A systematic literature review on vision based gesture recognition techniques

AS Al-Shamayleh, R Ahmad, MAM Abushariah… - Multimedia Tools and …, 2018 - Springer
Abstract Human Computer Interaction (HCI) technologies are rapidly evolving the way we
interact with computing devices and adapting to the constantly increasing demands of …

Malware classification with word2vec, hmm2vec, bert, and elmo

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 …

Abnormal Behaviour Detection by Using Machine Learning-Based Approaches in the Marine Environment: A Literature Survey

F Farahnakian, J Heikkonen… - … Conference on Electrical …, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] Human activity recognition using attention-mechanism-based deep learning feature combination

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 …

[PDF][PDF] A survey on human activity recognition using CNN and LSTM

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 …

A statistical time-frequency model for non-stationary time series analysis

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 …

Malware classification with word embedding features

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 …

Conception de systèmes de reconnaissance d'activités humaines

I Sarray - 2019 - theses.hal.science
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 …

[PDF][PDF] MACHINE LEARNING TECHNIQUES IN HEALTHCARE: A REVIEW

R Saxena, S Sharma - kalaharijournals.com
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 …

[PDF][PDF] An End-to-End Framework for the Optimisation of Human Activity Recognition

N Irvine - 2021 - pure.ulster.ac.uk
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 …