Explainable intelligence enabled smart healthcare for rural communities

S Chanda, R Kumar, AK Singh… - … artificial intelligence for …, 2023 - taylorfrancis.com
The Internet of Things (IoT) is based on intelligent health monitoring systems that could be a
new idea for India. Doctors and adequate and bare minimum medical facilities are out of …

An integrated and optimized fog computing enabled framework to minimize time complexity in smart grids

R Nag, AS Samantraj, S Mishra… - 2023 6th International …, 2023 - ieeexplore.ieee.org
A distributed computing paradigm known as “cloud computing” works as a connection
between IoT devices and cloud data centres. The environment system model in this work is …

Mitigating Malvertising Threats: An Exploration of Machine Learning Classification Algorithms for Effective Detection

A Kumari, I Sharma - … on Advancements in Smart, Secure and …, 2024 - ieeexplore.ieee.org
In today's fast-paced digital world, malicious advertising, also known as Malvertising, is
increasingly prevalent, endangering people's online privacy and safety. This is so because a …

A review of wearable devices for affective computing

VS Machhi, AM Shah - … on Advancements in Smart, Secure and …, 2024 - ieeexplore.ieee.org
Wearable technology is expanding rapidly in recent year. It is used in many applications in
various domains, including affective computing. Affective computing is all about …

Conducting a Data Protection Audit using Block chain

P Ahirrao, Y Borse, A Kulkarni - 2024 International Conference …, 2024 - ieeexplore.ieee.org
With the growing reliance on the internet, sharing personal data with large online companies
has become inevitable, often used by them for financial gains. Governments have …

Analyzing Extractive Text Summarization Techniques and Classification Algorithms: A Comparative Study

N Pandey, S Kumar, V Ranjan… - … on Advancements in …, 2024 - ieeexplore.ieee.org
The increasing volume of text data has made it difficult for individuals to keep up with the
information. Text summarization and classification are two important natural language …

AI-Driven Drug Discovery and Therapeutic Target Identification for Rare Genetic Diseases

T Suresh, S Kaliappan, HM Ali… - … on Advancements in …, 2024 - ieeexplore.ieee.org
This method for AI-driven drug discovery and therapeutic target selection for rare genetic
diseases is a cutting-edge and comprehensive strategy for addressing the challenges posed …

SONAR-Based Sound Waves' Utilization for Rocks' and Mines' Detection Using Logistic Regression

A Mitra, A Chakraborty, S Dutta, Y Anand… - … Conference on Data …, 2023 - Springer
SONAR, which is called sound navigation and ranging, uses sound waves to identify things
underwater. It is usually utilized for two things which include rock detection and mine …

Comparitive Analysis of Machine Learning Models for Prediction of Fetal Health

R Mohanty, SK Pani, S Nayak, C Beura… - … on Advancements in …, 2024 - ieeexplore.ieee.org
The World Health Organization estimates that about 6.3 million prenatal deaths occur
annually across the globe. However, with timely and accurate diagnosis of certain …

Machine Learning and Data Mining Approaches for Infectious Disease Surveillance and Outbreak Management in Healthcare

L Natrayan, MDR Kamal… - … on Advancements in …, 2024 - ieeexplore.ieee.org
Infectious diseases pose significant threats to public health, making their surveillance and
outbreak management paramount. Leveraging the power of machine learning and data …