Lightweight containers in serverless-based vehicular edge computing (SVEC) offer flexible service provisioning for edge service providers (ESPs), enabling quick response to various service requests from mobile vehicle...
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Extensive simulation sample data are crucial for the intelligent interpretation of synthetic aperture radar (SAR) data of the lunar surface using deep learning techniques. Existing simulation methods inadequately capt...
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Code summarization aims to generate natural language (NL) summaries automatically given the source code snippet, which aids developers in understanding source code faster and improves software maintenance. Recent appr...
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In recent years, microservice architectures have benefited from low coupling and high cohesion characteristics, allowing flexible on-demand deployment of complex applications and simplifying the difficulty of developi...
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This paper proposes a combined prediction model based on secondary decomposition and MSCSO-WLSSVM to enhance methane gas emission prediction accuracy. Firstly, the complete ensemble empirical mode decomposition with a...
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This study focuses on enhancing Natural Language Processing (NLP) in generative AI chatbots through the utilization of advanced pre-trained models. We assessed five distinct Large Language Models (LLMs): TRANSFORMER M...
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Due to limited computing and storage resources,light clients and full nodes coexist in a typical blockchain *** query from light clients must be forwarded to full nodes for execution,and light clients verify the integ...
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Due to limited computing and storage resources,light clients and full nodes coexist in a typical blockchain *** query from light clients must be forwarded to full nodes for execution,and light clients verify the integrity of query results *** existing verifiable queries based on an authenticated data structure(ADS)suffer from signifi-cant network,storage and computing overheads by virtue of verification objects(VOs),an alternative way turns to the trusted execution environment(TEE),with which light clients do not need to receive or verify any ***,state-of-the-art TEEs cannot deal with large-scale applications conveniently due to the limited secure memory space(e.g.,the size of the enclave in Intel SGX(software guard extensions),a typical TEE product,is only 128 MB).Hence,we organize data hierarchically in trusted(enclave)and untrusted memory,along with hot data buffered in the enclave to reduce page swapping overhead between two kinds of *** cost analysis and empirical study validate the effectiveness of our proposed *** VO size of our scheme is reduced by one to two orders of magnitude compared with that of the tra-ditional scheme.
Video object segmentation aims to extract 2D object masks by segmenting video frames into multiple objects, which is crucial in various practical applications such as medical imaging, etc.. However, traditional video ...
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There are complaints about current machine learning techniques such as the requirement of a huge amount of training data and proficient training skills,the difficulty of continual learning,the risk of catastrophic for...
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There are complaints about current machine learning techniques such as the requirement of a huge amount of training data and proficient training skills,the difficulty of continual learning,the risk of catastrophic forgetting,and the leaking of data privacy/*** research efforts have been focusing on one of those concerned issues separately,paying less attention to the fact that most issues are entangled in *** prevailing big model paradigm,which has achieved impressive results in natural language processing and computer vision applications,has not yet addressed those issues,whereas becoming a serious source of carbon *** article offers an overview of the learnware paradigm,which attempts to enable users not to need to build machine learning models from scratch,with the hope of reusing small models to do things even beyond their original purposes,where the key ingredient is the specification which enables a trained model to be adequately identified to reuse according to the requirement of future users who know nothing about the model in advance.
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