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Rajeev Agrawal
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2020 – today
- 2024
- [j45]Naveen Chauhan
, Rajeev Agrawal
A Probabilistic Deadline-aware Application Offloading in a Multi-Queueing Fog System: A Max Entropy Framework. J. Grid Comput. 22(1): 31 (2024) - [j44]Nizamuddin Khan, Ajay Vikram Singh, Rajeev Agrawal:
Challenges and issues in facial emotion recognition techniques. Int. J. Bus. Intell. Data Min. 24(2): 160-182 (2024) - [j43]Rajat Mehrotra, M. A. Ansari, Rajeev Agrawal, Hisham Al-Ward, Pragati Tripathi, Jay Singh:
An enhanced framework for identifying brain tumor using discrete wavelet transform, deep convolutional network, and feature fusion-based machine learning techniques. Int. J. Imaging Syst. Technol. 34(1) (2024) - [j42]Vaibhav Sharma
Blockchain technology as an enabler for digital trust in supply chain: evolution, issues and opportunities. Int. J. Syst. Assur. Eng. Manag. 15(9): 4183-4209 (2024) - [j41]Sachin Goel
Automated detection of epileptic EEG signals using recurrence plots-based feature extraction with transfer learning. Soft Comput. 28(3): 2367-2383 (2024) - 2023
- [j40]Ranjit Kumar, Sachin Tripathi, Rajeev Agrawal:
Handling dynamic network behavior and unbalanced datasets for WSN anomaly detection. J. Ambient Intell. Humaniz. Comput. 14(8): 10039-10052 (2023) - [j39]Sachin Goel
Epileptic seizure prediction and classification based on statistical features using LSTM fully connected neural network. J. Intell. Fuzzy Syst. 44(4): 6003-6020 (2023) - [j38]Naveen Chauhan
Adaptive application offloading for QoS maximization in cloud-fog environment with delay-constraint. Peer Peer Netw. Appl. 16(2): 1010-1026 (2023) - [j37]Ranjit Kumar, Sachin Tripathi, Rajeev Agrawal:
Correction to: Trust-based energy-aware routing using GEOSR protocol for Ad-Hoc sensor networks. Wirel. Networks 29(4): 1935 (2023) - [c71]Nizamuddin Khan, Ajay Vikram Singh, Rajeev Agrawal:
Novel Approach of Facial Expression Recognition for Cross-Datasets. ICCCNT 2023: 1-7 - [c70]Shilpa Lakhanpal, Ajay Gupta, Rajeev Agrawal:
Leveraging Explainable AI to Analyze Researchers' Aspect-Based Sentiment About ChatGPT. IHCI (2) 2023: 281-290 - [i2]Shilpa Lakhanpal, Ajay Gupta, Rajeev Agrawal:
Leveraging Explainable AI to Analyze Researchers' Aspect-Based Sentiment about ChatGPT. CoRR abs/2308.11001 (2023) - 2022
- [j36]Mehedi Hassan
Intrusion Detection Using Payload Embeddings. IEEE Access 10: 4015-4030 (2022) - [j35]Rajat Mehrrotra
Ensembling of Efficient Deep Convolutional Networks and Machine Learning Algorithms for Resource Effective Detection of Tuberculosis Using Thoracic (Chest) Radiography. IEEE Access 10: 85442-85458 (2022) - [j34]Anbesh Jamwal, Rajeev Agrawal
Deep learning for manufacturing sustainability: Models, applications in Industry 4.0 and implications. Int. J. Inf. Manag. Data Insights 2(2): 100107 (2022) - [j33]Nizamuddin Khan
Enhanced Deep Learning Hybrid Model of CNN Based on Spatial Transformer Network for Facial Expression Recognition. Int. J. Pattern Recognit. Artif. Intell. 36(14): 2252028:1-2252028:28 (2022) - [j32]Anbesh Jamwal
Machine learning applications for sustainable manufacturing: a bibliometric-based review for future research. J. Enterp. Inf. Manag. 35(2): 566-596 (2022) - [j31]Rajat Mehrotra
Diagnosis of hypercritical chronic pulmonary disorders using dense convolutional network through chest radiography. Multim. Tools Appl. 81(6): 7625-7649 (2022) - [j30]Ranjit Kumar, Sachin Tripathi, Rajeev Agrawal:
Trust-based energy-aware routing using GEOSR protocol for Ad-Hoc sensor networks. Wirel. Networks 28(7): 2913-2936 (2022) - [j29]Naveen Chauhan
Probabilistic Optimized Kernel Naive Bayesian Cloud Resource Allocation System. Wirel. Pers. Commun. 124(4): 2853-2872 (2022) - [c69]Vaibhav Sharma
A Conceptual Framework for Achieving Sustainability in Supply Chain Using Industry 4.0 Technologies in Emerging Economies. TDIT (3) 2022: 15-22 - 2021
- [j28]Naveen Chauhan
Adaptive bandwidth adjustment for resource constrained services in fog queueing system. Clust. Comput. 24(4): 3837-3850 (2021) - [j27]Pushpa Singh
An Overloading State Computation and Load Sharing Mechanism in Fog Computing. J. Inf. Technol. Res. 14(4): 94-106 (2021) - [j26]Naveen Chauhan
Delay-aware application offloading in fog environment using multi-class Brownian model. Wirel. Networks 27(7): 4479-4495 (2021) - [j25]Piyush Yadav
Network Planning for Deep Fading Area at 1.8 GHz LTE Network. Wirel. Pers. Commun. 116(3): 2223-2237 (2021) - [c68]Anbesh Jamwal
Industry 4.0: An Indian Perspective. APMS (1) 2021: 113-123 - [c67]Akshay Patidar
A Smart Contracts and Tokenization Enabled Permissioned Blockchain Framework for the Food Supply Chain. APMS (1) 2021: 228-235 - 2020
- [j24]Ajay Sikandar, Rajeev Agrawal, Manoj Kumar Tyagi, A. L. Narasimha Rao, Mukesh Prasad
Toward green computing in wireless sensor networks: prediction-oriented distributed clustering for non-uniform node distribution. EURASIP J. Wirel. Commun. Netw. 2020(1): 183 (2020)
2010 – 2019
- 2019
- [j23]Pushpa Singh
A game-theoretic approach to maximise payoff and customer retention for differentiated services in a heterogeneous network environment. Int. J. Wirel. Mob. Comput. 16(2): 146-159 (2019) - [j22]Piyush Yadav
Network Selection for Maximum Coverage using Regression Analysis in Deep Fading Environment. Wirel. Pers. Commun. 106(3): 1057-1074 (2019) - [c66]Candice Mitchell, Rajeev Agrawal, Joshua Parker:
The Effectiveness of Edge Centrality Measures for Anomaly Detection. IEEE BigData 2019: 5022-5027 - [c65]Daniel Andrews, Jennifer Behn, Danielle Jaksha, Jinwon Seo, Madeleine Schneider, James Yoon, Suzanne J. Matthews
Exploring RNNs for analyzing Zeek HTTP data. HotSoS 2019: 18:1-18:2 - [c64]James R. Ezick, Ben Parsons, William Glodek, Tom Henretty, Muthu Manikandan Baskaran, Richard Lethin, John Feo, Tai-Ching Tuan, Christopher J. Coley, Leslie Leonard, Rajeev Agrawal:
Combining Tensor Decompositions and Graph Analytics to Provide Cyber Situational Awareness at HPC Scale. HPEC 2019: 1-7 - 2018
- [j21]Pushpa Singh
Prospects of Open Source Software for Maximizing the User Expectations in Heterogeneous Network. Int. J. Open Source Softw. Process. 9(3): 1-14 (2018) - [j20]Pushpa Singh
A Customer Centric Best Connected Channel Model for Heterogeneous and IoT Networks. J. Organ. End User Comput. 30(4): 32-50 (2018) - [c63]David Schweitzer, Rajeev Agrawal:
Semantic Segmentation of Complex Road Environments from Aerial Images Using Convolutional Neural Networks. IEEE BigData 2018: 3464-3469 - [c62]David Schweitzer, Rajeev Agrawal:
Multi-Class Object Detection from Aerial Images Using Mask R-CNN. IEEE BigData 2018: 3470-3477 - [c61]Casey Lorenzen, Rajeev Agrawal, Jason King:
Determining Viability of Deep Learning on Cybersecurity Log Analytics. IEEE BigData 2018: 4806-4811 - [c60]Sunayana Tirumalasetty, Manish K. Arya, Rajeev Agrawal
Developement of a Neurological Disease Prediction Framework for Assisting Neurologits to Automatically Segment Gray and White Matter Regions in Brain MRI Images of Patients. EIT 2018: 1-7 - [c59]Sambit Bhattacharya, Rajeev Agrawal, Neal Wagner:
Application of deep learning and geo-knowledge bases to scene understanding. MEDES 2018: 74-79 - [c58]Ranjit Kumar, Sachin Tripathi
A secure handshaking aodv routing protocol (SHS-AODV). RAIT 2018: 1-5 - [r2]Yolanda S. Baker, Michelle Donnell, Charles Mainhart, Rajeev Agrawal:
Privacy Issues for SNS and Mobile SNS. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [j19]Rajeev Agrawal, Anand S. Bedekar
Cloud RAN challenges and solutions. Ann. des Télécommunications 72(7-8): 387-400 (2017) - [j18]M. B. S. Sreekara Reddy, C. h. Ratnam, Rajeev Agrawal
Investigation of reconfiguration effect on makespan with social network method for flexible job shop scheduling problem. Comput. Ind. Eng. 110: 231-241 (2017) - [c57]Shilpa Lakhanpal, Ajay Gupta
Mining Domain Similarity to Enhance Digital Indexing. MEDES 2017: 88-92 - 2016
- [c56]Rajeev Agrawal, Anand S. Bedekar, Troels E. Kolding, Vishnu Ram:
Cloud RAN Challenges and Solutions. ICIN 2016 - [c55]Michael Kommeh, Rajeev Agrawal, Adeyinka Olurin:
Ranking solar energy potential by class and country. MEDES 2016: 22-25 - [c54]David Freet, Rajeev Agrawal:
An overview of architectural and security considerations for named data networking (NDN). MEDES 2016: 52-57 - [c53]Laxmi Narayan Pattanaik
Model of a fuzzy autonomation system for a steel wire roll mill. RAIT 2016: 274-278 - [c52]Satyajit Mahato, Amit Rai Dixit
Process excellence in IT sector in an emerging economic scenario. RAIT 2016: 636-640 - [c51]Rajeev Agrawal, Anand S. Bedekar, Suresh Kalyanasundaram, Troels E. Kolding
Architecture Principles for Cloud RAN. VTC Spring 2016: 1-5 - [c50]Shalini Gulati, Balamurali Natarajan, Suresh Kalyanasundaram, Rajeev Agrawal:
Performance Analysis of Centralized RAN Deployment with Non-Ideal Fronthaul in LTE-Advanced Networks. VTC Spring 2016: 1-5 - [e1]Richard Chbeir
Proceedings of the 8th International Conference on Management of Digital EcoSystems, MEDES 2016, Biarritz, France, November 1-4, 2016. ACM 2016, ISBN 978-1-4503-4267-4 [contents] - 2015
- [j17]Rajeev Agrawal
Information Theoretic Approach with Reduced Paging Cost in Wireless Networks for Remote Healthcare Systems. Int. J. Wirel. Networks Broadband Technol. 4(3): 1-13 (2015) - [c49]Shilpa Lakhanpal, Ajay Gupta, Rajeev Agrawal:
Discover trending domains using fusion of supervised machine learning with natural language processing. FUSION 2015: 893-900 - [c48]Jeffrey Anu, Rajeev Agrawal, Cameron Seay, Sambit Bhattacharya:
Smart Grid Security Risks. ITNG 2015: 485-489 - [c47]Cameron Seay, Rajeev Agrawal, Anirudh Kadadi, Yannick Barel:
Using Hadoop on the Mainframe: A Big Solution for the Challenges of Big Data. ITNG 2015: 765-769 - [c46]Shilpa Lakhanpal, Ajay Gupta, Rajeev Agrawal:
Towards Extracting Domains from Research Publications. MAICS 2015: 117-120 - [c45]Mick Smith, Rajeev Agrawal:
A Comparison of Time Series Model Forecasting Methods on Patent Groups. MAICS 2015: 167-173 - [c44]David Freet, Rajeev Agrawal, Sherin John, Jessie J. Walker
Cloud forensics challenges from a service model standpoint: IaaS, PaaS and SaaS. MEDES 2015: 148-155 - [c43]Rajeev Agrawal, Anirudh Kadadi, Xiangfeng Dai, Frédéric Andrès:
Challenges and opportunities with big data visualization. MEDES 2015: 169-173 - [c42]Shalini Gulati, Suresh Kalyanasundaram, Prakhar Nashine, Balamurali Natarajan, Rajeev Agrawal, Anand S. Bedekar:
Performance Analysis of Distributed Multi-Cell Coordinated Scheduler. VTC Fall 2015: 1-5 - [c41]Deepak Pengoria, Shirish Nagaraj, Rajeev Agrawal:
Performance of Co-Operative Uplink Reception with Non-Ideal Backhaul. VTC Spring 2015: 1-5 - [c40]Jobin Francis
Downlink interference penalty algorithm for power control, scheduling, and user association. WiOpt 2015: 506-512 - [c39]Mick Smith, Rajeev Agrawal:
A Comparison of Patent Classifications with Clustering Analysis. WISE (2) 2015: 400-413 - 2014
- [c38]Yolanda S. Baker, Rajeev Agrawal, James A. Foster, Daniel Beck, Gerry V. Dozier:
Detecting bacterial vaginosis using machine learning. ACM Southeast Regional Conference 2014: 46:1-46:4 - [c37]Shilpa Lakhanpal, Ajay Gupta
On discovering most frequent research trends in a scientific discipline using a text mining technique. ACM Southeast Regional Conference 2014: 52:1-52:4 - [c36]Rajeev Agrawal, Ashiq Imran, Cameron Seay, Jessie J. Walker
A layer based architecture for provenance in big data. IEEE BigData 2014: 1-7 - [c35]Ashiq Imran, Rajeev Agrawal, Jessie J. Walker
A layer based architecture for provenance in big data. IEEE BigData 2014: 29-31 - [c34]Anirudh Kadadi, Rajeev Agrawal, Christopher Nyamful, Rahman Atiq:
Challenges of data integration and interoperability in big data. IEEE BigData 2014: 38-40 - [c33]Yolanda S. Baker, Rajeev Agrawal, James A. Foster
Applying machine learning techniques in detecting Bacterial Vaginosis. ICMLC 2014: 241-246 - [c32]Rajeev Agrawal
Parallelization of industrial process control program based on the technique of differential evolution using multi-threading. IEEM 2014: 546-550 - [c31]Rajeev Agrawal, Anand S. Bedekar, Suresh Kalyanasundaram, Naveen Arulselvan, Troels E. Kolding
Centralized and Decentralized Coordinated Scheduling with Muting. VTC Spring 2014: 1-5 - [c30]Moushumi Sen, Suresh Kalyanasundaram, Rajeev Agrawal, Hans Kroener:
Performance Analysis of Interference Penalty Algorithm for LTE Uplink in Heterogeneous Networks. VTC Fall 2014: 1-5 - [c29]Rajeev Agrawal, Anand S. Bedekar, Richa Gupta, Suresh Kalyanasundaram, Hans Kroener, Balamurali Natarajan:
Dynamic point selection for LTE-advanced: Algorithms and performance. WCNC 2014: 1392-1397 - [r1]Yolanda S. Baker, Michelle Donnell, Charles Mainhart, Rajeev Agrawal:
Privacy Issues for SNS and Mobile SNS. Encyclopedia of Social Network Analysis and Mining 2014: 1340-1345 - 2013
- [c28]Sambit Bhattacharya, Bogdan D. Czejdo, Rakesh Malhotra, Nicolas Perez, Rajeev Agrawal:
Agent Based Modeling of Moving Point Objects in Geospatial Data. COM.Geo 2013: 132-133 - [c27]Sambit Bhattacharya, Bogdan D. Czejdo, Rakesh Malhotra, Nicolas Perez, Rajeev Agrawal:
Characterization of Moving Point Objects in Geospatial Data. COM.Geo 2013: 151 - [c26]Sweta Sneha, Rajeev Agrawal
Towards Enhanced Accuracy in Medical Diagnostics - A Technique Utilizing Statistical and Clinical Data Analysis in the Context of Ultrasound Images. HICSS 2013: 2408-2415 - [c25]Yolanda S. Baker, Rajeev Agrawal
Analyzing security threats as reported by the United States Computer Emergency Readiness Team (US-CERT). ISI 2013: 10-12 - [c24]Venkat N. Gudivada, Rajeev Agrawal, Chunbo Chu:
Online Teaching and Learning Strategies for Programming-intensive Courses. ITNG 2013: 781-782 - [c23]Muhammad Suleiman, Rajeev Agrawal, William I. Grosky, Frédéric Andrès:
A generic data driven approach for Medicaid fraud detection. MEDES 2013: 233-234 - [c22]Vinay B. Gavirangaswamy, Gagan Gupta, Ajay Gupta
Assessment of ARIMA-based prediction techniques for road-traffic volume. MEDES 2013: 246-251 - [c21]Rajeev Agrawal, Amit Sehgal:
Network Selection for Remote Healthcare Systems through Mapping between Clinical and Network Parameter. QSHINE 2013: 31-41 - [c20]Balamurali Natarajan, Naveen Arulselvan, Suresh Kalyanasundaram, Hans Kroener, Rajeev Agrawal:
Channel Orthogonality and Utility-Based UE Pairing Schemes for LTE Uplink MU-MIMO. VTC Fall 2013: 1-5 - [c19]Rajeev Agrawal, Naveen Arulselvan, Suresh Kalyanasundaram, Balamurali Natarajan, Vijay G. Subramanian
Interference Penalty Algorithm (IPA) for inter-cell interference co-ordination in LTE uplink. WCNC 2013: 923-928 - [c18]Anand S. Bedekar, Rajeev Agrawal:
Optimal muting and load balancing for eICIC. WiOpt 2013: 280-287 - [i1]Rajeev Agrawal, Muhammad Suleiman, Cameron Seay, Clay Gloster:
Dynamic Disease Forecast Network Using Family Medical History. ICHI 2013: 486 - 2012
- [j16]Rajeev Agrawal, Naser El-Bathy, Cameron Seay:
Medicaid fraud detection using data broker services. SIGHIT Rec. 2(1): 25 (2012) - 2010
- [j15]Amit Sehgal, Rajeev Agrawal
QoS based network selection scheme for 4G systems. IEEE Trans. Consumer Electron. 56(2): 560-565 (2010) - [j14]Vijay G. Subramanian
Joint scheduling and resource allocation in CDMA systems. IEEE Trans. Inf. Theory 56(5): 2416-2432 (2010) - [c17]Rajeev Agrawal, Changhua Wu, William I. Grosky, Farshad Fotouhi:
Bayesian Framework for Automatic Image Annotation Using Visual Keywords. UCMA 2010: 142-157
2000 – 2009
- 2009
- [j13]Jianwei Huang, Vijay G. Subramanian
Joint scheduling and resource allocation in uplink OFDM systems for broadband wireless access networks. IEEE J. Sel. Areas Commun. 27(2): 226-234 (2009) - [j12]Jianwei Huang, Vijay G. Subramanian
Downlink scheduling and resource allocation for OFDM systems. IEEE Trans. Wirel. Commun. 8(1): 288-296 (2009) - [c16]Vihang Kamble, Suresh Kalyanasundaram, Vinod Ramachandran, Rajeev Agrawal:
Efficient resource allocation strategies for multicast/broadcast services in 3GPP long term evolution single frequency networks. WCNC 2009: 3047-3052 - 2008
- [c15]Vihang Kamble, Suresh Kalyanasundaram, Rajeev Agrawal:
Enhanced location update mechanism in wireless cellular networks using knowledge of mobility patterns. COMSWARE 2008: 112-119 - 2007
- [j11]Rajeev Agrawal
Ultrasonic backscattering in tissue: characterization through Nakagami-generalized inverse Gaussian distribution. Comput. Biol. Medicine 37(2): 166-172 (2007) - [j10]Rajeev Agrawal, Anand S. Bedekar:
Network Architectures for 4G: Cost Considerations [Wireless Broadband Access]. IEEE Commun. Mag. 45(12): 76-81 (2007) - [j9]Karmeshu, Rajeev Agrawal
On efficacy of Rayleigh-inverse Gaussian distribution over K-distribution for wireless fading channels. Wirel. Commun. Mob. Comput. 7(1): 1-7 (2007) - [c14]Rajeev Agrawal, Changhua Wu, William I. Grosky, Farshad Fotouhi:
Image Clustering Using Visual and Text Keywords. CIRA 2007: 49-54 - [c13]Rajeev Agrawal, William I. Grosky, Farshad Fotouhi:
Ranking Privacy Policy. ICDE Workshops 2007: 192-197 - [c12]Rajeev Agrawal, Anand S. Bedekar, Suresh Kalyanasundaram:
Analysis of paging in distributed architectures for 4G systems. IWCMC 2007: 31-36 - [c11]Anand S. Bedekar, Rajeev Agrawal:
Analysis of distributed mobility anchoring for 4G systems. MWCN 2007: 111-115 - 2006
- [c10]Jianwei Huang, Vijay G. Subramanian
Downlink Scheduling and Resource Allocation for OFDM Systems. CISS 2006: 1272-1279 - [c9]Suresh Kalyanasundaram, Rajeev Agrawal:
An efficient radio admission control algorithm for 2.5G/3G cellular networks. COMSWARE 2006: 1-7 - [c8]Rajeev Agrawal, William I. Grosky, Farshad Fotouhi:
Image Retrieval Using Multimodal Keywords. ISM 2006: 817-822 - [c7]Rajeev Agrawal, C.-H. Wu, William I. Grosky, Farshad Fotouhi:
Diffusion maps-based image clustering. IWRIDL 2006: 9 - [c6]Rajeev Agrawal, William I. Grosky, Farshad Fotouhi:
Image Clustering Using Multimodal Keywords. SAMT 2006: 113-123 - 2004
- [j8]Rajeev Agrawal, François Baccelli, Rajendran Rajan:
An Algebra for Queueing Networks with Time-Varying Service and Its Application to the Analysis of Integrated Service Networks. Math. Oper. Res. 29(3): 559-591 (2004) - [c5]D. S. Yadav, Rajeev Agrawal, D. S. Chauhan, R. C. Saraswat, Arun K. Majumdar:
Modeling Long Duration Transactions with Time Constraints in Active Database. ITCC (1) 2004: 497-501 - 2003
- [j7]Rangsan Leelahakriengkrai, Rajeev Agrawal:
Scheduling in multimedia CDMA wireless networks. IEEE Trans. Veh. Technol. 52(1): 226-239 (2003) - [c4]Anand S. Bedekar, Rajeev Agrawal, Rajeev Ranjan:
A lossless algorithm for BSSGP flow control in GPRS and EDGE. GLOBECOM 2003: 3462-3467 - 2000
- [c3]Rajeev Agrawal, Mukesh K. Mohania, Yahiko Kambayashi, Sourav S. Bhowmick, Sanjay Kumar Madria:
An Architecture for XML Schema Integration. Kyoto International Conference on Digital Libraries 2000: 240-244
1990 – 1999
- 1999
- [j6]Rajeev Agrawal, Armand M. Makowski, Philippe Nain:
On a Reduced Load Equivalence for Fluid Queues Under Subexponentiality. Queueing Syst. Theory Appl. 33(1-3): 5-41 (1999) - [j5]Rajeev Agrawal, Rene L. Cruz, Clayton Okino, Rajendran Rajan:
Performance bonds for flow control protocols. IEEE/ACM Trans. Netw. 7(3): 310-323 (1999) - 1996
- [j4]Rajendran Rajan, Rajeev Agrawal:
Server allocation and routing in homogeneous queues with switching penalties. IEEE Trans. Autom. Control. 41(11): 1657-1661 (1996) - [c2]Rajesh S. Pazhyannur, Rajeev Agrawal:
Feedback Based Flow Control in ATM Networks with Multiple Propagation Delays. INFOCOM 1996: 585-593 - 1995
- [j3]Rajesh S. Pazhyannur, Rajeev Agrawal:
Feedback-Based Flow Control of B-ISDN/ATM Networks. IEEE J. Sel. Areas Commun. 13(7): 1252-1266 (1995) - [j2]Rajandran Rajan, Rajeev Agrawal:
Second-order properties of families of discrete-event systems. IEEE Trans. Autom. Control. 40(2): 261-271 (1995) - [c1]Rajesh S. Pazhyannur, Rajeev Agrawal:
Analytical and Numerical Results for Feedback Based Flow Control of B-ISDN/ATM Networks with Significant Propagation Delays. INFOCOM 1995: 738-745 - 1994
- [j1]Rajendran Rajan, Rajeev Agrawal:
Cyclic networks with general blocking and starvation. Queueing Syst. Theory Appl. 15(1-4): 99-136 (1994)
Coauthor Index
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