Recurrent Neural Networks
portes grátis
Recurrent Neural Networks
Concepts and Applications
Abraham, Ajith; Kumar Tyagi, Amit
Taylor & Francis Ltd
10/2024
396
Mole
9781032310565
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Section I: Introduction 1. A Road Map to Artificial Neural Network 2. Applications of Recurrent Neural Network: Overview and Case Studies 3. Image to Text Processing Using Convolution Neural Networks 4. Fuzzy Orienteering Problem Using Genetic Search 5. A Comparative Analysis of Stock Value Prediction Using Machine Learning Technique Section II: Process and Methods 6. Developing Hybrid Machine Learning Techniques to Forecast the Water Quality Index (DWM-Bat & DMARS) 7. Analysis of RNNs and Different ML and DL Classifiers on Speech- Based Emotion Recognition System Using Linear and Nonlinear Features 8. Web Service User Diagnostics with Deep Learning Architectures 9. D-SegNet: A Modified Encoder-Decoder Approach for Pixel-Wise Classification of Brain Tumor from MRI Images 10. Data Analytics for Intrusion Detection System Based on Recurrent Neural Network and Supervised Machine Learning Methods Section III: Applications 11. Triple Steps for Verifying Chemical Reaction Based on Deep Whale Optimization Algorithm (VCR-WOA) 12. Structural Health Monitoring of Existing Building Structures for Creating Green Smart Cities Using Deep Learning 13 Artificial Intelligence-Based Mobile Bill Payment System Using Biometric Fingerprint 14. An Efficient Transfer Learning-Based CNN Multi-Label Classification and ResUNET Based Segmentation of Brain Tumor in MRI 15. Deep Learning-Based Financial Forecasting of NSE Using Sentiment Analysis 16. An Efficient Convolutional Neural Network with Image Augmentation for Cassava Leaf Disease Detection Section IV: Post-COVID-19 Futuristic Scenarios- Based Applications: Issues and Challenges 17. AI-Based Classification and Detection of COVID-19 on Medical Images Using Deep Learning 18. An Innovative Electronic Sterilization System (S-Vehicle, NaOCI.5H2O and CeO2NP) 19. Comparative Forecasts of Confirmed COVID-19 Cases in Botswana Using Box-Jenkin's ARIMA and Exponential Smoothing State-Space Models 20. Recent Advancement in Deep Learning: Open Issues, Challenges, and a Way Forward
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Neural Network Model;Language Modeling;Feed-forward Network;Neural Turing Machines;Computational Analysis;Recurrent and Folding Networks;Recurrent Neural Networks;DNN Model;CNN Architecture;Smart Phone;Convolutional Layers;DNN;Max Pooling Layer;LSTM;ARIMA Model;CNN Model;Execution Time;Sgd;Simple RNN;Convolution Layer;SVM;Random Forest;Feature Extraction;TL;Deep Learning;Op;Mri Image;Neural Network;Mars Algorithm;EEG Dataset;Stock Price Prediction
Section I: Introduction 1. A Road Map to Artificial Neural Network 2. Applications of Recurrent Neural Network: Overview and Case Studies 3. Image to Text Processing Using Convolution Neural Networks 4. Fuzzy Orienteering Problem Using Genetic Search 5. A Comparative Analysis of Stock Value Prediction Using Machine Learning Technique Section II: Process and Methods 6. Developing Hybrid Machine Learning Techniques to Forecast the Water Quality Index (DWM-Bat & DMARS) 7. Analysis of RNNs and Different ML and DL Classifiers on Speech- Based Emotion Recognition System Using Linear and Nonlinear Features 8. Web Service User Diagnostics with Deep Learning Architectures 9. D-SegNet: A Modified Encoder-Decoder Approach for Pixel-Wise Classification of Brain Tumor from MRI Images 10. Data Analytics for Intrusion Detection System Based on Recurrent Neural Network and Supervised Machine Learning Methods Section III: Applications 11. Triple Steps for Verifying Chemical Reaction Based on Deep Whale Optimization Algorithm (VCR-WOA) 12. Structural Health Monitoring of Existing Building Structures for Creating Green Smart Cities Using Deep Learning 13 Artificial Intelligence-Based Mobile Bill Payment System Using Biometric Fingerprint 14. An Efficient Transfer Learning-Based CNN Multi-Label Classification and ResUNET Based Segmentation of Brain Tumor in MRI 15. Deep Learning-Based Financial Forecasting of NSE Using Sentiment Analysis 16. An Efficient Convolutional Neural Network with Image Augmentation for Cassava Leaf Disease Detection Section IV: Post-COVID-19 Futuristic Scenarios- Based Applications: Issues and Challenges 17. AI-Based Classification and Detection of COVID-19 on Medical Images Using Deep Learning 18. An Innovative Electronic Sterilization System (S-Vehicle, NaOCI.5H2O and CeO2NP) 19. Comparative Forecasts of Confirmed COVID-19 Cases in Botswana Using Box-Jenkin's ARIMA and Exponential Smoothing State-Space Models 20. Recent Advancement in Deep Learning: Open Issues, Challenges, and a Way Forward
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Neural Network Model;Language Modeling;Feed-forward Network;Neural Turing Machines;Computational Analysis;Recurrent and Folding Networks;Recurrent Neural Networks;DNN Model;CNN Architecture;Smart Phone;Convolutional Layers;DNN;Max Pooling Layer;LSTM;ARIMA Model;CNN Model;Execution Time;Sgd;Simple RNN;Convolution Layer;SVM;Random Forest;Feature Extraction;TL;Deep Learning;Op;Mri Image;Neural Network;Mars Algorithm;EEG Dataset;Stock Price Prediction
