192   Artículos

 
en línea
Jose M. Bernal-de-Lázaro     Pág. 74 - 81
This article summarizes the main contributions of the PhD thesis titled: "Application of learning techniques based on kernel methods for the fault diagnosis in Industrial processes". This thesis focuses on the analysis and design of fault diagnosis syste... ver más
Revista: Inteligencia Artificial    Formato: Electrónico

 
en línea
Han Lin Shang    
A key summary statistic in a stationary functional time series is the long-run covariance function that measures serial dependence. It can be consistently estimated via a kernel sandwich estimator, which is the core of dynamic functional principal compon... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Xialan He, Ting Wang and Wankou Yang    
Due to the limitations of traditional retinal blood vessel segmentation algorithms in feature extraction, vessel breakage often occurs at the end. To address this issue, a retinal vessel segmentation algorithm based on a modified U-shaped network is prop... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yongzhen Zhang, Yanbo Hui, Ying Zhou, Juanjuan Liu, Ju Gao, Xiaoliang Wang, Baiwei Wang, Mengqi Xie and Haonan Hou    
Moldy corn produces aflatoxin and gibberellin, which can have adverse effects on human health if consumed. Mold is a significant factor that affects the safe storage of corn. If not detected and controlled in a timely manner, it will result in substantia... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xinyan Song, Chengyue Wang and Wenxin Liu    
Purpose: Improving agricultural carbon-output efficiency is an important path to realize the ?double carbon? goal in the Yellow River Basin. In the context of rapid urbanization development, it is significant to explore whether promoting urbanization wil... ver más
Revista: Agriculture    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
Deekshitha Bomireddy, Vinay Sharma, Ramachandran Senthil, Mangala Reddisekhar, Priya Shah, Kuldeep Singh, Devarapalli Mohan Reddy, Palagiri Sudhakar, Bommu Veera Bhaskara Reddy and Manish K. Pandey    
Domestication and extensive selection in the development of modern, high-yielding commercial groundnut cultivars have resulted in the selection of an undesirable trait known as in situ germination, which is also referred to as the pre-harvest sprouting o... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Meng Ma, Zhirong Zhong, Zhi Zhai and Ruobin Sun    
There are hundreds of various sensors used for online Prognosis and Health Management (PHM) of LREs. Inspired by the fact that a limited number of key sensors are selected for inflight control purposes in LRE, it is practical to optimal placement of redu... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Zixin Feng, Teligeng Yun, Yu Zhou, Ruirui Zheng and Jianjun He    
Geometric mean metric learning (GMML) algorithm is a novel metric learning approach proposed recently. It has many advantages such as unconstrained convex objective function, closed form solution, faster computational speed, and interpretability over oth... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Rui-Yu Li, Yu Guo and Bin Zhang    
Nonnegative matrix factorization (NMF) is an efficient method for feature learning in the field of machine learning and data mining. To investigate the nonlinear characteristics of datasets, kernel-method-based NMF (KNMF) and its graph-regularized extens... ver más
Revista: Information    Formato: Electrónico

« Anterior     Página: 1 de 13     Siguiente »