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Chunguang Bi, Shuo Zhang, He Chen, Xinhua Bi, Jinjing Liu, Hao Xie, Helong Yu, Shaozhong Song and Lei Shi
Ensuring the security of germplasm resources is of great significance for the sustainable development of agriculture and ecological balance. By combining the morphological characteristics of maize seeds with hyperspectral data, maize variety classificati...
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Haixia Jin, Jingjing Peng, Rutian Bi, Huiwen Tian, Hongfen Zhu and Haoxi Ding
Mapping soil organic carbon (SOC) accurately is essential for sustainable soil resource management. Hyperspectral data, a vital tool for SOC mapping, is obtained through both laboratory and satellite-based sources. While laboratory data is limited to sam...
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Mohammed Zakariah and Abdulaziz S. Almazyad
The prevalence of Internet of Things (IoT) technologies is on the rise, making the identification of anomalies in IoT systems crucial for ensuring their security and reliability. However, many existing approaches rely on static classifiers and immutable ...
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Gayan Dharmarathne, Gabriela F. Nane, Andrew Robinson and Anca M. Hanea
Mathematical aggregation of probabilistic expert judgments often involves weighted linear combinations of experts? elicited probability distributions of uncertain quantities. Experts? weights are commonly derived from calibration experiments based on the...
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Mohammad Reza Askari, Mahmoud Abdel-Latif, Mudassir Rashid, Mert Sevil and Ali Cinar
Detection and classification of acute psychological stress (APS) and physical activity (PA) in daily lives of people with chronic diseases can provide precision medicine for the treatment of chronic conditions such as diabetes. This study investigates th...
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Dongjin Yu, Yi Shen, Kaihui Xu and Yihang Xu
Point-Of-Interest (POI) recommendation not only assists users to find their preferred places, but also helps businesses to attract potential customers. Recent studies have proposed many approaches to the POI recommendation. However, the lack of negative ...
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Kiyoharu Tagawa
In this paper, a new approach to solve Chance Constrained Problems (CCPs) using huge data sets is proposed. Specifically, instead of the conventional mathematical model, a huge data set is used to formulate CCP. This is because such a large data set is a...
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