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Proceedings of International Conference on Trends in Computational and Cognitive Engineering: Proceedings of TCCE 2020

Proceedings of International Conference on Trends in Computational and Cognitive Engineering: Proceedings of TCCE 2020

Publisher Springer, Berlin
Year
Pages 723
Version paperback
Language English
ISBN 9789813346727
Categories Artificial intelligence
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Book description

This book presents various computational and cognitive modeling approaches in the areas of health, education, finance, environment, engineering, commerce, and industry. It is a collection of selected conference papers presented at the International Conference on Trends in Computational and Cognitive Engineering (TCCE 2020). It shares cutting-edge insights and ideas from mathematicians, engineers, scientists, and researchers and discusses fresh perspectives on problem solving in a range of research areas.

Proceedings of International Conference on Trends in Computational and Cognitive Engineering: Proceedings of TCCE 2020

Table of contents

Chapter 1. Bangla Real-Word Error Detection and Correction Using Bidirectional LSTM and Bigram Hybrid Model.- Chapter 2. Quantitative Analysis of Deep CNNs for Multilingual Handwritten Digit Recognition.- Chapter 3. Performance Analysis of Machine Learning Approaches in SoftwareComplexity Prediction.- Chapter 4. Bengali Abstractive News Summarization (BANS): A Neural Attention Approach.- Chapter 5. Application of Feature Engineering with Classification Techniques toEnhance Corporate Tax Default Detection Performance.- Chapter 6. PRCMLA: Product Review Classification using Machine Learning Algorithms.- Chapter 7. Handwritten Bangla Character Recognition Using Deep Convolutional Neural Network: Comprehensive Analysis on Three Complete Datasets.- Chapter 8. Handwritten Bangla Character Recognition Using ConvolutionalNeural Network and Bidirectional Long Short-Term Memory.- Chapter 9. Bangla Text Generation Using Bidirectional Optimized Gated Recurrent Unit Network.- Chapter 10. An ANN-based Approach to Identify Smart Appliances for Ambient Assisted Living (AAL) in the Smart Space.

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