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Xiu Li, Aron Henriksson, Martin Duneld, Jalal Nouri and Yongchao Wu
Educational content recommendation is a cornerstone of AI-enhanced learning. In particular, to facilitate navigating the diverse learning resources available on learning platforms, methods are needed for automatically linking learning materials, e.g., in...
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Shuo Wang, Liaojun Zhang and Guojiang Yin
Research on the vibration response prediction and safety early warning is of great significance to the operation and management of pumping station engineering. In the current research, a hybrid prediction method was proposed to predict vibration response...
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Nermin Abdelhakim Othman, Manal A. Abdel-Fattah and Ahlam Talaat Ali
Because of technological advancements and their use in the medical area, many new methods and strategies have been developed to address complex real-life challenges. Breast cancer, a particular kind of tumor that arises in breast cells, is one of the mos...
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Martin Paralic, Kamil Zelenak, Patrik Kamencay and Robert Hudec
The paper introduces an approach for detecting brain aneurysms, a critical medical condition, by utilizing a combination of 3D convolutional neural networks (3DCNNs) and Convolutional Long Short-Term Memory (ConvLSTM). Brain aneurysms pose a significant ...
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Hassan El-khatib, Ana-Maria ?tefan and Dan Popescu
The incidence of melanoma cases continues to rise, underscoring the critical need for early detection and treatment. Recent studies highlight the significance of deep learning in melanoma detection, leading to improved accuracy. The field of computer-ass...
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Yi Zhang, Jie Ma, Xiaolin Qin, Yongming Li and Zuwei Zhang
Chronic diseases are severe and life-threatening, and their accurate early diagnosis is difficult. Machine-learning-based processes of data collected from the human body using wearable sensors are a valid method currently usable for diagnosis. However, i...
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Rostislav A. Filippov, Alexei Solovchenko, Dmitry Khort, Igor G. Smirnov, Alexey I. Kutyrev, Roman V. Pobedonostsev and Denis V. Yanykin
Electroimpedance spectroscopy technology can be used to accelerate the healing of complete trees and estimate the plant condition after grafting. This approach will allow sorting out low-vigor plants at the early stages of their development to save time ...
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Dapeng Jiang, Guoyou Shi, Na Li, Lin Ma, Weifeng Li and Jiahui Shi
In the context of the rapid development of deep learning theory, predicting future motion states based on time series sequence data of ship trajectories can significantly improve the safety of the traffic environment. Considering the spatiotemporal corre...
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Huishan Li, Lei Shi, Siwen Fang and Fei Yin
Aiming at the problem of accurately locating and identifying multi-scale and differently shaped apple leaf diseases from a complex background in natural scenes, this study proposed an apple leaf disease detection method based on an improved YOLOv5s model...
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Jing Yang, Hongyu Yang, Zhengyuan Wu and Xiping Wu
Due to increased air traffic flow, air traffic controllers (ATCs) operate in a state of high load or even overload for long periods of time, which can seriously affect the reliability and efficiency of controllers? commands. Thus, the early identificatio...
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