Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Browse by topic Browse by titles Authors Reviewers Browse by issue Browse Help
Search
 
Malaviya, Anoop
Ramsys Technolgies
Canning Vale, Australia
 
   Reviewer Selected
   Highlighted
Follow this Reviewer
 
 
 
Options:
Date Reviewed  
 
1
- 10 of 57 reviews

   
   Exploring advanced features in C#: enhance Your code and productivity
Strauss D.,  Apress, New York, NY, 2019. 308 pp. Type: Book (978-1-484248-55-3)

In the 2000s, Microsoft designed and published C# in an open forum platform. The aim was to capture features of object-oriented languages like C++ and integrate with the .NET platform. Since then, it has evolved along with .NET. This volume deals ...

Jul 17 2021  
  Automated machine learning: methods, systems, challenges
Hutter F., Kotthoff L., Vanschoren J.,  Springer International Publishing, New York, NY, 2019. 219 pp. Type: Book (978-3-030053-17-8)

A dataset, generically speaking, is a collection of numbers. It constitutes an information element when structure and context are assigned. The objective of machine learning (ML) is to interpret an information element as a human would. This requir...

Jun 14 2021  
  A real-time framework for task assignment in hyperlocal spatial crowdsourcing
Tran L., To H., Fan L., Shahabi C.  ACM Transactions on Intelligent Systems and Technology 9(3): 1-26, 2018. Type: Article

Hyperspatial crowdsourcing is a low-cost methodology that uses capable individuals, located in the vicinity of task location, to acquire fine-grain data for spatially distributed tasks. However, it is constrained by the budget. This paper analyzes...

Sep 9 2020  
  Artificial intelligence and conservation
Fang F., Tambe M., Dilkina B., Plumptre A.,  Cambridge University Press, New York, NY, 2019. 246 pp. Type: Book (978-1-108464-73-4)

This edited volume is the second book in the publisher’s “Artificial Intelligence for Social Good” series. It is a collection of papers on “research advances in AI that benefit the conservation of wildlife, forests, coral r...

Jun 25 2020  
   A rapid hybrid clustering algorithm for large volumes of high dimensional data
Rathore P., Kumar D., Bezdek J., Rajasegarar S., Palaniswami M.  IEEE Transactions on Knowledge and Data Engineering 31(4): 641-654, 2019. Type: Article

FensiVAT is a rapid hybrid clustering algorithm that identifies clusters in large datasets characterized by many instances (N) and multiple features (p) in each instance....

Mar 10 2020  
  Large-scale and extreme-scale computing with stranded green power: opportunities and costs
Yang F., Chien A.  IEEE Transactions on Parallel and Distributed Systems 29(5): 1103-1116, 2018. Type: Article

Yang and Chien look at the opportunities and costs of using stranded power (SP) at green generating centers for supercomputing and allied computer resources. They “define [SP] as offered power generation with no economic value, thus includin...

Sep 13 2019  
   An investigation of factors affecting the visits of online crowdsourcing and labor platforms
Mourelatos E., Tzagarakis M.  Netnomics 19(3): 95-130, 2018. Type: Article

This paper reports on the authors’ survey of popular websites that use crowdsourcing to conduct one or more steps in their business processes, for a period between 2012 and 2016. The survey’s objectives were to identify factors affecti...

Apr 9 2019  
  PERSIST: policy-based data management middleware for multi-tenant SaaS leveraging federated cloud storage
Rafique A., Van Landuyt D., Joosen W.  Journal of Grid Computing 16(2): 165-194, 2018. Type: Article

NoSQL application data stores often combine on-premise and public cloud resources. As a consequence, they may deal with heterogeneous technologies, flexible but less structured storage architectures, and dynamic changes. In this paper, the authors...

Jan 9 2019  
  DCDedupe: selective deduplication and delta compression with effective routing for distributed storage
Zhang B., Wang C., Zhou B., Yuan D., Zomaya A.  Journal of Grid Computing 16(2): 195-209, 2018. Type: Article

In big data scenarios, data is often duplicated for system response time, efficiency, and network issues and then eliminated through deduplication. Data is compressed for storage efficiency and further abstraction or regression. The authors propos...

Nov 2 2018  
   Using Bayesian network to estimate the value of decisions within the context of value-based software engineering
Mendes E., Perkusich M., Freitas V., Nunes J.  EASE 2018 (Proceedings of the 22nd International Conference on Evaluation and Assessment in Software Engineering, Christchurch, New Zealand,  Jun 28-29, 2018) 90-100, 2018. Type: Proceedings

For longevity, a software company should adopt value-based decision making, in which the focus is on overall value creation rather than the required efforts and costs alone. The paper introduces concepts behind value-based decision making, and ill...

Sep 14 2018  
 
 
 
Display per column
 
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright © 2000-2021 ThinkLoud, Inc.
Terms of Use
| Privacy Policy