Applied Intelligence for Industry 4.0
Applied Intelligence for Industry 4.0
Arefin, Mohammad Shamsul; Kayes, ASM; Siddique, Nazmul; Kaiser, M Shamim
Taylor & Francis Ltd
06/2023
260
Dura
Inglês
9781032164151
15 a 20 dias
Descrição não disponível.
Multi-labelled Bengali Public Comments Sentiment Analysis with Bidirectional Recurrent Neural Networks (Bi-RNN). 2. Machine Learning and Blockchain based Privacy-aware: Cognitive Radio Internet of Things. 3. Machine Learning Based Models for Predicting Autism Spec-trum Disorders. 4. Implementing Machine Learning Through the Neural Network for the Time Delay SIR Epidemic Model for the Future Forecast. 5. Prediction of PCOS Using Machine Learning and Deep Learning Algorithms. 6. Malware Detection: Performance Evaluation of ML Algo-rithms based on Feature Selection and ANOVA. 7. An Efficient Approach to Assess the Soil Quality of Sundar-bans Utilizing Hierarchical Clustering. 8. A Machine Learning Approach to Clinically Diagnose Human Pyrexia Cases. 9. Prediction of the Dengue Incidence in Bangladesh using Ma-chine Learning. 10. Detecting DNS over HTTPS Traffic Using Ensemble Feature Based Machine Learning. 11. Development of Risk-Free COVID-19 Screening Algorithm from Routine Blood Test using Ensemble Machine Learning. 12. A Transfer Learning Approach to Recognize Pedestrian At-tributes. 13.TF-IDF Feature-based Spam Filtering of Mobile SMS using Machine Learning Approach. 14. Content-based Spam Email Detection Using N-gram Machine Learning Approach. 15. AI Poet: A Deep Learning Based Approach to Generate Arti-ficial Poetry in Bangla. 16. Document Level Comparative Sentiment Analysis on Bangla News using Long-Short Term Memory and Machine Learning Approaches. 17. Employee Turnover Prediction Using Machine Learning Ap-proach. 18. A Dynamic Topic Identification and Labeling Approach of COVID-19 Tweets. 19. Analyzing IT Job Market and Classifying IT Jobs Using Ma-chine Learning Algorithms
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computational intelligence;neural network models;cyber security analytics;transfer learning methods;autonomous systems engineering;smart sensor networks;machine learning for industrial diagnosis
Multi-labelled Bengali Public Comments Sentiment Analysis with Bidirectional Recurrent Neural Networks (Bi-RNN). 2. Machine Learning and Blockchain based Privacy-aware: Cognitive Radio Internet of Things. 3. Machine Learning Based Models for Predicting Autism Spec-trum Disorders. 4. Implementing Machine Learning Through the Neural Network for the Time Delay SIR Epidemic Model for the Future Forecast. 5. Prediction of PCOS Using Machine Learning and Deep Learning Algorithms. 6. Malware Detection: Performance Evaluation of ML Algo-rithms based on Feature Selection and ANOVA. 7. An Efficient Approach to Assess the Soil Quality of Sundar-bans Utilizing Hierarchical Clustering. 8. A Machine Learning Approach to Clinically Diagnose Human Pyrexia Cases. 9. Prediction of the Dengue Incidence in Bangladesh using Ma-chine Learning. 10. Detecting DNS over HTTPS Traffic Using Ensemble Feature Based Machine Learning. 11. Development of Risk-Free COVID-19 Screening Algorithm from Routine Blood Test using Ensemble Machine Learning. 12. A Transfer Learning Approach to Recognize Pedestrian At-tributes. 13.TF-IDF Feature-based Spam Filtering of Mobile SMS using Machine Learning Approach. 14. Content-based Spam Email Detection Using N-gram Machine Learning Approach. 15. AI Poet: A Deep Learning Based Approach to Generate Arti-ficial Poetry in Bangla. 16. Document Level Comparative Sentiment Analysis on Bangla News using Long-Short Term Memory and Machine Learning Approaches. 17. Employee Turnover Prediction Using Machine Learning Ap-proach. 18. A Dynamic Topic Identification and Labeling Approach of COVID-19 Tweets. 19. Analyzing IT Job Market and Classifying IT Jobs Using Ma-chine Learning Algorithms
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.