Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0
portes grátis
Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0
Zalte-Gaikwad, Sheetal S.; Chatterjee, Indranath; Kamat, Rajanish K.
Taylor & Francis Ltd
11/2022
204
Dura
Inglês
9781032245089
15 a 20 dias
557
Descrição não disponível.
1. Big Data Based on Fuzzy Time-Series Forecasting for Stock Index Prediction.
2. Big Data-Based Time-Series Forecasting Using FbProphet for Stock Index.
3. The Impact Of Artificial Intelligence and Big Data in the Postal Sector.
4. Advances in Cloud Technologies and Future Trends.
5. Reinforcement of the Multi-Cloud Infrastructure with Edge Computing.
6. Study and Investigation of PKI-Based Blockchain Infrastructure.
7. Stock Index Forecasting Using Stacked Long Short-Term Memory (LSTM): Deep Learning and Big Data.
8. A Comparative Study and Analysis of Time-Series and Deep Learning Algorithms for Bitcoin Price Prediction.
9. Machine Learning for Healthcare.
10. Transfer Learning and Fine-Tuning-Based Early Detection of Cotton Plant Disease.
11. Recognition of Facial Expressions of Infrared Images for Lie Detection with the Use of Support Vector Machines.
12. Support Vector Machines for the Classification of Remote Sensing Images: A Review.
13. A Study on Data Cleaning of Hydrocarbon Resources under Deep Sea Water Using Imputation Technique-Based Data Science Approaches.
2. Big Data-Based Time-Series Forecasting Using FbProphet for Stock Index.
3. The Impact Of Artificial Intelligence and Big Data in the Postal Sector.
4. Advances in Cloud Technologies and Future Trends.
5. Reinforcement of the Multi-Cloud Infrastructure with Edge Computing.
6. Study and Investigation of PKI-Based Blockchain Infrastructure.
7. Stock Index Forecasting Using Stacked Long Short-Term Memory (LSTM): Deep Learning and Big Data.
8. A Comparative Study and Analysis of Time-Series and Deep Learning Algorithms for Bitcoin Price Prediction.
9. Machine Learning for Healthcare.
10. Transfer Learning and Fine-Tuning-Based Early Detection of Cotton Plant Disease.
11. Recognition of Facial Expressions of Infrared Images for Lie Detection with the Use of Support Vector Machines.
12. Support Vector Machines for the Classification of Remote Sensing Images: A Review.
13. A Study on Data Cleaning of Hydrocarbon Resources under Deep Sea Water Using Imputation Technique-Based Data Science Approaches.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Data Analytics;IoT;Internet of Things;Supercomputer Applications;Information Systems;Manufacturing and Production;SVM;Fuzzy Time Series;Bitcoin Price;Normal RMSE;BSE SENSEX;VMs;SVM Classifier;RNN;Korea Composite Stock Price Index;Fuzzy Logical Relationships;Cloud Computing;Taiwan Stock Exchange;Machine Learning Models;Fuzzy Time Series Model;UCI Repository;PACF Plot;ARIMA Model;PKI;Traditional PKI;Lasso Algorithm;Smart Contracts;Satellite Remote Sensing Images;Forecasting Graph;PKI System;Distributed Hash Table
1. Big Data Based on Fuzzy Time-Series Forecasting for Stock Index Prediction.
2. Big Data-Based Time-Series Forecasting Using FbProphet for Stock Index.
3. The Impact Of Artificial Intelligence and Big Data in the Postal Sector.
4. Advances in Cloud Technologies and Future Trends.
5. Reinforcement of the Multi-Cloud Infrastructure with Edge Computing.
6. Study and Investigation of PKI-Based Blockchain Infrastructure.
7. Stock Index Forecasting Using Stacked Long Short-Term Memory (LSTM): Deep Learning and Big Data.
8. A Comparative Study and Analysis of Time-Series and Deep Learning Algorithms for Bitcoin Price Prediction.
9. Machine Learning for Healthcare.
10. Transfer Learning and Fine-Tuning-Based Early Detection of Cotton Plant Disease.
11. Recognition of Facial Expressions of Infrared Images for Lie Detection with the Use of Support Vector Machines.
12. Support Vector Machines for the Classification of Remote Sensing Images: A Review.
13. A Study on Data Cleaning of Hydrocarbon Resources under Deep Sea Water Using Imputation Technique-Based Data Science Approaches.
2. Big Data-Based Time-Series Forecasting Using FbProphet for Stock Index.
3. The Impact Of Artificial Intelligence and Big Data in the Postal Sector.
4. Advances in Cloud Technologies and Future Trends.
5. Reinforcement of the Multi-Cloud Infrastructure with Edge Computing.
6. Study and Investigation of PKI-Based Blockchain Infrastructure.
7. Stock Index Forecasting Using Stacked Long Short-Term Memory (LSTM): Deep Learning and Big Data.
8. A Comparative Study and Analysis of Time-Series and Deep Learning Algorithms for Bitcoin Price Prediction.
9. Machine Learning for Healthcare.
10. Transfer Learning and Fine-Tuning-Based Early Detection of Cotton Plant Disease.
11. Recognition of Facial Expressions of Infrared Images for Lie Detection with the Use of Support Vector Machines.
12. Support Vector Machines for the Classification of Remote Sensing Images: A Review.
13. A Study on Data Cleaning of Hydrocarbon Resources under Deep Sea Water Using Imputation Technique-Based Data Science Approaches.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Data Analytics;IoT;Internet of Things;Supercomputer Applications;Information Systems;Manufacturing and Production;SVM;Fuzzy Time Series;Bitcoin Price;Normal RMSE;BSE SENSEX;VMs;SVM Classifier;RNN;Korea Composite Stock Price Index;Fuzzy Logical Relationships;Cloud Computing;Taiwan Stock Exchange;Machine Learning Models;Fuzzy Time Series Model;UCI Repository;PACF Plot;ARIMA Model;PKI;Traditional PKI;Lasso Algorithm;Smart Contracts;Satellite Remote Sensing Images;Forecasting Graph;PKI System;Distributed Hash Table
