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Mostrando ítems 101-107 de 107
Emotion stimuli-based surface electromyography signal classification employing Markov transition field and deep neural networks
(Elsevier B.V., 2022)
Surface electromyography (sEMG) has been widely used in clinical medicine, rehabilitation medicine, and intelligent robots. Currently, sEMG signal classification methods promoted the development and industrialization of ...
Automated detection of age-related macular degeneration using a pre-trained deep-learning scheme
(Springer, 2022)
An eye disease affects the entire sensory operation, and an unrecognised and untreated eye disease may lead to loss of vision. The proposed work aims to develop an automated age-related macular degeneration (AMD) detection ...
Lightweight Computational Intelligence for IoT Health Monitoring of Off-Road Vehicles: Enhanced Selection Log-Scaled Mutation GA Structured ANN
(IEEE Computer Society, 2022)
Smart monitoring of off-road vehicles is cursed by their complex and expensive IoT sensors technologies. High dependence on the cloud/fog computation, availability of the network, and expert knowledge make it handicap in ...
Multilayer Framework for Botnet Detection Using Machine Learning Algorithms
(IEEE Access, 2021)
A botnet is a malware program that a hacker remotely controls called a botmaster. Botnet can perform massive cyber-attacks such as DDOS, SPAM, click-fraud, information, and identity stealing. The botnet also can avoid being ...
UXJs: Tracking and Analyzing Web Usage Information With a Javascript Oriented Approach
(IEEE Access, 2020)
Knowing what the user does inside your web and how he does it is crucial nowadays to understand the strengths and inconveniences of your web's design and architectural structure as well as about the usability of the site. ...
Planificación y gestión de proyectos de plantas fotovoltaicas aplicando inteligencia artificial
(Proceedings from the International Congress on Project Management and Engineering, 2021)
Las energías renovables han tenido un crecimiento exponencial en los últimos años como queda reflejado por la agencia internacional de energía (AIE), según sus previsiones, la participación de las renovables en el suministro ...
COVID-19: Psychological and Psychosocial Impact, Fear, and Passion
(Digital Government: Research and Practice, 2021)
In December 2019, the novel coronavirus disease (COVID-19) emerged in Wuhan, Hubei Province of China.
Unlike common cold and flu, COVID-19 is much more contagious, and its spread rate is exponential. More than
8,999,659 ...