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A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications …
dramatically changed the medical landscape. Medical centres have adopted AI applications …
Emotion recognition from unimodal to multimodal analysis: A review
K Ezzameli, H Mahersia - Information Fusion, 2023 - Elsevier
The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …
alternatives for emotion recognition in several domains including e-health, e-learning …
[Retracted] Internet of Medical Things (IoMT)‐Based Smart Healthcare System: Trends and Progress
Internet of Medical Thing (IoMT) is the most emerging era of the Internet of Thing (IoT), which
is exponentially gaining researchers' attention with every passing day because of its wide …
is exponentially gaining researchers' attention with every passing day because of its wide …
Ensemble-based cryptography for soldiers' health monitoring using mobile ad hoc networks
BVV Siva Prasad, S Mandapati… - Automatika: časopis za …, 2023 - hrcak.srce.hr
Sažetak Information technology acts an important role in gathering, transmitting with
executing data from areas of disaster-prone such as the battlefield and international borders …
executing data from areas of disaster-prone such as the battlefield and international borders …
A comprehensive review of the state-of-the-art on security and privacy issues in healthcare
Currently, healthcare is critical environment in our society, which attracts attention to
malicious activities and has caused an important number of damaging attacks. In parallel …
malicious activities and has caused an important number of damaging attacks. In parallel …
Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare
Abstract Background and Objective: Artificial Intelligence (AI) has shown significant
advancements across several industries, including healthcare, using better fusion …
advancements across several industries, including healthcare, using better fusion …
Deep learning for intrusion detection and security of Internet of things (IoT): current analysis, challenges, and possible solutions
In the last decade, huge growth is recorded globally in computer networks and Internet of
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …
Optimized clustering routing framework to maintain the optimal energy status in the wsn mobile cloud environment
Nowadays, energy-efficient data transmission is one of the biggest challenges in Wireless
Sensor Networks (WSNs). Therefore, various routing protocols were developed to minimize …
Sensor Networks (WSNs). Therefore, various routing protocols were developed to minimize …
Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture
Brain tumor is one of the most dreadful natures of cancer and caused a huge number of
deaths among kids and adults from the past few years. According to WHO standard, the …
deaths among kids and adults from the past few years. According to WHO standard, the …
[HTML][HTML] Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges
T Saba - Journal of infection and public health, 2020 - Elsevier
Cancer is a fatal illness often caused by genetic disorder aggregation and a variety of
pathological changes. Cancerous cells are abnormal areas often growing in any part of …
pathological changes. Cancerous cells are abnormal areas often growing in any part of …