APMWMM: Approach to Probe Malware on Windows Machine using Machine Learning
P Tumuluru, LR Burra, MVV Reddy… - … on Applied Artificial …, 2022 - ieeexplore.ieee.org
The popularity of Windows gadgets is growing as well and are more defenseless to malware
attacks. This venture proposes a modern imaging strategy to identify malware viably by …
attacks. This venture proposes a modern imaging strategy to identify malware viably by …
Influence of the Blended Learning Method on Student Achievement in Mathematics Lessons
BI Sappaile, D Mayadiana, R Lengam… - Journal Emerging …, 2024 - journal.ypidathu.or.id
Background. The characteristics and achievements of each student are different. This is
influenced by the methods, interests, talents, media, sources, environment, and even …
influenced by the methods, interests, talents, media, sources, environment, and even …
Advancements in Depression Severity Prediction: A Multi-Modal Machine Learning Approach Integrating MCQs and Audio Data
SP Pimpalkar, AA Chavan, SV Gawali… - … on Advances in …, 2024 - ieeexplore.ieee.org
This research presents a machine-learning frame-work for predicting depression severity by
leveraging Multiple-Choice Questions (MCQs) and transcribed audio data. Two distinct data …
leveraging Multiple-Choice Questions (MCQs) and transcribed audio data. Two distinct data …
Mental Health Harmony: Insights from the Machine Learning Frontier
P Nithiyasree, K Subramani, S Soorya… - … and Systems for …, 2024 - ieeexplore.ieee.org
Detecting mental health problems at the earliest can help professionals provide correct
treatment and increase the value of patients. One of the most prevalent types of impairment …
treatment and increase the value of patients. One of the most prevalent types of impairment …
Mental health prediction using machine learning techniques and comparison with existing works
R Kothari, A Kanchan, M Kanchana - AIP Conference Proceedings, 2024 - pubs.aip.org
Due to constantly developing times, people nowadays have taken up more than one job or
work schedule. They work multiple hours a day and as a result, their mental health has taken …
work schedule. They work multiple hours a day and as a result, their mental health has taken …
Personalized Mental Health Analysis Using Artificial Intelligence Approach
S Mathin, DS Chandra, AR Sunkireddy… - … on Advances in …, 2024 - ieeexplore.ieee.org
With the help of artificial intelligence in personalized mental health, it enhances the quality
and accessibility of mental health support. Mental health issues continue to be a global …
and accessibility of mental health support. Mental health issues continue to be a global …
E-Adoption of Emerging Technology in the Health Sector During COVID-19
In the 21st century, COVID-19 made a profound impact on the world. This pandemic had a
detrimental impact worldwide, causing massive economic damage and enormous mortality …
detrimental impact worldwide, causing massive economic damage and enormous mortality …
Mental Health Prediction Using Artificial Intelligence
Abstract Mental Health Disorders have become a significant public health concern
worldwide, necessitating accurate and timely diagnostic methods. This study aims to predict …
worldwide, necessitating accurate and timely diagnostic methods. This study aims to predict …