366   Artículos

 
en línea
Xuejing Xie, Yongyang Xu, Bin Feng and Wenjun Wu    
The classification of urban functional areas is important for understanding the characteristics of urban areas and optimizing the utilization of urban land resources. Existing related methods have improved accuracy. However, they neglect cognitive differ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Ching-Lung Fan    
The emergence of deep learning-based classification methods has led to considerable advancements and remarkable performance in image recognition. This study introduces the Multiscale Feature Convolutional Neural Network (MSFCNN) for the extraction of com... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Huile Zhang, Zeyu Sun, Pengpeng Zhi, Wei Wang and Zhonglai Wang    
This paper develops a material-structure integrated design and optimization method based on a multiscale approach for the lightweight design of CFRP car doors. Initially, parametric modeling of RVE is implemented, and their elastic performance parameters... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ping Huang and Yafeng Wu    
Airborne speech enhancement is always a major challenge for the security of airborne systems. Recently, multi-objective learning technology has become one of the mainstream methods of monaural speech enhancement. In this paper, we propose a novel multi-o... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Zhou Fang, Xiaoyong Wang, Liang Zhang and Bo Jiang    
Currently, deep learning is extensively utilized for ship target detection; however, achieving accurate and real-time detection of multi-scale targets remains a significant challenge. Considering the diverse scenes, varied scales, and complex backgrounds... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Zhichao Chen, Hongping Zhou, Haifeng Lin and Di Bai    
The tea industry, as one of the most globally important agricultural products, is characterized by pests and diseases that pose a serious threat to yield and quality. These diseases and pests often present different scales and morphologies, and some pest... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Adil Redaoui, Amina Belalia and Kamel Belloulata    
Deep network-based hashing has gained significant popularity in recent years, particularly in the field of image retrieval. However, most existing methods only focus on extracting semantic information from the final layer, disregarding valuable structura... ver más
Revista: Information    Formato: Electrónico

 
en línea
Minghu Wu, Chengpeng Yue, Fan Zhang, Rui Sun, Jing Tang, Sheng Hu, Nan Zhao and Juan Wang    
The state of health (SOH) and remaining useful life (RUL) of lithium-ion batteries are critical indicators for assessing battery reliability and safety management. However, these two indicators are difficult to measure directly, posing a challenge to ens... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Lei Jin, Shaodan Chen and Mengfan Liu    
Drought, as a recurring extreme climatic event, inflicts diverse impacts on ecological systems, agricultural productivity, water resources, and socio-economic progress globally. Discerning the drought patterns within the evolving environmental landscape ... ver más
Revista: Water    Formato: Electrónico

 
en línea
Chenxi Liu, Zhenghong Peng, Lingbo Liu and Hao Wu    
Amid the global shift towards sustainable development, this study addresses the burgeoning electric vehicle (EV) market and its infrastructure challenges, particularly the lag in public charging facility development. Focusing on Wuhan, it utilizes big da... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

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