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Intelligent manufacturing and mechat...
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Symposium on Intelligent Manufacturing and Mechatronics (2020 :)
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Intelligent manufacturing and mechatronics = proceedings of SympoSIMM 2020 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Intelligent manufacturing and mechatronics/ edited by Muhammad Syahril Bahari ... [et al.].
其他題名:
proceedings of SympoSIMM 2020 /
其他題名:
SympoSIMM 2020
其他作者:
Bahari, Muhammad Syahril.
團體作者:
Symposium on Intelligent Manufacturing and Mechatronics
出版者:
Singapore :Springer Singapore : : 2021.,
面頁冊數:
xxi, 1332 p. :ill. (some col.), digital ;24 cm.
內容註:
Diagnosis of Heart Disease Using Machine Learning Methods -- Investigation of Geomorphological features of Kerian River using Satellite Images -- Review on the Potential of a Tidal Energy Harnessing System in Malaysia -- An Experimental Study of Deep Learning Approach for Indoor Positioning System using WI-FI System -- Defect Factor Analysis using Statistical Process Control Analysis: A Case Study in Spices Defected Packaging Production -- Automatic Counting of Palm Oil Tree Using Satellite Aerial Imagery -- Optimal Design of Step - Cone Pulley Problem using the Bees Algorithm -- Adapting Travelling Salesmen Problem for Realtime UAS Path Planning using Genetic Algorithm -- Predicting the Cycle Time at A Production Line Through the Development of the 3-3-1 Multilayer Perceptron Artificial Neural Networks with Formulated Momentum Rate -- Internet of Things Security: Modelling Smart Industrial Thermostat for Threat vectors and Common Vulnerabilities -- Single Channel Magnetic Induction Measurement for Meningitis Detection -- Reconstruction of Patient-Specific Cerebral Aneurysm Model through Image Segmentation -- Obstacle Avoiding 4-Legged Mobile Robot using 4-Bar Mechanism -- Improving the Infant-Wrap (InfaWrap) Device for Neonates using MyI-Wrap -- Research Objective in Assembly Line Balancing Problem: A Short Review.
Contained By:
Springer Nature eBook
標題:
Production engineering - Congresses. -
電子資源:
https://doi.org/10.1007/978-981-16-0866-7
ISBN:
9789811608667
Intelligent manufacturing and mechatronics = proceedings of SympoSIMM 2020 /
Intelligent manufacturing and mechatronics
proceedings of SympoSIMM 2020 /[electronic resource] :SympoSIMM 2020edited by Muhammad Syahril Bahari ... [et al.]. - Singapore :Springer Singapore :2021. - xxi, 1332 p. :ill. (some col.), digital ;24 cm. - Lecture notes in mechanical engineering,2195-4356. - Lecture notes in mechanical engineering..
Diagnosis of Heart Disease Using Machine Learning Methods -- Investigation of Geomorphological features of Kerian River using Satellite Images -- Review on the Potential of a Tidal Energy Harnessing System in Malaysia -- An Experimental Study of Deep Learning Approach for Indoor Positioning System using WI-FI System -- Defect Factor Analysis using Statistical Process Control Analysis: A Case Study in Spices Defected Packaging Production -- Automatic Counting of Palm Oil Tree Using Satellite Aerial Imagery -- Optimal Design of Step - Cone Pulley Problem using the Bees Algorithm -- Adapting Travelling Salesmen Problem for Realtime UAS Path Planning using Genetic Algorithm -- Predicting the Cycle Time at A Production Line Through the Development of the 3-3-1 Multilayer Perceptron Artificial Neural Networks with Formulated Momentum Rate -- Internet of Things Security: Modelling Smart Industrial Thermostat for Threat vectors and Common Vulnerabilities -- Single Channel Magnetic Induction Measurement for Meningitis Detection -- Reconstruction of Patient-Specific Cerebral Aneurysm Model through Image Segmentation -- Obstacle Avoiding 4-Legged Mobile Robot using 4-Bar Mechanism -- Improving the Infant-Wrap (InfaWrap) Device for Neonates using MyI-Wrap -- Research Objective in Assembly Line Balancing Problem: A Short Review.
This book presents the proceedings of SympoSIMM 2020, the 3rd 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 will be a valuable resource for readers wishing to embrace the new era of Industry 4.0.
ISBN: 9789811608667
Standard No.: 10.1007/978-981-16-0866-7doiSubjects--Topical Terms:
683221
Production engineering
--Congresses.
LC Class. No.: TS176
Dewey Class. No.: 670
Intelligent manufacturing and mechatronics = proceedings of SympoSIMM 2020 /
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Diagnosis of Heart Disease Using Machine Learning Methods -- Investigation of Geomorphological features of Kerian River using Satellite Images -- Review on the Potential of a Tidal Energy Harnessing System in Malaysia -- An Experimental Study of Deep Learning Approach for Indoor Positioning System using WI-FI System -- Defect Factor Analysis using Statistical Process Control Analysis: A Case Study in Spices Defected Packaging Production -- Automatic Counting of Palm Oil Tree Using Satellite Aerial Imagery -- Optimal Design of Step - Cone Pulley Problem using the Bees Algorithm -- Adapting Travelling Salesmen Problem for Realtime UAS Path Planning using Genetic Algorithm -- Predicting the Cycle Time at A Production Line Through the Development of the 3-3-1 Multilayer Perceptron Artificial Neural Networks with Formulated Momentum Rate -- Internet of Things Security: Modelling Smart Industrial Thermostat for Threat vectors and Common Vulnerabilities -- Single Channel Magnetic Induction Measurement for Meningitis Detection -- Reconstruction of Patient-Specific Cerebral Aneurysm Model through Image Segmentation -- Obstacle Avoiding 4-Legged Mobile Robot using 4-Bar Mechanism -- Improving the Infant-Wrap (InfaWrap) Device for Neonates using MyI-Wrap -- Research Objective in Assembly Line Balancing Problem: A Short Review.
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This book presents the proceedings of SympoSIMM 2020, the 3rd 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 will be a valuable resource for readers wishing to embrace the new era of Industry 4.0.
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