Personalized diabetes monitoring platform leveraging IoMT and AI for non-invasive estimation

D Padmavilochanan, RK Pathinarupothi, KAU Menon… - Smart Health, 2023 - Elsevier
Non-invasive blood glucose estimation is an extensively researched area since current gold-
standard invasive glucose monitoring methods present numerous inconveniences and …

[PDF][PDF] Social distancing detector using deep learning

M Sriharsha, S Jindam, A Gandla… - Int. J. Recent Technol …, 2022 - researchgate.net
Social Distancing is the best possible way to detain the spread of Covid-19. Even though
vaccine has been found and working effectively in saving the lives of people, social …

Adaptive Task Scheduling Procedure By Using Improvised Q-Learning Technique In Internet Of Things

K Manjunath, K Suresh - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The arrival of the data packets fluctuates dynamically in an Internet of Things (IoT)
ecosystem which consists of numerous devices. fault to operate them according to the QoS …

Benchmarking Machine Learning Techniques for Attention Detection

TH Hrishab, DPC Reddy, JKS Sanjay… - 2024 15th …, 2024 - ieeexplore.ieee.org
Being attentive among the chaos of the current world is very important. It has applications in
various fields such as education, safety, healthcare. Attention patterns can be very helpful in …

CycleFit: An Analysis of Regression Models for Caloric Expenditure Prediction in Cycling Activities

H Paul, A Rajendran, C Sunil, T Anjali… - … in Technology and …, 2024 - ieeexplore.ieee.org
In the realm of endurance sports, athletes often grapple with the challenge of balancing
caloric intake to avoid the dreaded energy depletion phenomenon known as “bonking.” This …

Securing Distributed Data Mechanism Based On Blockchain Technology

R Sujan - 2022 International Conference on Computing …, 2022 - ieeexplore.ieee.org
Providing consistent security in certain network of any organisation is most important and
difficult too. One of the important objective components of operations for storage and …

Stock Split Analysis and Market Value Predictions by using Enhanced Long Short-Term Memory

MK YL, K Suresh - 2022 IEEE Global Conference on …, 2022 - ieeexplore.ieee.org
The stock split remains One of the most unpredictable and unstable activities is the stock
split market. To maximize the benefits, mathematical and computational techniques have …

AI based obstacle Avoidance and Signal Management Autonomous Car with Less Collision

S Anand, S TA, A PG, KR RL… - 2022 IEEE North …, 2022 - ieeexplore.ieee.org
The proposed autonomous vehicle is designed and developed to operate on the road
without any driver. It is a self-driven remote vehicle to avoid obstacles and reduces accidents …

Prior Cardiovascular Disease Detection using Machine Learning Algorithms in Fog Computing

K Suresh, R Subramani, N Rio… - 2023 IEEE 3rd …, 2023 - ieeexplore.ieee.org
The term latent disease refers to an infection that does not show symptoms but remains
forever. In this paper, proposed a novel methodology for addressing latent diseases in …

Advancing IoT Security: A Stacked Hybrid AI Approach for Anomaly Detection

DB Ananya, KS Mahalakshmi… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
AI-driven anomaly detection for Internet of Things networks is a major challenge in security.
A range of ML models and DL are used in this field. Fascinatingly, multi-layer perceptron …