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Cognitive Internet of Things: Frameworks, Tools and Applications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Cognitive Internet of Things: Frameworks, Tools and Applications/ edited by Huimin Lu.
其他作者:	Lu, Huimin.
面頁冊數:	XIII, 522 p. 207 illus., 155 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Information Systems Applications (incl. Internet). -
電子資源:	https://doi.org/10.1007/978-3-030-04946-1
ISBN:	9783030049461

Cognitive Internet of Things: Frameworks, Tools and Applications
Cognitive Internet of Things: Frameworks, Tools and Applications[electronic resource] /edited by Huimin Lu. - 1st ed. 2020. - XIII, 522 p. 207 illus., 155 illus. in color.online resource. - Studies in Computational Intelligence,8101860-949X ;. - Studies in Computational Intelligence,564.

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.

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.

ISBN: 9783030049461

Standard No.: 10.1007/978-3-030-04946-1doiSubjects--Topical Terms:

881699
Information Systems Applications (incl. Internet).

LC Class. No.: Q342

Dewey Class. No.: 006.3

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