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A comprehensive survey on multimodal medical signals fusion for smart healthcare systems
Smart healthcare is a framework that utilizes technologies such as wearable devices, the
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …
Healthcare 4.0: recent advancements and futuristic research directions
Abstract In recent years, Healthcare 4.0, the fourth healthcare revolution, has piqued the
interest of numerous researchers around the world. Healthcare 4.0 is a relatively new term …
interest of numerous researchers around the world. Healthcare 4.0 is a relatively new term …
[HTML][HTML] Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions
Abstract The Internet of Medical Things (IoMT) has created a wide range of opportunities for
knowledge exchange in numerous industries. The opportunities include patient …
knowledge exchange in numerous industries. The opportunities include patient …
Deep learning for multigrade brain tumor classification in smart healthcare systems: A prospective survey
Brain tumor is one of the most dangerous cancers in people of all ages, and its grade
recognition is a challenging problem for radiologists in health monitoring and automated …
recognition is a challenging problem for radiologists in health monitoring and automated …
Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data
In the last few years, visual sensors are deployed almost everywhere, generating a massive
amount of surveillance video data in smart cities that can be inspected intelligently to …
amount of surveillance video data in smart cities that can be inspected intelligently to …
An efficient deep learning framework for intelligent energy management in IoT networks
Green energy management is an economical solution for better energy usage, but the
employed literature lacks focusing on the potentials of edge intelligence in controllable …
employed literature lacks focusing on the potentials of edge intelligence in controllable …
A tutorial on internet of behaviors: Concept, architecture, technology, applications, and challenges
Q Zhao, G Li, J Cai, MC Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In his blogs of 2012, Dr. Göte Nyman coined Internet of Behaviors (IoB). In his idea, people's
behaviors are very good predictors of their needs, and hence technology companies can …
behaviors are very good predictors of their needs, and hence technology companies can …
Opportunities, applications, and challenges of edge-AI enabled video analytics in smart cities: a systematic review
Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …
and industry, captivating minds with its transformative potential. Deep learning techniques …
A review on traditional machine learning and deep learning models for WBCs classification in blood smear images
In computer vision, traditional machine learning (TML) and deep learning (DL) methods
have significantly contributed to the advancements of medical image analysis (MIA) by …
have significantly contributed to the advancements of medical image analysis (MIA) by …
Cover the violence: A novel Deep-Learning-Based approach towards violence-detection in movies
Movies have become one of the major sources of entertainment in the current era, which are
based on diverse ideas. Action movies have received the most attention in last few years …
based on diverse ideas. Action movies have received the most attention in last few years …