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Neural structures
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In this article, we propose a generative model based on the adversarial network structure to enhance images for the RAD-DAR multi-target dataset. The results of comparisons and evaluations indicate that the images generated by the proposed method exhibit a high degree of similarity to the original images.
7p
visergeyne
18-06-2024
2
0
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Text categorization aims to automatically assign given text passages or documents to predetermined categories or subjects. Despite the wide array of techniques employed in classifying English text, there remains a dearth of research on Vietnamese text classification. This paper introduces a novel approach utilizing a Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) with a deep network structure for Vietnamese text classification.
10p
viambani
18-06-2024
3
1
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This modeling is performed on an experimental data set of complexes, where the metal ions of these complexes include transition ion metals and lanthanide ion metals. We use these models to develop a series of new thiosemicarbazone and their complexes; simultaneously, the complexes are worked out the stability constants from the novel models.
9p
dianmotminh02
03-05-2024
4
1
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The taxonomic structure of microbial community sample is highly habitat-specific, making source tracking possible, allowing identification of the niches where samples originate. However, current methods face challenges when source tracking is scaled up.
17p
viellison
28-03-2024
2
2
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In this paper, a damage detection methodology for steel frame structures under fire load using time-history acceleration and machine learning (ML) is proposed. A randomly created dataset by finite element analysis (FEA) is utilized to develop deep neural networks (DNNs).
5p
vicwell
06-03-2024
7
3
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Part 1 book "Brain repair after stroke" includes content: Motor map plasticity - A neural substrate for improving motor function after stroke, molecular mechanisms of neural repair after stroke, behavioral influences on neuronal events after stroke, post-stroke recovery therapies in animals, environmental effects on functional outcome after stroke; functional and structural MR imaging of brain reorganization after stroke;... and other contents.
135p
muasambanhan08
23-02-2024
4
1
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This study aims to develop a theoretical model that examines the influence of trustee characteristics on customer trust, attitude, and willingness to buy, using the theory of reasoned action (TRA). A survey was conducted, collecting 200 valid questionnaires from customers in Vietnam who use Instagram, Facebook, Twitter, and TikTok.
20p
vibego
02-02-2024
4
0
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The molecular descriptors, physicochemical and quantum descriptors of complexes were generated from molecular geometric structure and semi-empirical quantum calculation PM7 and PM7/sparkle.
13p
vimarillynhewson
02-01-2024
3
0
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Ebook "Neural cell biology" delineates how systems biology, pharmacogenomic, and behavioral approaches, as applied to neurodevelopmental toxicology, provide a structure to arrange information in a biological model. The text reviews and discusses approaches that can be used as effective tools to dissect mechanisms underlying pharmacological and toxicological phenomena associated with the exposure to drugs or environmental toxicants during development.
348p
lucchinguyen
28-12-2023
7
2
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Many patients treated for breast cancer (BC) complain about cognitive difficulties affecting their daily lives. Recently, sleep disturbances and circadian rhythm disruptions have been brought to the fore as potential contributors to cognitive difficulties in patients with BC. Yet, studies on these factors as well as their neural correlates are scarce.
12p
vileonardodavinci
23-12-2023
4
3
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The survey starts by reviewing basic concepts on graph theory and graph signal processing. Next, we provide systematic categorization of graph learning methods to address two aspects above respectively. Finally, we conclude our paper with discussions and open issues in research and practice.
21p
visystrom
22-11-2023
8
5
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The shear strength of corroded reinforced concrete (CRC) beams is a critical consideration during the design stages of RC structures. In this study, we propose a machine learning technique for estimating the shear strength of CRC beams across a range of service periods.
12p
visharma
20-10-2023
9
4
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Ebook "Evolutionary computation for modeling and optimization" includes content: An overview of evolutionary computation, designing simple evolutionary algorithms, optimizing real valued functions, sunburn - coevolving strings, small neural nets - symbots, evolving finite state automata, ordered structures, plus one recall store,... and other contents.
578p
haojiubujain07
20-09-2023
9
3
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In this paper, a novel algorithm is proposed for the recognition of human faces and temperature using deep learning methods and thermal face images. The search-based method is developed for selection of an optimal structure and parameters of the convolutional neural network using the thermal images as the input.
6p
viannee
02-08-2023
5
3
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In this paper, the development progress of a collaborative robot is presented in industrial fields: namely Vietcobot. The cobot actuator is designed as an integrated joint of hollow style which is a key part of the cobot development.
13p
viannee
02-08-2023
12
7
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Estimating punching shear capacity (PSC) of steel fibre reinforced concrete slabs (SFRCS) is a crucial task in structural design. This study investigates the performances of artificial neural networks trained by the adaptive moment estimation (Adam) method in dealing with the task of interest. To alleviate overfitting problem, decoupled weight decay (AdamW) and L2 regularization (AdamL2) are used. A dataset including 140 samples has been used to train and verify the machine learning approaches.
5p
nhanchienthien
25-07-2023
6
3
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In this paper, an analysis of nearly 400 students’ records across 7 semesters of the same major in Hanoi University of Science and Technology is presented. Because of the university privacy policy, it is impossible to obtain students information other than their academic results.
5p
vifalcon
18-05-2023
5
2
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In this paper, the CNN-based model was developed to identify crack/non-crack images collected on the surface of a concrete structure. The CNN model was adapted from the pre-trained, open-sourced model developed by Google and distributed through TensorFlow.
4p
vifalcon
16-05-2023
10
4
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Screening of physicochemical properties should be considered one of the essential steps in the drug discovery pipeline. Among the available methods, biomimetic chromatography with an immobilized artificial membrane is a powerful tool for simulating interactions between a molecule and a biological membrane.
8p
viginny
23-12-2022
6
2
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Lecture Introduction to Machine learning and Data mining: Lesson 8. This lesson provides students with content about: supervised learning; artificial neural network; structure of a neuron; activation function - hard-limited; rectified linear unit;... Please refer to the detailed content of the lecture!
68p
hanlamcoman
26-11-2022
11
4
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