„Computer System Implementation.“
Suchergebnisse
3.234 Treffer
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On Mobile Pose Estimation and Action Recognition Design and Implementation
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Provably secure data selective sharing scheme with cloud-based decentralized trust management systems
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Stacked-CNN-BiLSTM-COVID: an effective stacked ensemble deep learning framework for sentiment analysis of Arabic COVID-19 tweets
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A supervised deep learning-based sentiment analysis by the implementation of Word2Vec and GloVe Embedding techniques
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Traffic prediction for diverse edge IoT data using graph network
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Design and implementation of hybrid (radix-8 Booth and TRAM) approximate multiplier using 15-4 approximate compressors for image processing application
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Research and implementation of adaptive stereo matching algorithm based on ZYNQ
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A novel multiplier-less convolution core for YOLO CNN ASIC implementation
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A cloud-edge collaborative task scheduling method based on model segmentation
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Implementation of JPEG XS entropy encoding and decoding on FPGA
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A cloud-edge computing architecture for monitoring protective equipment
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Predicting UPDRS in Parkinson’s disease using ensembles of self-organizing map and neuro-fuzzy
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Analysis and prediction of virtual machine boot time on virtualized computing environments
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Intelligent code search aids edge software development
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IoT workload offloading efficient intelligent transport system in federated ACNN integrated cooperated edge-cloud networks
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Analysis of brain waves changes in stressful situations based on horror game with the implementation of virtual reality and brain-computer interface system: a case study
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PMNet: a multi-branch and multi-scale semantic segmentation approach to water extraction from high-resolution remote sensing images with edge-cloud computing
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Advanced series decomposition with a gated recurrent unit and graph convolutional neural network for non-stationary data patterns
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FLM-ICR: a federated learning model for classification of internet of vehicle terminals using connection records
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Algorithmic and implementation issues in analog low power learning neural network chips