1st Edition
Research Advances in Intelligent Computing
Since the invention of computers and other similar machines, scientists and researchers have been trying very hard to enhance their capabilities to perform various tasks. As a result, the capabilities of computers are growing exponentially day by day in terms of diverse working domains, versatile jobs, processing speed, and reduced size. Now, we are in the race to make these machines as intelligent as human beings. Artificial intelligence (AI) came up as a way of making a computer or computer software think in a similar manner to the way that humans think. AI is inspired by the study of human brain, including how humans think, learn, decide, and act while trying to solve a problem. The outcomes of this study are the basis of developing intelligent software and systems or intelligent computing (IC).
An IC system has the capabilities of reasoning, learning, problem-solving, perception, and linguistic intelligence. IC systems consist of AI techniques as well as other emerging techniques that make a system intelligent. The use of IC has been seen in almost every sub-domain of computer science such as networking, software engineering, gaming, natural language processing, computer vision, image processing, data science, robotics, expert systems, and security. Nowadays, IC is also useful for solving various complex problems in diverse domains such as for predicting disease in medical science, predicting land fertility or crop productivity in agricultural science, predicting market growth in economics, and weather forecasting.
For all these reasons, this book presents the advances in AI techniques, under the umbrella of IC. In this context, the book includes recent research that has been done in the areas of machine learning, neural networks, deep learning, evolutionary algorithms, genetic algorithms, swarm intelligence, fuzzy systems, and so on. This book discusses recent theoretical, algorithmic, simulation, and implementation-based advancements related to IC.
1. RNN-Based Machine Translation for Indian Languages
Shashi Pal Singh, Ajai Kumar, and Meenal Jain
2. Dynamic Movie Ticket Price Prediction Using Machine Learning
Kibballi Aditya Shastry
3. Designing a GUI for Offline Text-Independent Writer Identification System
Sreejita Chakrabarti and Pawan Kumar Singh
4. Soil Fertility Prediction Using a Soft Computing Approach
Yogesh R. Shahare, Mukund Pratap Singh, and Sanjeev Kumar
5. Psychological Distress Detection, Classification and Assistance Using AI
Sarah Gawde, Arnab Ghorai, Jeet Mishra, and Dhananjay Kalbande
6. Fast and Efficient Text Searching in Compressed Data Using Burrows--Wheeler Transform
Sanjeev Kumar and Mukund Pratap Singh
7. A Comprehensive Exploration of Brain Tumor Segmentation Using Deep Learning Techniques
Hariharan Ramamoorthy, Mohan Ramasundaram, and Arish Pitchai
8. Hand Sign Recognition Using LeNet-like Architecture
Hariharan Ramamoorthy, Dhilsath Fathima Mohamed Mohideen, and Arish Pitchai
9. Automated Kinship Recognition through Facial Feature Matching
Gunjan Chhabra and Rashmi Sharma
10. Ensemble Convolutional Neural Network: A Bidimensional EMD Model for ECG Denoising
Parvathy Rema and Manju Bhaskara Panicker Radha
11. Wrapper-Based Feature Selection for Big Data Using a Multi-Core Environment
Subhash Kamble, Arunalatha Jakkanahally Siddegowda, and Venugopal Kuppanna Rajuk
12. MDAKB: A Metadata-Driven Approach for Multilingual Knowledge Base Generation for Agricultural Domains in the Indian Context
Arulmozhi Varman Murugesan and Gerard Deepak
13. Melanoma Prediction from Skin Lesions Using Convolutional Neural Network against the Support Vector Machine Learning Algorithm to Achieve Maximum Accuracy and Minimum Loss
Saravanan Madderi Sivalingam, Pradnya Patil, and Sivakumar Ramachandran
14. Fusion-Based Morphological Watershed Segmentation Algorithm for Medical Images
Kavitha Kattigehalli Jayanna and Priestly B. Shan
15. Music Recommendation System to Address the Problem of Long Tail Using Multi-Stage Graph
Mallannagari Sunitha, Thondepu Adilakshmi, and Yashfeen Zehra
16. Speech-Based Access of Agricultural Commodity Prices and Weather Information in Kannada Language and Its Dialects
Thimmaraja Yadava Gopalappa, Nagaraja Benageri Gnaneshwara, and Haradagere Siddaramaiah Jayanna
17. Weather Classification: Image Embedding Using Convolutional Autoencoder and Predictive Analysis Based on Stacked Generalization
Anish Sudhir Ghiya, Vaibhav Vijay, Aditi Ranganath, Prateek Chaturvedi,
Sharmila Banu Kather, and Balakrushna Tripathy
18. COVID-19 Confirmed Case Prediction after Vaccination Using Deep Learning Models
Nigam Patel, Sahil Kumar Narola, Shubham Chaudhari, and Vishwa Dave
19. Recognition Model for Facial Expression Using Machine Learning
Shanmuganathan Chandrasekaran, Menaka Suman, and N. V. S. K. Vijayalakshmi Kathari
20. Sentiment Analysis and Sarcasm Detection in Indian General Election Tweets
Arpit Khare, Amisha Gangwar, Sudhakar Singh, and Shiv Prakash
21. Image Generation Using Deep Convolutional Generative Adversarial Networks
Abhishek Aryan, Vignesh Kashyap, and Anurag Goel
22. Human Activity Identification Using Artificial Intelligence
Srikanth Bethu, Machikuri Santoshi Kumari, Chintha Sravani, Srinivasulu Gari Bhargavi Latha,
and Suresh Mamidisetti
23. Heartbeat-Based Failure Detector of Perfect P Class for Synchronous Hierarchical Distributed Systems
Bhavana Chaurasia, Anshul Verma, and Pradeepika Verma
Biography
Anshul Verma, Lalit Garg
