|
|
|
|
|
María J. Verdú, Luisa M. Regueras, Juan P. de Castro and Elena Verdú
Learning Management Systems provide teachers with many functionalities to offer materials to students, interact with them and manage their courses. Recognizing teachers? instructing styles from their course designs would allow recommendations and best pr...
ver más
|
|
|
|
|
|
|
|
|
Gabriella Monteiro, Leonardo Camelo, Gustavo Aquino, Rubens de A. Fernandes, Raimundo Gomes, André Printes, Israel Torné, Heitor Silva, Jozias Oliveira and Carlos Figueiredo
Recent advancements in Artificial Intelligence (AI), deep learning (DL), and computer vision have revolutionized various industrial processes through image classification and object detection. State-of-the-art Optical Character Recognition (OCR) and obje...
ver más
|
|
|
|
|
|
|
|
|
Hua Yang, Shuxiang Zhang, Hao Shen, Gexiang Zhang, Xingquan Deng, Jianglin Xiong, Li Feng, Junxiong Wang, Haifeng Zhang and Shenyang Sheng
Text classification is one of the fundamental tasks in natural language processing and is widely applied in various domains. CNN effectively utilizes local features, while the Attention mechanism performs well in capturing content-based global interactio...
ver más
|
|
|
|
|
|
|
|
|
Mengran Zhou, Xiaokang Yao, Ziwei Zhu and Feng Hu
A prerequisite for refined load management, crucial for intelligent energy management, is the precise classification of electric loads. However, the high dimensionality of electric load samples and poor identification accuracy of industrial scenarios mak...
ver más
|
|
|
|
|
|
|
|
|
Rui Zhu, Bo Liu, Ruwen Zhang, Shengxiang Zhang and Jiuxin Cao
The constantly updating big data in the ocean engineering domain has challenged the traditional manner of manually extracting knowledge, thereby underscoring the current absence of a knowledge graph framework in such a special field. This paper proposes ...
ver más
|
|
|
|