Impact of COVID-19 on IoT adoption in healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT
COVID-19 has disrupted normal life and has enforced a substantial change in the policies,
priorities and activities of individuals, organisations and governments. These changes are …
priorities and activities of individuals, organisations and governments. These changes are …
Object detection in autonomous vehicles under adverse weather: a review of traditional and deep learning approaches
Enhancing the environmental perception of autonomous vehicles (AVs) in intelligent
transportation systems requires computer vision technology to be effective in detecting …
transportation systems requires computer vision technology to be effective in detecting …
A prediction and recommendation system for diabetes mellitus using XAI-based lime explainer
P Nagaraj, V Muneeswaran… - … Computing and Data …, 2022 - ieeexplore.ieee.org
Diabetes Mellitus is a chronic disease and many people have been affected by this disease.
Early diabetes prognosis can lead to improved treatment for the victims. Data mining …
Early diabetes prognosis can lead to improved treatment for the victims. Data mining …
Optimized adaptive tree seed Kalman filter for a diabetes recommendation system—bilevel performance improvement strategy for healthcare applications
Over the past 2 decades, recommendation systems have made remarkable changes and
achievements in the field of disease prevention and control. Building an accurate …
achievements in the field of disease prevention and control. Building an accurate …
Indigenous health tracking analyzer using IoT
V Muneeswaran, MP Nagaraj… - 2021 6th …, 2021 - ieeexplore.ieee.org
Nowadays, Health care is considered as an important aspect of our everyday lives. To
address the emerging health-related challenges, this research wprk has utilised the …
address the emerging health-related challenges, this research wprk has utilised the …
A food recommendation system for predictive diabetic patients using ANN and CNN
NC Brintha, P Nagaraj, A Tejasri… - 2022 7th …, 2022 - ieeexplore.ieee.org
In the present society, many people are suffering from diabetes. To maintain a healthier diet,
people must track the number of food calories they consume daily, along with their total …
people must track the number of food calories they consume daily, along with their total …
Internet of Things based smart hospital saline monitoring system
Saline and Blood leakage are one among the foremost common blood vessel medical care,
it performs a significant part within the supervision of patients who are unwell. Blood leakage …
it performs a significant part within the supervision of patients who are unwell. Blood leakage …
Sentiment analysis on diabetes diagnosis health care using machine learning technique
Sentiment analysis is a natural language processing technique that extricated data from the
text to identify the positive and negative polarity of information. This work aims at analyzing …
text to identify the positive and negative polarity of information. This work aims at analyzing …
Analysis of seminary learner campus network behaviour using machine learning techniques
These days, a lot of significant information have been collected. As per the huge information
from the administration arrangement of college, it is endeavoured to partition understudies' …
from the administration arrangement of college, it is endeavoured to partition understudies' …
Astute Segmentation and Classification of leucocytes in blood microscopic smear images using titivated K-means clustering and robust SVM techniques
CG Varma, P Nagaraj, V Muneeswaran… - … and Control Systems …, 2021 - ieeexplore.ieee.org
The microscopic smear images of blood are the images obtained through blood tests. So, by
obtaining these images through blood tests, we can be identifying the number of diseases …
obtaining these images through blood tests, we can be identifying the number of diseases …