundamentals and future trends
Recent advances in edge computing (EC) have pushed cloud-based data caching services
to edge; however, such emerging edge storage comes with numerous challenging and …
to edge; however, such emerging edge storage comes with numerous challenging and …