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ORCIDVaibhav Kumar
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2020 – today
- 2024
[j18]Abhilash Singh
, Sharad Patel, Vipul Bhadani, Vaibhav Kumar, Kumar Gaurav:
AutoML-GWL: Automated machine learning model for the prediction of groundwater level. Eng. Appl. Artif. Intell. 127(Part B): 107405 (2024)- [j17]Vipul Bhadani, Abhilash Singh, Vaibhav Kumar, Kumar Gaurav:
Nature-inspired optimal tuning of input membership functions of fuzzy inference system for groundwater level prediction. Environ. Model. Softw. 175: 105995 (2024) - [j16]Vaibhav Kumar, Aritra Nandy, Vishal Soni, Bharat Lohani:
Powerline extraction from aerial and mobile LiDAR data using deep learning. Earth Sci. Informatics 17(4): 2819-2833 (2024) - [j15]Ritik Bhardwaj, Arpita Bhargava, Vaibhav Kumar:
INFED: Enhancing fire evacuation dynamics through 3D congestion-aware indoor navigation framework. Simul. Model. Pract. Theory 136: 103010 (2024) - [j14]Abhishek Kuriyal, Vaibhav Kumar, Bharat Lohani:
pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation. SN Comput. Sci. 5(3): 272 (2024) - [c52]Rishi Gupta, Vaibhav Kumar:
Sound Classification in Indian Cities Using Multi-Label Data and Transfer Learning. Tiny Papers @ ICLR 2024 - [c51]Trevor Ashby, Adithya Kulkarni, Jingyuan Qi, Minqian Liu, Eunah Cho, Vaibhav Kumar, Lifu Huang:
Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation. INLG 2024: 540-556 - [c50]Tenghao Huang, Dongwon Jung, Vaibhav Kumar, Mohammad Kachuee, Xiang Li, Puyang Xu, Muhao Chen:
Planning and Editing What You Retrieve for Enhanced Tool Learning. NAACL-HLT (Findings) 2024: 975-988 - [c49]Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang:
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. NAACL-HLT 2024: 8560-8579 - [c48]Gulroz Singh, Ankit Hegde, Vaibhav Kumar:
Unified Functional Safety Framework for advance multi-domain SoCs combining ISO 26262 & IEC61508. VTS 2024: 1-3 - [i38]Ahmed Magbool, Vaibhav Kumar, Qingqing Wu, Marco Di Renzo, Mark F. Flanagan:
A Survey on Integrated Sensing and Communication with Intelligent Metasurfaces: Trends, Challenges, and Opportunities. CoRR abs/2401.15562 (2024) - [i37]Abhishek Kuriyal, Vaibhav Kumar:
Towards Explainable LiDAR Point Cloud Semantic Segmentation via Gradient Based Target Localization. CoRR abs/2402.12098 (2024) - [i36]Arijit Ghosh Chowdhury, Md Mofijul Islam, Vaibhav Kumar, Faysal Hossain Shezan, Vaibhav Kumar, Vinija Jain, Aman Chadha:
Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models. CoRR abs/2403.04786 (2024) - [i35]Arijit Ghosh Chowdhury, Md Mofijul Islam, Vaibhav Kumar, Faysal Hossain Shezan, Vaibhav Kumar, Vinija Jain, Aman Chadha:
Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models. CoRR abs/2403.04786 (2024) - 2023
- [j13]Ayush Dabra, Vaibhav Kumar:
Evaluating green cover and open spaces in informal settlements of Mumbai using deep learning. Neural Comput. Appl. 35(16): 11773-11788 (2023) - [j12]Vaibhav Kumar, Muhammad Fainan Hanif, Markku J. Juntti, Le-Nam Tran:
A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access. IEEE Trans. Veh. Technol. 72(9): 12332-12337 (2023) - [j11]Vaibhav Kumar, Rui Zhang, Marco Di Renzo, Le-Nam Tran:
A Novel SCA-Based Method for Beamforming Optimization in IRS/RIS-Assisted MU-MISO Downlink. IEEE Wirel. Commun. Lett. 12(2): 297-301 (2023) - [c47]Vaibhav Kumar, Hana Koorehdavoudi, Masud Moshtaghi, Amita Misra, Ankit Chadha, Emilio Ferrara:
Controlled Text Generation with Hidden Representation Transformations. ACL (Findings) 2023: 9440-9455 - [c46]Vaibhav Kumar, Marwa Chafii, A. Lee Swindlehurst, Le-Nam Tran, Mark F. Flanagan:
SCA-Based Beamforming Optimization for IRS-Enabled Secure Integrated Sensing and Communication. GLOBECOM 2023: 5992-5997 - [c45]Ahmed Magbool, Vaibhav Kumar, Mark F. Flanagan:
On Energy Efficiency and Fairness Maximization in RIS-Assisted MU-MISO mmWave Communications. ICC 2023: 5364-5369 - [c44]Abhishek Kuriyal, Vaibhav Kumar:
pGS-CAM: Interpretable LiDAR Point Cloud Semantic Segmentation via Gradient Based Localization. Tiny Papers @ ICLR 2023 - [c43]Arkapal Panda, Tanmay Basu, Vaibhav Kumar:
AN ENSEMBLE LEARNING FRAMEWORK FOR VISIBILITY PREDICTION IN INDO-GANGETIC REGION. Tiny Papers @ ICLR 2023 - [c42]Vaibhav Kumar, Anastasios K. Papazafeiropoulos, Muhammad Fainan Hanif, Le-Nam Tran, Mark F. Flanagan:
A Low-Complexity Solution to Sum Rate Maximization for IRS-assisted SWIPT-MIMO Broadcasting. VTC2023-Spring 2023: 1-5 - [c41]Fei Su, Meirav Nitzan, Ankush Sethi, Vaibhav Kumar, Dan Alexandrescu:
Innovation Practices Track: VLSI Functional Safety. VTS 2023: 1 - [i34]Vaibhav Kumar, Hana Koorehdavoudi, Masud Moshtaghi, Amita Misra, Ankit Chadha, Emilio Ferrara:
Controlled Text Generation with Hidden Representation Transformations. CoRR abs/2305.19230 (2023) - [i33]Abhishek Kuriyal, Vaibhav Kumar, Bharat Lohani:
pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation. CoRR abs/2307.14777 (2023) - [i32]Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang:
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. CoRR abs/2311.08788 (2023) - 2022
- [j10]Anshu Mukherjee, Vaibhav Kumar, Eduard A. Jorswieck, Björn E. Ottersten, Le-Nam Tran:
On the Optimality of the Stationary Solution of Secrecy Rate Maximization for MIMO Wiretap Channel. IEEE Wirel. Commun. Lett. 11(2): 357-361 (2022) - [j9]Vaibhav Kumar, Mark F. Flanagan, Rui Zhang, Le-Nam Tran:
Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System With Intelligent Reflecting Surface. IEEE Wirel. Commun. Lett. 11(8): 1758-1762 (2022) - [c40]Vinayshekhar Bannihatti Kumar, Vaibhav Kumar, Mukul Bhutani, Alexander Rudnicky:
An Empirical study to understand the Compositional Prowess of Neural Dialog Models. Insights@ACL 2022: 154-158 - [c39]Muhammad Farooq, Vaibhav Kumar, Markku J. Juntti, Le-Nam Tran:
On the Achievable Rate of IRS-Assisted Multigroup Multicast Systems. GLOBECOM 2022: 5844-5849 - [c38]Yash Jakhotiya, Vaibhav Kumar, Ashwin Pathak, Raj Shah:
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning. SemEval@NAACL 2022: 165-168 - [c37]Anshu Mukherjee, Vaibhav Kumar, Derrick Wing Kwan Ng, Le-Nam Tran:
On the Energy-Efficiency Maximization for IRS-Assisted MIMOME Wiretap Channels. VTC Fall 2022: 1-6 - [i31]Ashwin Pathak, Raj Shah, Vaibhav Kumar, Yash Jakhotiya:
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One Shot Learning. CoRR abs/2202.02394 (2022) - [i30]Muhammad Farooq, Vaibhav Kumar, Markku J. Juntti, Le-Nam Tran:
On the Achievable Rate of IRS-Assisted Multigroup Multicast Systems. CoRR abs/2208.07141 (2022) - 2021
- [j8]Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan:
On the Performance of Downlink NOMA in Underlay Spectrum Sharing. IEEE Trans. Veh. Technol. 70(5): 4523-4540 (2021) - [j7]Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan:
On the Effective Rate of NOMA in Underlay Spectrum Sharing. IEEE Trans. Veh. Technol. 70(11): 12220-12225 (2021) - [c36]Vaibhav Kumar, Mark F. Flanagan, Derrick Wing Kwan Ng, Le-Nam Tran:
On the Secrecy Rate under Statistical QoS Provisioning for RIS-assisted MISO Wiretap Channel. GLOBECOM 2021: 1-6 - [c35]Vaibhav Kumar, Mark F. Flanagan, Daniel Benevides da Costa, Le-Nam Tran:
On the Secrecy Rate of Downlink NOMA in Underlay Spectrum Sharing with Imperfect CSI: Invited Paper. ICT 2021: 167-173 - [c34]Anshu Mukherjee, Vaibhav Kumar, Le-Nam Tran:
Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted MIMOME Wiretap Channels. MILCOM 2021: 261-266 - [i29]Vaibhav Kumar, Mark F. Flanagan, Daniel Benevides da Costa, Le-Nam Tran:
On the Secrecy Rate of Downlink NOMA in Underlay Spectrum Sharing with Imperfect CSI. CoRR abs/2105.07398 (2021) - [i28]Anshu Mukherjee, Vaibhav Kumar, Eduard A. Jorswieck, Björn E. Ottersten, Le-Nam Tran:
On the Optimality of the Stationary Solution of Secrecy Rate Maximization for MIMO Wiretap Channel. CoRR abs/2105.11415 (2021) - [i27]Vaibhav Kumar, Mark F. Flanagan, Derrick Wing Kwan Ng, Le-Nam Tran:
On the Secrecy Rate under Statistical QoS Provisioning for RIS-Assisted MISO Wiretap Channel. CoRR abs/2105.14641 (2021) - [i26]Anshu Mukherjee, Vaibhav Kumar, Le-Nam Tran:
Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted MIMOME Wiretap Channels. CoRR abs/2108.10688 (2021) - [i25]Vaibhav Kumar, Muhammad Fainan Hanif, Markku J. Juntti, Le-Nam Tran:
A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access. CoRR abs/2109.01239 (2021) - [i24]Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan:
On the Effective Rate of NOMA in Underlay Spectrum Sharing. CoRR abs/2109.03058 (2021) - [i23]Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty:
Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings. CoRR abs/2109.13767 (2021) - [i22]Vaibhav Kumar, Mark F. Flanagan, Rui Zhang, Le-Nam Tran:
Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System with Intelligent Reflecting Surface. CoRR abs/2112.11181 (2021) - 2020
- [j6]Indu Singh, Narendra Kumar, Srinivasa K. G., Tript Sharma, Vaibhav Kumar, Siddharth Singhal:
Database intrusion detection using role and user behavior based risk assessment. J. Inf. Secur. Appl. 55: 102654 (2020) - [j5]Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
NOMA-Based Cooperative Relaying With Receive Diversity in Nakagami-m Fading Channels. IEEE Open J. Commun. Soc. 1: 1907-1918 (2020) - [j4]Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty:
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings. Trans. Assoc. Comput. Linguistics 8: 486-503 (2020) - [j3]Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan:
Delay Violation Probability and Effective Rate of Downlink NOMA Over α-μ Fading Channels. IEEE Trans. Veh. Technol. 69(10): 11241-11252 (2020) - [c33]Vaibhav Kumar, Alan W. Black:
ClarQ: A large-scale and diverse dataset for Clarification Question Generation. ACL 2020: 7296-7301 - [c32]Vaibhav Kumar, Vikas Raunak, Jamie Callan:
Ranking Clarification Questions via Natural Language Inference. CIKM 2020: 2093-2096 - [c31]Vaibhav Kumar, Jamie Callan:
Making Information Seeking Easier: An Improved Pipeline for Conversational Search. EMNLP (Findings) 2020: 3971-3980 - [c30]Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan:
Effective Rate of Downlink NOMA over k-μ Shadowed Fading with Integer Fading Parameters. ICC Workshops 2020: 1-7 - [c29]Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan:
Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers. ICC 2020: 1-7 - [c28]Urvashi Karnani Gaur, D. D. Sonvane, Vaibhav Kumar, Rajesh Kalmady:
SANMAN-Management Software for Hyperscale SAN based storage system. ICCCNT 2020: 1-4 - [c27]Deepak Kumar Jain, Akshi Kumar, Linqin Cai, Siddharth Singhal, Vaibhav Kumar:
ATT: Attention-based Timbre Transfer. IJCNN 2020: 1-6 - [c26]Vikas Raunak, Vaibhav Kumar, Vivek Gupta, Florian Metze:
On Dimensional Linguistic Properties of the Word Embedding Space. RepL4NLP@ACL 2020: 156-165 - [c25]Jeffrey Dalton, Chenyan Xiong, Vaibhav Kumar, Jamie Callan:
CAsT-19: A Dataset for Conversational Information Seeking. SIGIR 2020: 1985-1988 - [i21]Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty:
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings. CoRR abs/2006.01938 (2020) - [i20]Vaibhav Kumar, Alan W. Black:
ClarQ: A large-scale and diverse dataset for Clarification Question Generation. CoRR abs/2006.05986 (2020) - [i19]Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan:
Delay Violation Probability and Effective Rate of Downlink NOMA over α-μ Fading Channels. CoRR abs/2006.16505 (2020) - [i18]Vaibhav Kumar, Vikas Raunak, Jamie Callan:
Ranking Clarification Questions via Natural Language Inference. CoRR abs/2008.07688 (2020) - [i17]Vaibhav Kumar, Tenzin Singhay Bhotia, Vaibhav Kumar:
Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings. CoRR abs/2010.13168 (2020) - [i16]Vaibhav Kumar, Tenzin Singhay Bhotia, Vaibhav Kumar:
Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings. CoRR abs/2010.13168 (2020) - [i15]Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan:
On the performance of downlink NOMA in underlay spectrum sharing. CoRR abs/2011.08159 (2020) - [i14]Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
NOMA-Based Cooperative Relaying with Receive Diversity in Nakagami-m Fading Channels. CoRR abs/2011.11692 (2020)
2010 – 2019
- 2019
- [j2]Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
User-Antenna Selection for Physical-Layer Network Coding Based on Euclidean Distance. IEEE Trans. Commun. 67(5): 3363-3375 (2019) - [j1]Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying Under a Peak Interference Constraint. IEEE Trans. Commun. 67(12): 8233-8246 (2019) - [c24]Yash Kumar Lal, Vaibhav Kumar, Mrinal Dhar, Manish Shrivastava, Philipp Koehn:
De-Mixing Sentiment from Code-Mixed Text. ACL (2) 2019: 371-377 - [c23]Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
Performance Analysis of NOMA-Based Cooperative Relaying in alpha-µ Fading Channels. ICC 2019: 1-7 - [c22]Vaibhav Kumar, Krithivasan Ramamritham, Arnab Jana:
Resource allocation for handling emergencies considering dynamic variations and urban spaces: fire fighting in Mumbai. ICTD 2019: 16:1-16:11 - [c21]Vaibhav Kumar, Jamie Callan:
A Step towards Context Identification for Conversational Search. TREC 2019 - [i13]Sourya Dipta Das, Himanshu Ladia, Vaibhav Kumar, Shivansh Mishra:
Writer Independent Offline Signature Recognition Using Ensemble Learning. CoRR abs/1901.06494 (2019) - [i12]Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
User-Antenna Selection for Physical-Layer Network Coding based on Euclidean Distance. CoRR abs/1902.04571 (2019) - [i11]Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
On the Performance of NOMA-based Cooperative Relaying with Receive Diversity. CoRR abs/1902.06737 (2019) - [i10]Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
Performance Analysis of NOMA-based Cooperative Relaying in α - μ Fading Channels. CoRR abs/1903.01946 (2019) - [i9]Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying Under a Peak Interference Constraint. CoRR abs/1909.10920 (2019) - [i8]Vikas Raunak, Vaibhav Kumar, Vivek Gupta, Florian Metze:
On Dimensional Linguistic Properties of the Word Embedding Space. CoRR abs/1910.02211 (2019) - [i7]Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan:
Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers. CoRR abs/1911.00101 (2019) - [i6]Vikas Raunak, Vaibhav Kumar, Florian Metze:
On Compositionality in Neural Machine Translation. CoRR abs/1911.01497 (2019) - 2018
- [c20]Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. CIKM Workshops 2018 - [c19]Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta:
HRAM: A Hybrid Recurrent Attention Machine for News Recommendation. CIKM 2018: 1619-1622 - [c18]Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta:
Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation. CIKM 2018: 1855-1858 - [c17]Yash Kumar Lal, Dhruv Khattar, Vaibhav Kumar, Abhimanshu Mishra, Vasudeva Varma:
Check It Out : Politics and Neural Networks. CLEF (Working Notes) 2018 - [c16]Dhruv Khattar, Vaibhav Kumar, Manish Gupta, Vasudeva Varma:
Neural Content-Collaborative Filtering for News Recommendation. NewsIR@ECIR 2018: 45-50 - [c15]Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying. GLOBECOM Workshops 2018: 1-7 - [c14]Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, Vasudeva Varma:
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks. SIGIR 2018: 1225-1228 - [i5]Vaibhav Kumar, Mrinal Dhar, Dhruv Khattar, Yash Kumar Lal, Abhimanshu Mishra, Manish Shrivastava, Vasudeva Varma:
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection. CoRR abs/1808.00957 (2018) - [i4]Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
Fundamental Limits of Spectrum Sharing for NOMA-based Cooperative Relaying. CoRR abs/1809.08994 (2018) - 2017
- [c13]Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
Deep Neural Architecture for News Recommendation. CLEF (Working Notes) 2017 - [c12]Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
Transmit Antenna Selection for Physical-Layer Network Coding Based on Euclidean Distance. GLOBECOM 2017: 1-7 - [c11]Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma:
Leveraging Moderate User Data for News Recommendation. ICDM Workshops 2017: 757-760 - [c10]Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Vasudeva Varma:
Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation. ICDM Workshops 2017: 761-764 - [c9]Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
User Profiling Based Deep Neural Network for Temporal News Recommendation. ICDM Workshops 2017: 765-772 - [c8]Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
Physical-layer network coding with multiple antennas: An enabling technology for smart cities. PIMRC 2017: 1-6 - [i3]Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
Transmit Antenna Selection for Physical-Layer Network Coding Based on Euclidean Distance. CoRR abs/1709.04450 (2017) - [i2]Siddhartha Gairola, Yash Kumar Lal, Vaibhav Kumar, Dhruv Khattar:
A Neural Clickbait Detection Engine. CoRR abs/1710.01507 (2017) - [i1]Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
Physical-Layer Network Coding with Multiple Antennas: An Enabling Technology for Smart Cities. CoRR abs/1710.04276 (2017) - 2016
- [c7]Monika Jain, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath:
A simulation framework for capacity analysis in TV white space. APCC 2016: 414-418 - [c6]Deep Chandra Kandpal, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath:
Performance of an Energy Detector with Generalized Selection Combining for Spectrum Sensing. CrownCom 2016: 375-384 - [c5]Vaibhav Kumar, Deep Chandra Kandpal, Ranjan Gangopadhyay, Soumitra Debnath:
Amplify-and-forward relay based spectrum sensing with generalized selection combining. PIMRC 2016: 1-5 - 2015
- [c4]Monika Jain, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath:
Cooperative Spectrum Sensing using Improved p-norm Detector in Generalized κ - μ Fading Channel. CrownCom 2015: 225-234 - [c3]Monika Jain, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath:
Improved p-norm energy detector in Generalized κ-μ fading channel for spectrum sensing in cognitive radio. ICCSPA 2015: 1-4 - 2014
- [c2]Vaibhav Kumar, Monika Jain, Ranjan Gangopadhyay, Soumitra Debnath:
Improved p -norm Energy Detector in AWGN Channel for Spectrum Sensing in Cognitive Radio. WICON 2014: 47-52
2000 – 2009
- 2008
- [c1]Vaibhav Kumar, Degang Chen:
An overview and behavioral modeling of higher order multi-bit SigmaDelta A/D converters. EIT 2008: 128-133
Coauthor Index