[HTML][HTML] Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking …
This study presents a systematic review of artificial intelligence (AI) techniques used in the
detection and classification of coronavirus disease 2019 (COVID-19) medical images in …
detection and classification of coronavirus disease 2019 (COVID-19) medical images in …
Comprehensive insights into evaluation and benchmarking of real-time skin detectors: Review, open issues & challenges, and recommended solutions
Abstract Evaluation and benchmarking of real-time skin detectors remain challenging
because of multiple evaluation attributes that must be considered. Numerous evaluation and …
because of multiple evaluation attributes that must be considered. Numerous evaluation and …
Electronic medical record systems: Decision support examination framework for individual, security and privacy concerns using multi-perspective analysis
Electronic medical record (EMR) is currently a popular topic in e-health. EMR includes the
health-related information of patients and forms the main factor of e-health applications …
health-related information of patients and forms the main factor of e-health applications …
Hel** doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on …
Context People who have recently recovered from the threat of deteriorating coronavirus
disease-2019 (COVID-19) have antibodies to the coronavirus circulating in their blood …
disease-2019 (COVID-19) have antibodies to the coronavirus circulating in their blood …
Hand posture and gesture recognition techniques for virtual reality applications: a survey
Motion recognition is a topic in software engineering and dialect innovation with a goal of
interpreting human signals through mathematical algorithm. Hand gesture is a strategy for …
interpreting human signals through mathematical algorithm. Hand gesture is a strategy for …
Artificial neural network development by means of a novel combination of grammatical evolution and genetic algorithm
The most important problems with exploiting artificial neural networks (ANNs) are to design
the network topology, which usually requires an excessive amount of expert's effort, and to …
the network topology, which usually requires an excessive amount of expert's effort, and to …
Multi-agent learning neural network and Bayesian model for real-time IoT skin detectors: a new evaluation and benchmarking methodology
This study aimed to develop a new methodology for evaluating and benchmarking a multi-
agent learning neural network and Bayesian model for real-time skin detectors based on …
agent learning neural network and Bayesian model for real-time skin detectors based on …
Towards on develop a framework for the evaluation and benchmarking of skin detectors based on artificial intelligent models using multi-criteria decision-making …
Evaluation and benchmarking of skin detectors are challenging tasks because of multiple
evaluation attributes and conflicting criteria. Although several evaluating and benchmarking …
evaluation attributes and conflicting criteria. Although several evaluating and benchmarking …
OR-Skip-Net: Outer residual skip network for skin segmentation in non-ideal situations
Skin segmentation is one of the most important tasks for human activity recognition, video
monitoring, face detection, hand gesture recognition, content-based detection, adult content …
monitoring, face detection, hand gesture recognition, content-based detection, adult content …
Human skin detection through correlation rules between the YCb and YCr subspaces based on dynamic color clustering
This paper presents a novel rule-based skin detection method that works in the YCbCr color
space. The method is based on correlation rules that evaluate the combinations of …
space. The method is based on correlation rules that evaluate the combinations of …