Multi-Granularity Crusher Design
MGSFformer: A Multi-Granularity Spatiotemporal Fusion …
We design three blocks to address three challenges in modeling air quality spatiotemporal data. Firstly, the RD block is designed to eliminate information redundancy among multi-granularity features. ... Multi-granularity modeling [56]: Compared with traditional time series modeling, the main difference of multi-granularity modeling is the ...
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MGT: Multi-Granularity Transformer leveraging multi-level …
To capture multi-relation and thus provide more accurate recommendation, in this paper we propose a Multi-granularity Transformer (MGT) for sequential recommendation task. In MGT, we propose a novel multi-granularity self-attention (MGSA) mechanism to jointly capture point-level and union-level sequential patterns.
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A multi-objective evolutionary algorithm approach for …
A multi-objective evolutionary algorithm has been developed that allows the crusher internal geometry to be created and evaluated against multiple performance …
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Novel Design of a Modular Multi-stage Crusher with …
66.2.1 Analysis of Existing Biomass Crushers. At present, there are mainly three types of straw crusher circulating in the market: hammer type, guillotine type, and screw type. Among them, the hammer type and the guillotine type use a hammer and a flying knife to form a cutting force to cut the straw; The machine has a large volume-to-power ratio and uses auger cutters for crushing …
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Towards Unified Multi-granularity Text Detection with …
Thanks to the multi-granularity detection framework design and the across-granularity interactive attention module, our DAT model is capable of generating high-quality pseudo labels for incomplete-granularity annotated datasets as demonstrated in Figure 5, more detailed analyses are provided in the Appendix.
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Multi-granularity attribute similarity model for user …
In light of the aforementioned challenges, our research proposes a comprehensive solution called the Multi-Granularity Attribute Similarity Model (MGASM): Firstly, we segment user texts into characters, words, articles, and labels based on user profiles and obtain the structural features of the users' network through user relationship analysis.
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Multi-object optimization design for differential and grading …
We have applied GA to optiize the crank-rocker mechanism of the differential and grading toothed roll crusher as a multi-object design. 4 Genetic algorithm Genetic algorithm …
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MVPN: Multi-granularity visual prompt-guided fusion …
Multimodal named entity recognition (MNER) aims at identifying entity spans and recognizing their categories in social media posts with the aid of images. Previous work on MNER often relies on an attention mechanism to model the interactions between the images and text representations. However, the inconsistency of feature representations of different modalities …
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Uncertainty instructed multi-granularity decision for large …
Hierarchical classification identifies a sample from the root node to a leaf node along the hierarchical structures of labels. It is often difficult to perform leaf-node prediction owing to ambiguous or incomplete information In such scenarios, a multi-granularity decision needs to be designed to stop the sample at a coarse-grained node rather than going rashly to a wrong …
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Sound Design Techniques & Tools Series: Part 10
15. accSone Crusher-X 8.5. Perhaps the most full-featured and slick granular synth processor, Crusher-X is designed for post production and sound design industry-grade granular processing. Not cheap, but arguably the very best …
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Product Granularity and Quality Control in Stone …
Jaw crusher, cone crusher, and impact crusher are the most commonly used types of stone crushers, and their final product shape may vary depending on the type of crusher, chamber design, setup, and feeding characteristics. Here is …
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Granular3D: Delving into multi-granularity 3D scene graph …
Focus on the multi-granularity analysis, HDSM hierarchically processes the sub-scene, encoding the point cloud at multiple scales to extract feature maps at both the instance and relationship stages. Next, features with different granularity are separated and aggregated according to the instance mask, with attribute encoding supplementing basic ...
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Development of a multi-granularity design support system …
In this paper, an improved new design support system characterized by multigranularity is proposed. Previous studies has focused on only visualization of non-dominated solutions (NDSs), but our method aims to perform a feature extraction and a problem analysis by employing hierarchical clustering and intergroup comparison. The most distinctive feature of our system …
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Modular design for optimum granularity with auto-generated …
Modular design for optimum granularity with auto-generated DSM and improved elbow assessment method. ... Based on a existing literature example and a jaw crusher modular design case, comparative studies are carried out to verify the effectiveness and practicality of the proposed method. ... a multi-granularity module partition approach for ...
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Attentive multi-granularity perception network for person …
In this paper, we introduce a novel Attentive Multi-granularity Perception (AMP) module seamlessly integrated into our AMPN network. This module specifically addresses appearance variations and occlusions within a person's Region of Interest (RoI). ... This design allows for better control over the richness of information and adaptability to ...
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Multi-granularity Hierarchical Feature Extraction for …
In this paper, we focus on the problem of multi-granularity and multi-level feature expression of text semantics in question and answer understanding, and design a question-answering understanding method for multi-granularity hierarchical features. First, we extract features from two aspects, the traditional language model and the deep matching ...
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Multi-granularity Score-based Generative Framework …
To address these challenges, we propose OrgMol-Design, a multi-granularity framework for efficiently designing complex organics. Our OrgMol-Design is composed of a …
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HPY Multi-cylinder Hydraulic Crusher
HPY cone crusher can be widely used in secondary and fine crushing work for all kinds of hard materials and rocks to meet customers' various needs for crushing. ... HPY Series Multi-cylinder Hydraulic Cone Crusher is one of advanced cone crushers in China, which is developed and manufactured by our company. The machine is one kind of high-class ...
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Advanced comminution modelling: Part 1 – Crushers
DEM models including breakage are capable of simulating industrial scale crushers. Compression and impact crushers can be investigated in detail using these …
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Multi-weight and multi-granularity fusion of underwater …
Step 4 obtain the multi-granularity fusion image F by up-sampling and reconstructing the Laplace pyramid F l. ... All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by shuqi wang, zhixiang chen and hui wang. The first draft of the manuscript was written by shuqi wang and ...
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HP Series Multi Cylinder Hydraulic Cone Crusher
Multi cylinder hydraulic cone crusher is developed on the basis of spring cone crusher, its basic structure is similar to the spring cone crusher. The difference between them is that the original 10-16 groups of springs are replaced by 10-16 safety cylinders. Multi-cylinder hydraulic cone crusher is composed of cylinder, piston, bracket and bolt.
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Modular design for optimum granularity with auto-generated …
Using this approach, a weighted complex network for mechanical parts (MP_WCN) was constructed. The multi-granularity module partition algorithm is presented based on MP_WCN. It consists of three ...
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A novel multi-source TWD model based on multi-granularity …
In Section 5, we give a novel multi-source TWIMADM model based on multi-granularity ball, and design the related algorithms. In order to validate the reasonableness, validity, and superiority of our proposed model, Section 6 and Section 7 present the case analysis and experimental analyses for the model, respectively. 2.
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Multi-granularity feature learning network for deep hashing
The proposed network is illustrated in Fig. 1, which is composed of three components: a global stream for capturing global-level features, a local stream for learning part-level features with different granularities, and a hashing stream for binarizing the fused multi-granularity features into hash codes.. Download: Download high-res image (541KB) ...
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MuGE: Multiple Granularity Edge Detection
Edge segmentation is well-known to be subjective due to personalized annotation styles and preferred granular-ity. However, most existing deterministic edge detection methods produce only a single edge map for one input image. We argue that generating multiple edge maps is more reasonable than generating a single one considering the subjectivity and ambiguity of …
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Multi-scale network via progressive multi-granularity …
The advantages of our MSMGA-Net are in three folds: Firstly, we design a multi-granularity attention (MGA) module locates the key regions with low stage finer granularity, and then shifts the attention to the key regions with coarse granularity; Secondly, a multi-scale convolution (MSC) module is constructed to effectively extract multi-scale ...
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A Personalized Course Recommendation Model Integrating Multi …
In this paper, we design an Integrating Multi-granularity Sessions and Multi-type Interests (IMSMI) model, which can construct user-course interaction sequences as multi-granularity sessions, and dynamically capture users' LS-term interests. IMSMI can effectively combine them with course interests through the attention mechanism and residual ...
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Multi-granularity siamese transformer-based change …
Multi-granularity siamese transformer-based change detection in remote sensing imagery. Author links open overlay panel Lei Song a, Min Xia a, Yao Xu a, ... In addition, the design of U-shaped network is often complicated. Therefore, we propose a simple but effective High Frequency Enhancement Unit (HFE), which effectively utilizes the ...
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M2Mol: Multi-view Multi-granularity Molecular …
The multi-view framework facilitates a nuanced and comprehensive understanding of molecules. M2Mol and HimGNN with superior performance explore coarse-grained and fine-grained knowledge, showcasing the advantage of multi-granularity frameworks for better generalization across diverse scenarios with varying data scales and molecular sizes.
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Multi-Granularity Probabilistic Rough Fuzzy Sets for Interval …
There are many generalized rough set methods available, including the IV-MG-PRFS models. When we consider the multi-granularity circumstances, the mean multi-granularity, optimistic multi-granularity, and pessimistic multi-granularity could be generated. Whether (x_{8}) needs to receive treatment depends on which model the doctors have chosen.
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