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. .