266 Result(s)
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Article
Ensemble successor representations for task generalization in offline-to-online reinforcement learning
In reinforcement learning (RL), training a policy from scratch with online experiences can be inefficient because of the difficulties in exploration. Recently, offline RL provides a promising solution by givin...
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Article
Open AccessDevelopment and implementation of carbon accounting models and standardization platforms in public institutions
Public institutions, emblematic of public infrastructure, exhibit extensive reach and operational scope, positioning them as vanguards in China’s dual carbon initiatives and serving as exemplars. Electricity a...
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Article
Strategies for mitigating detrimental effects in cyber-physical multiplex networks
This study unveils two innovative mechanisms (EACM and ERSM) for mitigating detrimental items such as epidemics and rumors, both meticulously devised for coupling cyber-physical multiplex networks. The EACM el...
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Article
Open AccessExploring carbon emission accounting methods for typical public institutions: a case study of hospitals
Typical public institutions such as government offices, hospitals, and schools play important leading and exemplary roles in the green and low-carbon development of the whole society. This paper analyzes the b...
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Article
Open AccessA comprehensive optimization mathematical model for wind solar energy storage complementary distribution network based on multi-regulatory devices under the background of renewable energy integration
In the context of global energy transformation and sustainable development, integrating and utilizing renewable energy effectively have become the key to the power system advancement. However, the integration ...
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Article
SAM3D: zero-shot 3D object detection via the segment anything model
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Article
Distinct but correct: generating diversified and entity-revised medical response
Medical dialogue generation (MDG) is applied for building medical dialogue systems for intelligent consultation. Such systems can communicate with patients in real time, thereby improving the efficiency of cli...
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Article
Investigation and mitigation of Mott neuronal oscillation fluctuation in spiking neural network
Mott devices, featuring low hardware cost and high energy efficiency, have been demonstrated as a key oscillatory element in artificial neurons to enable spiking neural networks (SNNs) such as conversion-based...
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Article
Near-threshold-voltage operation in flash-based high-precision computing-in-memory to implement Poisson image editing
We propose a NOR flash-based computing-in-memory (CIM) to implement high-precision (32-bit) Poisson image editing, including the gradient operations and Laplace operation. To meet the requirements of image pro...
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Article
Confidence-weighted mutual supervision on dual networks for unsupervised cross-modality image segmentation
The unsupervised cross-modality image segmentation has gained much attention. Many methods attempt to align different modalities via adversarial learning. Recently, self-training with pseudo labels for the uns...
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Article
A meaningful learning method for zero-shot semantic segmentation
Zero-shot semantic segmentation, which is developed to segment unseen categories, has attracted increasing attention due to its strong practicability. Previous approaches usually applied semantic-visual mappin...
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Article
Open AccessMultimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a sco** review
With ageing populations around the world, there is a rapid rise in the number of people with Alzheimer’s disease (AD) and Parkinson’s disease (PD), the two most common types of neurodegenerative disorders. The...
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Article
ArgusDroid: detecting Android malware variants by mining permission-API knowledge graph
Malware family variants make minor and relevant changes of behaviors based on the original malware. To analyze and detect family variants, security experts must not only understand malware behaviors but also f...
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Article
Coverage enhancement for 6G satellite-terrestrial integrated networks: performance metrics, constellation configuration and resource allocation
Since the base station-centric wireless coverage mode of 5G is difficult to support future stereoscopic global wireless coverage demands, the future infrastructure of 6G satellite-terrestrial integrated networ...
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Article
Deep graph learning for spatially-varying indoor lighting prediction
Lighting prediction from a single image is becoming increasingly important in many vision and augmented reality (AR) applications in which shading and shadow consistency between virtual and real objects should...
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Article
Hf0.5Zr0.5O2 1T−1C FeRAM arrays with excellent endurance performance for embedded memory
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Article
Safety guarantee for time-delay systems with disturbances
Time delays occur in various engineering applications because they may be inherent in the plants or caused by networks. In this paper, we investigate the safety verification problem of time-delay systems model...
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Chapter and Conference Paper
Research on Language Learning and Cross-Cultural Function Based on Mobile Digital Platform
From the perspective of linguistics and cross-cultural communication, this paper analyzes three theoretical problems about confusion and anxiety in cross-cultural communication and language learning, namely pr...
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Chapter and Conference Paper
SE-ResNet56: Robust Network Model for Deepfake Detection
In recent years, high quality deepfake face images generated by Generative Adversarial Networks (GAN) technology have caused serious negative impacts in many fields. Traditional image forensics methods are una...
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Chapter and Conference Paper
Long-Tailed Time Series Classification via Feature Space Rebalancing
Learning unbiased decision boundaries is crucial for time series classification. Real-world datasets typically exhibit long-tailed natures of class distributions, which results in an imbalanced feature space a...