A novel technique for accelerating live migration in cloud computing
A Gupta, S Namasudra - Automated Software Engineering, 2022 - Springer
Currently, cloud computing is being used in many scientific areas like geoscience, DNA
sequencing, healthcare, and many more. In a cloud computing environment, a Virtual …
sequencing, healthcare, and many more. In a cloud computing environment, a Virtual …
Experience replay-based deep reinforcement learning for dialogue management optimisation
Dialogue policy is a crucial component in task-oriented Spoken Dialogue Systems (SDSs).
As a decision function, it takes the current dialogue state as input and generates appropriate …
As a decision function, it takes the current dialogue state as input and generates appropriate …
Single-objective particle swarm optimization-based chaotic image encryption scheme
J Wang, X Song, AAA El-Latif - Electronics, 2022 - mdpi.com
High security has always been the ultimate goal of image encryption, and the closer the
ciphertext image is to the true random number, the higher the security. Aiming at popular …
ciphertext image is to the true random number, the higher the security. Aiming at popular …
Blockchain-based mutual authentication protocol without CA
Y Li, M Xu, G Xu - The Journal of Supercomputing, 2022 - Springer
Nowadays, most of the federation chain identity authentication adopts the certificate
authentication of CA (Certification Authority) under PKI (Public Key Infrastructure) system …
authentication of CA (Certification Authority) under PKI (Public Key Infrastructure) system …
A hybrid optimization-tuned deep convolutional neural network for bare skinned image classification in websites
With the advent of the Internet, social media, and mobile technologies, pornographic images
have been broadly disseminated and caused great destruction to the social stability and the …
have been broadly disseminated and caused great destruction to the social stability and the …
Reversible data hiding based on histogram and prediction error for sharing secret data
With the advancement of communication technology, a large number of data are constantly
transmitted through the internet for various purposes, which are prone to be illegally …
transmitted through the internet for various purposes, which are prone to be illegally …
A secure federated learning approach to smart microgrid stability prediction
This paper addresses the challenges posed by the proliferation of Internet-of-Things (IoT)
based smart grids in modern power systems, which can threaten the stability and security of …
based smart grids in modern power systems, which can threaten the stability and security of …
An efficient chaotic MHT-PUF-based IoT device authentication with QPBFT for smart grid infrastructure
MP Kumar, N Nalini - Electrical Engineering, 2024 - Springer
Abstract Internet of Things (IoT)-based smart grid employs IoT smart devices which gather
private data about electricity from consumers and distribute data to service providers via an …
private data about electricity from consumers and distribute data to service providers via an …
Research on smart contracts for Omnipresent AI in commercial health insurance
TC Hsiao, TL Chen, SC Chang… - Enterprise Information …, 2024 - Taylor & Francis
This research explores how integrating Omnipresent AI and smart contracts enhances the
efficiency of medical insurance claims in commercial health insurance. AI enables real-time …
efficiency of medical insurance claims in commercial health insurance. AI enables real-time …
Cardian: A context aware cybersecurity system for real time diagnostic intrusion detection using a probabilistic approach with bayesian network
F Pascale, EA Adinolfi, M Avagliano… - … on System Reliability …, 2022 - ieeexplore.ieee.org
Smart Mobility is a concept for achieving sustainable city development. The term
encompasses a series of elements: technology, mobility infrastructures (parking, charging …
encompasses a series of elements: technology, mobility infrastructures (parking, charging …