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Research Advances in Intelligent Computing

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advanced neural network optimization
Age Group_Uncategorized
Age Group_Uncategorized
agricultural data modeling
algorithmic
and implementation-based recent research advancements related to the Intelligent Computing
artificial intelligence
ASR System
automatic-update
B01=Anshul Verma
B01=Kiran Kumar Pattanaik
B01=Lalit Garg
B01=Pradeepika Verma
big data feature selection
biomedical image analysis
Category1=Non-Fiction
Category=KJT
Category=UFL
Category=UT
Category=UYQE
Category=UYQN
CNN Architecture
CNN Model
computational intelligence
Convolutional Layer
COP=United Kingdom
Deep Learning Model
Delivery_Pre-order
Denoised Images
Elm
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
F1 Score
Face Detection
fuzzy logic systems
genetic algorithms
Grey Wolf Optimization Algorithm
GWO
Heartbeat Message
intelligent computing
Language_English
machine learning
Ml Algorithm
MT
natural language understanding
neural networks
PA=Not yet available
Price_€50 to €100
PS=Forthcoming
RF
RF Ml Algorithm
RNN
Sift Key Point
simulation
softlaunch
Soil Fertility
Soil Fertility Index
Surf Descriptor
SVM
SVM Algorithm
swarm intelligence
theoretical
Watershed Segmentation Algorithm
Word Embedding

Product details

  • ISBN 9781032340524
  • Weight: 500g
  • Dimensions: 156 x 234mm
  • Publication Date: 29 Nov 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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Description

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.