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Computer programs and processes that take into account the goals
and needs of the user meet with the greatest success, so it
behooves software engineers to consider the human element inherent
in every line of code they write. Human Factors in Software
Development and Design brings together high quality research on the
influence and impact of ordinary people on the software industry.
With the goal of improving the quality and usability of computer
technologies, this premier reference is intended for students and
practitioners of software engineering as well as researchers,
educators, and interested laymen.
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Intelligent Technologies and Applications - Second International Conference, INTAP 2019, Bahawalpur, Pakistan, November 6-8, 2019, Revised Selected Papers (Paperback, 1st ed. 2020)
Imran Sarwar Bajwa, Tatjana Sibalija, Dayang Norhayati Abang Jawawi
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R3,000
Discovery Miles 30 000
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Out of stock
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This book constitutes the refereed proceedings of the Second
International Conference on Intelligent Technologies and
Applications, INTAP 2019, held in Bahawalpur, Pakistan, in November
2019. The 60 revised full papers and 6 revised short papers
presented were carefully reviewed and selected from 224
submissions. Additionally, the volume presents 1 invited paper. The
papers of this volume are organized in topical sections on AI and
health; sentiment analysis; intelligent applications; social media
analytics; business intelligence;Natural Language Processing;
information extraction; machine learning; smart systems; semantic
web; decision support systems; image analysis; automated software
engineering.
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Engineering Software for Modern Challenges - First International Conference, ESMoC 2021, Johor, Malaysia, October 20-21, 2021, Revised Selected Papers (Paperback, 1st ed. 2022)
Dayang Norhayati A. Jawawi, Imran Sarwar Bajwa, Rafaqut Kazmi
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R1,826
Discovery Miles 18 260
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Out of stock
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This volume constitutes selected papers presented at the First
International Conference on Engineering Software for Modern
Challenges, ESMoC 2021, held in Johor, Malaysia, in October 20-21,
2021. The 17 papers presented were thoroughly reviewed and selected
from the 167 submissions. They are organized in the topical
sections on software engineering; intelligent systems; software
quality.
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Intelligent Technologies and Applications - Third International Conference, INTAP 2020, Gjovik, Norway, September 28-30, 2020, Revised Selected Papers (Paperback, 1st ed. 2021)
Sule Yildirim Yayilgan, Imran Sarwar Bajwa, Filippo Sanfilippo
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R1,539
Discovery Miles 15 390
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Out of stock
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This book constitutes the refereed post-conference proceedings of
the Third International Conference on Intelligent Technologies and
Applications, INTAP 2020, held in Grimstad, Norway, in September
2020.The 30 revised full papers and 4 revised short papers
presented were carefully reviewed and selected from 117
submissions. The papers of this volume are organized in topical
sections on image, video processing and analysis; security and IoT;
health and AI; deep learning; biometrics; intelligent environments;
intrusion and malware detection; and AIRLEAs.
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Intelligent Technologies and Applications - First International Conference, INTAP 2018, Bahawalpur, Pakistan, October 23-25, 2018, Revised Selected Papers (Paperback, 1st ed. 2019)
Imran Sarwar Bajwa, Fairouz Kamareddine, Anna Costa
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R3,011
Discovery Miles 30 110
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Out of stock
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This book constitutes the refereed proceedings of the First
International Conference on Intelligent Technologies and
Applications, INTAP 2018, held in Bahawalpur, Pakistan, in October
2018. The 68 revised full papers and 6 revised short papers
presented were carefully reviewed and selected from 251
submissions. The papers of this volume are organized in topical
sections on AI and health; sentiment analysis; intelligent
applications; social media analytics; business intelligence;Natural
Language Processing; information extraction; machine learning;
smart systems; semantic web; decision support systems; image
analysis; automated software engineering.
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Intelligent Technologies and Applications - 4th International Conference, INTAP 2021, Grimstad, Norway, October 11-13, 2021, Revised Selected Papers (Paperback, 1st ed. 2022)
Filippo Sanfilippo, Ole-Christoffer Granmo, Sule Yildirim Yayilgan, Imran Sarwar Bajwa
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R2,614
Discovery Miles 26 140
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Ships in 12 - 17 working days
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This book constitutes the refereed proceedings of the 4th
International Conference on Intelligent Technologies and
Applications, INTAP 2021, held in Grimstad, Norway, October 11-13,
2021. The 33 full papers included in this book were carefully
reviewed and selected from 243 submissions. They were organized in
topical sections as follows: Intelligence, Decision support
systems, IoT; Robotics; ML and AI for Intelligent Health,
Applications of intelligent technologies in Emergency Management;
Smart Electrical Energy Systems, AI and ML in Security; ML and AI
for sensing technologies, Social Media Analytics; ML in energy
sectors and materials; and Miscellaneous.
World Wide Web is enormous compilation of multi- variant data. For
better knowledge management it is important to retrieve accurate
and complete data. The hidden Web, also known as the invisible Web
or deep Web, has given rise to a new issue of Web mining research.
Most documents in the hidden Web, including pages hidden behind
search forms, specialized databases, and dynamically generated Web
pages, are not accessible by general Web mining application. In
this paper a system is designed that has a robust ability to access
these hidden web pages using web structure mining techniques for
better knowledge management. As dynamic content generation is used
in modern web pages and user forms are used to get information from
a particular user and stored in a database. The link structure
lying in these forms can not be accessed during conventional mining
procedures. The accuracy ratio of web page hierarchical structures
can be improved by including these hidden web pages in the process
of Web structure mining. The designed system is adequately strong
to process the dynamic Web pages along with static ones.
An automatic classification system is presented, which
discriminates the different types of single- layered clouds using
Principal Component Analysis (PCA) with enhanced accuracy and
provides fast processing speed as compared to other techniques. The
system is first trained by cloud images. In training phase, system
reads major principal features of the different cloud images to
produce an image space. In testing phase, a new cloud image can be
classified by comparing it with the specified image space using the
PCA algorithm. Weather forecasting applications use various pattern
recognition techniques to analyze clouds' information and other
meteorological parameters. Neural Networks is an often-used
methodology for image processing. Some statistical methodologies
like FDA, RBFNN and SVM are also being used for image analysis.
These methodologies require more training time and have limited
accuracy of about 70%. This level of accuracy often degrades
classification of clouds, and hence the accuracy of rain and other
weather predictions is reduced. PCA algorithm provides a more
accurate cloud classification that yield better and concise
forecasting of rain.
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