Although the field of intelligent systems has grown rapidly in
recent years, there has been a need for a book that supplies a
timely and accessible understanding of this important technology.
Filling this need, Case Studies in Intelligent Computing:
Achievements and Trends provides an up-to-date introduction to
intelligent systems. This edited book captures the state of the art
in intelligent computing research through case studies that examine
recent developments, developmental tools, programming, and
approaches related to artificial intelligence (AI). The case
studies illustrate successful machine learning and AI-based
applications across various industries, including: A non-invasive
and instant disease detection technique based upon machine vision
through the image scanning of the eyes of subjects with
conjunctivitis and jaundice Semantic orientation-based approaches
for sentiment analysis An efficient and autonomous method for
distinguishing application protocols through the use of a dynamic
protocol classification system Nonwavelet and wavelet image
denoising methods using fuzzy logic Using remote sensing inputs
based on swarm intelligence for strategic decision making in modern
warfare Rainfall-runoff modeling using a wavelet-based artificial
neural network (WANN) model Illustrating the challenges currently
facing practitioners, the book presents powerful solutions recently
proposed by leading researchers. The examination of the various
case studies will help you develop the practical understanding
required to participate in the advancement of intelligent computing
applications. The book will help budding researchers understand how
and where intelligent computing can be applied. It will also help
more established researchers update their skills and fine-tune
their approach to intelligent computing.
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