Real-Time Remote Patient Monitoring: A Review of Biosensors Integrated with Multi-Hop IoT Systems via Cloud Connectivity
R Uddin, I Koo - Applied Sciences, 2024 - mdpi.com
This comprehensive review paper explores the intricate integration of biosensors with multi-
hop Internet of Things (IoT) systems, representing a paradigm shift in healthcare through …
hop Internet of Things (IoT) systems, representing a paradigm shift in healthcare through …
Computational Frontiers in Aptamer-Based Nanomedicine for Precision Therapeutics: A Comprehensive Review
S Kumar, A Mohan, NR Sharma, A Kumar… - ACS …, 2024 - ACS Publications
In the rapidly evolving landscape of nanomedicine, aptamers have emerged as powerful
molecular tools, demonstrating immense potential in targeted therapeutics, diagnostics, and …
molecular tools, demonstrating immense potential in targeted therapeutics, diagnostics, and …
Intelligent Millimeter-Wave System for Human Activity Monitoring for Telemedicine
Telemedicine has the potential to improve access and delivery of healthcare to diverse and
aging populations. Recent advances in technology allow for remote monitoring of …
aging populations. Recent advances in technology allow for remote monitoring of …
Leveraging reinforcement learning for advanced financial planning for effective personalization in economic forecasting and savings strategies
R Avacharmal, A Balakrishnan… - 2024 15th …, 2024 - ieeexplore.ieee.org
There is rarely a single response that can be considered “right” when it comes to the domain
of financial guidance and planning. Traditional algorithms have been successful in …
of financial guidance and planning. Traditional algorithms have been successful in …
A Novel Prognostic Model Using Chaotic CNN with Hybridized Spoofing for Enhancing Diagnostic Accuracy in Epileptic Seizure Prediction
P Palanisamy, S Urooj, R Arunachalam… - Diagnostics, 2023 - mdpi.com
Epileptic seizure detection has undergone progressive advancements since its conception
in the 1970s. From proof-of-concept experiments in the latter part of that decade, it has now …
in the 1970s. From proof-of-concept experiments in the latter part of that decade, it has now …
Mitigating Annotation Burden in Active Learning with Transfer Learning and Iterative Acquisition Functions
R Avacharmal, S Pamulaparthyvenkata… - 2024 15th …, 2024 - ieeexplore.ieee.org
In situations where there is a lack of readily available annotated data, active learning is a
useful tactic. To increase the model's generalization, it entails training a model on a …
useful tactic. To increase the model's generalization, it entails training a model on a …
Comprehensive investigation on Deep learning models: Applications, Advantages, and Challenges
R Avacharmal, S Pamulaparthyvenkata… - 2024 15th …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) and machine learning (ML) have been completely transformed by
deep learning (DL), which provides unmatched power in handling massive, unstructured …
deep learning (DL), which provides unmatched power in handling massive, unstructured …
Validating wound severity assessment via region-anchored convolutional neural network model for mobile image-based size and tissue classification
Evaluating and tracking the size of a wound is a crucial step in wound assessment. The
measurement of various indicators on wounds over time plays a vital role in treating and …
measurement of various indicators on wounds over time plays a vital role in treating and …
[HTML][HTML] Artificial Intelligence for Remote Patient Monitoring: Advancements, Applications, and Challenges
M Farrokhi, F Taheri, A Moeini, M Farrokhi, MZS Alireza… - Kindle, 2024 - preferpub.org
Artificial Intelligence (AI) has emerged as a transformative force in the healthcare sector,
particularly in the realm of remote patient monitoring (RPM). RPM involves the collection …
particularly in the realm of remote patient monitoring (RPM). RPM involves the collection …
Smart Malaria Classification: A Novel Machine Learning Algorithms for Early Malaria Monitoring and Detecting Using IoT-Based Healthcare Environment
Malaria, caused by the Plasmodium parasite and transmitted by female Anopheles
mosquitoes, poses a significant risk to nearly half of the global population, with sub-Saharan …
mosquitoes, poses a significant risk to nearly half of the global population, with sub-Saharan …