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Intelligent Manufacturing and Mechatronics [electronic resource] : Proceedings of the 2nd Symposium on Intelligent Manufacturing and Mechatronics – SympoSIMM 2019, 8 July 2019, Melaka, Malaysia / edited by Zamberi Jamaludin, Mohd Najib Ali Mokhtar.

Contributor(s): Jamaludin, Zamberi [editor.] | Ali Mokhtar, Mohd Najib [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Mechanical Engineering: Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XVII, 601 p. 403 illus., 319 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811395390.Subject(s): Manufactures | Mechatronics | Control engineering | Robotics | Automation | Machines, Tools, Processes | Mechatronics | Control, Robotics, AutomationAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 670 Online resources: Click here to access online
Contents:
Niblack Algorithm Modification Using Maximum-Minimum (Max-Min) Intensity Approaches on Low Contrast Document Images -- Predicting Outcomes in Patients with Traumatic Brain Injury Using Machine Learning Models -- Blood Vessel Detection Monitoring System and Mobile Notification for Diabetic Retinopathy Diagnosis -- Reduction of Salt-and-Pepper Noise from Digital Grayscale Image by Using Recursive Switching Adaptive Median Filter -- Parameter Tuning in the Single-Solution Simulated Kalman Filter Optimizer Path Tracking Simulation of the Buggy Car by using Fuzzy Information of the Steering Wheel -- The Classification of Skateboaording Trick Manoeuvres Through the Integration of IMU and Machine Learning -- Predicting Serious Injuries due to Road Traffic Accidents in Malaysia by means of Artificial Neural Network.
In: Springer Nature eBookSummary: This book presents the proceedings of SympoSIMM 2019, the 2nd edition of the Symposium on Intelligent Manufacturing and Mechatronics. Focusing on “Strengthening Innovations Towards Industry 4.0”, the book presents studies on the details of Industry 4.0’s current trends. Divided into five parts covering various areas of manufacturing engineering and mechatronics stream, namely, artificial intelligence, instrumentation and controls, intelligent manufacturing, modelling and simulation, and robotics., the book is a valuable resource for readers wishing to embrace the new era of Industry 4.0.
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Niblack Algorithm Modification Using Maximum-Minimum (Max-Min) Intensity Approaches on Low Contrast Document Images -- Predicting Outcomes in Patients with Traumatic Brain Injury Using Machine Learning Models -- Blood Vessel Detection Monitoring System and Mobile Notification for Diabetic Retinopathy Diagnosis -- Reduction of Salt-and-Pepper Noise from Digital Grayscale Image by Using Recursive Switching Adaptive Median Filter -- Parameter Tuning in the Single-Solution Simulated Kalman Filter Optimizer Path Tracking Simulation of the Buggy Car by using Fuzzy Information of the Steering Wheel -- The Classification of Skateboaording Trick Manoeuvres Through the Integration of IMU and Machine Learning -- Predicting Serious Injuries due to Road Traffic Accidents in Malaysia by means of Artificial Neural Network.

This book presents the proceedings of SympoSIMM 2019, the 2nd edition of the Symposium on Intelligent Manufacturing and Mechatronics. Focusing on “Strengthening Innovations Towards Industry 4.0”, the book presents studies on the details of Industry 4.0’s current trends. Divided into five parts covering various areas of manufacturing engineering and mechatronics stream, namely, artificial intelligence, instrumentation and controls, intelligent manufacturing, modelling and simulation, and robotics., the book is a valuable resource for readers wishing to embrace the new era of Industry 4.0.

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