Part 1: Artificial Intelligence and Machine Learning
Chapter 1. DCLL - A Deep Network for Possible Real-time Decoding of Imagined Words
Chapter 2. Towards Frugal Artificial Intelligence: Exploring neural network pruning and binarization
Chapter 3. Practical Implications of Dequantization on Machine Learning Algorithms: A Survey
Chapter 4. Encoder-Decoder Network with Guided Transmission Map: Robustness and Applicability
Chapter 5. Development of NN-based Ball Bearing Fault Diagnosis Techniques
Chapter 6. A data analytics-based study on campaigns and hashtags movements related to the production of fashion goods
Chapter 7. Gradual Search and Fixed Grouping Scheme based Variant of Genetic Algorithm for Large Scale Global Optimization
Chapter 8. Generalized symbolic dynamics weighted network prediction of chaotic time series
Chapter 9. Automated Reduction of Detailed Biophysical Cerebellar Neurons to Izhikevich Neurons+D14
Chapter 10. Segmentation Approach for Nucleus Cytoplasm of Ewing sarco
Chapter 11. Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification
Part 2: Natural Language Processing
Chapter 12. Abstractive Text Summarization of Hindi Corpus using Transformer Encoder-Decoder Model
Chapter 13. Automatic Text Classification for Web-based Malayalam Documents
Chapter 14. Question and Answer Generation from Text using Transformers
Chapter 15. A Comparative Study of Spam SMS Detection using various Supervised Machine Learning Algorithms. etc. .