CNN model

Accurate forecasting of the electrical load is a critical element for grid operators to make well-informed decisions concerning electricity generation, transmission, and distribution. In this study, an Extreme Learning Machine (ELM) model was proposed and compared with four other machine learning models including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU).

10p viengfa 28-10-2024 2 1   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

This paper introduces the application of artificial intelligence to build a security control software system in local military units. This software system uses state-of-the-art convolutional neural networks (CNN SOTA) for facial recognition by testing two of the best facial recognition models currently available: the FaceNet model and the VGGFace model.

8p vifilm 11-10-2024 6 1   Download

In this paper, a Convolutional Neural Network (CNN) method is employed to classify the crack/noncrack aerial images captured on the surface of concrete structures. The CNN model was trained and validated using the available experimental data of 4000 previously published images.

4p vibecca 01-10-2024 1 1   Download

This study seeks to propose a method to automatically assess unsafe postures of lifting and carrying heavy objects by combining the RTMPose deep learning model to detect people from videos and a convolutional neural network (CNN) model to automatically extract, evaluate and classify the worker’s posture skeleton frames into two states “safe posture” and “unsafe posture”.

12p vifaye 20-09-2024 3 1   Download

Bài viết đề xuất một giải pháp có thể hỗ trợ bác sỹ hình ảnh phát hiện chính xác bệnh ung thư vú và phân loại ung thư khi chụp X-quang tuyến vú bằng cách sử dụng phương pháp huấn luyện end-to-end kết hợp với mô hình CNN state-of-the-art EfficientNetB3.

9p vijihyo2711 25-09-2021 36 2   Download

This paper demonstrates that for a CNN it is vice-versa, in which concatenation is better for CDR classification. To this end, we develop a CNN based model with multiple input concatenated for CDR classification. Experimental results on the benchmark dataset demonstrate its outperformance over other recent state-of-the-art CDR classification models.

6p tamynhan6 14-09-2020 16 4   Download