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Human factors, artificial intelligence and autonomous cars : perspectives for a complex implementation
(Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Secretaria de Investigación y Posgrado, 2021-07-20)
The centuries-old near-inseparable human/automobile relationship faces a revolution thanks to artificial intelligence gradually creating new paradigms in terms of personal urban mobility. Still, would we be prepared to ...
COMPUTATIONAL STUDY on the RUPTURE RISK in REAL CEREBRAL ANEURYSMS with GEOMETRICAL and FLUID-MECHANICAL PARAMETERS USING FSI SIMULATIONS and MACHINE LEARNING ALGORITHMS
(World Scientific Publishing Co. Pte Ltd, 2019)
Fluid-mechanical and morphological parameters are recognized as major factors in the rupture risk of human aneurysms. On the other hand, it is well known that a lot of machine learning tools are available to study a variety ...
Máquinas e emoções na arte
(Universidade Estadual Paulista (Unesp), 2019-08-23)
O presente trabalho se desenvolve na fronteira entre a produção artística, científica e tecnológica. É uma procura da interface humana de significado no ambiente, que culminou na elaboração da exposição “A Senhora do Balé: ...
Mining Early Life Risk and Resiliency Factors and Their Influences in Human Populations from PubMed: A Machine Learning Approach to Discover DOHaD Evidence
(Multidisciplinary Digital Publishing Institute, 2021-10-22)
The Developmental Origins of Health and Disease (DOHaD) framework aims to understand how early life exposures shape lifecycle health. To date, no comprehensive list of these exposures and their interactions has been ...
Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms
Machine recognition of the human activities is an active research area in computer vision. In previous study, either one or two types of modalities have been used to handle this task. However, the grouping of maximum ...
A Comparative Study of Machine Learning Techniques for Gesture Recognition using Kinect
(Igi Publ, 2016)
Progress and technological innovation achieved in recent years, particularly in the area of entertainment and games, have promoted the creation of more natural and intuitive human-computer interfaces. Forexample, natural ...
Workforce Optimization for Bank Operation Centers: A Machine Learning Approach
Online Banking Systems evolved and improved in recent years with the use of mobile and online technologies, performing money transfer transactions on these channels can be done without delay and human interaction, however ...
Gesture unit segmentation using support vector machines: segmenting gestures from rest positions
(ACM Special Interest Group on Applied ComputingPolytechnic Institute of Coimbra (IPC)Institute of Systems and Robotics, Faculty of Sciences and Technology of University of Coimbra (ISR-FCTUC)Caixa Geral de DepositosCoimbra, 2013-03)
Gesture analysis has been widely used for developing new
methods of human-computer interaction. The advancement
reached in the gesture analysis area is also motivating its
application to automate tasks related to discourse ...
Redesigning COVID 19 care with network medicine and machine learning: A review
Emerging evidence regarding COVID 19 highlights the role of individual resistance and immune
function in both susceptibility to infection as well as severity of disease. Multiple factors
influence the response of the ...