The Second International Conference on Innovations in Computing
Research (ICR’23) brings together a diverse group of researchers
from all over the world with the intent of fostering collaboration
and dissemination of the innovations in computing technologies. The
conference is aptly segmented into six tracks: Data Science,
Computer and Network Security, Health Informatics and Medical
Imaging, Computer Science and Computer Engineering Education,
Internet of Things, and Smart Cities/Smart Energy. These tracks aim
to promote a birds-of-the-same-feather congregation and maximize
participation. The Data Science track covers a wide range of topics
including complexity score for missing data, deep learning and fake
news, cyberbullying and hate speech, surface area estimation,
analysis of gambling data, car accidents predication model,
augmenting character designers’ creativity, deep learning for
road safety, effect of sleep disturbances on the quality of sleep,
deep learning-based path-planning, vehicle data collection and
analysis, predicting future stocks prices, and trading robot for
foreign exchange. Computer and Network Security track is dedicated
to various areas of cybersecurity. Among these are decentralized
solution for secure management of IoT access rights, multi-factor
authentication as a service (MFAaaS) for federated cloud
environments, user attitude toward personal data privacy and data
privacy economy, host IP obfuscation and performance analysis, and
vehicle OBD-II port countermeasures. The Computer Science
and Engineering Education track enfolds various educational areas,
such as data management in industry–academia joint research: a
perspective of conflicts and coordination in Japan, security
culture and security education, training and awareness (SETA),
influencing information security management, engaging undergraduate
students in developing graphical user interfaces for NSF funded
research project, and emotional intelligence of computer science
teachers in higher education. On the Internet of Things (IoT)
track, the focus is on industrial air quality sensor visual
analytics, social spider optimization meta-heuristic for node
localization optimization in wireless sensor networks, and privacy
aware IoT-based fall detection with infrared sensors and deep
learning. The Smart Cities and Smart Energy track spans various
areas, which include, among others, research topics on
heterogeneous transfer learning in structural health monitoring for
high-rise structures and energy routing in energy Internet using
the firefly algorithm.
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Series: |
Lecture Notes in Networks and Systems, 721 |
| Release date: |
June 2023 |
| First published: |
2023 |
| Editors: |
Kevin Daimi
• Abeer Al Sadoon
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
452 |
| Edition: |
1st ed. 2023 |
| ISBN-13: |
978-3-03-135307-9 |
| Categories: |
Books
Promotions
|
| LSN: |
3-03-135307-2 |
| Barcode: |
9783031353079 |
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