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Cognitive Internet of Things: Frameworks, Tools and Applications / edited by Huimin Lu

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Studies in Computational Intelligence ; 810 | SpringerLink BücherPublisher: Cham : Springer International Publishing, 2020Description: Online-Ressource (XIII, 522 p. 207 illus., 155 illus. in color, online resource)ISBN:
  • 9783030049461
Subject(s): Additional physical formats: 9783030049454 | 9783030049478 | Erscheint auch als: 978-3-030-04945-4 Druck-Ausgabe | Printed edition: 9783030049454 | Printed edition: 9783030049478 DDC classification:
  • 006.3
LOC classification:
  • Q342
DOI: DOI: 10.1007/978-3-030-04946-1Online resources: Summary: 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 areaSummary: 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 ImagesPPN: PPN: 1067368191Package identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT
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Reproduktion. (Springer eBook Collection. Intelligent Technologies and Robotics)

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