349   Artículos

 
en línea
Haiping Si, Mingchun Li, Weixia Li, Guipei Zhang, Ming Wang, Feitao Li and Yanling Li    
Apples, as the fourth-largest globally produced fruit, play a crucial role in modern agriculture. However, accurately identifying apple diseases remains a significant challenge as failure in this regard leads to economic losses and poses threats to food ... ver más
Revista: Agriculture    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
Shuangshuang Lai, Hailin Ming, Qiuyan Huang, Zhihao Qin, Lian Duan, Fei Cheng and Guangping Han    
The efficient management of commercial orchards strongly requires accurate information on plant growing status for the implementation of necessary farming activities such as irrigation, fertilization, and pest control. Crown planar area and plant number ... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Lingqi Kong and Shengquau Liu    
With the development of the Internet, vast amounts of text information are being generated constantly. Methods for extracting the valuable parts from this information have become an important research field. Relation extraction aims to identify entities ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jiawei Han, Qingsa Li, Ying Xu, Yan Zhu and Bingxin Wu    
Artificial intelligence-generated content (AIGC) technology has had disruptive results in AI, representing a new trend in research and application and promoting a new era of AI. The potential benefits of this technology are both profound and diverse. How... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Guy Austern, Tanya Bloch and Yael Abulafia    
The application of machine learning (ML) for the automatic classification of building elements is a powerful technique for ensuring information integrity in building information models (BIMs). Previous work has demonstrated the favorable performance of s... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Dejiang Wang, Quanming Jiang and Jinzheng Liu    
In the field of building information modeling (BIM), converting existing buildings into BIM by using orthophotos with digital surface models (DSMs) is a critical technical challenge. Currently, the BIM reconstruction process is hampered by the inadequate... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Achini Adikari, Su Nguyen, Rashmika Nawaratne, Daswin De Silva and Damminda Alahakoon    
The proliferation of online hotel review platforms has prompted decision-makers in the hospitality sector to acknowledge the significance of extracting valuable information from this vast source. While contemporary research has primarily focused on extra... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yafang Liu, Lu Zhang, Ye Tian, Weiwei Zhang, Junyue Tang, Jiahang Zhang, Zhangqing Duan and Jie Ji    
Martian rocks contain crucial information about the genesis of Mars and the historical evolution of Martian climate change. Consequently, extracting and examining Martian rocks are pivotal in advancing our comprehensive understanding of the red planet. H... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Chuanyun Xu, Hang Wang, Yang Zhang, Zheng Zhou and Gang Li    
Few-shot learning refers to training a model with a few labeled data to effectively recognize unseen categories. Recently, numerous approaches have been suggested to improve the extraction of abundant feature information at hierarchical layers or multipl... ver más
Revista: Applied Sciences    Formato: Electrónico

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