|
|
|
|
|
Alexander Robitzsch
The local independence assumption is crucial for the consistent estimation of item parameters in item response theory models. This article explores a pairwise likelihood estimation approach for the two-parameter logistic (2PL) model that treats the local...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuai Lu, Haibo Chen and Yilong Teng
Traffic flow prediction is a crucial research area in traffic management. Accurately predicting traffic flow in each area of the city over the long term can enable city managers to make informed decisions regarding the allocation of urban transportation ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Michiel van der Vlag, Lionel Kusch, Alain Destexhe, Viktor Jirsa, Sandra Diaz-Pier and Jennifer S. Goldman
Global neural dynamics emerge from multi-scale brain structures, with nodes dynamically communicating to form transient ensembles that may represent neural information. Neural activity can be measured empirically at scales spanning proteins and subcellul...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mengxiao Liu, Yong Ge, Shan Hu and Haiguang Hao
Recognizing the spatial effects of regional poverty is essential for achieving sustainable poverty alleviation. This study investigates these spatial effects and their determinants across three distinct administrative levels within Hubei Province, China....
ver más
|
|
|
|
|
|
|
|
|
|
|
Wei Liu, Liyuan He, Jie Xu and Dingde Xu
To reduce the threat of natural disasters, protect natural resources, and promote human wellbeing, Shaanxi Province, China has implemented the largest disaster resettlement project since 2011. It has moved 2.4 million people in three prefectures over 10 ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wei Liu and Xinyu Wu
In order to assess the degree to which China?s poverty alleviation resettlement (PAR) has been able to address the development conundrum of natural resources reliance and human welfare, it was necessary to investigate the effects of PAR on rural househol...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hui Sheng, Min Liu, Jiyong Hu, Ping Li, Yali Peng and Yugen Yi
Time-series data is an appealing study topic in data mining and has a broad range of applications. Many approaches have been employed to handle time series classification (TSC) challenges with promising results, among which deep neural network methods ha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jana Jadudová, Milada ?tastná, Iveta Marková and Emília Hroncová
Regional product labelling has become a trend in recent years, with the goal of being able to stimulate and support local economies; increase the sales of quality local products and services; preserve and maintain traditions, local cultural values, and t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haiyuan Cao, Deng Chen, Zhaohui Zheng, Yanduo Zhang, Huabing Zhou and Jianping Ju
Point cloud registration has a wide range of applications in 3D reconstruction, pose estimation, intelligent driving, heritage conservation, and digital cities. The traditional iterative closest point (ICP) algorithm has strong dependence on the initial ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guoyan Xu, Yuwei Lu, Zixu Jing, Chunyan Wu and Qirui Zhang
The accuracy of dam deformation prediction is a key issue that needs to be addressed due to the many factors that influence dam deformation. In this paper, a dam deformation prediction model based on IEALL (IGWO-EEMD-ARIMA-LSTM-LSTM) is proposed for a si...
ver más
|
|
|
|
|
|