Development of Intelligent Healthcare Monitoring System using Machine Learning Model DOI
Tanima Bhowmik,

Debajyoti Mitra,

Pratyusha Chatterjee

et al.

Published: Aug. 22, 2024

Language: Английский

Nanosensors Based on Breathomics for Human Disease Diagnosis: a New Frontier in Personalized Healthcare DOI Creative Commons
Bakr Ahmed Taha, Ali J. Addie, Adawiya J. Haider

et al.

BioNanoScience, Journal Year: 2025, Volume and Issue: 15(2)

Published: March 14, 2025

Language: Английский

Citations

0

Deep Learning for Mental Health Disorder Via Social Network Analysis DOI
Anandakumar Haldorai,

Babitha Lincy R,

Suriya Murugan

et al.

EAI/Springer Innovations in Communication and Computing, Journal Year: 2024, Volume and Issue: unknown, P. 153 - 173

Published: Jan. 1, 2024

Language: Английский

Citations

2

Enhanced Real-Time Analysis and Anomaly Detection in Smart Health Monitoring Systems through Integration of Deep Learning Algorithm with IoT-Edge Computing DOI

Antony Pradeesh D,

N. P. Subiramaniyam

Published: April 26, 2024

In this research, the proposed system HealthEdge, a new IoT-based intelligent health monitoring framework based on edge computing and diverse sensor array that includes breathing frequency (RR), pulse rate (PR), oxygen saturation level in blood (SpO2), galvanic skin response (GSR), body temperature hemoencephalography as vital signs sensors, well formaldehyde to gauge environmental influence health. HealthEdge utilizes powerful Deep Convolutional Neural Network (DCNN) perform analyze data real-time at edge, ensuring ultra-low latency amplified privacy. The model is capable of identifying anomalies with high accuracy 97% which demonstrating its potential observation anomaly detection. role quality measurements particular levels, imposing conditions, thereby spreading purview beyond traditional set parameters have been explored. integration not only addresses challenges conventional systems face maintaining balance between privacy concerns processing speed, it also state-of-the-art technology enables become norm for complete solutions.

Language: Английский

Citations

0

Investigating the Effects of Network Latency on P2P Communication Performance DOI

N. V. Balaji,

Bharat Bhushan, Sara Spinelli

et al.

2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: June 24, 2024

Language: Английский

Citations

0

Application of Machine Learning Techniques to Ad-Hoc Wireless Networks Performance Enhancement DOI
Parikshit N. Mahalle,

V.J. Vijayalakshmi,

Vivek Saraswat

et al.

2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: June 24, 2024

Language: Английский

Citations

0

Exploring Visibility-Based Shading Methods for Graphics and Visualization DOI

D. Anandhasilambarasan,

Kanika Seth,

Ar Aravind

et al.

2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: June 24, 2024

Language: Английский

Citations

0

Development of Intelligent Healthcare Monitoring System using Machine Learning Model DOI
Tanima Bhowmik,

Debajyoti Mitra,

Pratyusha Chatterjee

et al.

Published: Aug. 22, 2024

Language: Английский

Citations

0