1.163   Artículos

 
en línea
CUYA Thamar M.,DAYRIT Amayna Shaene C.,CUYA-ANTONIO Olive Chester,PASCUAL Marilou P.,FRONDA Jennifer G.     Pág. 113 - 120
Graduate education plays a significant role in the development and the economy of the nation. Therefore, it is significant to evaluate the program it offers as they provide relevant contributions to their graduates? knowledge, skills, and ability in the ... ver más
Revista: IRA-International Journal of Management & Social Sciences    Formato: Electrónico

 
en línea
M.H.J.P. Gunarathna, Kazuhito Sakai, Tamotsu Nakandakari, Kazuro Momii and M.K.N. Kumari    
Poor data availability on soil hydraulic properties in tropical regions hampers many studies, including crop and environmental modeling. The high cost and effort of measurement and the increasing demand for such data have driven researchers to search for... ver más
Revista: Water    Formato: Electrónico

 
en línea
Xiu Li, Aron Henriksson, Martin Duneld, Jalal Nouri and Yongchao Wu    
Educational content recommendation is a cornerstone of AI-enhanced learning. In particular, to facilitate navigating the diverse learning resources available on learning platforms, methods are needed for automatically linking learning materials, e.g., in... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Lianlian He, Hao Li and Rui Zhang    
Recent advances in knowledge graphs show great promise to link various data together to provide a semantic network. Place is an important part in the big picture of the knowledge graph since it serves as a powerful glue to link any data to its georeferen... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Yuchen Dong, Heng Zhou, Chengyang Li, Junjie Xie, Yongqiang Xie and Zhongbo Li    
Camouflaged object detection (COD) is an arduous challenge due to the striking resemblance of camouflaged objects to their surroundings. The abundance of similar background information can significantly impede the efficiency of camouflaged object detecti... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Despoina Nteli, Maria Nteli, Konstantinos Konstantinidis, Anastasia Foka, Foteini Charisi, Iliana Michailidou, Sotiria Stavropoulou De Lorenzo, Marina Boziki, Maria Tzitiridou-Chatzopoulou, Evangelia Spandou, Constantina Simeonidou, Christos Bakirtzis and Evangelia Kesidou    
Argininemia or arginase-1 deficiency constitutes a rare, genetic, metabolic disorder caused by mutations in arginase 1?the last enzyme of the urea cycle?that hydrolyses L-arginine to ornithine and urea. The disease is associated with progressive developm... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ruicheng Gao, Zhancai Dong, Yuqi Wang, Zhuowen Cui, Muyang Ye, Bowen Dong, Yuchun Lu, Xuaner Wang, Yihong Song and Shuo Yan    
In this study, a deep-learning-based intelligent detection model was designed and implemented to rapidly detect cotton pests and diseases. The model integrates cutting-edge Transformer technology and knowledge graphs, effectively enhancing pest and disea... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete, Francisco J. Ribadas-Pena and Néstor Bolaños    
In the context of academic expert finding, this paper investigates and compares the performance of information retrieval (IR) and machine learning (ML) methods, including deep learning, to approach the problem of identifying academic figures who are expe... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jun Li, Chenyang Zhang, Jianyi Zhang and Yanhua Shao    
To address the challenge of balancing privacy protection with regulatory oversight in blockchain transactions, we propose a regulatable privacy protection scheme for blockchain transactions. Our scheme utilizes probabilistic public-key encryption to obsc... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Weiwei Yuan, Wanxia Yang, Liang He, Tingwei Zhang, Yan Hao, Jing Lu and Wenbo Yan    
The extraction of entities and relationships is a crucial task in the field of natural language processing (NLP). However, existing models for this task often rely heavily on a substantial amount of labeled data, which not only consumes time and labor bu... ver más
Revista: Agriculture    Formato: Electrónico

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