A comprehensive review on smart health care: applications, paradigms, and challenges with case studies
S Saba Raoof, MAS Durai - Contrast Media & Molecular …, 2022 - Wiley Online Library
Growth and advancement of the Deep Learning (DL) and the Internet of Things (IoT) are
figuring out their way over the modern contemporary world through integrating various …
figuring out their way over the modern contemporary world through integrating various …
EEI-IoT: Edge-enabled intelligent IoT framework for early detection of COVID-19 threats
BD Deebak, F Al-Turjman - Sensors, 2023 - mdpi.com
Coronavirus disease 2019 (COVID-19) has caused severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) across the globe, impacting effective diagnosis and treatment …
coronavirus 2 (SARS-CoV-2) across the globe, impacting effective diagnosis and treatment …
A quality aware multiunit double auction framework for iot-based mobile crowdsensing in strategic setting
Crowdsourcing with the intelligent agents carrying smart devices is becoming increasingly
popular in recent years. It has opened up meeting an extensive list of real-life applications …
popular in recent years. It has opened up meeting an extensive list of real-life applications …
Detection of pathologies in X-Ray chest images using a deep convolutional neural network with appropriate data augmentation techniques
Current advances in trained Deep Learning models have allowed architectures, such as
Convolutional Neural Networks to outperformed radiologists in developing complex tasks …
Convolutional Neural Networks to outperformed radiologists in developing complex tasks …
Integration of Artificial Intelligence (AI) and Other Cutting-Edge Technologies
In a world controlled by AI, data, and continually enhancing connection technology, it is
challenging to quit the “Internet of Things”(IoT) off a list of cutting-edge and paradigm-shifting …
challenging to quit the “Internet of Things”(IoT) off a list of cutting-edge and paradigm-shifting …
Original Research Article Biomedical named entity recognition using TCN approaches and bio tagging
TT Meenachisundaram, S Ramachandran… - Journal of …, 2023 - jai.front-sci.com
Biomedical named entity recognition (BNER) is to identify instances in biomedical field such
as chemical compounds, drugs, genes, RNA, DNA and proteins used in extracting …
as chemical compounds, drugs, genes, RNA, DNA and proteins used in extracting …