Computer science and cybernetics
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Continued part 1, part 2 of ebook "Similarity and modeling in science and engineering" includes the following main contents: Chapter 7 - Physical analogues; Chapter 8 - Deterministic computer models; Chapter 9 - Stochastic computer models; Chapter 10 - Cybernetic models; Appendix - Physical quantities and constants;...
235p khuynhlinhnguyet1009 05-04-2024 2 1 Download
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Semantic extraction from images is a topical problem and is applied in many different semantic retrieval systems. In this paper, a method of image semantic retrieval is proposed based on a set of images similar to the input image. Since then, the semantics of the image are queried on the ontology by the visual word vector.
20p vimurdoch 18-09-2023 5 3 Download
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In line with that research trend, this paper proposes a hybrid algorithm combining particle swarm optimization with the simulated annealing technique (PSO-SA) to optimize the length of intervals to improve forecasting accuracies.
19p vimurdoch 18-09-2023 6 4 Download
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MDS (maximum distance separable) matrices are ones that come from MDS codes that have been studied for a long time in error correcting code theory and have many applications in block ciphers. To improve the security of block ciphers, dynamic block ciphers can be created. Using MDS matrix transformations is a method used to make block ciphers dynamic.
11p vimulcahy 18-09-2023 6 4 Download
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This study presents a reinforced technique for mining frequent fuzzy sets based on cellular learning automata (CLA). The results demonstrate that frequent set mining can be accomplished with less running time when the proposed method is compared to iMFFP and NPSFF methods.
18p vimulcahy 18-09-2023 5 4 Download
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This study focus on the image captioning problem in Vietnamese. In detail, an empirical study of grid-based and region-based feature extraction approaches using current state-of-the-art object detection methods is investigated to explore the suitable way to represent the images in the model space.
20p vimulcahy 18-09-2023 5 4 Download
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Nowadays, Software-defined Networking (SDN) is increasingly being deployed in network systems and by network operators due to its benefits, such as automation leading to excellent reliability, more efficient network management, cost-savings, and faster scalability. This paper proposes an LSTM-based link cost prediction for the server and route selection mechanism in a distributed and heterogeneous SDN network.
21p vimulcahy 18-09-2023 6 4 Download
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Wi-Fi Fingerprinting based Indoor Positioning System (IPS) aims to help locate and navigate users inside buildings. It has become a popular research topic in recent years with two goals of removing redundant data and increasing positioning accuracy and it has produced acceptable results. In this paper, we propose a feature reduction method and apply a machine learning model that combines two-phases.
27p vimulcahy 18-09-2023 5 4 Download
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The prediction of weather changes, such as rainfall, clouds, floods, and storms, is critical in weather forecasting. In this paper, we present a novel method for weather nowcasting based on Mamdani complex fuzzy inference with multiple band input data.
18p vimulcahy 18-09-2023 4 4 Download
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This paper analyses the combination of IMU sensors and electromyography sensors (EMG) to improve the identification accuracy of human movements. We propose the hybrid convolutional neural network (CNN) and long short-term memory neuron network (LSTM) for the human gait analysis problem to achieve an accuracy of 0.9418, better than other models including pure CNN models.
18p vimulcahy 18-09-2023 6 4 Download
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Big data processing is attracting the interest of many researchers to process large-scale datasets and extract useful information for supporting and providing decisions. One of the biggest challenges is the problem of querying large datasets. It becomes even more complicated with similarity queries instead of exact match queries.
24p vimulcahy 18-09-2023 7 3 Download
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In this paper, we experimented with and proposed several methods for building and improving models for the VL to VSL translation task. We presented a data augmentation method to improve the performance of our neural machine translation models.
16p vimulcahy 18-09-2023 5 3 Download
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Lung cancer is one of the most serious cancer-related diseases in Vietnam and all over the world. In this paper, we follow the direction of datacentric approach for lung nodule detection by proposing a data-centric method to improve detection performance of lung nodules on CT scans.
15p vimulcahy 18-09-2023 3 2 Download
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Attribute reduction is one important part researched in rough set theory. A reduct from a decision table is a minimal subset of the conditional attributes which provide the same information for classification purposes as the entire set of available attributes.
16p vimulcahy 18-09-2023 3 2 Download
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This study presented an improved adaptive nonlinear terminal sliding mode control technique for the manipulator robot to achieve better adaptability and faster finite-time convergence. First, an adaptive self-updating algorithm will be developed to relax the problems of fixed control gain for the main proposed controller.
10p vimulcahy 18-09-2023 6 4 Download
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This paper introduces an optimal tracking controller for robot manipulators with saturation torques. The robot model is presented as a strict-feedback nonlinear system. Firstly, the position tracking control problem is transformed into the optimal tracking control problem.
15p vimulcahy 18-09-2023 6 4 Download
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In this paper, we propose the Adapt-TTS model that allows high-quality audio synthesis from a small adaptive sample without training to solve these problems. The main contributions of the paper are: 1) The extracting mel-vector (EMV) architecture allows for a better representation of speaker characteristics and speech style; 2) An improved zero-shot model with a denoising diffusion model (mel-spectrogram denoiser) component allows for new voice synthesis without training with better quality (less noise).
15p vimulcahy 18-09-2023 5 4 Download
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Shrimp farming is one of the highest potential areas in the coastal provinces of Vietnam. The technical level of shrimp farming is developing strongly in the direction of high technology based on applying modern equipment and machinery.
16p vimulcahy 18-09-2023 3 3 Download
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The study stands on the standpoint that there exist close and essential relationships between real-world structures and their information provided to human beings in reality. The study gives a survey to summarize specific distinguishing fundamental features of HA-formalism, its applicability in problem-solving, and its performance and advantages.
40p vimulcahy 18-09-2023 6 4 Download
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Changes in surface water might result in natural disasters such as floods, water shortages, landslides, waterborne diseases, which lead to loss of lives. Timely extracting for surface water and predicting its movement is essential for planning activities and decision-making processes.
18p vimulcahy 18-09-2023 7 3 Download