1,878 Result(s)
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Binary task offloading strategy for cloud robots using improved game theory in cloud-edge collaboration
In this study, we address the challenge of efficiently processing cloud robot tasks within cloud-edge collaborative systems by designing a collaborative offloading system. Our focus lies in jointly optimizing ...
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Multiple search operators selection by adaptive probability allocation for fast convergent multitask optimization
Evolutionary multitask optimization (EMTO) has developed fast recently, and many algorithms have emerged that solve several different problems simultaneously through knowledge transfer. Most algorithms use a s...
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An end-to-end repair-based joint training framework for weakly supervised pavement crack segmentation
Weakly supervised pavement crack segmentation aims to assign each pixel of pavement surface images a category label (crack or non-crack) using limited annotation information. Most existing methods adopt the mu...
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Prescribed time control based on the periodic delayed sliding mode surface without singularities
In this paper, nonsingular prescribed-time control is studied based on periodic delayed sliding mode surfaces. Different from the existing sliding mode control, where either singularity problems may appear or ...
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Latent side-information dynamic augmentation for incremental recommendation
The incremental recommendation involves updating existing models by extracting information from interaction data at current time-step, with the aim of maintaining model accuracy while addressing limitations in...
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Improving graph collaborative filtering with view explorer for social recommendation
Social recommender systems (SRS) have garnered adequate attention due to the supplementary information provided by social network, which aids in making recommendations. However, social network information cont...
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VMD based wavelet hybrid denoising and improved FBCCA algorithm: a new technique for wearable SSVEP recognition
The brain-computer interface based on steady-state visual evoked potential (SSVEP) has gained increasing attention due to its non-invasiveness, low user training requirement, and high information transfer rate...
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Priori separation graph convolution with long-short term temporal modeling for skeleton-based action recognition
Human action recognition from skeleton motion sequences is widely applied in various fields such as virtual reality, human-computer interaction and kinematic rehabilitation. With the wide use of graph neural n...
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STTD: spatial-temporal transformer with double recurrent graph convolutional cooperative network for traffic flow prediction
Traffic flow prediction is an important part of ITS, accurate traffic flow prediction plays a crucial role in the development of ITS. It can not only effectively avoid traffic problems such as traffic congesti...
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CLIP-enhanced multimodal machine translation: integrating visual and label features with transformer fusion
Multimodal machine translation is a technique that leverages computer vision to improve the quality of text translation. Most recent multimodal machine translation models only take into account visual features...
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Open AccessShadow-aware image colorization
Significant advancements have been made in colorization in recent years, especially with the introduction of deep learning technology. However, challenges remain in accurately colorizing images under certain l...
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MIFNet: multimodal interactive fusion network for medication recommendation
Medication recommendation aims to provide clinicians with safe medicine combinations for the treatment of patients. Existing medication recommendation models are built based on the temporal structured code dat...
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Deep feature voting: a semantic-driven and local context-aware approach for image classification
In the context of addressing new image classification tasks with insufficient training samples via pre-trained deep learning models, the methods based on the Bag-of-Deep-Visual-Words (BoDVW) model have achieve...
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Electricity-cost-aware multi-workflow scheduling in heterogeneous cloud
Multi-workflows are commonly deployed on cloud platforms to achieve efficient computational power. Diverse task configuration requirements, the heterogeneous nature and dynamic electricity price of cloud serve...
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O2ath: an OpenMP offloading toolkit for the sunway heterogeneous manycore platform
The next generation Sunway supercomputer employs the SW26010pro processor, which features a specialized on-chip heterogeneous architecture. Applications with significant hotspots can benefit from the great com...
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A sequence recommendation method based on external reinforcement and position separation
Sequential Recommendation systems play a crucial role in predicting users’ preferences based on their behavioral history. However, the existing methods ignore the extrapolation nature of sequences and do not m...
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Open AccessIs this news article still relevant? Ranking by contemporary relevance in archival search
Our civilization creates enormous volumes of digital data, a substantial fraction of which is preserved and made publicly available for present and future usage. Additionally, historical born-analog records ar...
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IDA: an improved dual attention module for pollen classification
Pollen allergy is a common disease in the department of allergy, and its incidence is increasing year by year, seriously affecting human health. As an important task in palynology, pollen identification is wid...
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FAColorGAN: a dual-branch generative adversarial network for near-infrared image colorization
In addressing the issues of detail loss and poor robustness in near-infrared (NIR) image colorization tasks, this paper introduces a dual-branch approach for NIR image colorization. The proposed method is base...
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Open AccessTwo-dimensional materials for future information technology: status and prospects
Over the past 70 years, the semiconductor industry has undergone transformative changes, largely driven by the miniaturization of devices and the integration of innovative structures and materials. Two-dimensi...