Recent studies have demonstrated the great power of Transformer models for time series
forecasting. One of the key elements that lead to the transformer's success is the channel …

Time series analysis is ubiquitous and important in various areas, such as Artificial
Intelligence for IT Operations (AIOps) in cloud computing, AI-powered Business Intelligence …

Predictive autoscaling is a key enabler for optimizing cloud resource allocation in Alibaba
Cloud's computing platforms, which dynamically adjust the Elastic Compute Service (ECS) …

In the most popular serverless platform-Knative, dynamic resource allocation is implemented
using horizontal auto-scaling algorithms to create or delete service instances based on …

Autoscaling is a critical mechanism in cloud computing, enabling the autonomous
adjustment of computing resources in response to dynamic workloads. This is particularly …

The surging demand for cloud computing resources, driven by the rapid growth of
sophisticated large-scale models and data centers, underscores the critical importance of …

Cognitive Behavioral Therapy (CBT) for tinnitus alleviates psychological discomfort caused
by severe tinnitus symptoms. During CBT, the patients will have various homework …

The popularity of serverless computing has been fueled by its operational simplicity, pay-per-
use pricing model, and the ability to autoscale. However, there is a lack of comprehensive …

Invariance learning methods aim to learn invariant features in the hope that they generalize
under distributional shifts. Although many tasks are naturally characterized by continuous …

The analysis and improvement of the maximum displacement of reinforced concrete (RC)
beams under impact loads are pivotal in augmenting their impact resistance. The present …