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Enhanced resource allocation in mobile edge computing using reinforcement learning based MOACO algorithm for IIOT
(Computer Communications, 2020-02-01)
The Mobile networks deploy and offers a multiaspective approach for various resource allocation paradigms and the service based options in the computing segments with its implication in the Industrial Internet of Things ...
Finding an accurate early forecasting model from small dataset: A case of 2019-nCoV novel coronavirus outbreak
(International Journal of Interactive Multimedia and Artificial Intelligence, 2020-03)
Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and remedic actions. These measures include ...
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction
(Applied Soft Computing Journal, 2020-08)
In the advent of the novel coronavirus epidemic since December 2019, governments and authorities have been struggling to make critical decisions under high uncertainty at their best efforts. In computer science, this ...
Inadequate dataset learning for major depressive disorder MRI semantic classification
(IET Image Processing, 2022)
Predicting patients with major depression (MDD) is currently a difficult task. Magnetic resonance imaging (MRI) data analysis may provide insight into individual patient responses, allowing for more customized treatment ...
Economic data analytic AI technique on IoT edge devices for health monitoring of agriculture machines
(Applied Sciences, 2020-07)
In the era of Internet of things (IoT), network Connection of an enormous number of agriculture machines and service centers is an expectation. However, it will be with a generation of massive volume of data, thus overwhelming ...
Simplified inverse filter tracked affective acoustic signals classification incorporating deep convolutional neural networks
(Applied Soft Computing, 2020-12)
Facial expressions, verbal, behavioral, such as limb movements, and physiological features are vital ways for affective human interactions. Researchers have given machines the ability to recognize affective communication ...
PCHET: An efficient programmable cellular automata based hybrid encryption technique for multi-chat client-server applications
(Journal of Information Security and Applications, 2020-12)
This paper demonstrates an efficient programmable Cellular Automata (CA) based hybrid encryption technique (PCHET) for chatting applications involving multiple clients who can chat simultaneously with each other. The ...
Emotion classification on eye-tracking and electroencephalograph fused signals employing deep gradient neural networks
(Elsevier Ltd, 2021)
Emotion produces complex neural processes and physiological changes under appropriate event stimulation. Physiological signals have the advantage of better reflecting a person's actual emotional state than facial expressions ...
A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak
(Applied intelligence, 2021)
Measuring the spread of disease during a pandemic is critically important for accurately and promptly applying various lockdown strategies, so to prevent the collapse of the medical system. The latest pandemic of COVID-19 ...
Energy enhancement using Multiobjective Ant colony optimization with Double Q learning algorithm for IoT based cognitive radio networks
(Computer Communications, 2020-03)
Internet of Things (IoT) is the efficient wireless communication in the modern era, energy efficiency is the primary issue that focuses mainly on the Cognitive network. Most of the CR networks are focusing on battery ...
