the existing vision-based tracking solutions, such as DeepSORT and SMILEtrack, base their feature sets on visual features extracted from a single camera using Convolutional Neural networks (CNNs) or through similarity...
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thermal conductivity is a critical performance parameter for thermal barrier coating materials and a key thermal property. Shortening the cycle for predicting the thermal conductivity holds practical significance. Con...
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the proceedings contain 9 papers. the special focus in this conference is on Big Data. the topics include: Cross-Chain Analysis of Blockchain-Based Pharmaceutical Supply Chain Management Using NFTs;a Study of the...
ISBN:
(纸本)9783031770876
the proceedings contain 9 papers. the special focus in this conference is on Big Data. the topics include: Cross-Chain Analysis of Blockchain-Based Pharmaceutical Supply Chain Management Using NFTs;a Study of the Impact of Networked Low-Altitude Drone Operations on the Performance of Big Data Services;anti-third-party Infringement Based on the Perspective of Data Resource Holding Rights;Defect Detection Network for TOPCon Solar Cells Based on Improved YOLOv5 and CBAM Mechanism;5 Steps for Enterprise Artificial Intelligence Governance and Compliance;Enhancing Transparency and Efficiency in Energy Trading Management Systems for Electric Vehicles: the Role of Blockchain, IPFS, and NFTs;a Model of Big Data Analytics Applied to Teacher Evaluation Based on Enhanced Data Quality.
A CAPTCHA is used to reduce the misuse in the case of rising automated bots or software systems and also to avoid any corruption of the web services. the Captcha is used as solving a turing test problem by the users, ...
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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 realm of decentralized optimization, addressing communication bottlenecks has emerged as a crucial strategy. While previous research has explored local updates, few have delved into the intricate interplay betw...
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the concept of Orthogonal Frequency-Division Multiplexing (OFDM) is a priority in wired and wireless information networks, mobile telecommunications of the 4th and 5th generations, modern digital television standards....
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Withthe rapid development and popularization of the Internet today, mechanical processing enterprises should not only adapt to new situations, but also reorganize various business processes. this article uses the Web...
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Existing image fusion methods often fail to fully utilize the contextual information of the images, resulting in blurry and distorted fusion results. In addition, although the existing multi-scale feature extraction m...
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ISBN:
(纸本)9798350349184;9798350349191
Existing image fusion methods often fail to fully utilize the contextual information of the images, resulting in blurry and distorted fusion results. In addition, although the existing multi-scale feature extraction methods can consider the information of the source image from multiple perspectives, they tend to ignore the local information. these limitations degrade the performance and effectiveness of image fusion techniques in practical applications. To address above issues, we propose a fusion network architecture called MIA-Nest, consisting of encoder network, fusion network, and decoder network. Specifically, we introduce the Squeeze-and-Excitation Blocks(SEBs) into the encoder network, so that it can take local information into account while extracting multi-scale features. At the same time, in order to allow the fusion network to integrate the context information of the extracted features, we introduce Global Context Blocks (GCBs), so as to enrich the details in the fusion result and enable it to contain more information. Finally, the decoder network reconstructs the fusion image from the fused features obtained by the fusion network. Experimental results demonstrate that our proposed method significantly improves the quality and detail preservation capability of the fused images.
the proceedings contain 80 papers. the topics discussed include: influencing factors of aesthetic education class co-constructed by school and museum under human-computer interaction background;enhancing AI education ...
ISBN:
(纸本)9798350372663
the proceedings contain 80 papers. the topics discussed include: influencing factors of aesthetic education class co-constructed by school and museum under human-computer interaction background;enhancing AI education through educational games: evidence from a meta-analysis study;instructional design of electronic information courses led by subject competition;design of a classroom big data analysis system based on open source technology;annotation of international Chinese classroom components based on large language model;evaluation of student performance based on learning behavior with random forest model;research on the training model and evaluation system of interdisciplinary professional master degree education based on fuzzy comprehensive evaluation method;enhancing college students’ programming ability based on individual factors and strategies;and predicting student performance to boost educational outcomes: the efficacy of a random forest approach.
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