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2022
Deep learning is a subfield of machine learning that has gained significant popularity in recent years due to its ability to achieve state-of-the-art results in a variety of applications, ranging from computer vision and natural language processing to robotics and gaming.
Srividhya, E +4 more
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Deep learning is a subfield of machine learning that has gained significant popularity in recent years due to its ability to achieve state-of-the-art results in a variety of applications, ranging from computer vision and natural language processing to robotics and gaming.
Srividhya, E +4 more
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A deep learning approach for rooftop geocoding
Transactions in GIS, 2019AbstractGeocoding has become a routine task for many research investigations to conduct spatial analysis. However, the output quality of geocoding systems is found to impact the conclusions of subsequent studies that employ this workflow. The published development of geocoding systems has been limited to the same set of interpolation methods and ...
Zhengcong Yin +2 more
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A Deep Learning Approach to IoT Authentication
2018 IEEE International Conference on Communications (ICC), 2018At its peak, the Internet-of-Things will largely be composed of low-power devices with wireless radios attached. Yet, secure authentication of these devices amidst adversaries with much higher power and computational capability remains a challenge, even for advanced cryptographic and wireless security protocols.
Rajshekhar Das +4 more
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Contour interpolation by deep learning approach
Journal of Medical Imaging, 2022Contour interpolation is an important tool for expediting manual segmentation of anatomical structures. The process allows users to manually contour on discontinuous slices and then automatically fill in the gaps, therefore saving time and efforts. The most used conventional shape-based interpolation (SBI) algorithm, which operates on shape information,
Zhao, Chenxi, Duan, Ye, Yang, Deshan
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A deep learning approach for speaker recognition
International Journal of Speech Technology, 2019Speaker verification (SV) is an important branch in speaker recognition. Several approaches have been investigated within the last few decades. In this context, deep learning has received much more interest by speech processing researchers, and it was introduced recently in speaker recognition.
Soufiane Hourri, Jamal Kharroubi
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A Deep Learning Approach for Lane Detection
2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021State-of-the-art lane detection methods use a variety of deep learning techniques for lane feature extraction and prediction, demonstrating better performance than conventional lane detectors. However, deep learning approaches are computationally demanding and often fail to meet real-time requirements of autonomous vehicles.
Tesfamchael Getahun +2 more
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Rainfall Prediction: A Deep Learning Approach
2016Previous work has shown that the prediction of meteorological conditions through methods based on artificial intelligence can get satisfactory results. Forecasts of meteorological time series can help decision-making processes carried out by organizations responsible of disaster prevention.
Emilcy Hernández +4 more
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Deep learning approach for cyberattack detection
IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2018With the accelerated growth of internet of things IoT application in recent years, cities have become smarter to optimize resource and improved the quality of life for residents. On the other hand, the IoT face the severe security problem like confidentiality, integrity, privacy, and availability.
Yiyun Zhou +4 more
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Course Recommendation with Deep Learning Approach
2020Course selection is a crucial task which may affect greatly on student performance. Because of poor performances, numerous students have been receiving formal warnings and expulsions from universities. Clearly, a good strategy for study progress which can come from course recommendation methods really holds an important role to obtain a good study ...
Tran Thanh Dien +3 more
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A Deep Learning Approach to Radar Extrapolation
2020Nowcasting is really important for citizen and industry since it matters to everyone on social and economic activities and is significant for monitoring and forecasting disasters. As the foundation of the task, radar extrapolation is the most difficulty to be solved. However, the accuracy of the extrapolation is in a large bias.
Lei Yi +3 more
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