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  1-10 of 7381 results Date Reviewed  
  Machine understanding: machine perception and machine perception MU
Les Z., Les M.,  Springer International Publishing, New York, NY, 2020. 215 pp. Type: Book (978-3-030240-69-1)

This is a difficult book to define/describe. Some parts are very interesting, presenting good research questions and discussions; other parts lack detail and depth--readers are sometimes just sent to the authors’ previous work--and...

Oct 12 2020  
  Guide to automotive connectivity and cybersecurity: trends, technologies, innovations and applications
Möller D., Haas R.,  Springer International Publishing, New York, NY, 2019. 645 pp. Type: Book (978-3-319735-11-5)

Information technology (IT) specialists are very involved in vehicle design and maintenance. The technologies that support modern engine monitoring, navigation, driver information, and safety systems would be unimaginable to earlier generations of...

Oct 9 2020  
  Essentials of cloud computing: a holistic perspective
Surianarayanan C., Chelliah P.,  Springer International Publishing, New York, NY, 2019. 309 pp. Type: Book (978-3-030131-33-3)

Why do we need cloud computing? What are the core components of cloud computing architecture and its technological foundations? What is the impact of virtualization and multitenancy on cloud security? What is the best way to migrate to cloud compu...

Oct 6 2020  
  Detection of crop pests and diseases based on deep convolutional neural network and improved algorithm
Wu J., Li B., Wu Z.  ICMLT 2019 (Proceedings of the 2019 4th International Conference on Machine Learning Technologies, Nanchang, China,  Jun 21-23, 2019) 20-27, 2019. Type: Proceedings

Especially in large monoculture-based agricultural settings, an outbreak of pests or diseases can have a major impact on yield or quality of a crop. Advances in image processing based on convolutional neural network (CNN) architecture over the pas...

Sep 29 2020  
   Game theory, the Internet of Things and 5G networks: utilizing game theoretic models to characterize challenging scenarios
Antoniou J.,  Springer International Publishing, New York, NY, 2020. 110 pp. Type: Book (978-3-030168-43-8)

Sustained by the much-improved capabilities of 5G technology, the new Internet of Things (IoT) applications will benefit from an increased number of interconnected sensors and devices, as well as from a significantly larger data transfer, improved...

Sep 24 2020  
   Data-intensive workflow management: for clouds and data-intensive and scalable computing environments
de Oliveira D., Liu J., Pacitti E.,  Morgan&Claypool Publishers, San Rafael, CA, 2019. 180 pp. Type: Book (978-1-681735-57-3)

Data-intensive workflows turn up in scientific domains where the most current information technologies find application areas. The “differentia specifica” between business and scientific workflows is the importance of provenance data r...

Sep 16 2020  
  A unified framework with multi-source data for predicting passenger demands of ride services
Wang Y., Lin X., Wei H., Wo T., Huang Z., Zhang Y., Xu J.  ACM Transactions on Knowledge Discovery from Data 13(6): 1-24, 2019. Type: Article

Ride-sharing service customers look for and deserve fair fares. However, with the use of the Internet to access competing fares when booking shared rides, how should ride-sharing providers forecast passenger demands in order to remain competitive?...

Sep 15 2020  
  Software product management: finding the right balance for YourProduct Inc.
Wagenblatt T.,  Springer International Publishing, New York, NY, 2019. 475 pp. Type: Book (978-3-030198-70-1)

According to author Timo Wagenblatt, software product production and marketing can be managed in a data-driven and quantitatively characterized manner. This book is based on his long career in software product management, which includes his early ...

Sep 11 2020  
  Variational Bayesian learning theory
Nakajima S., Watanabe K., Sugiyama M.,  Cambridge University Press, New York, NY, 2019. 558 pp. Type: Book (978-1-107076-15-0)

In machine learning, variational Bayesian (VB) learning is one of the most popular methods, according to the back cover of the book. The VB learning framework poses and solves optimization problems. The book explains the optimization of target dis...

Sep 10 2020  
  Adversarial machine learning
Joseph A., Nelson B., Rubinstein B., Tygar J.,  Cambridge University Press, New York, NY, 2019. 338 pp. Type: Book (978-1-107043-46-6)

Machine learning is behind many of the systems we typically use, both online and offline, and behind even more of the systems we might use in the future. Given their economic importance, they attract attackers who might be interested in interferin...

Sep 8 2020  
 
 
 
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