|
|
|
|
|
Tianyu Yu, Cuiwei Liu, Zhuo Yan and Xiangbin Shi
Predicting the categories of actions in partially observed videos is a challenging task in the computer vision field. The temporal progress of an ongoing action is of great importance for action prediction, since actions can present different characteris...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sa?ad Ibrahim
Land use and land cover (LULC) mapping can be of great help in changing land use decisions, but accurate mapping of LULC categories is challenging, especially in semi-arid areas with extensive farming systems and seasonal vegetation phenology. Machine le...
ver más
|
|
|
|
|
|
|
|
|
|
|
Amrit Bhusal, Utsav Parajuli, Sushmita Regmi and Ajay Kalra
Rainfall-runoff simulation is vital for planning and controlling flood control events. Hydrology modeling using Hydrological Engineering Center?Hydrologic Modeling System (HEC-HMS) is accepted globally for event-based or continuous simulation of the rain...
ver más
|
|
|
|
|
|
|
|
|
|
|
Md Nasim Adnan,Md Zahidul Islam
Decision trees are popularly used in a wide range of real world problems for both prediction and classification (logic) rules discovery. A decision forest is an ensemble of decision trees and it is often built for achieving better predictive performance ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alu Si, Jiquan Zhang, Yichen Zhang, Emmanuel Kazuva, Zhenhua Dong, Yongbin Bao and Guangzhi Rong
Debris flow events often pose significant damage and are a threat to infrastructure and even livelihoods. Recent studies have mainly focused on determining the susceptibility of debris flow using deterministic or heuristic/probabilistic models. However, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bahareh Kalantar, Husam A. H. Al-Najjar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda and Seyed Amir Naghibi
Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this reason, in this work, we look at three statistical factor analysis methods?Variance Inflation Fac...
ver más
|
|
|
|
|
|
|
|
|
|
|
Omar Abdulkhaleq Aldabash and Mehmet Fatih Akay
An IDS (Intrusion Detection System) is essential for network security experts, as it allows one to identify and respond to abnormal traffic present in a network. An IDS can be utilized for evaluating the various types of malicious attacks. Hence, detecti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Karma Tempa, Masengo Ilunga, Abhishek Agarwal and Tashi
Gelephu, located in the Himalayan region, has undergone significant development activities due to its suitable topography and geographic location. This has led to rapid urbanization in recent years. Assessing land use land cover (LULC) dynamics and Norma...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hosang Han and Jangwon Suh
The accurate prediction of soil contamination in abandoned mining areas is necessary to address their environmental risks. This study employed a combined model of machine learning and geostatistics to predict the spatial distribution of soil contaminatio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuecheng Li, Liangjie Xu, Xi Huang and Hao Xiao
To enhance cycling comfort, a critical investigation of vibration effects in non-motorized bicycle riding is essential, focusing on road characteristics and traffic features. The analysis of how these elements influence cycling vibrations identified 13 k...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yunzhou Chen, Shumin Wang, Ziying Gu and Fan Yang
Spatial population distribution data is the discretization of demographic data into spatial grids, which has vital reference significance for disaster emergency response, disaster assessment, emergency rescue resource allocation, and post-disaster recons...
ver más
|
|
|
|
|
|
|
|
|
|
|
Seyed Mohammad Hashemi, Ruxandra Mihaela Botez and Georges Ghazi
Accurate aircraft trajectory prediction is fundamental for enhancing air traffic control systems, ensuring a safe and efficient aviation transportation environment. This research presents a detailed study on the efficacy of the Random Forest (RF) methodo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fuqin Yang, Yang Liu, Jiayu Yan, Lixiao Guo, Jianxin Tan, Xiangfei Meng, Yibo Xiao and Haikuan Feng
The rapid and accurate estimation of crop yield is of great importance for large-scale agricultural production and national food security. Using winter wheat as the research object, the effects of color indexes, texture feature and fusion index on yield ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hui Deng, Wenjiang Zhang, Xiaoqian Zheng and Houxi Zhang
The accurate and timely identification of crops holds paramount significance for effective crop management and yield estimation. Unmanned aerial vehicle (UAV), with their superior spatial and temporal resolution compared to satellite-based remote sensing...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenfeng Li, Jiao Pan, Wenyi Peng, Yingzhi Li and Chao Li
Garlic (Allium sativum) is an important economic crop in China. In terms of using remote sensing technology to identify it, there is still room for improvement, and the high-precision classification of garlic has become an important issue. However, to th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chunguang Bi, Shuo Zhang, He Chen, Xinhua Bi, Jinjing Liu, Hao Xie, Helong Yu, Shaozhong Song and Lei Shi
Ensuring the security of germplasm resources is of great significance for the sustainable development of agriculture and ecological balance. By combining the morphological characteristics of maize seeds with hyperspectral data, maize variety classificati...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guizhi Tian and Liming Zhu
Characterized by soil moisture content and plant growth, agricultural drought occurs when the soil moisture content is lower than the water requirement of plants. Microwave remote sensing observation has the advantages of all-weather application and sens...
ver más
|
|
|
|
|
|
|
|
|
|
|
Laura Lisso, John B. Lindsay and Aaron Berg
Climate change research identifies risks to agriculture that will impact agricultural land suitability. To mitigate these impacts, agricultural growing regions will need to adapt, diversify, or shift in location. Various machine learning algorithms have ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dthenifer Cordeiro Santana, Gustavo de Faria Theodoro, Ricardo Gava, João Lucas Gouveia de Oliveira, Larissa Pereira Ribeiro Teodoro, Izabela Cristina de Oliveira, Fábio Henrique Rojo Baio, Carlos Antonio da Silva Junior, Job Teixeira de Oliveira and Paulo Eduardo Teodoro
Using multispectral sensors attached to unmanned aerial vehicles (UAVs) can assist in the collection of morphological and physiological information from several crops. This approach, also known as high-throughput phenotyping, combined with data processin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jean-Sébastien Dessureault, Félix Clément, Seydou Ba, François Meunier and Daniel Massicotte
The field of interior home design has witnessed a growing utilization of machine learning. However, the subjective nature of aesthetics poses a significant challenge due to its variability among individuals and cultures. This paper proposes an applied ma...
ver más
|
|
|
|
|
|