3rd EAI International Conference on Robotic Sensor Networks : ROSENET 2019 /: ROSENET 2019. (2020)
- Record Type:
- Book
- Title:
- 3rd EAI International Conference on Robotic Sensor Networks : ROSENET 2019 /: ROSENET 2019. (2020)
- Main Title:
- 3rd EAI International Conference on Robotic Sensor Networks : ROSENET 2019
- Other Titles:
- ROSENET 2019
- Further Information:
- Note: Yujie Li, Huimin Lu, editors.
- Other Names:
- Li, Yujie
Lu, Huimin
EAI International Conference on Robotic Sensor Networks, 3rd - Contents:
- Introduction.- Blood Vessels Image Segmentation Based on Clifford Algebra and Voronoi Diagram.- Reinforcement Learning Based Cell Intelligent Multi-mode Frequency Reuse Method.- Image Registration Method for Temporal Substraction Based on Salient Region Features.- Extreme ROS Reality: A Representation Framework for Robots Using Image Dehazing and VR.- Double-Blinded Finder: A Two-Side Privacy-Preserving Approach for Finding Missing Children.- Complex Object Illumination Transfer through Semantic and Material Parsing and Composition.- Global-best Leading Artificial Bee Colony Algorithms.- Position Control of Ultrasonic Motor using PID Control Combined with Artificial Bee Colony Type Neural Networks.- An Adaptable Feature Synthesis for Camouflage.- Conclusion.
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2020
- Copyright Date:
- 2021
- Extent:
- 1 online resource (96 pages)
- Subjects:
- 006.2/5
Sensor networks -- Congresses
Robotics -- Congresses
Robotics
Sensor networks
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 9783030460327
- Related ISBNs:
- 9783030460310
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.550413
- Ingest File:
- 03_167.xml