The spatial heterogeneity is an important indicator of the malignancy of lung nodules in lung
cancer diagnosis. Compared with 2D nodule CT images, the 3D volumes with entire nodule …

Landslides frequently occur along the eastern margin of the Tibetan Plateau, which poses a
risk to the construction, maintenance, and transportation of the proposed Dujiangyan city to …

随着新型电力系统发展, 规模化灵活需求侧互动响应资源挖掘成为必然. 针对需求响应聚合商
缺少聚合用户需求响应历史数据时的潜力分析问题, 提出一种基于深度子领域自适应的需求响应 …

In this paper, we consider the distributed estimation problem of a linear stochastic system
described by an autoregressive model with exogenous inputs when both the system orders …

In recent years, adaptive filtering algorithms based on M-estimation can effectively handle
non-Gaussian noise, but large outliers still exist which will seriously disrupt the performance …

To better perform distributed estimation, this paper, by combining the Fair cost function and
adapt-then-combine scheme at all distributed network nodes, a novel diffusion adaptive …

In this article, a distributed stochastic gradient (SG) algorithm is proposed where the
estimators are aimed to collectively estimate an unknown time-invariant parameter from a …

In this paper, we consider the distributed filtering problem over sensor networks such that all
sensors cooperatively track unknown time-varying parameters by using local information. A …

In the dynamically evolving landscape of cybersecurity, safeguarding IT infrastructures has
emerged as an imperative to thwart the escalation of cyber-attacks. Anomaly-based Intrusion …

In order to enhance the classification accuracy and the generalization performance of the
SVM classifier in cable partial discharge (PD) pattern recognition, a firefly optimized sparrow …