Patient monitoring by abnormal human activity recognition based on CNN architecture

MA Gul, MH Yousaf, S Nawaz, Z Ur Rehman, HW Kim - Electronics, 2020 - mdpi.com
Human action recognition has emerged as a challenging research domain for video
understanding and analysis. Subsequently, extensive research has been conducted to …

A Robust and Secure Watermarking Approach Based on Hermite Transform and SVD-DCT

SL Gomez-Coronel, E Moya-Albor, J Brieva… - Applied Sciences, 2023 - mdpi.com
Currently, algorithms to embed watermarks into digital images are increasing exponentially,
for example in image copyright protection. However, when a watermarking algorithm is …

Experimental validation of inheritance metrics' impact on software fault prediction

SR Aziz, T Khan, A Nadeem - IEEE Access, 2019 - ieeexplore.ieee.org
Software faults can cause trivial annoyance to catastrophic failures. Recent work in software
fault prediction (SFP) advocates the need for predicting faults before deployment to aid …

An efficient patient activity recognition using LSTM network and high-fidelity body pose tracking

TN Doan - … Journal of Advanced Computer Science and …, 2022 - search.proquest.com
The need for healthcare services is growing, particularly in light of the COVID-19 epidemic's
convoluted trajectory. This causes overcrowding in medical facilities, making it difficult to …

Security concerns of fog computing in field of healthcare using blockchain: A review

C Awasthi, M Nawal, PK Mishra - … International Conference on …, 2021 - ieeexplore.ieee.org
Fog Computing generally known as fogging uses IoT devices for computation and storage of
data using virtualization. Processing of captured data is done locally instead of doing the …

Efficacy of inheritance aspect in software fault prediction—a survey paper

SR Aziz, TA Khan, A Nadeem - IEEE Access, 2020 - ieeexplore.ieee.org
Software fault prediction (SFP) is a research area that helps development and testing
process deliver software of good quality. Software metrics are of various types and are used …

A Systematic Study on Machine Learning Techniques for Predicting Software Faults

TS Kumar, B Booba - 2021 IEEE Mysore Sub Section …, 2021 - ieeexplore.ieee.org
Fault tolerance and prediction are some of the interesting quality assurance activities of
software engineering. Fault prediction algorithms assist the project manager in identifying …

[PDF][PDF] Document length variation in the vector space clustering of news in arabic: A comparison of methods

A Omar, WI Hamouda - International Journal of Advanced …, 2020 - pdfs.semanticscholar.org
This article is concerned with addressing the effect of document length variation on
measuring the semantic similarity in the text clustering of news in Arabic. Despite the …

[PDF][PDF] An Integrated Approach of Ant Colony Optimization (ACO), Machine Learning (ML), and Fuzzy Logic for Revolutionizing Inventory Management in Modern …

S Swathi, K Kalaiarasi - Tuijin Jishu/Journal of Propulsion … - cauverycollege.ac.in
Objectives: This article presents a groundbreaking approach aimed at addressing the
limitations of conventional inventory management practices in contemporary supply chains …

[PDF][PDF] Obfuskace zdrojového kódu

O Mach - is.muni.cz
Bakalárska práca sa venuje obfuskácií zdrojového kódu. Súčasťou práce je popis a
priblíženie reverzného inžinierstva v rámci informatiky a iných odvetví. Spomína sa …