Opportunities and challenges in explainable artificial intelligence (xai): A survey
Nowadays, deep neural networks are widely used in mission critical systems such as
healthcare, self-driving vehicles, and military which have direct impact on human lives …
healthcare, self-driving vehicles, and military which have direct impact on human lives …
[HTML][HTML] Explaining deep neural networks: A survey on the global interpretation methods
A substantial amount of research has been carried out in Explainable Artificial Intelligence
(XAI) models, especially in those which explain the deep architectures of neural networks. A …
(XAI) models, especially in those which explain the deep architectures of neural networks. A …
IOT based wearable sensor for diseases prediction and symptom analysis in healthcare sector
BA Muthu, CB Sivaparthipan, G Manogaran… - Peer-to-peer networking …, 2020 - Springer
Humans with good health condition is some more difficult in today's life, because of
changing food habit and environment. So we need awareness about the health condition to …
changing food habit and environment. So we need awareness about the health condition to …
Opportunities and challenges in deep learning adversarial robustness: A survey
As we seek to deploy machine learning models beyond virtual and controlled domains, it is
critical to analyze not only the accuracy or the fact that it works most of the time, but if such a …
critical to analyze not only the accuracy or the fact that it works most of the time, but if such a …
RETRACTED ARTICLE: A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment
Abstract Internet of Things (IoT) and smart medical devices have improved the healthcare
systems by enabling remote monitoring and screening of the patients' health conditions …
systems by enabling remote monitoring and screening of the patients' health conditions …
Medical Internet of things using machine learning algorithms for lung cancer detection
This paper empirically evaluates the several machine learning algorithms adaptable for lung
cancer detection linked with IoT devices. In this work, a review of nearly 65 papers for …
cancer detection linked with IoT devices. In this work, a review of nearly 65 papers for …
Deep transfer learning approaches to predict glaucoma, cataract, choroidal neovascularization, diabetic macular edema, drusen and healthy eyes: an experimental …
Artificial intelligence (AI) has lately witnessed an age of tremendous expansion across
several industries, including healthcare. In recent years, substantial advancements in AI …
several industries, including healthcare. In recent years, substantial advancements in AI …
A novel group decision making model based on neutrosophic sets for heart disease diagnosis
M Abdel-Basset, A Gamal, G Manogaran… - Multimedia Tools and …, 2020 - Springer
In a developed society, people have more concerned about their health. Thus, improvement
of medical field application has been one of the greatest active study areas. Medical …
of medical field application has been one of the greatest active study areas. Medical …
Extreme learning machine and bayesian optimization-driven intelligent framework for IoMT cyber-attack detection
Abstract The Internet of Medical Things (IoMT) is a bionetwork of allied medical devices,
sensors, wearable biosensor devices, etc. It is gradually reforming the healthcare industry by …
sensors, wearable biosensor devices, etc. It is gradually reforming the healthcare industry by …
Machine learning applied to diagnosis of human diseases: A systematic review
Human healthcare is one of the most important topics for society. It tries to find the correct
effective and robust disease detection as soon as possible to patients receipt the …
effective and robust disease detection as soon as possible to patients receipt the …