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Enhancing Rainfall Nowcasting Using Generative Deep Learning Model with Multi-Temporal Optical Flow
Precipitation nowcasting is critical for preventing damage to human life and the economy. Radar echo tracking methods such as optical flow algorithms have been widely employed for precipitation nowcasting because they can track precipitation motions well.
Ji-Hoon Ha, Hyesook Lee
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A Deep-Learning Model for Real-Time Red Palm Weevil Detection and Localization
Background and motivation: Over the last two decades, particularly in the Middle East, Red Palm Weevils (RPW, Rhynchophorus ferruginous) have proved to be the most destructive pest of palm trees across the globe.
Majed Alsanea +5 more
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CircPCBL: Identification of Plant CircRNAs with a CNN-BiGRU-GLT Model
Circular RNAs (circRNAs), which are produced post-splicing of pre-mRNAs, are strongly linked to the emergence of several tumor types. The initial stage in conducting follow-up studies involves identifying circRNAs.
Pengpeng Wu +3 more
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Real-time stability assessment in smart cyber-physical grids: a deep learning approach
The increasing coupling between the physical and communication layers in the cyber-physical system (CPS) brings up new challenges in system monitoring and control.
Farzad Darbandi +6 more
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IntroductionAccurate delineation of tumor targets is crucial for stereotactic body radiation therapy (SBRT) for non-small cell lung cancer (NSCLC). This study aims to develop a deep learning-based segmentation approach to accurately and efficiently ...
Xuyao Yu +8 more
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Approaches to Learning: Does Medical School Attract Students with the Motivation to Go Deeper?
Graduate-entry, following a science degree, is the preferred pathway into many medical schools, however little is known about how the learning approaches of medical students compare to those of science students.
Kylie J. Mansfield +3 more
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IDM based on image classification with CNN
Distributed generation (DG) has seen tremendous growth to meet the needs of ever-increasing energy demand. Most of these distributed sources are renewable in nature and connected at the consumer end.
Santhosh K.G. Manikonda +1 more
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Optimization Driven Adam-Cuckoo Search-Based Deep Belief Network Classifier for Data Classification
Data classification effectively classifies the data based on the labeled class distribution. To classify the data using the imbalanced distribution poses a significant challenge in the class inequity problem.
Mohammed Mohsin +2 more
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Performance evaluation of machine learning algorithms with fuzzy logic for intrusion detection in VANET network [PDF]
In recent years, Vehicular AD-HOC Networks (VANETs) have become a cornerstone in the advancement of Intelligent Transportation Systems (ITS), facilitating real-time communication between vehicles and infrastructure.
Raghunath Kawale +3 more
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Hate Speech Detection Using Machine Learning: A Survey
Currently hate speech is a growing challenge for society, individuals, policymakers, and researchers, as social media platforms make it easy to anonymously create and grow online friends and followers, and provide an online forum for debate about ...
Seble, H., +7 more
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