Deep learning for depression detection from textual data

A Amanat, M Rizwan, AR Javed, M Abdelhaq… - Electronics, 2022 - mdpi.com
Depression is a prevalent sickness, spreading worldwide with potentially serious
implications. Timely recognition of emotional responses plays a pivotal function at present …

Blockchain-based AI Methods for Managing Industrial IoT: Recent Developments, Integration Challenges and Opportunities

A Rahman, D Kundu, T Debnath, M Rahman… - arXiv preprint arXiv …, 2024 - arxiv.org
Currently, Blockchain (BC), Artificial Intelligence (AI), and smart Industrial Internet of Things
(IIoT) are not only leading promising technologies in the world, but also these technologies …

[PDF][PDF] The application of machine learning to the prediction of heart attack.

R Regin, SS Rajest, T Shynu… - International Journal of …, 2023 - researchgate.net
Heart illnesses are among the most significant contributors to mortality in the world in the
modern era. Heart attacks are responsible for the death of one person every 33 seconds …

Federated Learning Approach for Collaborative and Secure Smart Healthcare Applications

QV Khanh, A Chehri, AD Van… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Across all periods of human history, the importance attributed to health has remained a
fundamental and significant facet. This statement holds greater validity within the present …

[PDF][PDF] OTP As a Service in the Cloud Allows for Authentication of Multiple Services

T Shynu, SS Rajest, R Regin - International Journal on Orange …, 2023 - researchgate.net
Annotation: Users no longer trust traditional password-based authentication methods since
so many online services now interact with one another. Credentials obtained online are …

Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning

GM Nagamani, CK Kumar - Heliyon, 2024 - cell.com
Real-time monitoring and anomaly detection are essential in healthcare to ensure safe
conditions for patients and maintain the integrity of medical data samples. The majority of …

Predicting the settlement of geogrid-reinforced soil foundations in railway track using cuttlefish algorithm

MA Balasubramani… - … Journal of Intelligent …, 2023 - inderscienceonline.com
Geogrid-reinforced soil foundations have lately become vital to consider the possibilities of
recycling and reusing these materials after years of employing geosynthetics in developing …

Machine Learning Based Mammogram Classification for Breast Cancer Diagnosis Using Neural Networks

R Akashraj, A Muthukumaravel - … Asian Journal of …, 2022 - cajmns.centralasianstudies.org
Among females, breast cancer is high as a major killer. Breast cancer is easily diagnosed
when anomalies are spotted in their earliest stages. Accurately diagnosing breast cancer …

[PDF][PDF] Sound Waves Entering the Ear Using MP3 Decibel Level Optimizer

CR Rathish, R Regin, SS Rajest - 2022 - researchgate.net
Annotation: The MP3 Decibel Level Optimizer is a project that was developed to optimise the
loudness of an audio clip by resetting it to its ideal level. This is accomplished by adjusting …

[PDF][PDF] Classification of Sarcastic and Non-Sarcastic Tweets Using Machine Learning

EJ Selcia, V Dhivya - context, 2022 - academia.edu
When someone is being sarcastic, they are expressing their negative emotions through the
use of positive or exaggerated positive language. A person's tone of voice and body …