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Decomposition
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Recently, machine learning (ML) algorithms have proven to be highly effective tools for predicting structural damage. However, the data used in structural health monitoring often consists primarily of normal operational conditions or slight deviations from the original state, with a scarcity of data representing potentially dangerous conditions.
21p
viyamanaka
06-02-2025
1
1
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This paper aims to develop an effective method for reduction and decomposition on large matrices with low required computational resources and fast processing times. Our contribution is to design a PCA-SVD hybrid method that dividesthe feature extraction into two phases: PCA-based size reduction and SVD-based decomposition. In our method, PCA is first applied to a large matrix to extract its important components
5p
vibenya
31-12-2024
3
2
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The paper proposes an empirical VAR for the UK open economy in order to measure the effects of monetary policy shocks from 1981 to 2003. The identification of the VAR structure is based on short-run restrictions that are consistent with the general implications of a New Keynesian model. The identification scheme used in the paper is successful in identifying monetary policy shocks and solving the puzzles and anomalies regarding the effects of monetary policy shocks.
37p
pnq9292
14-03-2017
75
4
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Mục tiêu của bài giảng Công nghệ phần mềm: Thiết kế kiến trúc là nhằm giúp cho các bạn biết được thiết kế kiến trúc và tầm quan trọng của nó; quyết định thiết kế kiến trúc cần đưa ra; ba kiểu kiến trúc dành cho tổ chức, phân rã, và điều khiển (organisation, decomposition and control); kiến trúc tham khảo dùng để giao tiếp và so sánh kiến trúc.
39p
cocacola_06
04-11-2015
109
10
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In this paper, we investigate the relationship between second Hilbert coeficients and the index of reducibility of parameter ideals. We give some characterazations of Cohen-Macaulay rings via the above invariants.
8p
viprimi
16-12-2024
0
0
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Computing matrices is a crucial and prevalent topic in the field of data processing and artificial intelligence. One of the significant and effective methods for matrix manipulation is Singular Value Decomposition (SVD). Based on matrix computations using SVD, we can perform various complex operations such as dimensionality reduction, hidden information detection, optimization, and many other applications.
9p
viprimi
16-12-2024
3
1
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Chương 3 - Phân tích hệ thống hướng cấu trúc. Chương này gồm có những nội dung chính sau: Sơ đồ phân rã chức năng (Functional Decomposition Diagram - FDD), sơ đồ luồng dữ liệu (Data Flow Diagram - DFD), từ điển dữ liệu (Data Dictionary), đặc tả quá trình và quyết định có cấu trúc.
152p
tangtuy12
01-06-2016
250
22
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Chương 3 - Mô hình dữ liệu quan hệ (Phần 3). Những nội dung chính được trình bày trong chương này gồm có: Các bất thường trong một quan hệ (anomalies), phụ thuộc hàm (functional dependencies), khóa, sự tách lược đồ quan hệ (decomposition). Mời các bạn cùng tham khảo.
27p
lovebychance07
12-07-2021
21
4
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Bài giảng "Tính toán tiến hóa: Bài 9 - Multi-objective optimization" được biên soạn với các nội dung chính sau: Tối ưu đa mục tiêu; A multi-objective evolutionary algorithm based on decomposition. Mời các bạn cùng tham khảo bài giảng!
30p
kimphuong1001
11-02-2023
13
3
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The article presents the graphical analysis of economic indicators for 25 countries: GDP growth rate (%) and GDP per person employed (thousand US dollars) for the period from 1990 to 2016 by considering the supply chain strategy (SCS) and transparency. The authors carried out the decomposition of economic growth rates of selected countries according to the following factors: 1) extensive factors – the growth rate of the capital stock and the size of labor force; 2) intensive factors – R&D expenditures; 3) the dynamics of foreign direct investment in the country 4) supply chain strategy.
8p
longtimenosee09
08-04-2024
17
1
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The purpose of this thesis is to study and synthesize BiMO materials (M = V,Ti,Sn) by microwaveassisted chemical method, hydrothermal method, sol-gel method and evaluate their physical properties. The synthesized materials (Bi2Sn2O7 and Bi2Ti2O7) were investigated the photocatalytic activity in the decomposition of RhotaminB (RhB) under visible light.
28p
thebadguys
08-06-2021
28
3
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The aim of research: Determination of greywater characteristics from some buildings in Hanoi city; Explaination of the principle of removing the main pollutants out of greywater by using laterite with multi soil layering engineering; Determination of decomposition rate coefficients of BOD5, COD and NH4 + -N. The number of laterite layer is calculated based on these coefficients; Successful greywater treatment from building by using laterite with Multi Soil Layering engineering and the treated effluent meet up the National Regulations
27p
dolphintaletale
23-04-2021
23
9
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Mục tiêu chính của luận án là phát triển một phương pháp hiệu quả để giải quyết các bài toán FSI. Trước tiên, phương pháp đã đề xuất sử dụng phương pháp IB để xử lý sự hiện diện của vật cản trong miền lưu chất bằng cách thay thế ảnh hưởng của vật cản bằng một thành phần lực cưỡng bức tác động lên miền lưu chất, khi đó miền tính toán xem như chỉ còn một miền lưu chất đơn nhất.
207p
capheviahe28
01-03-2021
32
3
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The thesis focused on the synthesis of Mn, Ce, C doped ZnO nanoparticles materials and doped ZnO with multi-layered carbon nanotube nanocomposite materials and assessed their photo-oxidative potentiality through photocatalytic reactions of methylene blue (MB) decomposition in aqueous solution under visible light.
30p
capheviahe27
23-02-2021
21
5
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Study the structural, morphological and physicochemical properties of synthetic materials by modern physical and chemical methods such as XRD, FTIR, SEM, TEM, XPS, EDX, BET, TG-DTA, UV -Vis; evaluation of photochemical catalyst using visible light in the decomposition of dyes RR-195, RY-145 on synthetic materials.
27p
capheviahe26
25-01-2021
47
3
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This dissertation focuses on establishing the process of manufacturing bimetallic Fe / Cu internal electrolysis nanomaterial, thereby studying some characteristics correlation between corrosive line and TNT decomposition kinetics and time. Setting and optimizing the internal electrolysis process by bimetal Fe / Cu nanomaterials combined with biological method A2O-MBBR (moving bed Biological reactor) to treat TNT wastewater at laboratory scale and Pilot scale at the scene.
27p
larachdumlanat129
20-01-2021
22
3
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Bài giảng Kiến trúc phần mềm - Tài liệu kiến trúc phần mềm cung cấp cho người học các kiến thức: Architecture documentation, documenting an architecture is good, component diagram, deployment diagram, component interfaces, component decomposition,... Mời các bạn cùng tham khảo.
16p
larachdumlanat
09-11-2020
26
4
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Evaluate domestic wastewater removal of the models combining constructed wetlands with stabilisation ponds. Determining the decomposition coefficients of some typical pollutants in domestic wastewater of constructed wetlands and stabilisation ponds with the natural conditions of Cau river basin. Proposing the technology models combining constructed wetlands with stabilisation ponds to treat domestic wastewater from suburban residential areas of Cau River basin met the standard of Column A of QCVN 14:2008/BTNMT.
28p
kequaidan7
01-09-2020
22
3
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A tensor is a multi-dimensional array and often considered as a generalization of a matrix. As a result, tensor representation gives a natural description of multi-dimensional data and hence tensor decomposition becomes a useful tool to analyze high-dimensional data. Moreover, tensor decomposition brings new opportunities for uncovering hidden and new values in the data.
24p
tamynhan0
04-07-2020
24
3
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In this thesis, motivated by the advantages of the generalized minimumnoise subspace (GMNS) method, recently proposed for array processing, we proposedtwo algorithms for principal subspace analysis (PSA) and two algorithms for tensor de-composition using parallel factor analysis (PARAFAC) and higher-order singular valuedecomposition (HOSVD).
68p
tamynhan0
04-07-2020
10
3
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