This study aims to develop a reliable, non-invasive method for predicting early health issues through iridology by leveraging computer vision and deep learning techniques. Iridology, which involves the analysis of iri...
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The aim of this study is to improve the production of white charcoal and syngas using a stove equipped with an IoT airflow controller. The airflow regulation system for a gasification furnace including a double-burner...
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The key of using DGF method to solve electromagnetic field engineering problems is to construct dyadic Green's functions. In this paper, through constructing coaxial vector wave functions in the cylindrical coordi...
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Passwords (and login credentials) are pivotal in our daily online activities, securing 'things' including emails and e-wallets. Yet, users tend to recycle similar passwords across multiple services, posing a s...
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It takes a lot of work to develop a computerized method for classifying plants for medicinal purposes. There are countless kinds of plants found in India, and each one has its own unique set oftherapeutic advantages. ...
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In this study, we presente digital solution for training master's students in engineering sciences, using a bimodal learning approach at the Higher Institute of technology of Bangui's University. This proposal...
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作者：
Zhang, YanXi'an Shiyou University
Key Laboratory of Optoelectronic Oil and Gas Logging and Testing Ministry of Education Xi'an710065 China
With the rapid development of computertechnology and intelligent instrumentation in China, data acquisition and data processing technology have become one of the preliminary work for digital signal processing, which ...
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Image encryption has become one of the key techniques for information protection in today's context of increasing number and rising importance of digital communication. The purpose of this paper is to explore a cr...
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Against the backdrop of the gradual popularization of new energy vehicles, it is particularly important to improve the safety and comfort of driving new energy vehicles. As the market share of new energy vehicles grad...
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ISBN:
(纸本)9798350366105;9798350366099
Against the backdrop of the gradual popularization of new energy vehicles, it is particularly important to improve the safety and comfort of driving new energy vehicles. As the market share of new energy vehicles gradually increases, improving the driving safety and comfort of new energy vehicles has become an urgent problem to be solved. This article helps improve the intelligent driving assistance system of new energy vehicles by combining intelligent algorithms and computer vision technology. This article realizes real-time detection and identification of vehicles, pedestrians and obstacles in road scenes by using target detection algorithms, then uses image segmentation technology to separate different areas in the road image, such as lane lines and pedestrian areas, and uses motion estimation algorithms to track and predict moving objects on the road to improve the performance of the new energy vehicles' driving assistance system. Experimental results show that the stability test results of this system are between 89% and 98%, and significant progress has been made in road environment perception and driving decision-making.
As the digital age progresses, the intersection of computer vision technology and education is drawing significant attention, enabling the development of interactive teaching tools that redefine how knowledge is impar...
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