|
|
|
|
|
Kate Carlson, Barbara P. Buttenfield and Yi Qiang
Quantification of all types of uncertainty helps to establish reliability in any analysis. This research focuses on uncertainty in two attribute levels of wetland classification and creates visualization tools to guide analysis of spatial uncertainty pat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hyojae Jung and Chanjin Chung
This study estimates consumers? willingness to pay (WTP) for sustainability turfgrass attributes such as low-input and stress-tolerance attributes, while considering potential trade-off relationships between aesthetic attributes and sustainability attrib...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sihan Ni, Zhongyi Wang, Yuanyuan Wang, Minghao Wang, Shuqi Li and Nan Wang
Geographically neural network weighted regression is an improved model of GWR combined with a neural network. It has a stronger ability to fit nonlinear functions, and complex geographical processes can be modeled more fully. GNNWR uses the distance metr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hui Lin and Zhou-Jing Wang
Low-carbon tourism plays an important role in carbon emission reduction and environmental protection. Low-carbon tourism destination selection often involves multiple conflicting and incommensurate attributes or criteria and can be modelled as a multi-at...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jing Liu and Yong Zhong
As a structural indicator of dense subgraphs, k-core has been widely used in community search due to its concise and efficient calculation. Many community search algorithms have been expanded on the basis of k-core. However, relevant algorithms often set...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jae Jin Lee,Sung-Jun Lee
Pág. 281 - 290
This study aims to empirically examine how Asian and Western consumers with different cultural backgrounds (holistic vs. analytic thinking) in different brand extension situations (high vs. low brand-extension fit) perceive two different types of brand e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ramachandra Canumalla and Tanjore V. Jayaraman
Titanium alloys, with their low density, exceptional mechanical properties, and outstanding corrosion resistance, play a vital role in various aerospace applications. Our decision science-driven assessment focused on metastable ß, near-ß, a + ß, and near...
ver más
|
|
|
|
|
|
|
|
|
|
|
Meijuan Huang, Yutian Liu, Bo Yang, Yanqi Zhao and Mingrui Zhang
Revocable attribute-based encryption (RABE) provides greater flexibility and fine-grained access control for data sharing. However, the revocation process for most RABE schemes today is performed by the cloud storage provider (CSP). Since the CSP is an h...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sideris Kiratsoudis and Vassilis Tsiantos
Personnel selection stands as a pivotal component within the domain of human resource management, intrinsically tethered to the quality of the workforce at large. In this research endeavor, we introduce the Entropy Synergy Analysis of Multi-Attribute Dec...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abner Perez-Haro and Arturo Diaz-Perez
Policy mining is an automated procedure for generating access rules by means of mining patterns from single permissions, which are typically registered in access logs. Attribute-based access control (ABAC) is a model which allows security administrators ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Daniel Gugerell, Benedikt Gollan, Moritz Stolte and Ulrich Ansorge
Task batteries mimicking user tasks are of high heuristic value. Supposedly, they measure individual human aptitude regarding the task in question. However, less is often known about the underlying mechanisms or functions that account for task performanc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aileen C. Benedict and Zbigniew W. Ras
The paper concerns the problem of action-rule extraction when datasets are large. Such rules can be used to construct a knowledge base in a recommendation system. One of the popular approaches to construct action rules in such cases is to partition the d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mingze Li, Bing Li, Zhigang Qi, Jiashuai Li and Jiawei Wu
Predicting ship trajectories plays a vital role in ensuring navigational safety, preventing collision incidents, and enhancing vessel management efficiency. The integration of advanced machine learning technology for precise trajectory prediction is emer...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuqi Zhang, Tong Zhi, Hongbo Zhang, Chiheng Dang, Congcong Yao, Dengrui Mu, Fengguang Lyu, Yu Zhang and Shangdong Liu
The hydrological series in the Loess Plateau region has exhibited shifts in trend, mean, and/or variance as the environmental conditions have changed, indicating a departure from the assumption of stationarity. As the variations accumulate, the compound ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mehdi Taheriboshrouyeh, Malindu Sandanayake and Sam Fragomeni
In scholarly construction management, ?program? denotes terminologies like ?mega-project? and ?infrastructure project?. Within this framework, the Construction Program Delivery (CPD) system is an indispensable mechanism affecting the entire lifecycle of ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Gustavo O. R. Cruz, Rodrigo M. Peixoto, Guilherme A. de Sousa Guimarães, Ewerton L. S. Oliveira, Ingrid Winkler and Erick G. Sperandio Nascimento
The majority of current approaches for bias and fairness identification or mitigation in machine learning models are applications for a particular issue that fails to account for the connection between the application context and its associated sensitive...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anne M. Tall and Cliff C. Zou
Controlling access to a large set of medical and social media data processed in a cloud environment using open-source Hadoop storage and Spark parallel processing.
|
|
|
|
|
|
|
|
|
|
|
Cunxiang Xie, Limin Zhang and Zhaogen Zhong
In practical application, there are different knowledge graphs in different fields, such as financial graph, commodity graph, medical graph, and so on. Entity alignment technique can be applied to the fusion of multiple knowledge graphs in different doma...
ver más
|
|
|
|
|
|
|
|
|
|
|
Saad Inshi, Rasel Chowdhury, Hakima Ould-Slimane and Chamseddine Talhi
Predicting context-aware activities using machine-learning techniques is evolving to become more readily available as a major driver of the growth of IoT applications to match the needs of the future smart autonomous environments. However, with today?s i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nigang Sun, Chenyang Zhu, Yuanyi Zhang and Yining Liu
Digital transformation of the logistics industry triggered by the widespread use of Internet of Things (IoT) technology has prompted a significant revolution in logistics companies, further bringing huge dividends to society. However, the concurrent acce...
ver más
|
|
|
|
|
|