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Mostrando ítems 31-40 de 43
ADC–CF: Adaptive deep concatenation coder framework for visual question answering
(Elsevier B.V., 2021)
Multimodal teaching activity faces significant problems in Visual Question Answering (VQA), which involves simultaneous comprehension with reduced performance fidelity. However, Conventional methods are employed for portrayal ...
Fast hybrid-MixNet for security and privacy using NTRU algorithm
(Journal of information security and applications, 2021)
Security and privacy-enhancing techniques are developed in order to provide strong protection over the Internet. These techniques aim to enable the users to keep their identities secret during the communication when they ...
Internet of things-based cloud computing platform for analyzing the physical health condition
(IOS Press BV, 2021)
BACKGROUND: Health monitoring is important for early disease diagnosis and will reduce the discomfort and treatment expenses, which is very relevant in terms of prevention. The early diagnosis and treatment of multiple ...
Towards a solution to create, test and publish mixed reality experiences for occupational safety and health learning: Training-MR
(Universidad Internacional de la Rioja, 2021)
Artificial intelligence, Internet of Things, Human Augmentation, virtual reality, or mixed reality have been rapidly implemented in Industry 4.0, as they improve the productivity of workers. This productivity improvement ...
Real-time image enhancement for an automatic automobile accident detection through CCTV using deep learning
(Springer Science and Business Media Deutschland GmbH, 2021)
Almost all of the automatic accident detection (AAD) system suffers from the tradeoff between computational overhead and detection accuracy. Recent advances in detection and classification methodologies have shown phenomenal ...
Enhancing big data feature selection using a hybrid correlation-based feature selection
(2021)
This study proposes an alternate data extraction method that combines three well-known feature selection methods for handling large and problematic datasets: the correlation-based feature selection (CFS), best first search ...
Tree-based convolutional neural networks for object classification in segmented satellite images
(SAGE Publications Inc., 2020)
Satellite images have a very high resolution, which make their automatic processing computationally costly, and they suffer from artifacts making their processing difficult. This paper describes a method for the effective ...
Compliance and application tests of usability guidelines about giving information quickly and comprehensibly
(Springer, 2021)
The objective of this publication is to analyze compliance with the web usability guidelines onGiving information quickly and comprehensibly. The behavior of 20 IT engineers without experience in web usability is analyzed ...
Alzheimer's Patient Analysis Using Image and Gene Expression Data and Explainable-AI to Present Associated Genes
(Institute of Electrical and Electronics Engineers Inc., 2021)
There are more than 10 million new cases of Alzheimer's patients worldwide each year, which means there is a new case every 3.2 s. Alzheimer's disease (AD) is a progressive neurodegenerative disease and various machine ...
Physical education teaching for saving energy in basketball sports athletics using Hidden Markov and Motion Model
(John Wiley and Sons Inc, 2021)
A new trend of schooling is characterized by long-term learning and driven by technological, social, and cultural developments. This trend means that physical education (PE) and sports science must be strengthened. Although ...