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  Iyengar, S Add to Alert Profile  
 
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  1 - 5 of 5 reviews    
   A survey on deep learning: algorithms, techniques, and applications
Pouyanfar S., Sadiq S., Yan Y., Tian H., Tao Y., Reyes M., Shyu M., Chen S., Iyengar S. ACM Computing Surveys 51(5): 1-36, 2018.  Type: Article

Deep learning (DL) algorithms, characterized by mapping from input to output (labels or classes) with multiple hidden layers in between, have revived the excitement of artificial intelligence (AI) to get closer to its initial vision of...
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Oct 16 2020  
  Multimedia big data analytics: a survey
Pouyanfar S., Yang Y., Chen S., Shyu M., Iyengar S. ACM Computing Surveys 51(1): 1-34, 2018.  Type: Article

Big data continues to grow exponentially. One source of that growth--multimedia data--has not received comprehensive study. The authors correct this deficit by presenting the results of a broad multidimensional survey...
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Jan 16 2019  
  Computational health informatics in the big data age: a survey
Fang R., Pouyanfar S., Yang Y., Chen S., Iyengar S. ACM Computing Surveys 49(1): 1-36, 2016.  Type: Article

Global information and communications technology (ICT) resources have been changing lives; fast networks and mobile devices offer “always-on” services, extending the possibilities of personal computers (PCs). Beside...
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Sep 21 2016  
   Oblivious network routing: algorithms and applications
Iyengar S., Boroojeni K., The MIT Press, Cambridge, MA, 2015. 176 pp.  Type: Book (978-0-262029-15-5)

This short book is the outcome of many years of research on oblivious network routing. The project was partially funded by a National Science Foundation (NSF) grant. The book shows mathematical tools and models, as well as their applic...
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Mar 21 2016  
  Fusion of threshold rules for target detection in wireless sensor networks
Zhu M., Ding S., Wu Q., Brooks R., Rao N., Iyengar S. ACM Transactions on Sensor Networks 6(2): 1-7, 2010.  Type: Article

Zhu et al. present in this research paper an interesting approach to the application of fusion threshold rules for target detection in wireless sensor networks (WSNs). They “propose a binary decision fusion rule that reaches ...
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Jul 16 2010  

   
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