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E-grāmata: Research Advances in Intelligent Computing

Edited by (Atal Bihari Vajpayee Indian Institute of Information, India), Edited by (IIT (BHU), India), Edited by (Banaras Hindu University, India), Edited by (University of Malta Faculty of Information and Communications Technology, Malta)
  • Formāts: 330 pages
  • Izdošanas datums: 23-Mar-2023
  • Izdevniecība: CRC Press
  • Valoda: eng
  • ISBN-13: 9781000835922
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Research Advances in Intelligent ComputingPalielināt
  • Formāts: 330 pages
  • Izdošanas datums: 23-Mar-2023
  • Izdevniecība: CRC Press
  • Valoda: eng
  • ISBN-13: 9781000835922
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"Since the invention of computers or machines, scientists and researchers are trying very hard to enhance their capabilities to perform various tasks. As a consequence, 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 the computers or machines as intelligent as human beings. Artificial Intelligence (AI) came up as a way of making a computer or computer software think in the similar manner the intelligent humans think. AI is inspired by the study of human brain like 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 capability of reasoning, learning, problem solving, perception, and linguistic intelligence. The IC systems consist of AI techniques as well as other emerging techniques that make a system intelligent. The use of intelligent computing 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. Now a days, the use of IC can also be seen for solving various complex problems in diverse domains such as for predicting disease in medical science, predicting land fertility or crop productivity in agriculture science, predicting market growth in economics, weather forecasting and so on. For all these reasons, this book presents the advances in AI techniques, under the umbrella of IC. In this context, the book includes the recent research works have 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 provides theoretical, algorithmic, simulation, and implementation-based recent research advancements related to the Intelligent Computing"--

This book presents the advances in AI techniques under the umbrella of Intelligent Computing. The book provides theoretical, algorithmic, simulation, and implementation-based recent research advancements related to the 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.
2. Dynamic Movie
Ticket Price Prediction Using Machine Learning.
3. Designing a GUI for
Offline Text Independent Writer Identification System.
4. Soil Fertility
Prediction using Soft Computing Approach.
5. Psychological Distress
Detection, Classification and Assistance using AI.
6. Fast and Efficient Text
Searching in Compressed Data using Burrows Wheeler Transform.
7. A
Comprehensive Exploration of Brain Tumor Segmentation using Deep Learning
Technique.
8. Hand Sign Recognition using LeNet like Architecture.
9.
Automated Kinship Recognition through Facial Feature Matching.
10. Ensemble
Convolutional Neural Network Bidimensional EMD Model for ECG Denoising.
11.
Wrapper based Feature Selection for Big Data using Multi-core Environment.
12. MDAKB: A Metadata Driven Approach for Multi-Lingual Knowledge Base
Generation for Agriculture Domain in the Indian Context .13. Melanoma
Prediction from Skin Lesion using Convolutional Neural Network Against
Support Vector Machine Learning Algorithm to Achieve Maximum Accuracy and
Minimum Loss.
14. Fusion Based Morphological Watershed Segmentation Algorithm
for Medical Images.
15. Music Recommendation System to Address the Problem of
Long Tail Using Multi Stage Graph.
16. Speech based Access of Agricultural
Commodity Prices and Weather Information in Kannada Language/Dialects.
17.
Weather Classification: Image Embedding using Convolutional Autoencoder and
Predictive Analysis using Stacked Generalization.
18. COVID-19 Confirmed
Cases Prediction After Vaccination using Deep Learning Models.
19.
Recognition Model for Facial Expression Using Machine Learning.
20. Sentiment
Analysis and Sarcasm Detection of Indian General Election Tweets.
21. Image
Generation Using Deep Convolutional Generative Adversarial Networks.
22.
Person Activity Identification using Artificial Intelligence.
23. Heartbeat
based Failure Detector of Perfect P Class for Synchronous Hierarchical
Distributed Systems.
Anshul Verma, Lalit Garg
Biežāk uzdotie jautājumi par e-grāmatām Biežāk uzdotie jautājumi par e-grāmatām
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