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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 …
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 …
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
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 …
increasingly prevalent, endangering people's online privacy and safety. This is so because a …
A review of wearable devices for affective computing
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 …
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 …
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 …
information. Text summarization and classification are two important natural language …
AI-Driven Drug Discovery and Therapeutic Target Identification for Rare Genetic Diseases
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 …
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 …
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 …
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 …
outbreak management paramount. Leveraging the power of machine learning and data …