35   Artículos

 
en línea
Haochen Qin, Xuexin Fan, Yaxiang Fan, Ruitian Wang, Qianyi Shang and Dong Zhang    
Predicting the remaining useful life (RUL) of batteries can help users optimize battery management strategies for better usage planning. However, the RUL prediction accuracy of lithium-ion batteries will face challenges due to fewer data samples availabl... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Barbara Dobosz, Dariusz Gozdowski, Jerzy Koronczok, Jan ?ukovskis and Elzbieta Wójcik-Gront    
The accurate evaluation of crop damage by wild animals is crucial for farmers when seeking compensation from insurance companies or other institutions. One of the game species that frequently cause crop damage in Europe is the wild boar, which often feed... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Vahid Nasiri, Seyed Mohammad Moein Sadeghi, Fardin Moradi, Samaneh Afshari, Azade Deljouei, Verena C. Griess, Carmen Maftei and Stelian Alexandru Borz    
Forest canopy cover (FCC) is one of the most important forest inventory parameters and plays a critical role in evaluating forest functions. This study examines the potential of integrating Sentinel-1 (S-1) and Sentinel-2 (S-2) data to map FCC in the het... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Darwin Gómez Fernández, Rolando Salas López, Nilton B. Rojas Briceño, Jhonsy O. Silva López and Manuel Oliva    
Amazonas is a mountain region in Peru with high cloud cover, so using optical data in the analysis of surface changes of water bodies (such as the Burlan and Pomacochas lakes in Peru) is difficult, on the other hand, SAR images are suitable for the extra... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Yaolin Lin, Jingye Liu, Kamiel Gabriel, Wei Yang and Chun-Qing Li    
Buildings consume about 40% of the global energy. Building energy consumption is affected by multiple factors, including building physical properties, performance of the mechanical system, and occupants? activities. The prediction of building energy cons... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Wei Wang, Xue Gao, Yukun Cheng, Yi Ren, Zhihui Zhang, Rui Wang, Junmei Cao and Hongwei Geng    
High-throughput phenotypic identification is a prerequisite for large-scale identification and gene mining of important traits. However, existing work has rarely leveraged high-throughput phenotypic identification into quantitative trait locus (QTL) acqu... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Guangwei Chen, Waiching Tang, Shuo Chen, Shanyong Wang and Hongzhi Cui    
Engineered cementitious composite (ECC) is a unique material, which can significantly contribute to self-healing based on ongoing hydration. However, it is difficult to model and predict the self-healing performance of ECC. Although different machine lea... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Muhammad Fawad Akbar Khan, Khan Muhammad, Shahid Bashir, Shahab Ud Din and Muhammad Hanif    
Low-resolution Geological Survey of Pakistan (GSP) maps surrounding the region of interest show oolitic and fossiliferous limestone occurrences correspondingly in Samanasuk, Lockhart, and Margalla hill formations in the Hazara division, Pakistan. Machine... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Lovemore Chipindu, Walter Mupangwa, Jihad Mtsilizah, Isaiah Nyagumbo and Mainassara Zaman-Allah    
Maize kernel traits such as kernel length, kernel width, and kernel number determine the total kernel weight and, consequently, maize yield. Therefore, the measurement of kernel traits is important for maize breeding and the evaluation of maize yield. Th... ver más
Revista: AI    Formato: Electrónico

 
en línea
Yingli LV, Qui-Thao Le, Hoang-Bac Bui, Xuan-Nam Bui, Hoang Nguyen, Trung Nguyen-Thoi, Jie Dou and Xuan Song    
In this study, the ilmenite content in beach placer sand was estimated using seven soft computing techniques, namely random forest (RF), artificial neural network (ANN), k-nearest neighbors (kNN), cubist, support vector machine (SVM), stochastic gradient... ver más
Revista: Applied Sciences    Formato: Electrónico

« Anterior     Página: 1 de 3     Siguiente »