
Dataset
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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
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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
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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
4
2
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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
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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
3
0
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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
0
0
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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
8
1
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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
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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
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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
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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
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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
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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
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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
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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
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This paper presents a lightweight deep learning-based product object classification scheme designed for deployment on edge servers. Leveraging the ImageNet Large Scale Visual Recognition Challenge 2012 (ILSVRC2012) dataset, six classes relevant to product objects are selected for model training and evaluation.
7p
viyamanaka
06-02-2025
2
2
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This study introduces a practical and efficient methodology to improve the estimation of the ultimate axial bearing capacity of Pre-bored Grouted Planted Nodular (PGPN) piles, addressing a critical need in geotechnical engineering.
25p
viyamanaka
06-02-2025
3
2
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This study delves into the influence of dividend policies on the sustainable growth trajectories of corporations. By examining a comprehensive dataset spanning a decade and encompassing 300 publicly traded companies, we aim to decode the dynamics between dividend payout ratios and corporate reinvestment behaviors and their collective impact on growth.
5p
tuetuebinhan000
23-01-2025
5
2
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This study examines the impact of climate risks on banking stability across international emerging countries using a dataset of 1,857 bank-year observations from 18 countries. The Global Climate Risk Index (CRI) developed by Germanwatch is used to quantify economic damage and fatalities from extreme weather events while bank Z-score is employed to measure bank stability.
8p
tuetuebinhan000
23-01-2025
3
2
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Như đã đề cập thì CLR thực hiện quản lý bộ nhớ, quản lý thực thi tiểu trình, thực thi mã nguồn, xác nhận mã nguồn an toàn, biên bịch và các dịch vụ hệ thống khác. Những đặc tính trên là nền tảng cơ bản cho những mã nguồn được quản lý chạy trên CLR. Do chú trọng đến bảo mật, những thành phần được quản lý được cấp những mức độ quyền hạn khác nhau, phụ thuộc vào nhiều yếu tố nguyên thủy của...
125p
longqttbk50
27-10-2012
278
31
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