Analytical review on deep learning and IoT for smart healthcare monitoring system

S Yempally, SK Singh, S Velliangiri - International Journal of …, 2022 - emerald.com
RETRACTED: Analytical review on deep learning and IoT for smart healthcare monitoring
system | Emerald Insight Books and journals Case studies Expert Briefings Open Access …

Computational intelligence in iot healthcare

OT Olaniyan, CO Adetunji, MJ Adeniyi… - … , Machine Learning and …, 2022 - taylorfrancis.com
Computational intelligence has been described as a practical solution to real life problems
through various mechanisms, domains, and natural processes. In recent times …

Machine learning models for traffic classification in electromagnetic nano-networks

A Galal, X Hesselbach - IEEE access, 2022 - ieeexplore.ieee.org
The number of nano-sensors connected to wireless electromagnetic nano-network
generates different traffic volumes that have increased dramatically, enabling various …

BCNet: a deep convolutional neural network for breast cancer grading

PH Zavareh, A Safayari, H Bolhasani - arXiv preprint arXiv:2107.05037, 2021 - arxiv.org
Breast cancer has become one of the most prevalent cancers by which people all over the
world are affected and is posed serious threats to human beings, in a particular woman. In …

[HTML][HTML] Robust adversarial uncertainty quantification for deep learning fine-tuning

U Ahmed, JCW Lin - The Journal of Supercomputing, 2023 - ncbi.nlm.nih.gov
This paper proposes a deep learning model that is robust and capable of handling highly
uncertain inputs. The model is divided into three phases: creating a dataset, creating a …

Deep learning in pervasive health monitoring, design goals, applications, and architectures: An overview and a brief synthesis

A Boulemtafes, H Khemissa, MS Derki, A Amira… - Smart Health, 2021 - Elsevier
The continuous growth of an aging population in some countries, and patients with chronic
conditions needs the development of efficient solutions for healthcare. Pervasive Health …

A Teenager Physical Fitness Evaluation Model Based on 1D-CNN with LSTM and Wearable Running PPG Recordings

J Guo, B Wan, S Zheng, A Song, W Huang - Biosensors, 2022 - mdpi.com
People attach greater importance to the physical health of teenagers because adolescence
is a critical period for the healthy development of the human body. With the progress of …

Wearable hydrogel-based health monitoring systems: A new paradigm for health monitoring?

X Wang, L Gao, H Ji, R Hao, Y Shi, J Yang… - Chemical Engineering …, 2024 - Elsevier
With the ability to dynamically and continuously measure health indicators and the potential
to offer early warning messages about physical diseases, wearable health monitoring …

Multimodal Stereotactic Brain Tumor Segmentation Using 3D-Znet

MA Ottom, H Abdul Rahman, IM Alazzam, ID Dinov - Bioengineering, 2023 - mdpi.com
Stereotactic brain tumor segmentation based on 3D neuroimaging data is a challenging task
due to the complexity of the brain architecture, extreme heterogeneity of tumor …

[PDF][PDF] An Intelligent Health Surveillance System: Predictive Modeling of Cardiovascular Parameters through Machine Learning Algorithms Using LoRa …

P Lavanya, RIV Subba, V Selvakumar… - Journal of Internet …, 2024 - jisis.org
In several nations, the majority of heart attacks lead to fatality prior to patients receiving any
kind of medical intervention. The traditional healthcare system is mostly passive, requiring …