AS Kale, V Pandya, F Di Troia, M Stamp - Journal of Computer Virology …, 2023 - Springer
Malware classification is an important and challenging problem in information security. Modern malware classification techniques rely on machine learning models that can be …
At this critical juncture in the world, maritime traffic and naval monitoring have become one of the hottest topics among governments to keep the marine environment safe for exporting …
M Akter, S Ansary, MAM Khan, D Kim - Sensors, 2023 - mdpi.com
Human activity recognition (HAR) performs a vital function in various fields, including healthcare, rehabilitation, elder care, and monitoring. Researchers are using mobile sensor …
RK Murthy, S Dhanraj, TN Manjunath… - … Journal of Health …, 2022 - researchgate.net
Human Activity Recognition (HAR) plays a massive role inside the everyday life of people due to its capability to investigate tremendous high-degree data approximately human …
Y Luo, Y Wang - IEEE Transactions on Signal Processing, 2020 - ieeexplore.ieee.org
Time-frequency analysis (TFA) plays an important role in various engineering and biomedical fields. For a non-stationary time series, a common practice is to divide data into …
AS Kale, F Di Troia, M Stamp - arXiv preprint arXiv:2103.02711, 2021 - arxiv.org
Malware classification is an important and challenging problem in information security. Modern malware classification techniques rely on machine learning models that can be …
La reconnaissance d'activités est un domaine de recherche qui vise à décrire, analyser, reconnaître, comprendre et suivre les activités et les mouvements de personnes, d'animaux …
In recent time frame, huge machine learning based practices are hastily utilize by the experts of diverse field that straightforwardly or indirectly aid them for improving quality of …
Demographic concerns pertaining to the ageing population have been recognised by the World Health Organisation (WHO) stating that “In 2019, the number of people aged 60 years …