Towards light-weight deep learning based malware detection

Z Kan, H Wang, G Xu, Y Guo… - 2018 IEEE 42nd annual …, 2018 - ieeexplore.ieee.org
The explosive amount of malware continues threating the security of operating systems and
networks. Traditional malware detection approaches fail to meet the requirements of …

An investigation to detect banking malware network communication traffic using machine learning techniques

MA Kazi, S Woodhead, D Gan - Journal of Cybersecurity and Privacy, 2022 - mdpi.com
Banking malware are malicious programs that attempt to steal confidential information, such
as banking authentication credentials, from users. Zeus is one of the most widespread …

Heart Disease Prediction Using Artificial Intelligence Ensemble Network

S Nirmala, K Veena, B Indu… - 2022 IEEE 2nd Mysore …, 2022 - ieeexplore.ieee.org
Heart disease has climbed its way to the top of the list of the primary causes of death all over
the world. In the past, individuals also referred to heart disease as cardiovascular disease …

Machine Learning Based Skin Disease Analyzer with Image Processing

V Nivedita, K Subramaniam, M Ramya… - 2022 IEEE North …, 2022 - ieeexplore.ieee.org
People may acquire skin illnesses as a consequence of hereditary factors, the natural
ageing process, hormones, allergic responses, exposure to the sun or hazardous chemicals …

IoT based water management system with machine learning

T Tejas, U Yadav, V Krishnan, V Vishrutha… - AIP Conference …, 2024 - pubs.aip.org
This paper discusses a keen way to manage and distribute water from a water tank or
reservoir to consumers with minimal wastage. The aim of this paper is to discuss about the …

E-fitness promoting for yoga and exercise for healthy living

S Gupta, S Sumitkumar, S Srivastava, S Tyagi… - AIP Conference …, 2024 - pubs.aip.org
Web technology in particular, has radically altered the way of health care is historically
delivered. Web is the best way of delivering the information to the users and client. Web …

Fatigue detection for drivers using face object features based on aspect ratio of eyes and mouth

SB Suvanam, S Santhosh, GD Benal - AIP Conference Proceedings, 2024 - pubs.aip.org
Driver fatigue detection based on the face features that is mouth and eye where the mouth is
that amount of opening of the mouth and eye aspect ratio is the opening and closing of eye …

Radical sound valuation of fetal weight with the use of deep learning

K Keerthana, SB Suvanam, V Yellepeddi - AIP Conference …, 2024 - pubs.aip.org
It is a very complicated task to identify and decipher the standard output plane of the fetus in
the evaluation of the second trimester of 2D ultrasound, which requires a long preparation …

Smart automated parking system using RFID

S Sanketh, PR Reddy, A Akhileswar… - AIP Conference …, 2024 - pubs.aip.org
The developing urbanization joined by progressively clogged metropolitan spaces and
metropolitan automobiles tremendously developed its number, has brought about …

Cardio-Vascular Disease Prediction using Machine Learning Techniques

S Konda, NK Kar, P Pulicherla… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
The main goal of this study is to use Data Mining Method and Artificial Neural Network to
develop a system that can automatically and rapidly predict the risk of coronary heart …