Recently, neural network-based in-loop filters have been rapidly developed, effectively improving the reconstruction quality and compression efficiency in video coding. Existing deep in-loop filters typically employed...
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The manual process of evaluating answer scripts is strenuous. Evaluators use the answer key to assess the answers in the answer scripts. Advancements in technology and the introduction of new learning paradigms need a...
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This paper aims to study the deep clustering problem with heterogeneous features and unknown cluster *** address this issue,a novel deep Bayesian clustering framework is *** particular,a heterogeneous feature metric i...
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This paper aims to study the deep clustering problem with heterogeneous features and unknown cluster *** address this issue,a novel deep Bayesian clustering framework is *** particular,a heterogeneous feature metric is first constructed to measure the similarity between different types of ***,a feature metric-restricted hierarchical sample generation process is established,in which sample with heterogeneous features is clustered by generating it from a similarity constraint hidden *** estimating the model parameters and posterior probability,the corresponding variational inference algorithm is derived and *** verify our model capability,we demonstrate our model on the synthetic dataset and show the superiority of the proposed method on some real *** source code is released on the website:***/yexlwh/Heterogeneousclustering.
Fruit categorization presents a significant challenge due to the diverse range of fruit types and their similarities in color, shape, size, and structure. This challenge is addressed in this research by proposing a mu...
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Efficient operations in distributed environments can be obtained by load balancing (LB). LB has turned out to be a vital and interesting research area with respect to the cloud owing to the swift augmentation of cloud...
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Crude oil prices (COP) profoundly influence global economic stability, with fluctuations reverberating across various sectors. Accurate forecasting of COP is indispensable for governments, policymakers, and stakeholde...
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Internet of Vehicles (IoV) integrates with various heterogeneous nodes, such as connected vehicles, roadside units, etc., which establishes a distributed network. Vehicles are managed nodes providing all the services ...
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Vehicular data misuse may lead to traffic accidents and even loss of life,so it is crucial to achieve secure vehicular data *** paper focuses on secure vehicular data communications in the Named Data Networking(NDN).I...
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Vehicular data misuse may lead to traffic accidents and even loss of life,so it is crucial to achieve secure vehicular data *** paper focuses on secure vehicular data communications in the Named Data Networking(NDN).In NDN,names,provider IDs and data are transmitted in plaintext,which exposes vehicular data to security threats and leads to considerable data communication costs and failure *** paper proposes a Secure vehicular Data Communication(SDC)approach in NDN to supress data communication costs and failure *** constructs a vehicular backbone to reduce the number of authenticated nodes involved in reverse *** the ciphtertext of the name and data is included in the signed Interest and Data and transmitted along the backbone,so the secure data communications are *** is evaluated,and the data results demonstrate that SCD achieves the above objectives.
Grains are the most important food consumed globally,yet their yield can be severely impacted by pest *** this issue,scientists and researchers strive to enhance the yield-to-seed ratio through effective pest detectio...
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Grains are the most important food consumed globally,yet their yield can be severely impacted by pest *** this issue,scientists and researchers strive to enhance the yield-to-seed ratio through effective pest detection *** approaches often rely on preprocessed datasets,but there is a growing need for solutions that utilize real-time images of pests in their natural *** study introduces a novel twostep approach to tackle this ***,raw images with complex backgrounds are *** the subsequent step,feature extraction is performed using both hand-crafted algorithms(Haralick,LBP,and Color Histogram)and modified deep-learning *** propose two models for this purpose:PestNet-EF and ***-EF uses an early fusion technique to integrate handcrafted and deep learning features,followed by adaptive feature selection methods such as CFS and Recursive Feature Elimination(RFE).PestNet-LF utilizes a late fusion technique,incorporating three additional layers(fully connected,softmax,and classification)to enhance *** models were evaluated across 15 classes of pests,including five classes each for rice,corn,and *** performance of our suggested algorithms was tested against the IP102 *** demonstrates that the Pestnet-EF model achieved an accuracy of 96%,and the PestNet-LF model with majority voting achieved the highest accuracy of 94%,while PestNet-LF with the average model attained an accuracy of 92%.Also,the proposed approach was compared with existing methods that rely on hand-crafted and transfer learning techniques,showcasing the effectiveness of our approach in real-time pest detection for improved agricultural yield.
Blockchain technology has been extensively studied over the past decade as a foundation for decentralized information-sharing platforms due to its promising *** the success of existing blockchain architectures like Bi...
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Blockchain technology has been extensively studied over the past decade as a foundation for decentralized information-sharing platforms due to its promising *** the success of existing blockchain architectures like Bitcoin,Ethereum,Filecoin,Hyperledger Fabric,BCOS,and BCS,current blockchain applications are still quite *** struggles with scenarios requiring high-speed transactions(e.g.,online markets)or large data storage(e.g.,video services)due to consensus efficiency *** restrictions pose risks to investors in blockchain-based economic systems(e.g.,DeFi),deterring current and potential *** protection challenges make it difficult to involve sensitive data in blockchain applications.
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