411 citations
- Samsung (United States)US4 papers
- International Institute of Information Technology, HyderabadIN2 papers
- Samsung (South Korea)KR2 papers
- Thapar Institute of Engineering & TechnologyIN2 papers
- Virginia TechUS2 papers
- Amazon (United States)US1 paper
- Indian Institute of Science BangaloreIN1 paper
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- Indian Institute of Technology DelhiIN1 paper
- Indian Institute of Technology GuwahatiIN1 paper
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- Indian Institute of Technology RoparIN1 paper
6 papers · 1 filter
Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives
Abhishek Divekar, Meet Parekh, Vaibhav Savla +2
Machine Learning has been steadily gaining traction for its use in Anomaly-based Network Intrusion Detection Systems (A-NIDS). Research into this domain is frequently performed usi…
Decoupling Semantic Context and Color Correlation with multi-class cross branch regularization
Vishal Keshav, Tej Pratap GVSL
This paper presents a novel design methodology for architecting a light-weight and faster DNN architecture for vision applications. The effectiveness of the architecture is demonst…
On the Phase Tracking Reference Signal (PT-RS) Design for 5G New Radio (NR)
Yinan Qi, Mythri Hunukumbure, Hyungju Nam +2
The volume of mobile data traffic has been driven to an unprecedented high level due to the proliferation of smartphones/mobile devices that support a wide range of broadband appli…
Deep Gaussian Process-Based Bayesian Inference for Contaminant Source Localization
Young-Jin Park, Piyush M. Tagade, Han-Lim Choi
This paper proposes a Bayesian framework for localization of multiple sources in the event of accidental hazardous contaminant release. The framework assimilates sensor measurement…
Wearable Audio and IMU Based Shot Detection in Racquet Sports
Manish Sharma, Akash Anand, Rupika Srivastava +1
Wearables like smartwatches which are embedded with sensors and powerful processors, provide a strong platform for development of analytics solutions in sports domain. To analyze p…
Global SNR Estimation of Speech Signals using Entropy and Uncertainty Estimates from Dropout Networks
Rohith Aralikatti, Dilip Margam, Tanay Sharma +2
This paper demonstrates two novel methods to estimate the global SNR of speech signals. In both methods, Deep Neural Network-Hidden Markov Model (DNN-HMM) acoustic model used in sp…