Deep learning

In this study, we explore the potential of graph neural networks (GNNs), in combination with transfer learning, for the prediction of molecular solubility, a crucial property in drug discovery and materials science. Our approach begins with the development of a GNN-based model to predict the dipole moment of molecules.

8p viling 11-10-2024 1 1   Download

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 3 1   Download

The process of neural stem cell (NSC) differentiation into neurons is crucial for the development of potential cell-centered treatments for central nervous system disorders. However, predicting, identifying, and anticipating this differentiation is complex. In this study, we propose the implementation of a convolutional neural network model for the predictable recognition of NSC fate, utilizing single-cell brightfield images.

7p viengfa 28-10-2024 2 2   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 4 2   Download

In this paper, we propose an effective AMC using deep learning (DL) for flexible and adaptive OFDM-based optical networks. The proposed DL-based AMC is able to classify four typical modulation schemes such as binary phase-shift keying (BPSK), quadrature PSK (QPSK), 8-PSK, and 16- quadrature amplitude modulation (QAM) in dynamic network conditions.

6p viengfa 28-10-2024 3 2   Download

In this article, we establish a Digital Radio over Fiber (DRoF) information system with two wireless channels utilizing two advanced phase modulation techniques, namely Differential Phase Shift Keying (DPSK), for the CRAN connection and investigate parameters related to nonlinearity such as refractive index n2.

6p viengfa 28-10-2024 4 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

This study proposes to test a combination model between CNN network and XGBoost algorithm for weather image classification problem. The proposed model uses deep learning network, namely CNN for feature extraction, then feeds the features into the XGBoost classifier to recognize the images.

6p viengfa 28-10-2024 1 1   Download

Despite certain advancements achieving high accuracy, current methods still require substantial improvements to be applicable in practical scenarios. Diverging from text detection in images/videos, this paper addresses the issue of text detection within license plates by amalgamating multiple frames of distinct perspectives.

10p viengfa 28-10-2024 6 2   Download

Artificial intelligence is gradually emerging as a method for optimizing various tasks, offering cost-saving and highly efficient solutions. Nowadays, Al is used as a general term for diverse tasks performed by computers. Fields like machine learning, deep learning, and data science, among others within this scope, are considered part of Al as long as they exhibit the characteristics of artificial intelligence.

12p viuzumaki 28-03-2025 2 0   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 8 1   Download

Bài giảng "Máy học nâng cao: Deep learning - An introduction" cung cấp cho người đọc các nội dung: Introduction, applications, convolutional neural networks vs. recurrent neural networks, hardware and software. Mời các bạn cùng tham khảo nội dung chi tiết.

109p myhouse06 24-03-2025 4 1   Download

Automatically identifying and understanding students' questions about problems they encounter or issues related to their universities is very important for universities to promptly grasp the aspirations of their students. This enables them to support and satisfy their students and enhance their reputation. Especially as social networks and online media continue to develop, students can easily post their questions and concerns online.

11p viaburame 14-03-2025 2 1   Download

Bài viết trình bày về cách sử dụng nhiều GPU để huấn luyện mô hình trong học sâu (Deep Learning). Chúng tôi khảo sát các chiến lược học sâu trên mạng nơ-ron tích chập (Convolutional Neural Network – CNN).

7p viling 11-10-2024 1 0   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 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 2 1   Download

This paper proposes an intelligent plastic waste detection and classification system based on the Deep Learning model and Delta robot. This system includes a Delta robot, a camera, a conveyor, a control cabinet, and a personal computer.

10p viinuzuka 28-02-2025 3 1   Download

This paper also discusses practical applications of object detection in satellite images, including environmental monitoring, resource management, and disaster response. Finally, the paper suggests potential future research directions, such as developing more efficient models, handling small objects, and leveraging diverse data sources.

9p vihyuga 20-02-2025 6 1   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

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   Download