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Multi-layers model
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Part 3 of ebook "Learning business English in China: The construction of professional identity" provides readers with contents including: Chapter 5 - Mode, access, and agency in participatory learning; Chapter 6 - Discursive construction of professional identity; Chapter 7 - Reception of students’ professional identity construction; Chapter 8 - Towards a model of learning business English and professional identity construction;...
167p
dongmelo
26-05-2024
5
3
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Ebook "Chemical bonds outside metal surfaces (Physics of solids and liquids)" focuses mainly on the theory and concepts involved; however, it is intended for readers in chemistry, physics, and materials science who are not specialists in theory but nevertheless wish to learn more about this truly interdisciplinary area of theoretical science. The aim of the book is to present the way in which valence theory can be synthesized with the understanding of metals that has been gained over the last half century or so.
291p
coduathanh1122
27-03-2024
2
1
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Ebook "Neural networks - A comprehensive foundation" includes content: Introduction, learning processes; single layer perceptrons; multilayer perceptrons; radial basis function networks; support vector machines; committee machines; principal components analysis; self organizing maps; information theoretic models; stochastic machines and their approximates rooted in statistical mechanics; neurodynamic programming; temporal processing using feedforward networks; neurodynamics; dynamically driven recurrent networks.
823p
haojiubujain07
20-09-2023
6
2
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This paper proposes a Multilayer Feed forward Neural Network (MLFNN) for speech classification in a smart electric wheelchair, in which with extraction of speech commands is performed using a Mel Frequency Cepstral Coefficients (MMFC) method.
7p
vidoctorstrange
06-05-2023
7
4
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The generator model is used to simulate and test the response of nonlinear model of low voltage voltage multilayer varistor with standard impulses as specified in the international standards. The voltage multilayer varistor model has similar characteristics as the actual low voltage multilayer varistor of manufacturers and the necessary input parameters such as rated surge current, residual voltage and the number of voltage multilayer varistor elements in parallel.
8p
vidoctorstrange
06-05-2023
7
2
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Increasingly available multilayered omics data on large populations has opened exciting analytic opportunities and posed unique challenges to robust estimation of causal effects in the setting of complex disease phenotypes.
7p
vihagrid
30-01-2023
7
3
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The effective separation of many solutes, including pharmaceuticals, can be performed using an ion-pair reagent (IPR) in the mobile phase. However, chromatographic separation and mathematical modelling are a challenge in ionpair chromatography (IPC), especially in preparative mode, due to the complicated chromatographic process.
10p
viginny
23-12-2022
5
3
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We collected information on patients with rectal adenocarcinoma in the United States from the Surveillance, Epidemiology, and EndResults (SEER) database. We used this information to establish a model that combined deep learning with a multilayer neural network (the DeepSurv model) for predicting the survival rate of patients with rectal adenocarcinoma.
14p
vipriyankagandhi
27-07-2022
7
2
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In this work we investigated the nonlinear vibration of nanocomposite multilayer perovskite solar cell (NMPSC) subjected to the combination of mechanical and thermal loadings. The model of organic solar cell is assumed to consist seven functional layers: Au, SpiroOMeTAD, PEDOT:PSS, Graphene oxide, MAPbI3, TiO2 and IOT, and glass substrate.
14p
vimelindagates
18-07-2022
7
2
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CO2 adsorption capacities of activated carbon-based adsorbents subjected to different treatments, such as HNO3 oxidation, air oxidation, alkali impregnation, and heat treatment under helium gas atmosphere, were determined by gravimetric analyses and reported previously by our group. In the current work, the experimental adsorption isotherms of these modified activated carbon samples were fitted to Langmuir, Freundlich, and Dubinin–Radushkevich (D-R) models.
12p
langthannam
29-12-2021
7
0
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Gene expression is a key intermediate level that genotypes lead to a particular trait. Gene expression is affected by various factors including genotypes of genetic variants. With an aim of delineating the genetic impact on gene expression, we build a deep auto-encoder model to assess how good genetic variants will contribute to gene expression changes. This new deep learning model is a regression-based predictive model based on the MultiLayer Perceptron and Stacked Denoising Auto-encoder (MLP-SAE).
11p
vilarryellison
29-10-2021
21
1
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Omics profiling is now a routine component of biomedical studies. In the analysis of omics data, clustering is an essential step and serves multiple purposes including for example revealing the unknown functionalities of omics units, assisting dimension reduction in outcome model building, and others. In the most recent omics studies, a prominent trend is to conduct multilayer profiling, which collects multiple types of genetic, genomic, epigenetic and other measurements on the same subjects. In the literature, clustering methods tailored to multilayer omics data are still limited.
13p
vibeauty
23-10-2021
3
0
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So sánh kết quả của việc sử dụng các mạng nơ ron: The Cerebellar Model Articulation Controller (CMAC), Multilayer perceptron (MLP), Support Vector Machine (SVM) để phát hiện các cuộc tấn công DoS trên tập dữ liệu UNSW-NB15. Kết quả thử nghiệm cho thấy các mạng nơ ron là công cụ hiệu quả để phát hiện các cuộc tấn công DoS tuy nhiên mạng nơ ron CMAC hoạt động nổi trội hơn so với hai mạng còn lại với xác suất phát hiện các cuộc tấn công cao hơn và xác suất báo động sai thấp hơn. Đề xuất phương pháp mới để giảm số thuộc tính đặc trưng dựa trên việc kết hợp phương pháp Random forest và mạng MLP.
5p
vijihyo2711
25-09-2021
18
1
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In this paper, we propose a multilayer neural network model for generating SpamAssassin rules which selects good features and optimize rule weights at the same time. The weighted rule set obtained from training this neural network can be applied directly in SpamAssassin. The experiments showed that our network is fast to train and the resulted rule set has comparable detection rates to previous rule generation methods.
8p
viaespa2711
31-07-2021
16
1
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Deep neural networks (DNN) are a particular case of artificial neural networks (ANN) composed by multiple hidden layers, and have recently gained attention in genome-enabled prediction of complex traits. Yet, few studies in genome-enabled prediction have assessed the performance of DNN compared to traditional regression models.
13p
vijeeni2711
30-06-2021
8
1
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In this paper, the authors propose a novel adaptive multilayer T-S fuzzy controller (AMTFC) with a optimize soft computing algorithm for a class of robust control uncertain nonlinear SISO systems. First, a new multilayer T-S fuzzy was created by combined multiple simple T-S fuzzy model with a sum function in the output. The multi-layer fuzzy model used in nonlinear identification has many advantages over conventional fuzzy models, but it cannot be created by the writer's experience or the trial and error method. It can only be created using an optimization algorithm.
13p
trinhthamhodang9
04-12-2020
15
2
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Shrimp farming is a key sector in economic development in Mekong Delta provinces. Unfortunately, there are many problems in shrimp farming, especially shrimp diseases which cause a considerable loss. Shrimp diseases are expressed through symptoms and manifestations of shrimp.
8p
quenchua9
20-11-2020
15
1
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. In the pile-soil model, the lateral load is located at the pile head including both lateral force and bending moment. The single pile is considered as a beam on elastic foundation while shear beams model the soil column below the pile toe. The differential equations governing pile deflections are derived based on the energy principles and variational approaches.
14p
cothumenhmong8
04-11-2020
10
1
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Blockage of some ion channels and in particular, the hERG (human Ether-a’-go-go-Related Gene) cardiac potassium channel delays cardiac repolarization and can induce arrhythmia. In some cases it leads to a potentially life-threatening arrhythmia known as Torsade de Pointes (TdP).
10p
viconnecticut2711
29-10-2020
13
0
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Characterizing the modular structure of cellular network is an important way to identify novel genes for targeted therapeutics. This is made possible by the rising of high-throughput technology. Unfortunately, computational methods to identify functional modules were limited by the data quality issues of high-throughput techniques.
15p
vijisoo2711
27-10-2020
10
0
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