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Lina Zhou, Leijinyu Zhou, Hongbo Wu, Tingting Jing, Tianhao Li, Jinsheng Li, Lijuan Kong and Limei Chen
In order to monitor cadmium contamination in lettuce quickly, non-invasively, and accurately, and to understand the growth status of lettuce under cadmium pollution, lettuce was used as the test material to detect and analyze the visible?near-infrared re...
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Nick Martin
A three-step data assimilation (DA) of deep learning (DL) predictions to a process-based water budget is developed and applied to produce an active, operational water balance for groundwater management. In the first step, an existing water budget model p...
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Bin Wang, Hua Yang, Shujuan Zhang and Lili Li
Detection of skin defects in Cerasus humilis fruit is a critical process to guarantee its quality and price. This study presents a valid method for the detection of defective features in Cerasus humilis fruits based on hyperspectral imaging. A total of 4...
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Zhaoxuan Liu and Wenjie Luo
In recommendation models, bias can distort the distribution of user-generated data, leading to inaccurate representation of user preferences. Failure to filter out biased data can result in significant learning errors, ultimately reducing the accuracy of...
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Hongli Xu, Hongxu Yang, Zhongyu Bai and Xiangyue Zhang
Autonomous underwater vehicles (AUVs) are important in areas such as underwater scientific research and underwater resource collection. However, AUVs suffer from data portability and energy portability problems due to their physical size limitation. In t...
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Oliver Ohneiser, Hartmut Helmke, Shruthi Shetty, Matthias Kleinert, Heiko Ehr, Sebastian Schier-Morgenthal, Saeed Sarfjoo, Petr Motlicek, ?arunas Murauskas, Tomas Pagirys, Haris Usanovic, Mirta Me?trovic and Aneta Cerná
Assistant Based Speech Recognition (ABSR) systems for air traffic control radiotelephony communication have shown their potential to reduce air traffic controllers? (ATCos) workload. Related research activities mainly focused on utterances for approach a...
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Ján Moj?i?, Peter Krammer, Marcel Kvassay, Lenka Skovajsová and Ladislav Hluchý
This article helps establish reliable baselines for document-level sentiment analysis in highly inflected languages like Czech and Slovak. We revisit an earlier study representing the first comprehensive formulation of such baselines in Czech and show th...
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Sampada Tavse, Vijayakumar Varadarajan, Mrinal Bachute, Shilpa Gite and Ketan Kotecha
With the advances in brain imaging, magnetic resonance imaging (MRI) is evolving as a popular radiological tool in clinical diagnosis. Deep learning (DL) methods can detect abnormalities in brain images without an extensive manual feature extraction proc...
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Imiya M. Chathuranika, Miyuru B. Gunathilake, Hazi Md. Azamathulla and Upaka Rathnayake
Climate change is a serious and complex crisis that impacts humankind in different ways. It affects the availability of water resources, especially in the tropical regions of South Asia to a greater extent. However, the impact of climate change on water ...
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Erika Schiappapietra, Chiara Felicetta and Maria D?Amico
We present an upgraded processing scheme (eBASCO, extended BASeline COrrection) to remove the baseline of strong-motion records by means of a piece-wise linear detrending of the velocity time history. Differently from standard processing schemes, eBASCO ...
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