default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNeeraj Varshney
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j28]Lipismita Panigrahi
, Tej Bahadur Chandra, Atul Kumar Srivastava, Neeraj Varshney, Kamred Udham Singh, Shambhu Mahato:
m B C C f : Multilevel Breast Cancer Classification Framework Using Radiomic Features. Int. J. Intell. Syst. 2024: 1-24 (2024)- [j27]Ayush Kumar Dwivedi, Sachin Chaudhari, Neeraj Varshney, Pramod K. Varshney:
Performance Analysis of LEO Satellite-Based IoT Networks in the Presence of Interference. IEEE Internet Things J. 11(5): 8783-8799 (2024) - [c35]Aswin RRV, Nemika Tyagi, Md Nayem Uddin, Neeraj Varshney, Chitta Baral:
Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies. ACL (Findings) 2024: 12717-12733 - [c34]Neeraj Varshney, Pavel Dolin, Agastya Seth, Chitta Baral:
The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness. ACL (Findings) 2024: 13111-13128 - [c33]Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral:
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. ACL (1) 2024: 13679-13707 - [c32]Nisarg Patel, Mohith Kulkarni, Mihir Parmar, Aashna Budhiraja, Mutsumi Nakamura, Neeraj Varshney, Chitta Baral:
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models. EMNLP 2024: 20856-20879 - [c31]Neeraj Varshney, Agneet Chatterjee, Mihir Parmar, Chitta Baral:
Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with 'LITE'. NAACL-HLT (Findings) 2024: 3656-3677 - [i40]Neeraj Varshney, Pavel Dolin, Agastya Seth, Chitta Baral:
The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness. CoRR abs/2401.00287 (2024) - [i39]Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral:
Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. CoRR abs/2404.15522 (2024) - [i38]Aswin RRV, Nemika Tyagi, Md Nayem Uddin, Neeraj Varshney, Chitta Baral:
Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies. CoRR abs/2406.03827 (2024) - [i37]Neeraj Varshney, Satyam Raj, Venkatesh Mishra, Agneet Chatterjee, Ritika Sarkar, Amir Saeidi, Chitta Baral:
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation. CoRR abs/2406.05494 (2024) - [i36]Nisarg Patel, Mohith Kulkarni, Mihir Parmar, Aashna Budhiraja, Mutsumi Nakamura, Neeraj Varshney, Chitta Baral:
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models. CoRR abs/2406.17169 (2024) - 2023
- [j26]Ankit Kumar, Neeraj Varshney, Surbhi Bhatiya, Kamred Udham Singh:
Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data. Big Data Min. Anal. 6(4): 465-477 (2023) - [j25]Vikas Kumar, Preeti, Shaiku Shahida Saheb, Sunil Kumari, Kanishka Pathak, Jai Kishan Chandel, Neeraj Varshney, Ankit Kumar:
A PLS-SEM Based Approach: Analyzing Generation Z Purchase Intention Through Facebook's Big Data. Big Data Min. Anal. 6(4): 491-503 (2023) - [j24]Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, Rohit Agarwal, Neeraj Varshney, Ankit Kumar:
Diagnosis and Detection of Alzheimer's Disease Using Learning Algorithm. Big Data Min. Anal. 6(4): 504-512 (2023) - [j23]Neeraj Varshney, Samuel Berweger, Jack Chuang, Steve Blandino, Jian Wang, Neha Pazare, Camillo Gentile, Nada Golmie:
Adaptive Channel-State-Information Feedback in Integrated Sensing and Communication Systems. IEEE Internet Things J. 10(24): 22469-22486 (2023) - [j22]Ankit Kumar, Surbhi Bhatia, Rajat Bhardwaj, Kamred Udham Singh, Neeraj Varshney, Linesh Raja:
A hybrid approach for medical images classification and segmentation to reduce complexity. Innov. Syst. Softw. Eng. 19(1): 33-46 (2023) - [j21]Shivam, Turki Aljrees, Teekam Singh, Neeraj Varshney, Mukesh Kumar, Kamred Udham Singh, Vrince Vimal:
Influence of Spatial Dispersal among Species in a Prey-Predator Model with Miniature Predator Groups. Symmetry 15(5): 986 (2023) - [j20]Nithin V. Sabu, Abhishek K. Gupta, Neeraj Varshney, Anshuman Jindal:
Channel Characterization and Performance of a 3-D Molecular Communication System With Multiple Fully-Absorbing Receivers. IEEE Trans. Commun. 71(2): 714-727 (2023) - [j19]Suraj Srivastava, Ajeet Tripathi, Neeraj Varshney, Aditya K. Jagannatham, Lajos Hanzo:
Hybrid Transceiver Design for Tera-Hertz MIMO Systems Relying on Bayesian Learning Aided Sparse Channel Estimation. IEEE Trans. Wirel. Commun. 22(4): 2231-2245 (2023) - [c30]Neeraj Varshney, Chitta Baral:
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA. ACL (1) 2023: 967-982 - [c29]Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral:
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. ACL (Findings) 2023: 1794-1818 - [c28]Tung Thai, Mudit Verma, Utkarsh Soni, Sriram Gopalakrishnan, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Neeraj Varshney, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz:
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. AAMAS 2023: 2385-2387 - [c27]Himanshu Gupta, Neeraj Varshney, Swaroop Mishra, Kuntal Kumar Pal, Saurabh Arjun Sawant, Kevin Scaria, Siddharth Goyal, Chitta Baral:
"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility. EACL 2023: 407-417 - [c26]Mutsumi Nakamura, Santosh Mashetty, Mihir Parmar, Neeraj Varshney, Chitta Baral:
LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference. EMNLP (Findings) 2023: 13322-13334 - [c25]Neeraj Varshney, Sumit Pundir, A. L. N. Rao, C. Praveen Kumar, Akhil, Puneet Kumar:
Examining Effectiveness of Cloudlets in Mobile Computing. IC3I 2023: 2580-2589 - [i35]Neeraj Varshney, Chitta Baral:
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA. CoRR abs/2305.01812 (2023) - [i34]Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral:
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. CoRR abs/2305.05079 (2023) - [i33]Neeraj Varshney, Mihir Parmar, Nisarg Patel, Divij Handa, Sayantan Sarkar, Man Luo, Chitta Baral:
Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions? CoRR abs/2305.12096 (2023) - [i32]Neeraj Varshney, Wenlin Yao, Hongming Zhang, Jianshu Chen, Dong Yu:
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation. CoRR abs/2307.03987 (2023) - [i31]Ayushi Agarwal, Nisarg Patel, Neeraj Varshney, Mihir Parmar, Pavan Mallina, Aryan Bhavin Shah, Srihari Raju Sangaraju, Tirth Patel, Nihar Thakkar, Chitta Baral:
Can NLP Models 'Identify', 'Distinguish', and 'Justify' Questions that Don't have a Definitive Answer? CoRR abs/2309.04635 (2023) - [i30]Man Luo, Shrinidhi Kumbhar, Ming Shen, Mihir Parmar, Neeraj Varshney, Pratyay Banerjee, Somak Aditya, Chitta Baral:
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models. CoRR abs/2310.00836 (2023) - [i29]Neeraj Varshney, Agneet Chatterjee, Mihir Parmar, Chitta Baral:
Accelerating LLM Inference by Enabling Intermediate Layer Decoding. CoRR abs/2310.18581 (2023) - 2022
- [j18]Jian Wang, Neeraj Varshney, Camillo Gentile, Steve Blandino, Jack Chuang, Nada Golmie:
Integrated Sensing and Communication: Enabling Techniques, Applications, Tools and Data Sets, Standardization, and Future Directions. IEEE Internet Things J. 9(23): 23416-23440 (2022) - [j17]Neeraj Varshney, Brijesh Bakariya, Alok Kumar Singh Kushwaha:
Human activity recognition using deep transfer learning of cross position sensor based on vertical distribution of data. Multim. Tools Appl. 81(16): 22307-22322 (2022) - [j16]Neeraj Varshney, Brijesh Bakariya, Alok Kumar Singh Kushwaha, Manish Khare:
Human activity recognition by combining external features with accelerometer sensor data using deep learning network model. Multim. Tools Appl. 81(24): 34633-34652 (2022) - [j15]Neeraj Varshney, Brijesh Bakariya:
Deep convolutional neural model for human activities recognition in a sequence of video by combining multiple CNN streams. Multim. Tools Appl. 81(29): 42117-42129 (2022) - [c24]Sastri Kota, Giovanni Giambene, Mohammed Y. Abdelsadek, Mohamed-Slim Alouini, Sarath Babu, Joan Bas, Sachin Chaudhari, Debabrata Dalai, Tasneem Darwish, Tomaso de Cola, Thomas Delamotte, Ashutosh Dutta, Ayush Dwivedi, Michael A. Enright, Marco Giordani, Alberto Gotta, Eman M. Hammad, Tamer Khattab, Andreas Knopp, Gunes Karabulut-Kurt, B. S. Manoj, Jean-Daniel Medjo Me Biomo, Prashant Pillai, Pramud Rawat, Paresh Saxena, Pat Scanlan, Avinash Sharma, Ray Sperber, Zhili Sun, Daniele Tarchi, Neeraj Varshney, Seema Verma, Halim Yanikomeroglu, Kanglian Zhao, Liang Zhao:
INGR Satellite Roadmap - 2022 Edition. FNWF 2022: 1470-1651 - [c23]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. ACL (Findings) 2022: 1995-2002 - [c22]Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Unsupervised Natural Language Inference Using PHL Triplet Generation. ACL (Findings) 2022: 2003-2016 - [c21]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. ACL (1) 2022: 3412-3425 - [c20]Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan:
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. ACL (1) 2022: 3505-3523 - [c19]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Atharva Naik, Arjun Ashok, Arut Selvan Dhanasekaran, Anjana Arunkumar, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen:
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. EMNLP 2022: 5085-5109 - [c18]Neeraj Varshney, Chitta Baral:
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems. EMNLP 2022: 11007-11021 - [c17]Nithin V. Sabu, Abhishek K. Gupta, Neeraj Varshney, Anshuman Jindal:
Impact of Multiple Fully-Absorbing Receivers in Molecular Communications. ICC Workshops 2022: 562-567 - [c16]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Towards Improving Selective Prediction Ability of NLP Systems. RepL4NLP@ACL 2022: 221-226 - [c15]Jiayi Zhang, Steve Blandino, Neeraj Varshney, Jian Wang, Camillo Gentile, Nada Golmie:
Multi-User MIMO Enabled Virtual Reality in IEEE 802.11ay WLAN. WCNC 2022: 2595-2600 - [i28]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. CoRR abs/2203.00211 (2022) - [i27]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. CoRR abs/2203.03073 (2022) - [i26]Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan:
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. CoRR abs/2204.05660 (2022) - [i25]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi:
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR abs/2204.07705 (2022) - [i24]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Let the Model Decide its Curriculum for Multitask Learning. CoRR abs/2205.09898 (2022) - [i23]Nithin V. Sabu, Abhishek K. Gupta, Neeraj Varshney, Anshuman Jindal:
Impact of Multiple Fully-Absorbing Receivers in Molecular Communications. CoRR abs/2205.10519 (2022) - [i22]Neeraj Varshney, Chitta Baral:
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems. CoRR abs/2210.05528 (2022) - [i21]Himanshu Gupta, Neeraj Varshney, Swaroop Mishra, Kuntal Kumar Pal, Saurabh Arjun Sawant, Kevin Scaria, Siddharth Goyal, Chitta Baral:
"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility. CoRR abs/2210.07471 (2022) - [i20]Neeraj Varshney, Man Luo, Chitta Baral:
Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans? CoRR abs/2211.12707 (2022) - 2021
- [j14]Nithin V. Sabu, Neeraj Varshney, Abhishek K. Gupta:
On the Performance of the Primary and Secondary Links in a 3-D Underlay Cognitive Molecular Communication. IEEE Trans. Commun. 69(12): 8028-8041 (2021) - [c14]Amit K. Shrivastava, Debanjan Das, Rajarshi Mahapatra, Neeraj Varshney:
Scaled Conjugate Gradient Algorithm for Neural Network Detector in Mobile Molecular Communication. GLOBECOM 2021: 1-6 - [c13]Jian Wang, Neeraj Varshney, Jiayi Zhang, David W. Griffith, Nada Golmie:
Deep Learning Based Link-Level Abstraction for mmWave Communications. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 391-398 - [c12]M. Madhuri Latha, Sai Krishna Charan Dara, Sachin Chaudhari, Neeraj Varshney:
Beamformed Energy Detection in the Presence of an Interferer for Cognitive mmWave Network. VTC Fall 2021: 1-6 - [i19]Nithin V. Sabu, Neeraj Varshney, Abhishek K. Gupta:
On the Performance of the Primary and Secondary Links in a 3-D Underlay Cognitive Molecular Communication. CoRR abs/2102.05812 (2021) - [i18]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems. CoRR abs/2107.00315 (2021) - [i17]Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Unsupervised Natural Language Inference Using PHL Triplet Generation. CoRR abs/2110.08438 (2021) - [i16]Nithin V. Sabu, Abhishek K. Gupta, Neeraj Varshney, Anshuman Jindal:
Channel Characterization and Performance of a 3-D Molecular Communication System with Multiple Fully-Absorbing Receivers. CoRR abs/2112.09549 (2021) - 2020
- [j13]Lokendra Chouhan, Prabhat Kumar Sharma, Prabhat Kumar Upadhyay, Parul Garg, Neeraj Varshney:
Impacts of Unintended Nanomachine in Diffusion-Based Molecular Communication System. IEEE Trans. Mol. Biol. Multi Scale Commun. 6(3): 210-219 (2020) - [j12]Nithin V. Sabu, Neeraj Varshney, Abhishek K. Gupta:
3-D Diffusive Molecular Communication With Two Fully-Absorbing Receivers: Hitting Probability and Performance Analysis. IEEE Trans. Mol. Biol. Multi Scale Commun. 6(3): 244-249 (2020) - [c11]Mattia Lecci, Paolo Testolina, Marco Giordani, Michele Polese, Tanguy Ropitault, Camillo Gentile, Neeraj Varshney, Anuraag Bodi, Michele Zorzi:
Simplified Ray Tracing for the Millimeter Wave Channel: A Performance Evaluation. ITA 2020: 1-6 - [c10]Ayush Kumar Dwivedi, Sai Praneeth Chokkarapu, Sachin Chaudhari, Neeraj Varshney:
Performance Analysis of Novel Direct Access Schemes for LEO Satellites Based IoT Network. PIMRC 2020: 1-6 - [c9]Neeraj Varshney, Jiayi Zhang, Jian Wang, Anuraag Bodi, Nada Golmie:
Link-Level Abstraction of IEEE 802.11ay based on Quasi-Deterministic Channel Model from Measurements. VTC Fall 2020: 1-7 - [i15]Mattia Lecci, Paolo Testolina, Marco Giordani, Michele Polese, Tanguy Ropitault, Camillo Gentile, Neeraj Varshney, Anuraag Bodi, Michele Zorzi:
Simplified Ray Tracing for the Millimeter Wave Channel: A Performance Evaluation. CoRR abs/2002.09179 (2020) - [i14]Nithin V. Sabu, Neeraj Varshney, Abhishek K. Gupta:
3-D Diffusive Molecular Communication with Two Fully-Absorbing Receivers: Hitting Probability and Performance Analysis. CoRR abs/2005.04865 (2020) - [i13]Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Chitta Baral:
Towards Question Format Independent Numerical Reasoning: A Set of Prerequisite Tasks. CoRR abs/2005.08516 (2020) - [i12]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
It's better to say "I can't answer" than answering incorrectly: Towards Safety critical NLP systems. CoRR abs/2008.09371 (2020) - [i11]Pratyay Banerjee, Chitta Baral, Man Luo, Arindam Mitra, Kuntal Kumar Pal, Tran Cao Son, Neeraj Varshney:
Can Transformers Reason About Effects of Actions? CoRR abs/2012.09938 (2020)
2010 – 2019
- 2019
- [j11]Werner Haselmayr, Neeraj Varshney, A. Taufiq Asyhari, Andreas Springer, Weisi Guo:
On the Impact of Transposition Errors in Diffusion-Based Channels. IEEE Trans. Commun. 67(1): 364-374 (2019) - [j10]Neeraj Varshney, Adarsh Patel, Werner Haselmayr, Aditya K. Jagannatham, Pramod K. Varshney, Arumugam Nallanathan:
Impact of Intermediate Nanomachines in Multiple Cooperative Nanomachine-Assisted Diffusion Advection Mobile Molecular Communication. IEEE Trans. Commun. 67(7): 4856-4871 (2019) - [c8]Nithin V. Sabu, Neeraj Varshney, Abhishek K. Gupta:
On Hybrid MoSK-CSK Modulation based Molecular Communication: Error Rate Performance Analysis using Stochastic Geometry. WiOpt 2019: 1-7 - [i10]Nithin V. Sabu, Neeraj Varshney, Abhishek K. Gupta:
On Hybrid MoSK-CSK Modulation based Molecular Communication: Error Rate Performance Analysis using Stochastic Geometry. CoRR abs/1904.09736 (2019) - 2018
- [j9]Neeraj Varshney, Aditya K. Jagannatham, Lajos Hanzo:
Asymptotic SER Analysis and Optimal Power Sharing for Dual-Phase and Multi-Phase Multiple-Relay Cooperative Systems. IEEE Access 6: 50404-50423 (2018) - [j8]Neeraj Varshney, Aditya K. Jagannatham, Pramod K. Varshney:
Cognitive MIMO-RF/FSO Cooperative Relay Communication With Mobile Nodes and Imperfect Channel State Information. IEEE Trans. Cogn. Commun. Netw. 4(3): 544-555 (2018) - [j7]Lokesh Gahane, Prabhat Kumar Sharma, Neeraj Varshney, Theodoros A. Tsiftsis, Preetam Kumar:
An Improved Energy Detector for Mobile Cognitive Users Over Generalized Fading Channels. IEEE Trans. Commun. 66(2): 534-545 (2018) - [j6]Neeraj Varshney, Adarsh Patel, Yansha Deng, Werner Haselmayr, Pramod K. Varshney, Arumugam Nallanathan:
Abnormality Detection Inside Blood Vessels With Mobile Nanomachines. IEEE Trans. Mol. Biol. Multi Scale Commun. 4(3): 189-194 (2018) - [j5]Neeraj Varshney, Werner Haselmayr, Weisi Guo:
On Flow-Induced Diffusive Mobile Molecular Communication: First Hitting Time and Performance Analysis. IEEE Trans. Mol. Biol. Multi Scale Commun. 4(4): 195-207 (2018) - [c7]Neeraj Varshney, Adarsh Patel, Werner Haselmayr, Aditya K. Jagannatham, Pramod K. Varshney, Weisi Guo:
Impact of Cooperation in Flow-Induced Diffusive Mobile Molecular Communication. ACSSC 2018: 494-498 - [c6]Neeraj Varshney, Aditya K. Jagannatham, Pramod K. Varshney:
On diffusive molecular communication with mobile nanomachines. CISS 2018: 1-6 - [c5]Neeraj Varshney, Prabhat Kumar Sharma, Mohamed-Slim Alouini:
Opportunistic Scheduling in Underlay Cognitive Radio Based Systems: User Selection Probability Analysis. GlobalSIP 2018: 191-195 - [i9]Neeraj Varshney, Aditya K. Jagannatham, Pramod K. Varshney:
Cognitive MIMO-RF/FSO Cooperative Relay Communication with Mobile Nodes and Imperfect Channel State Information. CoRR abs/1805.05381 (2018) - [i8]Neeraj Varshney, Prabhat Kumar Sharma, Mohamed-Slim Alouini:
Opportunistic Scheduling in Underlay Cognitive Radio based MIMO-RF/FSO Networks. CoRR abs/1805.08943 (2018) - [i7]Neeraj Varshney, Adarsh Patel, Werner Haselmayr, Aditya K. Jagannatham, Pramod K. Varshney, Weisi Guo:
Impact of Cooperation in Flow-Induced Diffusive Mobile Molecular Communication. CoRR abs/1805.09976 (2018) - [i6]Neeraj Varshney, Werner Haselmayr, Weisi Guo:
On Flow-Induced Diffusive Mobile Molecular Communication: First Hitting Time and Performance Analysis. CoRR abs/1806.04784 (2018) - [i5]Neeraj Varshney, Prabhat Kumar Sharma, Mohamed-Slim Alouini:
Opportunistic Scheduling in Underlay Cognitive Radio based Systems: User Selection Probability Analysis. CoRR abs/1806.07351 (2018) - [i4]Neeraj Varshney, Adarsh Patel, Yansha Deng, Werner Haselmayr, Pramod K. Varshney, Arumugam Nallanathan:
Abnormality Detection inside Blood Vessels with Mobile Nanomachines. CoRR abs/1807.02728 (2018) - 2017
- [j4]Neeraj Varshney, Aditya K. Jagannatham:
Cognitive Decode-and-Forward MIMO-RF/FSO Cooperative Relay Networks. IEEE Commun. Lett. 21(4): 893-896 (2017) - [j3]Neeraj Varshney, Aditya K. Jagannatham:
MIMO-STBC Based Multiple Relay Cooperative Communication Over Time-Selective Rayleigh Fading Links With Imperfect Channel Estimates. IEEE Trans. Veh. Technol. 66(7): 6009-6025 (2017) - [c4]Neeraj Varshney, Aditya K. Jagannatham:
A Unified Framework for the Analysis of Path Selection Based DF Cooperation in Wireless Systems. WCNC 2017: 1-6 - [i3]Neeraj Varshney, Adarsh Patel, Aditya K. Jagannatham, Pramod K. Varshney:
Design and Performance Analysis of Dual and Multi-hop Diffusive Molecular Communication Systems. CoRR abs/1710.00555 (2017) - [i2]Neeraj Varshney, Aditya K. Jagannatham, Pramod K. Varshney:
Diffusive Molecular Communication with Nanomachine Mobility. CoRR abs/1710.00561 (2017) - [i1]Neeraj Varshney, Adarsh Patel, Aditya K. Jagannatham:
Diffusion Based Cooperative Molecular Communication in Nano-Networks. CoRR abs/1710.01882 (2017) - 2016
- [c3]Neeraj Varshney, Amish Goel, Aditya K. Jagannatham:
Cooperative communication in spatially modulated MIMO systems. WCNC 2016: 1-6 - [c2]Neeraj Varshney, Aditya K. Jagannatham:
Capacity analysis for MIMO beamforming based cooperative systems over time-selective links with full SNR/one-bit feedback based path selection and imperfect CSI. WCNC 2016: 1-6 - 2015
- [j2]Neeraj Varshney, Amalladinne Vamsi Krishna, Aditya K. Jagannatham:
Selective DF Protocol for MIMO STBC Based Single/Multiple Relay Cooperative Communication: End-to-End Performance and Optimal Power Allocation. IEEE Trans. Commun. 63(7): 2458-2474 (2015) - 2014
- [j1]Neeraj Varshney, Amalladinne Vamsi Krishna, Aditya K. Jagannatham:
Capacity Analysis for Path Selection Based DF MIMO-OSTBC Cooperative Wireless Systems. IEEE Commun. Lett. 18(11): 1971-1974 (2014) - 2013
- [c1]Neeraj Varshney, Roop C. Jain:
A Novel MMSE Based Predictive Method for Narrow Band Interference Removal. NBiS 2013: 228-233
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-14 21:01 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
