Big Data Analytics in Smart Manufacturing

Big Data Analytics in Smart Manufacturing

Principles and Practices

Balamurugan, B; Poongodi, T; Suresh, P; Sharma, Meenakshi

Taylor & Francis Ltd

10/2024

192

Mole

9781032065533

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. Machine Learning Techniques and Big Data Analytics for Smart Manufacturing. 2.Data-Driven Paradigm for Smart Manufacturing In The Context of Big Data Analytics. 3.Data-Driven Models in Machine Learning- An Enabler of Smart Manufacturing. 4. Local Time Invariant Learning from Industrial Big Data for Predictive Maintenance in Smart Manufacturing. 5.Integration of Industrial IoT and Big data Analytics for Smart Manufacturing Industries: Perspectives and Challenges. 6.Multimodal Architecture for Emotion Prediction in Videos using Ensemble Learning. 7. Deep PHM: IOT based Deep Learning approach on Prediction of Prognostics and Health Management of an Aircraft Engine. 8.A Comprehensive Study on Accelerating Smart Manufacturers using Ubiquitous Robotic Technology. 9.Machine Learning Techniques and Big Data Tools in Design and Manufacturing. 10.Principles of Comprehension of IoT and Smart Manufacturing System.
Big Data Analytics;Internet of things;Machine learning;Deep Learning;Industrial;Additive Manufacturing;Robotic;Big Data;IoT Device;Data Sets;RUL Prediction;Smart Manufacturing System;IoT System;PdM.;Hyperparameter Tuning;Cyber Physical Systems;IoT Protocol;IoT Sensor;MLP Model;Industrial IoT;Ml Algorithm;Ann Model;POMDP Model;Smart Factory;Turbofan Engine;Vibration Signals;IoT Network;IoT Ecosystem;RBF Kernel Function;Raw Vibration Signals;Product Life Cycle Data