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Artificial intelligence and deep learning in sensors and applications

Yuan, Shyan-Ming - Personal Name; Hong, Zeng-Wei - Personal Name; Cheng, Wai-Khuen - Personal Name;

The aim of this reprint is to address increasingly complex human problems by utilizing various sensors to collect data, enabling the formulation of solutions through deep learning and artificial intelligence (AI). This trend creates a high demand for sensors while presenting new challenges in developing sensor devices and applications across various fields, such as healthcare, manufacturing, agriculture, transportation, construction, and environmental monitoring. For instance, in environmental monitoring, AI-integrated sensors rapidly analyze large datasets to identify real-time patterns and trends, enhancing weather forecasting accuracy by gathering data from multiple sources. In industrial settings, AI-enhanced sensors optimize manufacturing by monitoring equipment health, predicting failures, and proactively scheduling maintenance. This reprint compiles contributions on AI and sensor technology, sharing ideas, designs, applications, and deployment experiences across various fields, including smart manufacturing, construction, autonomous vehicles, traffic monitoring, object recognition, image classification, speech processing, and human behavior analysis.


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Detail Information
Series Title
-
Call Number
006.33 ART a
Publisher
Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute., 2024
Collation
viii, 262 p.; ill.
Language
English
ISBN/ISSN
9783725814527
Classification
006.33
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Computer Science
Computing and information technology
Specific Detail Info
-
Statement of Responsibility
-
Other version/related

No other version available

File Attachment
  • 9783725814527
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