[HTML][HTML] AI for science: predicting infectious diseases
The global health landscape has been persistently challenged by the emergence and re-
emergence of infectious diseases. Traditional epidemiological models, rooted in the early …
emergence of infectious diseases. Traditional epidemiological models, rooted in the early …
The Future of Edge Computing with Blockchain Technology: Possibility of Threats, Opportunities, and Challenges
In today's world, people need tremendous improvement in each aspect of life and they saw
so many changes that literally make their life much more simplistic. People need to access …
so many changes that literally make their life much more simplistic. People need to access …
[PDF][PDF] Privacy: History, statistics, policy, laws, preservation and threat analysis.
The world has been on a constant evolution with rapid advancements in the field of
technology and social media platforms which encourages mundane life to interact and …
technology and social media platforms which encourages mundane life to interact and …
Traffic prediction using machine learning
HR Deekshetha, AV Shreyas Madhav… - … Computing and Mobile …, 2022 - Springer
The paper deals with traffic prediction that can be done in intelligent transportation systems
which involve the prediction between the previous year's dataset and the recent year's data …
which involve the prediction between the previous year's dataset and the recent year's data …
Deployment of Machine Learning based internet of things networks for Tele-medical and remote healthcare
The technological revolution over the past decade has transformed several applications in
different global sectors such as retail, transportation, automobile, agriculture, medicine, etc …
different global sectors such as retail, transportation, automobile, agriculture, medicine, etc …
Building a smart healthcare system using Internet of Things and machine learning
The Internet of Things (IoT) and Machine Learning (ML) are commonly used in the field of
medical diagnostics and health care to monitor a patient's condition. The IoT has been used …
medical diagnostics and health care to monitor a patient's condition. The IoT has been used …
Research issues and future research directions toward smart healthcare using internet of things and machine learning
Machine Learning (ML) and Internet of Things (IoT) are two of the highly discussed and
extensively used research areas in the current world. In highly essential and sensitive …
extensively used research areas in the current world. In highly essential and sensitive …
An Useful Survey on Supervised Machine Learning Algorithms: Comparisons and Classifications
B Abhishek, AK Tyagi - International Conference on Advances in Electrical …, 2021 - Springer
The look for methodologies that can make inferences from externally supplied data develop
broad hypotheses that are subsequently used to create forecasts concerning future events is …
broad hypotheses that are subsequently used to create forecasts concerning future events is …
Smart Hospital in Smart Cities
The healthcare landscape is experiencing a significant transformation with the rise of smart
hospitals. Smart hospitals, also referred to as digital or intelligent hospitals, leverage …
hospitals. Smart hospitals, also referred to as digital or intelligent hospitals, leverage …
Internet-based healthcare things driven deep learning algorithm for detection and classification of cervical cells
Cervical cancer has been one of the major health concerns as it has increased the death
rates caused by cancer among women. However, its early detection can definitely have a …
rates caused by cancer among women. However, its early detection can definitely have a …