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Giáo trình Tiếng Anh chuyên ngành (Ngành: Quản trị mạng máy tính – Trình độ Trung cấp) gồm có những bài học: Unit 1: Computers today; Unit 2: Input/output devices; Unit 3: Storage devices; Unit 4: Basic software; Unit 5: Creative software; Unit 6: Programming; Unit 7: Computers tomorrow. Mời các bạn cùng tham khảo!
162p nienniennhuy00 28-10-2024 3 2 Download
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Giáo trình ABC (Ngành: Kỹ thuật sửa chữa lắp ráp máy tính – Trình độ Trung cấp) gồm có những đơn vị bài học sau: Bài mở đầu: Computers today computer applications; Chương 1: Input/output devices; Chương 2: Storage devices; Chương 3: Basic software; Chương 4: Creative software; Chương 5: Programming; Chương 6: Computers tomorrow. Mời các bạn cùng tham khảo để biết thêm những nội dung chi tiết!
127p nienniennhuy00 28-10-2024 1 1 Download
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In this study, an artificial neural networkbased Bayesian regularization (ANN) model is proposed to predict the compressive strength of concrete. The database in this study includes 208 experimental results synthesized from laboratory experiments with 9 input variables related to temperature change and design material composition.
12p viengfa 28-10-2024 2 2 Download
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In this study, the Machine Learning (ML) approach has been adopted using Random Forest (RF) model to estimate the CBR of the soil based on 10 input parameters such as Plasticity Index (PI), Liquid Limit (LL), Silt Clay content (SC), Fine Sand content (FS), Coarse sand content (CS), Optimum Water Content (OWC), Organic content (O), Plastic Limit (PL), Gravel content (G), and Maximum Dry Density (MDD), which can be easily determined in the laboratory.
14p viengfa 28-10-2024 6 2 Download
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Rubberized concrete is a material that is both ecologically friendly and sustainable, and it has been finding more and more usage in building applications recently. In this study, a machine learning model, namely LightGBM, is developed to predict rubberized concrete's compressive strength (CS) using 11 input parameters.
18p viengfa 28-10-2024 2 1 Download
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This study focuses on optimizing the hyperparameters of the XGB model by a grid search to find an optimal XGB predictive model. In addition, the effect of input parameters on the SCCRF's CS is studied using Shapley Additive exExplanations (SHAP) values technique.
14p viengfa 28-10-2024 3 2 Download
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In this paper, we used Convolution neural network (CNN) that exploits the visual properties of the input data to obtain features from network traffic, thereby achieving good intrusion detection performance.
11p viling 11-10-2024 1 1 Download
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Giáo trình Tiếng Anh chuyên ngành (Ngành: Quản trị mạng máy tính - Trình độ Cao đẳng) cung cấp các kiến thức thuộc lĩnh vực Tiếng Anh chuyên ngành, bao gồm các bài sau: Unit 1: Computers today; Unit 2: Input/output devices; Unit 3: Storage devices; Unit 4: Basic software; Unit 5: Creative software; Unit 6: Programming; Unit 7: Computers tomorrow. Mời các bạn cùng tham khảo giáo trình để biết thêm nội dung chi tiết!
178p xuanphongdacy10 04-10-2024 4 1 Download
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In this study, we propose a novel approach using the oscillation characteristics of the RMS current as the input to machine learning models, combined with the confident learning technique. Using the oscillation characteristics obtained by taking a discrete Fourier transform (DFT) of the RMS current as model input, we aim to reduce the computational requirements of the machine learning models.
12p viling 11-10-2024 2 1 Download
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This research proposes a new approach that leverages low-cost digital cameras and deep learning technology for counting and extracting rice grain traits. Our study introduces a preprocessing step to separate rice grain regions from the input image background using color space conversion.
8p viling 11-10-2024 1 1 Download
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This study shows the results of landslide susceptibility mapping for the southwest region of Quang Nam province using the Weights of Evidence (WoE) model. The input data consists of a landslide inventory and ten influencing factors, i.e., geology, distance to fault, elevation, relief amplitude, slope, aspect, rainfall, soil type, land use, and distance to road.
15p vibecca 01-10-2024 5 1 Download
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This study applies the GRU (Gated Recurrent Unit) model when selecting different values of batch-size, namely 16, 32, and 64, with varying epochs of 20, 50, 100, 150, and 200. The input data comprises observations collected by two GNSS CORS stations from the VNGEONET network, namely HYEN and CTHO, spanning from August 10, 2019, to March 18, 2022.
10p vibecca 01-10-2024 3 1 Download
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This article aims to discuss the concepts, theories, and practices of circular agriculture, and to draw recommendations for successful implementation. The findings reveal that circular agriculture focuses on promoting resource circularity in the agro-food value chain, minimizing external inputs, reducing resource requirements, regenerating bio-ecosystems, and reducing environmental impacts to meet increasing food demands and improve producers' livelihoods.
12p vibecca 01-10-2024 3 1 Download
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The main objective of this article is to propose refinements to the land policy and legal framework concerning the repurposing of protective and special-use forest land. A study collected input from 50 managers in two provinces(Quang Ninh and Lao Cai) to assess the appropriateness and direction of amendments to the land policy and laws on this matter.
10p viyoko 01-10-2024 7 1 Download
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The study advocates for the seamless integration of BIM, creating digital modeling that encompasses various input data, from geometry to costs. This integrated approach enhances real-time collaboration, mitigates errors during design, and streamlines construction processes by aiding scheduling, resource allocation, and progress monitoring.
6p viyoko 01-10-2024 2 1 Download
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Trong bài viết này, giải thuật điều khiển phi tuyến backstepping có tên tiếng Việt là bộ điều khiển cuốn chiếu được đề xuất để điều khiển hệ thống phi tuyến Pendubot. Pendubot là hệ thống cánh tay robot thiếu dẫn động hai bậc tự do (2-DOF underactuated system) với một ngõ và nhiều ngõ ra (single input – multiple outputs), có độ phi tuyến cao và mô hình cơ khí không phức tạp.
11p vifaye 20-09-2024 8 1 Download
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This study constructed two predictive models using artificial neural networks to forecast the compressive strength based on input parameters including data on fly ash, silica fume and temperature (1); to predict the contents of fly ash and silica fume based on input parameters of compressive strength and working temperature (2).
16p vifaye 20-09-2024 1 1 Download
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Output-only methods based on machine/deep-learning algorithms are highly practical approaches for timely detecting potential damages in civil structures as they directly employ measured vibration signals but do not require exact knowledge of input loading nor the service interruption for manual inspection.
14p vifaye 20-09-2024 1 1 Download
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Salinity intrusion poses significant challenges to coastal regions worldwide. Reliable salinity prediction models can provide valuable information to mitigate the impact and influence of salinity intrusion. However, their accuracy relies mainly on the selected input variables and used optimal models. This study employs the Bayesian Model Averaging (BMA) algorithm to evaluate input variable importance and select the most reliable salinity prediction model.
15p vifaye 20-09-2024 1 1 Download
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Nội dung bài viết, tác giả trình bày cách tiếp cận quản lý đào tạo năng lực nghề nghiệp cho đội ngũ giáo viên mầm non ở các trường Đại học sư phạm theo tiếp cận mô hình CIPO của UNESCO. Đây là cách quản lý chất lượng những yếu tố thành phần gồm: Yếu tố đầu vào (Input); Yếu tố quá trình (Process); Yếu tố đầu ra (Output/Outcome) và được xem xét trong hệ thống giáo dục nghề nghiệp với yếu tố hoàn cảnh (Context) cụ thể.
11p gaupanda053 19-09-2024 1 1 Download