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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 ...
Management and entrepreneurship management mechanism of college students based on support vector machine algorithm
(Blackwell Publishing Inc., 2020)
For the employment and entrepreneurship management of college students, the application of big data technology can effectively improve their work efficiency, that is, the support vector machine algorithm is applied to the ...
Improved hybrid fuzzy logic system for evaluating sustainable transportation systems in smart cities
(Inderscience Publishers, 2021)
Modern times are required for smart cities to have sustainable transport systems. In several years the number of transport operations has increased considerably and the development is expected to increase in the years to ...
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 ...
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 ...
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 ...
Sound measurement and automatic vehicle classification and counting applied to road traffic noise characterization
(Springer Science and Business Media Deutschland GmbH, 2021)
Increase in population density in large cities has increased the environmental noise present in these environments, causing negative effects on human health. There are different sources of environmental noise; however, ...
A Framework for Extractive Text Summarization Based on Deep Learning Modified Neural Network Classifier
(Association for Computing Machinery, 2021)
There is an exponential growth of text data over the internet, and it is expected to gain significant growth and attention in the coming years. Extracting meaningful insights from text data is crucially important as it ...
Heterogeneous computing model for post-injury walking pattern restoration and postural stability rehabilitation exercise recognition
(Blackwell Publishing Ltd, 2021)
The research paper presents the heterogeneous computing model for analysis & restoration of human walking deformity and posture instability. Gait-related walking activities are very important for the analysis of postural ...
Coronavirus fake news detection via MedOSINT check in health care official bulletins with CBR explanation: The way to find the real information source through OSINT, the verifier tool for official journals
(Elsevier Inc., 2021)
This research aims to design and prototype a tool to perform intelligence on open sources (OSINT), specifically on official medical bulletins for the detection of false news. MedOSINT is a modular tool that can be adapted ...