Shifts in the marginal distribution of covariates from training to the test phase, named covariate-shifts, often lead to unstable prediction performance across agnostic testing data, especially under model misspecification. Recent literature on invariant ...

Currently, the robotic welding of medium-thickness plate structural parts has become a common welding application. With the rapid development of automation technology and robotics, the traditional teaching-playback mode and the off-...

• We propose specific welding seam extraction methods for different models.
• We ...

Microglia express phosphatidylinositol 3-kinase (PI3K) has been implicated in the induction and maintenance of long-term potentiation (LTP) and in hippocampal synaptic plasticity. However, there are few studies on ...

Deep learning, especially deep neural networks (DNNs), has been widely and successfully adopted in many critical applications for its high effectiveness and efficiency. The rapid development of DNNs has benefited from the existence of some high-quality ...

• We explore the flexible versions of NP-Attack, when combined with the surrogate models. Our method could show a better query efficiency, demonstrating that NP-Attack outperforms with or without surrogate models.
• We add some tiling ...

Deep neural networks (DNNs) have demonstrated excellent performance on various tasks, yet they are under the risk of adversarial examples that can be easily generated when the target model is accessible to an attacker (white-box setting). As ...

Deep neural networks (DNNs) have demonstrated their superiority in practice. Arguably, the rapid development of DNNs is largely benefited from high-quality (open-sourced) datasets, based on which researchers and developers can easily evaluate and improve ...

Complicated management tasks and various functions of traditional Data Center Network (DCNs) motivate the research on Software-Defined Networking (SDN). However, the limited flow table space in the SDN switch has a significant impact ...

Organ dysfunction, especially liver injury, caused by dengue virus (DENV) infection has been associated with fatal cases in dengue patients around the world. However, the pathophysiological mechanisms of liver involvement in dengue ...

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• miRNAs are playing an important role in regulating viral pathogenesis, and they can help in diagnostic and anti-viral therapy development.
• The down-regulated miRNAs of miR-484, miR-1247-5p and miR-6538 were identified to be the crucial ...

Currently, as a universal camera interface, CameraLink is widely used in real-time image processing systems. Furthermore, it is a parallel interface and transmitted by special cable. As a result, the transmission distance of CameraLink interface ...

Purposes: To explore the nonlinear effect of fiscal expenditure competition on the upgrading of industrial structure. Methods: Using Threshold Modeling Method and establishes a threshold panel model based on the China's provincial panel data from 2007 ...

As the Internet of Things (IoT) plays an increasingly important role in real life, the concern about IoT malware and botnet attacks is considerably growing. Meanwhile, with new techniques such as edge computing and artificial intelligence applied ...

Speech Entity Linking aims to recognize and disambiguate named entities in spoken languages. Conventional methods suffer gravely from the unfettered speech styles and the noisy transcripts generated by ASR systems. In this paper, we propose a ...

In the context of the latest growing popularity of live video streaming, ensuring high video quality has become one of the most significant challenges faced by all live streaming platforms. Insufficient uplink bandwidth is an important factor that ...

The 2019 novel coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is currently a major challenge threatening the global healthcare system. ...

• The risk relationship between asthma and COVID-19 is controversial.
• We ...

The size of the global routing table has been growing at an alarming rate. With the exhaustion of IPv4 addresses and the gradual deployment of IPv6 networks, the growth rate will continue to accelerate in the future. Although modern high performance ...

The latest increase in HTTP-based adaptive video streaming over the Internet enables a growing number of clients to compete for a shared bottleneck bandwidth. This competition may affect users’ Quality of Experience (QoE) negatively, especially in ...

In the last few years, the interest in knowledge bases has grown exponentially in both the research community and the industry due to their essential role in AI applications. Entity alignment is an important task for enriching knowledge bases. ...

Given the power efficiency and Tbps throughput of packet processing, several works are proposed to offload the decision tree (DT) to programmable switches, i.e., in-network intelligence. Though the DT is suitable for the switches’ match-action ...

Nowadays, the surge of Internet contents and the need for high Quality of Experience (QoE) put the backbone network under unprecedented pressure. The emerging edge caching solutions help ease the pressure by caching contents closer to users. However, ...

In spite of the tremendous development of recommender system owing to the progressive capability of machine learning recently, the current recommender system is still vulnerable to the distribution shift of users and items in realistic scenarios, ...