Dataset

This paper explores the applications of Big Data in business network analysis, focusing on how it enhances supply chain visibility, risk management, and demand forecasting. It also addresses challenges like data privacy, security, and managing large datasets.

11p vijiraiya 19-05-2025 1 1   Download

This study advances forest fire susceptibility mapping in Gia Lai province by leveraging optimized machine learning models.

13p vijiraiya 19-05-2025 1 1   Download

This article proposes a distributed algorithm to deal with this problem, called the distributed algorithm for sequential pattern mining on a large sequence dataset using dynamic vector bit structures on the MapReduce distributed programming model (DSPDBV).

10p visarada 28-04-2025 1 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).

16p visarada 28-04-2025 1 1   Download

The present study aims to explore the utilization of a depression symptom database, employing classical machine learning techniques, with a focus on the Random Forest algorithm alongside other methodologies, to assess and diagnose stress levels.

12p visarada 28-04-2025 1 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.

8p viling 11-10-2024 3 1   Download

In this paper, author uses 8-bit fixed-point quantization to greatly reduce the memory space requirement of the feature maps and weights and the accuracy of LeNet-5 with MNIST dataset is only slightly reduced. In the hardware accelerator, author proposes a highly flexible CNN accelerator with reconfigurable layers.

14p viling 11-10-2024 3 1   Download

This paper investigates the impact of word embedding techniques on enhancing SMS spam detection models. Traditional statistical methods (BoW, TF-IDF) are compared with advanced techniques (Word2Vec, fastText, GloVe, PhoBERT) using a proprietary dataset.

5p viengfa 28-10-2024 5 2   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.

6p viengfa 28-10-2024 3 2   Download

At present, artificial intelligence (Al) is one of the most rapidly developing fields in science and technology. In the modern context, Al technologies have become a highly researched area globally, leading to breakthrough technologies that enhance efficiency and effectiveness across various sectors, including environmental security.

15p viuzumaki 28-03-2025 4 1   Download

In recent years, the incidence and mortality rates due to cardiovascular diseases have been on the rise globally. This is the primary reason why the main objective of this topic is to investigate techniques aimed at solving the problem of heart disease diagnosis.

10p viuzumaki 28-03-2025 1 1   Download

Bài giảng "Máy học nâng cao: Python, jupyter notebook, kaggle" cung cấp cho người đọc các nội dung: Cài đặt Python 3 và IDE Pycharm, jupyter notebook, dịch vụ hỗ trợ deep learning và machine learning, kaggle datasets. Mời các bạn cùng tham khảo nội dung chi tiết.

48p myhouse06 24-03-2025 10 2   Download

To solve this problem, we use an improved genetic algorithm named GA-RT (Genetic Algorithm with Random Crossover and Negative Tournament Selection) and conduct experiments on the iMOPSE standard dataset. Experimental results show that the proposed GA-RT algorithm can effectively solve the project scheduling problem, achieving better performance compared to existing algorithms.

10p viaburame 14-03-2025 2 1   Download

This study seeks to comprehend the influencing factors on the economic growth of the pivotal economic region in the Southwest. The authors conducted research based on the dataset from four provinces and cities in the region during the period 2005-2022, employing panel data estimation methods such as OLS pooled regression, fixed effects (FEM), and random effects (REM).

7p viengfa 28-10-2024 1 1   Download

In this study, 2D-QSAR analysis and molecular docking were performed to investigate the relationship between the hydroxamatebased HDAC inhibitors with benzimidazole scaffold and the activity toward HDAC6. A dataset of 55 N-hydroxybenzamide, Nhydroxypropenamide derivatives containing benzimidazole structure with HDAC6 in vitro activity were collected.

8p vihyuga 04-03-2025 3 1   Download

This study aims to build a classifier for credit scoring based on deep learning. We use a credit scoring dataset publicly available on the UC Irvine Machine Learning Repository, a source of machine learning datasets commonly used by researchers.

7p viling 11-10-2024 3 1   Download

This study, therefore, investigated the determinants of the labor productivity of garment firms in Nam Dinh province. The data used for this study were extracted from the Enterprise Survey Dataset in 2021, and descriptive statistics, comparative analysis, and the Cobb-Douglas function in logarithm form were the major methods employed for the study.

9p vibecca 01-10-2024 5 2   Download

This study aimed to design novel Glutaminyl Cyclase (QC) inhibitors based on 2D-QSAR study, ligand-based pharmacophore modeling and molecular docking. A 2D-QSAR model was developed from a dataset of 1681 QC inhibitors by using Support Vector Regression (SVR) algorithm with 256-bit Morgan fingerprints.

17p vihyuga 04-03-2025 7 1   Download

Customer Churn is now becoming a significant problem in the banking sector. It is necessary to seek solutions to predict the rate of customer churn in banks; however, the dataset for customer churn prediction in banks is imbalanced. In this paper, Random Forest (RF) based on two popular resampling techniques, named SMOTE and ADASYN, are used to obtain a banking customer churn prediction model.

6p viyamanaka 06-02-2025 7 2   Download

In this paper, we propose a novel facial wrinkle segmentation method based on the Unet++ model, enhanced with dice and focal loss functions. Our approach begins with the construction of an enriched wrinkle dataset sourced from the Flickr-Faces-HQ dataset, ensuring diversity in wrinkle types and complexities.

7p viyamanaka 06-02-2025 4 2   Download