
Visual State Space Model for Image Super-Resolution
2024年12月26日 · To address these challenges effectively, we propose the dense-residual-connected mamba (DRCM) for SR. The DRCM overcomes the limitations of CNN and provides new advanced modeling capabilities akin to those of Transformers by utilizing global receptive fields and dynamic weighting mechanisms.
Assessing long-term trends in vegetation cover change in the Xilin ...
2024年1月1日 · Using set reference levels and spatial distribution results, trends of regional grassland degradation and restoration are evaluated. The DRCM model can efficiently and accurately monitor vegetation cover changes continuously and realize the dynamic monitoring of grass cover changes.
Frontiers | DRCM: a disentangled representation network based …
2023年11月3日 · The DRCM uses the cross mutual information and adversarial objective methods to extract the common and exclusive features from multimodal medical images. These features capture the special characteristics inherent in multimodal images.
A dynamic rule-based classification model via granular computing
2022年1月1日 · In this paper, we propose a novel dynamic rule-based classification model named DRCM via GrC. The main contributions are as follows: (1) we analyse the mechanism of updating granular reducts and granular rules; (2) granular reducts are further used to design an incremental classification algorithm.
A dynamic rule-based classification model via granular computing
Concretely, we first give a theoretical analysis of updating granular reducts and granular rules and then present a novel dynamic rule-based classification model (DRCM) based on the updating mechanism. Finally, we discuss the feasibility of the proposed model and compare it with several popular classification algorithms.
Calculating process of DRCM maintenance model
The input of DRCM process are the failures that have been diagnosed and prognosis results whereas outputs are maintenance strategy which are determined by developed DRCM decision techniques ...
面向溯源的制造大数据确权模型研究及应用 - 豆丁网
2024年4月16日 · (2)针对数据权利的关键特征,构建数据确权DRCM(DataRightConfirmation. Model)模型。该确权模型包括:基本权利单元BRU(BasicRightUnit)模型、数据权. 利树DRT(DataRightTree)模型和数据资产DA(DataAsset)模型。首先对模型的主
Rolling Bearing Fault Diagnosis with Disentangled and Robust Causal Model
2023年3月13日 · A key innovation of the DRCM is to construct a causal model and a corresponding learning pipeline for rolling bearing fault diagnosis, which discards the confounding information from the specific distribution of the acquired data while accurately capturing the rolling bearing fault semantics.
drcm: Density of the RCM model in AEBilgrau/correlateR: Fast ...
2019年11月15日 · The density of the RCM model when the mean mu is non-zero. Used for the HDA analysis.
(PDF) A Dynamic RCM Analysis Method For Natural Gas
2015年9月24日 · In this paper, a new maintenance method, dynamic. reliability-centered maintenance (DRCM), is proposed for equipment management. It. suitable for maintenance of natural gas compressor stations. A...