Results 21 to 30 of about 459,037 (316)

Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data

Scientific Reports, 2022
Individual daily travel activities (e.g., work, eating) are identified with various machine learning models (e.g., Bayesian Network, Random Forest) for understanding people’s frequent travel purposes.
Xinyi Liu, Meiliu Wu, Bo Peng, Qunying Huang   +3 more
doaj   +1 more source

A Scheme for Quickly Simulating Extraterrestrial Solar Radiation over Complex Terrain on a Large Spatial-Temporal Span—A Case Study over the Entirety of China

Remote Sensing, 2022
Extraterrestrial solar radiation (ESR) is the essential basic background for solar radiation, which determines the occurrence of the weather and atmospheric phenomena.
Siwei Lin, Nan Chen, Qianqian Zhou, Tinmin Lin, Huange Li   +4 more
doaj   +1 more source

Data mining for the analysis of content interaction in web-based learning and training systems [PDF]

, 2006
Data mining is based on the detection and extraction of knowledge from a database. Web usage mining is a special form of data mining to address behaviour in Web sites.
C. Pahl, Pahl, Claus
core   +1 more source

Semi-Supervised Learning Based on Generative Adversarial Network and Its Applied to Lithology Recognition

IEEE Access, 2019
Lithology recognition is an essential part of reservoir parameter prediction. Compared to conventional algorithms, deep learning that needs a large amount of training data as support can extract features automatically.
Guohe Li, Yinghan Qiao, Yifeng Zheng, Ying Li, Weijiang Wu   +4 more
doaj   +1 more source

Context-aware adaptive data stream mining [PDF]

, 2009
In resource-constrained devices, adaptation of data stream processing to variations of data rates and availability of resources is crucial for consistency and continuity of running applications. However, to enhance and maximize the benefits of adaptation,
Zaslavsky, Arkady, Haghighi, P., Krishnaswamy, S., Gaber, Mohamed,, Krishnaswamy, Shonali,, Gaber, M., Loke, Seng Wai,, Loke, S., Zaslavsky, A., Haghighi, Pari Delir,   +9 more
core   +1 more source

Crowd counting via Multi-Scale Adversarial Convolutional Neural Networks

Journal of Intelligent Systems, 2020
The purpose of crowd counting is to estimate the number of pedestrians in crowd images. Crowd counting or density estimation is an extremely challenging task in computer vision, due to large scale variations and dense scene.
Zhu Liping, Zhang Hong, Ali Sikandar, Yang Baoli, Li Chengyang   +4 more
doaj   +1 more source

Immersive cultural heritage digital documentation and information service for historical figure metaverse: a case of Zhu Xi, Song Dynasty, China

Heritage Science, 2022
Cultural heritage is closely linked with individual historical figures, who become a key focus for cultural tourism. Confucianism laid the foundation for much of Chinese civilization, and Confucius and Mencius have been studied extensively and have been ...
Zhanling Fan, Chongcheng Chen, Hongyu Huang   +2 more
doaj   +1 more source

Prediction of Inbound and Outbound Passenger Flow in Urban Rail Transit Based on Spatio-Temporal Attention Residual Network

Applied Sciences, 2023
Passenger flow prediction is a critical approach to ensure the effective functioning of urban rail transit. However, there are few studies that combine multiple influencing factors for short-term passenger flow prediction.
Jun Yang, Xueru Dong, Huifan Yang, Xiao Han, Yan Wang, Jiayue Chen   +5 more
doaj   +1 more source

Mining Views: Database Views for Data Mining [PDF]

2008 IEEE 24th International Conference on Data Engineering, 2008
We present a system towards the integration of data mining into relational databases. To this end, a relational database model is proposed, based on the so called virtual mining views. We show that several types of patterns and models over the data, such as itemsets, association rules and decision trees, can be represented and queried using a unifying ...
Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado   +4 more
openaire   +8 more sources

An Improved Slime Mold Algorithm and its Application for Optimal Operation of Cascade Hydropower Stations

IEEE Access, 2020
A recently modern stochastic optimization algorithm has been developed by observing the life of slime mold physarum polycephalum in nature. The algorithm is called the slime mold algorithm (SMA) with an excellent exploratory capacity and exploitation ...
Trong-The Nguyen, Hong-Jiang Wang, Thi-Kien Dao, Jeng-Shyang Pan, Jian-Hua Liu, Shaowei Weng   +5 more
doaj   +1 more source