Research Advances in Intelligent Computing

Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Lalit Garg, Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Lalit Garg

• Editore: CRC Press
• Anno: 2023
• ISBN:
  9781000835939
• Edizione: 1
• Argomento: Informatica
• Categoria: Intelligenza artificiale (IA) e semantica

1. The book will discuss most recent real-life applications and case studies of Intelligent Computing techniques.
2. The book will provide deeper knowledge regarding emerging research trends and future research directions in Intelligent Computing.
3. The book will provide theoretical, algorithmic, simulation, and implementation-based research developments in Intelligent Computing.
4. The book will follow theoretical approach to describe fundamentals of Intelligent Computing techniques for the beginners as well as practical approach to depict simulation and implementation of real-life applications for intermediate and advanced readers.

Indice dei contenuti

• Cover Page
• Half-Title Page
• Title Page
• Copyright Page
• Contents
• Preface
• Acknowledgments
• About the Editors
• List of Contributors
• Chapter 1 RNN-Based Machine Translation for Indian Languages
• Chapter 2 Dynamic Movie Ticket Price Prediction Using Machine Learning
• Chapter 3 Designing a GUI for Offline Text-Independent Writer Identification System
• Chapter 4 Soil Fertility Prediction Using a Soft Computing Approach
• Chapter 5 Psychological Distress Detection, Classification and Assistance Using AI
• Chapter 6 Fast and Efficient Text Searching in Compressed Data Using Burrows–Wheeler Transform
• Chapter 7 A Comprehensive Exploration of Brain Tumor Segmentation Using Deep Learning Techniques
• Chapter 8 Hand Sign Recognition Using LeNet-like Architecture
• Chapter 9 Automated Kinship Recognition through Facial Feature Matching
• Chapter 10 Ensemble Convolutional Neural Network: A Bidimensional EMD Model for ECG Denoising
• Chapter 11 Wrapper-Based Feature Selection for Big Data Using a Multi-Core Environment
• Chapter 12 MDAKB: A Metadata-Driven Approach for Multilingual Knowledge Base Generation for Agricultural Domains in the Indian Context
• Chapter 13 Melanoma Prediction from Skin Lesions Using Convolutional Neural Network against the Support Vector Machine Learning Algorithm to Achieve Maximum Accuracy and Minimum Loss
• Chapter 14 Fusion-Based Morphological Watershed Segmentation Algorithm for Medical Images
• Chapter 15 Music Recommendation System to Address the Problem of Long Tail Using Multi-Stage Graph
• Chapter 16 Speech-Based Access of Agricultural Commodity Prices and Weather Information in the Kannada Language and Its Dialects
• Chapter 17 Weather Classification: Image Embedding Using Convolutional Autoencoder and Predictive Analysis Based on Stacked Generalization
• Chapter 18 COVID-19 Confirmed Case Prediction after Vaccination Using Deep Learning Models
• Chapter 19 Recognition Model for Facial Expression Using Machine Learning
• Chapter 20 Sentiment Analysis and Sarcasm Detection in Indian General Election Tweets
• Chapter 21 Image Generation Using Deep Convolutional Generative Adversarial Networks
• Chapter 22 Human Activity Identification Using Artificial Intelligence
• Chapter 23 Heartbeat-Based Failure Detector of Perfect P Class for Synchronous Hierarchical Distributed Systems
• Index