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Yiman Li, Michael Henke, Dalong Zhang, Chuanqing Wang and Min Wei
Experimental studies were conducted on the cultivation of tomatoes (Solanum lycopersicum L.) at Shandong Agricultural University, China, from 2022 to 2023. Three cultivation patterns were designed as follows: a north?south orientation with a row spacing ...
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MohammadHossein Reshadi, Wen Li, Wenjie Xu, Precious Omashor, Albert Dinh, Scott Dick, Yuntong She and Michael Lipsett
Anomaly detection in data streams (and particularly time series) is today a vitally important task. Machine learning algorithms are a common design for achieving this goal. In particular, deep learning has, in the last decade, proven to be substantially ...
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Li Zhe Poh, Tee Connie, Thian Song Ong and Michael Kah Ong Goh
The growth in the number of automobiles in metropolitan areas has drawn attention to the need for more efficient carpark control in public spaces such as healthcare, retail stores, and office blocks. In this research, dynamic pricing is integrated with r...
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Chih-yuan Li, Michael Renda, Fatima Yusuf, James Geller and Soon Ae Chun
Since the start of the COVID-19 pandemic, government authorities have responded by issuing new public health policies, many of which were intended to contain its spread but ended up limiting economic and social activities. The citizen responses to these ...
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Chen Hu, Fan Yang, Liyuan Zhang, Ren-Yuan Zhu, Jon Kapustinsky, Xuan Li, Michael Mocko, Ron Nelson, Steve Wender and Zhehui Wang
Fast and heavy inorganic scintillators with suitable radiation tolerance are required to face the challenges presented at future hadron colliders of high energy and intensity. Up to 5 GGy and 5 × 1018 neq/cm2 of one-MeV-equivalent neutron fluence is expe...
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Michael Li, Santoso Wibowo, Wei Li and Lily D. Li
Extreme learning machine (ELM) is a popular randomization-based learning algorithm that provides a fast solution for many regression and classification problems. In this article, we present a method based on ELM for solving the spectral data analysis pro...
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Walter Leal Filho, Murukesan Krishnapillai, Henry Sidsaph, Gustavo J. Nagy, Johannes M. Luetz, Jack Dyer, Michael Otoara Ha?apio, Peni Hausia Havea, Kushaal Raj, Priyatma Singh, Tom Rogers, Chunlan Li, Monica K. Boodhan, Franziska Wolf, Desalegn Yayeh Ayal and Hossein Azadi
Small Island States (SIDS) are among the nations most exposed to climate change (CC) and are characterised by a high degree of vulnerability. Their unique nature means there is a need for more studies focused on the limits to CC adaptation on such fragil...
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Huan Ning, Zhenlong Li, Michael E. Hodgson and Cuizhen (Susan) Wang
This article aims to implement a prototype screening system to identify flooding-related photos from social media. These photos, associated with their geographic locations, can provide free, timely, and reliable visual information about flood events to t...
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Shannon Nudds, Youyu Lu, Simon Higginson, Susan P. Haigh, Jean-Philippe Paquin, Mitchell O?Flaherty-Sproul, Stephanne Taylor, Hauke Blanken, Guillaume Marcotte, Gregory C. Smith, Natacha B. Bernier, Phillip MacAulay, Yongsheng Wu, Li Zhai, Xianmin Hu, Jérôme Chanut, Michael Dunphy, Frédéric Dupont, David Greenberg, Fraser J. M. Davidson and Fred Pageadd Show full author list remove Hide full author list
The oceanography sub-initiative of Canada?s Oceans Protection Plan was tasked to develop high-resolution nearshore ocean models for enhanced marine safety and emergency response, fitting into the multi-scale, multi-level nested operational ocean forecast...
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Lei Ren, Jianming Miao, Yulong Li, Xiangxin Luo, Junxue Li and Michael Hartnett
In order to obtain forward states of coastal currents, numerical models are a commonly used approach. However, the accurate definition of initial conditions, boundary conditions and other model parameters are challenging. In this paper, a novel applicati...
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