S
S. Sitharama Iyengar
Researcher at Indian Institute of Technology Ropar
Publications - 794
Citations - 15356
S. Sitharama Iyengar is an academic researcher from Indian Institute of Technology Ropar. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 53, co-authored 776 publications receiving 13751 citations. Previous affiliations of S. Sitharama Iyengar include Jackson State University & Manipal Hospitals.
Papers
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Grid coverage for surveillance and target location in distributed sensor networks
TL;DR: It is shown that grid-based sensor placement for single targets provides asymptotically complete location of multiple targets in the grid, and coding-theoretic bounds on the number of sensors are provided and methods for determining their placement in the sensor field are presented.
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A Survey on Deep Learning: Algorithms, Techniques, and Applications
Samira Pouyanfar,Saad Sadiq,Yilin Yan,Haiman Tian,Yudong Tao,Maria Presa Reyes,Mei-Ling Shyu,Shu-Ching Chen,S. Sitharama Iyengar +8 more
TL;DR: A comprehensive review of historical and recent state-of-the-art approaches in visual, audio, and text processing; social network analysis; and natural language processing is presented, followed by the in-depth analysis on pivoting and groundbreaking advances in deep learning applications.
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Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks
TL;DR: Theoretical analysis and simulation results show that 85-95 percent of faults can be corrected using this algorithm, even when as many as 10 percent of the nodes are faulty.
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A Survey on Malware Detection Using Data Mining Techniques
TL;DR: There is an urgent need to develop intelligent methods for effective and efficient malware detection from the real and large daily sample collection and a comprehensive investigation on both the feature extraction and the classification/clustering techniques is provided.
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Data-Driven Techniques in Disaster Information Management
Tao Li,Ning Xie,Chunqiu Zeng,Wubai Zhou,Li Zheng,Yexi Jiang,Yimin Yang,Hsin-Yu Ha,Wei Xue,Yue Huang,Shu-Ching Chen,Jainendra K. Navlakha,S. Sitharama Iyengar +12 more
TL;DR: A general overview of the requirements and system architectures of disaster management systems is presented and state-of-the-art data-driven techniques that have been applied on improving situation awareness as well as in addressing users’ information needs in disaster management are summarized.