Event prediction in the big data era: A systematic survey

L Zhao - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Events are occurrences in specific locations, time, and semantics that nontrivially impact
either our society or the nature, such as earthquakes, civil unrest, system failures …

A survey on applications of machine learning algorithms in water quality assessment and water supply and management

A Oğuz, ÖF Ertuğrul - Water Supply, 2023 - iwaponline.com
Managing water resources and determining the quality of surface and groundwater is one of
the most significant issues fundamental to human and societal well-being. The process of …

A novel interval decomposition correlation particle swarm optimization-extreme learning machine model for short-term and long-term water quality prediction

S Huan - Journal of Hydrology, 2023 - Elsevier
Water quality prediction plays a crucial role in pollution treatment. However, inaccurate long-
term prediction resulting from complex information patterns and insufficient feature extraction …

Exploring and Visualizing Research Progress and Emerging Trends of Event Prediction: A Survey

S Xu, J Liu, S Li, S Yang, F Li - Applied Sciences, 2023 - mdpi.com
Over the last decade, event prediction has drawn attention from both academic and industry
communities, resulting in a substantial volume of scientific papers published in a wide range …

Contrast pattern mining in paired multivariate time series of a controlled driving behavior experiment

Q Li, L Zhao, YC Lee, J Lin - … on Spatial Algorithms and Systems (TSAS), 2020 - dl.acm.org
The controlled experiment is an important scientific method for researchers seeking to
determine the influence of the intervention, by interpreting the contrast patterns between the …

[PDF][PDF] Event Prediction in Big Data Era: A Systematic Survey. arXiv preprint

L Zhao - ArXivorg, 2020 - par.nsf.gov
Events are occurrences in specific locations, time, and semantics that nontrivially impact
either our society or the nature, such as earthquakes, civil unrest, system failures …

[PDF][PDF] Beyond tides and time: Machine learning's triumph in water quality forecasting

Y Li, S Mao, Y Yuan, Z Wang, Y Kang… - American Journal of …, 2023 - researchgate.net
Water resources are essential for sustaining human livelihoods and environmental well-
being. Accurate water quality prediction plays a pivotal role in effective resource …

[HTML][HTML] Water quality prediction using LSTM with combined normalizer for efficient water management

N Mahesh, JJ Babu, K Nithya, SA Arunmozhi - Desalination and Water …, 2024 - Elsevier
Predicting water quality is a significant area of study in the field of smart water technology,
since it may provide valuable assistance in managing and mitigating water pollution. Due to …

IWQP4Net: An Efficient Convolution Neural Network for Irrigation Water Quality Prediction

I Al-Shourbaji, S Duraibi - Water, 2023 - mdpi.com
With the increasing worldwide population and the requirement for efficient approaches to
farm care and irrigation, the demand for water is constantly rising, and water resources are …

Spatio-temporal event forecasting and precursor identification

Y Ning, L Zhao, F Chen, CT Lu… - Proceedings of the 25th …, 2019 - dl.acm.org
Spatio-temporal societal event forecasting, which has traditionally been prohibitively
challenging, is now becoming possible and experiencing rapid growth thanks to the big data …