UID:
almahu_9948130135402882
Format:
XIII, 522 p. 207 illus., 155 illus. in color.
,
online resource.
ISBN:
9783030049461
Series Statement:
Studies in Computational Intelligence, 810
Content:
This book provides insights into the research in the fields of artificial intelligence in combination with Internet of Things (IoT) technologies. Today, the integration of artificial intelligence and IoT technologies is attracting considerable interest from both researchers and developers from academic fields and industries around the globe. It is foreseeable that the next generation of IoT research will focus on artificial intelligence/beyond artificial intelligence approaches. The rapidly growing numbers of artificial intelligence algorithms and big data solutions have significantly increased the number of potential applications for IoT technologies, but they have also created new challenges for the artificial intelligence community. This book shares the latest scientific advances in this area.
Note:
MEG Signal Reconstruction via Low-Rank Matrix Recovery for Source Imaging in Simulations -- Silhouette Photo Style Transfer -- Improved Rao-Blackwellised Particle Filter based on randomly weighted PSO -- Local Binary Pattern Metric-based Multi-Focus Image Fusion -- Photo Aesthetic Scoring through Spatial Aggregation Perception DCNN on a New IDEA Dataset -- Synthesizing Virtual-Real Artworks using Sun Orientation Estimation -- A Novel Sliding Mode Control For Human Upper Extremity With Gravity Compensation -- Compressive Sensing-based Optimal Design of an Emerging Optical Imager -- A Method of Film Clips Retrieval using Image Queries based on User Interests -- Multi-task Deep Learning for Fine-grained Classification/Grading in Breast Cancer Histopathological Images.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783030049454
Additional Edition:
Printed edition: ISBN 9783030049478
Language:
English
Subjects:
Computer Science
DOI:
10.1007/978-3-030-04946-1
URL:
https://doi.org/10.1007/978-3-030-04946-1
URL:
Volltext
(URL des Erstveröffentlichers)
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