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Xem 1-20 trên 229 kết quả Data base
  • Bài thuyết trình Ứng dụng khai thác dữ liệu (Data Mining and Application): Density-based Method giới thiệu về nhóm phương pháp phân cụm dựa trên mật độ trong khai thác dữ liệu. Bài thuyết trình phân tích khái niệm, đặc điểm, chỉ số đánh giá và ứng dụng thực tế của nhóm phương pháp này. Đây là hướng tiếp cận hiệu quả để phát hiện các cụm có hình dạng phức tạp và không đồng đều. Mời các bạn cùng tham khảo để biết thêm chi tiết!

    pdf34p hoatrongguong03 15-05-2025 0 0   Download

  • Bài thuyết trình Ứng dụng khai thác dữ liệu (Data Mining and Application): Density-based Anomaly Detection tập trung vào các phương pháp phát hiện bất thường dựa trên phân tích mật độ điểm dữ liệu. Bài thuyết trình trình bày khái niệm, kỹ thuật đánh giá mật độ và các phương pháp đề xuất có tính ứng dụng cao. Đây là hướng tiếp cận hiệu quả trong môi trường dữ liệu có phân bố không đồng đều. Mời các bạn cùng tham khảo để biết thêm chi tiết!

    pdf25p hoatrongguong03 15-05-2025 2 1   Download

  • Bài thuyết trình Ứng dụng khai thác dữ liệu (Data Mining and Application): Market Basket Analysis Based on RFM Analysis trình bày phương pháp phân tích hành vi mua hàng thông qua kết hợp giữa RFM và phân tích giỏ hàng. Bài thuyết trình tập trung vào việc hiểu thói quen tiêu dùng và từ đó đưa ra chiến lược tiếp thị hiệu quả. Đây là một ứng dụng phổ biến trong thương mại điện tử và bán lẻ. Mời các bạn cùng tham khảo để biết thêm chi tiết!

    pdf54p hoatrongguong03 15-05-2025 1 1   Download

  • Bài thuyết trình Ứng dụng khai thác dữ liệu (Data Mining and Application): DNN-Based Anomaly Detection trình bày cách ứng dụng mạng nơ-ron sâu trong việc phát hiện bất thường. Nội dung bao gồm các thuật toán phổ biến, mô hình autoencoder, Anogan và các tình huống áp dụng thực tế. Đây là phương pháp hiện đại giúp tăng cường độ chính xác trong việc phân tích bất thường dữ liệu phức tạp. Mời các bạn cùng tham khảo để biết thêm chi tiết!

    pdf42p hoatrongguong03 15-05-2025 1 0   Download

  • In this paper, we propose a single-step Deep Neural Network (DNN) for CE, termed Iterative Sequential DNN (ISDNN), inspired by recent developments in data detection algorithms. ISDNN is a DNN based on the projected gradient descent algorithm for CE problems, with the iterative iterations transforming into a DNN using the deep unfolding method.

    pdf7p vijiraiya 19-05-2025 1 1   Download

  • This paper examines the current use of Al in higher education in general, and among students at Hanoi University of Industry (HaUI) in particular. The current awareness, habits, usage patterns, challenges, and ethical concerns surrounding Al in academic environments are explored based on data collected through a student survey.

    pdf6p vijiraiya 19-05-2025 1 1   Download

  • To examine how phase angle (PhA) contributes to sarcopenia and factors influencing sarcopenia in patients with stable ischemic heart disease (SIHD). Methods: A cross-sectional descriptive study was conducted on 52 SIHD patients who were recruited, and relevant data was gathered. Patients were diagnosed with sarcopenia based on the Asian Sarcopenia Working Group 2019 (AWGS 2019) diagnostic criteria.

    pdf9p vimitsuki 06-05-2025 1 1   Download

  • This study is aimed to identify how first-year English-majored students at a Vietnam university might use notetaking to enhance their Englishlanguage receptive skills. In order to achieve this objective, data from a focus group interview of three research participants were collected and analysed through theme-based coding methods.

    pdf7p visarada 28-04-2025 2 2   Download

  • The author has researched the hot trend speech patterns (new trends) that young people often use on Facebook and surveyed the characteristics of the origin, linguistic characteristics, and socio-cultural characteristics of this new language. The author used qualitative and quantitative research methods from the data source, which are hot trend words and sentence patterns in chats, articles, and comments on Facebook.

    pdf9p visarada 28-04-2025 2 1   Download

  • This study focuses on developing a machine learning model through the process of analyzing. comparing, and evaluating the performance of five models: AdaBoost, Decision Tree, RandomForest, ExtraTree, and BernoulliNB. All models are implemented using the "Predict Student Dropout Dataset." Based on the results obtained after processing the data, the study will conduct an analysis based on two main criteria: evaluation by average percentage, standard deviation, and final outcomes, as well as evaluation using a time-series model of age (Balanced Accuracy Progression).

    pdf16p visarada 28-04-2025 1 1   Download

  • This project presents a facial recognition-based time-tracking system that aims to improve the process of monitoring employee attendance. The system utilizes the LBPH (Local Binary Patterns Histograms) algorithm to collect and analyze facial data in real-time, allowing for accurate identification of individuals even in varying lighting conditions and from different angles.

    pdf10p visarada 28-04-2025 1 1   Download

  • The right Red river dyke has a crucial role to protect Hanoi capital from flooding. This study aims at evaluating the liquefaction potential of dyke foundation of right Red river dyke, from K73+500 to K74+100 based on the geotechnical investigation data (WRU, 2015).

    pdf3p vimaito 11-04-2025 1 1   Download

  • This study develops a decision support system, named Academic Quality Assurance, for supporting the analyzing of data collected from multiple semesters. The system focuses on assisting users in filtering data based on semesters, courses, departments, and programs, and then visualizing the data, providing comparisons.

    pdf13p viling 11-10-2024 4 1   Download

  • This paper introduces a new clustering technique based on granular computing. In tradional clustering algorithms, the integration of the high shaping capability of the existing datasets becomes fussy which in turn results in inferior functioning.

    pdf8p viling 11-10-2024 3 1   Download

  • Data was analyzed based on color-coded themes, which results in four significant findings: (1), the diversity of children’s oral language functions; (2), the Participant and Spectator roles of language in connection to embedded speech and displaced speech; (3), the interaction of Girl Talk and Boy Talk; and (4), the children’s peer support through Zone of Proximal Development.

    pdf11p viling 11-10-2024 2 1   Download

  • This paper aims to examine the patterns of codeswitching instances in a Vietnamese TV show called “Người Ấy Là Ai” (Who is Single?). Data presented in this paper was gathered from a 138-minute episode in the show and then analysed based on the framework of Poplack (1980).

    pdf11p viling 11-10-2024 3 0   Download

  • Low-rank representation (LRR) plays a significant role in image classification tasks due to its ability to capture the underlying structure and variations in image data. However, traditional low-rank representation-based dictionary learning methods struggle to leverage discriminative information effectively.

    pdf9p viling 11-10-2024 4 1   Download

  • This paper is structured as follows. The following section presents related work. Section 3 summarizes the characteristics of the two datasets utilized in the model and the system’s overall architecture for image-based disease diagnosis. Section 4 provides our experimental results that compare the performance metrics with other studies.

    pdf6p viengfa 28-10-2024 3 2   Download

  • Sentiment Analysis and Opinion Mining have emerged as highly popular fields for analyzing and extracting valuable information from textual data sourced from diverse platforms like Facebook, Twitter, and Amazon. These techniques hold a crucial role in empowering businesses to actively enhance their strategies by gaining comprehensive insights into customers' feedback regarding their products.

    pdf6p viengfa 28-10-2024 5 2   Download

  • High quality of service (QoS) requirements in multi-priority wireless sensor networks pose new challenges to the Internet of Things (IoT). In a multi-event wireless sensor network (MWSN), nodes generate different types of data packets with different priority such as urgent (high priority) or normal (low priority), with different traffic proportion.

    pdf10p viengfa 28-10-2024 3 2   Download

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