computer vision is the field that focuses on automating and combining various processes and representations used for visual perception. The subject encompasses numerous approaches that provide individual use, such as ...
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Deepfakes are explicit films created by swapping faces using neural networks. This type of artificial intelligence has been applied to complicated problems such as vote-based systems and national security. Deepfake ca...
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The proceedings contain 299 papers. The topics discussed include: capacitated lot-sizing problem with inventory constraints within periods;anomaly detection based on selection and weighting in latent space;adaptive me...
ISBN:
(纸本)9781665418737
The proceedings contain 299 papers. The topics discussed include: capacitated lot-sizing problem with inventory constraints within periods;anomaly detection based on selection and weighting in latent space;adaptive mechanomyogram hand gesture recognition in online and repeatable environment;Lasso Wahba’s problem and its analytical solution for spacecraft attitude determination;multi-robot online terrain coverage under communication range restrictions – an empirical study;modelling and prediction of injection molding process using copula entropy and multi-output SVR;an intelligent control approach for heavy haul trains using deep reinforcement learning;socially compliant navigation in indoor corridors based on reinforcement learning;resolution-optimal, energy-constrained mission planning for unmanned aerial/ground crop inspections;and kit-net: self-supervised learning to kit novel 3D objects into novel 3D cavities.
In this paper, we will explain the creation and implementation of the Fruit Quality Detector which classifies and assess different fruits according to categories such as ratio, colour, and degree of maturation. With m...
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As we have come to rely on software systems in our daily lives, we have a clear expectation about the reliability of these systems. To ensure this reliability, automated software quality assurance processes have becom...
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ISBN:
(纸本)9798400705885
As we have come to rely on software systems in our daily lives, we have a clear expectation about the reliability of these systems. To ensure this reliability, automated software quality assurance processes have become an important part of software development. However, given the climate crisis that we are witnessing, it is important to ask ourselves what the impact of all these automated quality assurance processes is in terms of electricity consumption. This study explores the electricity consumption and potential environmental impact of continuous integration and software testing in 10 open source software projects.
This research sheds light toward the use of Deep Reinforcement Learning (DRL) strategy to solve interoperability issues in disaster management systems. The overall performance of the proposed DRL-based framework is de...
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作者：
Srivastava, JyotiRoutray, SidheswarSchool of Engineering
Indrashil University Department of Computer Science and Engineering Gujarat Rajpur Mehsana India Ganpat University
Faculty of Engineering and Technology Department of Computer Engineering Gujarat Kherwa Mehsana India School of Technology
Pandit Deendayal Energy University Department of Computer Science and Engineering Gandhinagar382007 India
Cyber Physical System (CPS) enhances the functionality of various cyber and physical equipment of Smart Healthcare System (SHS) and provides automation in the healthcare sector using Artificial Intelligence (AI) techn...
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In the continuous innovation and upgrading of the power system, the science and technology innovation index, as a core indicator for evaluating innovation activities, has gradually gained the attention of researchers ...
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Data masking is a critical component in the realm of data security, playing a significant role in preventing the involuntary disclosure of private information within data and ensuring that data is used legally. Howeve...
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This paper presents a study on planting planning strategies based on optimization genetic algorithms under multiple constraints. The research focuses on establishing a linear programming model with the decision variab...
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