Sunil Gupta - researchr alias

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Viewing Publication 1 - 51 from 51

2023

Application of deep learning approach for detecting brain tumour in MR imagesJyoti Agarwal, Manoj Kumar, Anuj Rani, Sunil Gupta. ijcritis, 19(4):340-353, 2023. [doi]

Enabling active safety system along with realtime monitoring and audio alerts in two wheelers through smart helmet systemNikita Agarwala, Nikita Arora, Goldie Gabrani, Sunil Gupta. ijcritis, 19(4):367-382, 2023. [doi]

Continual Learning with Dependency Preserving HypernetworksDupati Srikar Chandra, Sakshi Varshney, P. K. Srijith, Sunil Gupta. wacv 2023: 2338-2347 [doi]

Blockchain for Secure Healthcare Using Internet of Medical Things (IoMT)Sunil Gupta, Hitesh Kumar Sharma, Monit Kapoor. Springer, 2023. [doi]

Blockchain-based EHR storage and access control systemSunil Gupta, Akansha Bansiya, Mansi Saini, Amuleek Sidhu. ijics, 21(1/2):70-81, 2023. [doi]

Fog-based smart building IoT model: development and energy cost estimationSunil Gupta. ijcritis, 19(4):354-366, 2023. [doi]

WBAN-Based Remote Monitoring System Utilizing Machine Learning for Healthcare ServicesSunil Gupta, Sonali Vyas. ijsose, 13(1), 2023. [doi]

Disease Classification Using ECG Signals Based on R-Peak Analysis with ANNSunil Gupta, Neha Sharma, Deepak Thakur, Jatin Arora, Vikas Solanki, Rahul Chauhan. ic3i 2023: 1-5 [doi]

An automated system to detect crop diseases using deep learningPurushottam Sharma, Manoj Kumar 0009, Richa Sharma, Shashi Bhushan, Sunil Gupta. ijcvr, 13(5):556-571, 2023. [doi]

Managing Employees Attendance using Real Time Face RecognitionNarendra Singh, Priyanka Gupta, Richa Sharma, Pushpa Singh, Rajnesh Singh, Sunil Gupta. ijsose, 13(4), 2023. [doi]

Managing employee attendance using real-time face recognitionRajnesh Singh, Pushpa Singh, Richa Kumari Sharma, Priyanka Gupta, Narendra Singh, Sunil Gupta. ijsose, 13(4):407-418, 2023. [doi]

WBAN-based remote monitoring system utilising machine learning for healthcare servicesSonali Vyas, Sunil Gupta. ijsose, 13(1), 2023. [doi]

2022

A comparative analysis on remote user authentication schemes in telemedical healthcare systemsCharul Dewan, T. Ganesh Kumar, Sunil Gupta. ijsose, 12(2), 2022. [doi]

A framework for evaluating cyber forensic toolsSunil Gupta, Pradeep Kumar Arya, Sri Vemuri Dwijesh Sai, Sri Sai Bhargav Nagandla. ijesdf, 14(6):594-615, 2022. [doi]

Prediction of COVID-19 spread in world using pandemic dataset with application of auto ARIMA and SIR modelsSunil Gupta, Durgansh Sharma. ijcritis, 18(2):148-158, 2022. [doi]

A Comparative Analysis on Remote User Authentication Schemes in Tele Medical Healthcare SystemsSunil Gupta, T. Ganesh Kumar, Charul Arora. ijsose, 12(2), 2022. [doi]

Secure access control for cloud-based tele medical systemSunil Gupta, Akansha Bansiya, Mansi Saini, Amuleek Sidhu. ijcritis, 18(3):232-239, 2022. [doi]

Fog-IoT based smart home fusion billing systemSunil Gupta, Durgansh Sharma. ijsose, 12(2), 2022. [doi]

Student Engagement and Course Motivation through Experiential Learning PedagogySunil Gupta, Goldie Gabrani, Richa Sharma. ijsose, 12(1), 2022. [doi]

Fog-IoT Based Smart Home Fusion Billing SystemDurgansh Sharma, Sunil Gupta. ijsose, 12(2), 2022. [doi]

Student engagement and course motivation through experiential learning pedagogyRicha Sharma, Goldie Gabrani, Sunil Gupta. ijsose, 12(1), 2022. [doi]

2021

2020

Managing Churn to Maximize ProfitsAurélie Lemmens, Sunil Gupta. mktsci, 39(5):956-973, 2020. [doi]

2018

Accelerating Experimental Design by Incorporating Experimenter HunchesCheng Li 0003, Santu Rana, Sunil Gupta, Vu Nguyen 0001, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson. icdm 2018: 257-266 [doi]

Expected Hypervolume Improvement with ConstraintsMajid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh. icpr 2018: 3238-3243 [doi]

Exploration Enhanced Expected Improvement for Bayesian OptimizationJulian Berk, Vu Nguyen 0001, Sunil Gupta, Santu Rana, Svetha Venkatesh. pkdd 2019: 621-637 [doi]

Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian OptimisationShivapratap Gopakumar, Sunil Gupta, Santu Rana, Vu Nguyen 0001, Svetha Venkatesh. nips 2018: 5470-5478 [doi]

Exploiting Strategy-Space Diversity for Batch Bayesian OptimizationSunil Gupta, Alistair Shilton, Santu Rana, Svetha Venkatesh. aistats 2018: 538-547 [doi]

Differentially Private Prescriptive AnalyticsHaripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh. icdm 2018: 995-1000 [doi]

Prescriptive Analytics Through Constrained Bayesian OptimizationHaripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh. pakdd 2018: 335-347 [doi]

A Privacy Preserving Bayesian Optimization with High EfficiencyThanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh. pakdd 2018: 543-555 [doi]

Information-Theoretic Transfer Learning Framework for Bayesian OptimisationAnil Ramachandran, Sunil Gupta, Santu Rana, Svetha Venkatesh. pkdd 2019: 827-842 [doi]

Multi-Target Optimisation via Bayesian Optimisation and Linear ProgrammingAlistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh. uai 2018: 145-155 [doi]

Sparse Approximation for Gaussian Process with Derivative ObservationsAng Yang, Cheng Li 0003, Santu Rana, Sunil Gupta, Svetha Venkatesh. ausai 2018: 507-518 [doi]

2017

Bayesian Optimization in Weakly Specified Search SpaceVu Nguyen, Sunil Gupta, Santu Rana, Cheng Li 0003, Svetha Venkatesh. icdm 2017: 347-356 [doi]

Regret for Expected Improvement over the Best-Observed Value and Stopping ConditionVu Nguyen, Sunil Gupta, Santu Rana, Cheng Li 0003, Svetha Venkatesh. acml 2017: 279-294 [doi]

2014

Introduction to Theory and Practice in Marketing Conference Special Section of Marketing ScienceSunil Gupta, Dominique M. Hanssens, John R. Hauser, Donald Lehmann, Bernd Schmitt. mktsci, 33(1):1-5, 2014. [doi]

2009

Machine learning of chemical reactivity from databases of organic reactionsGonÃ§alo V. S. M. Carrera, Sunil Gupta, JoÃ£o Aires-de-Sousa. jcamd, 23(7):419-429, 2009. [doi]

Topological models for prediction of physico-chemical, pharmacokinetic and toxicological properties of antihistaminic drugs using decision tree and moving average analysisHarish Dureja, Sunil Gupta, A. K. Madan. ijcbdd, 2(4):353-370, 2009. [doi]

2007

Consumers Price Sensitivities Across Complementary CategoriesSri Devi Duvvuri, Asim Ansari, Sunil Gupta. mansci, 53(12):1933-1945, 2007. [doi]

2006

Note on Self-Restraint as an Online Entry-Deterrence StrategyYunchuan Liu, Sunil Gupta, Z. John Zhang. mansci, 52(11):1799-1809, 2006. [doi]

2004

Supply Chain Decision Making: Will Shorter Cycle Times and Shared Point-of-Sale Information Necessarily Help?Joel H. Steckel, Sunil Gupta, Anirvan Banerji. mansci, 50(4):458-464, 2004. [doi]

2001

An Automated Tool for Analyzing Petri Nets Using SPINGerald C. Gannod, Sunil Gupta. ASE 2001: 404-407 [doi]

Predicting anti-HIV activity: computational approach using a novel topological descriptorSunil Gupta, Manjit Singh, A. K. Madan. jcamd, 15(7):671-678, 2001. [doi]

1999

Superpendentic Index: A Novel Topological Descriptor for Predicting Biological Activity [J. Chem. Inf. Comput. Sci 39, 272-277 (1999)]Sunil Gupta, Manjit Singh, A. K. Madan. jcisd, 39(6):1230-1230, 1999. [doi]

Superpendentic Index: A Novel Topological Descriptor for Predicting Biological ActivitySunil Gupta, Manjit Singh, A. K. Madan. jcisd, 39(2):272-277, 1999. [doi]

1993

Chapter 3 Mathematical models of group choice and negotiationsKim P. Corfman, Sunil Gupta. In Jehoshua Eliashberg, Gary L. Lilian, editors, Marketing. Volume 5 of Handbooks in operations research and management science, pages 83-142, North-Holland, 1993. [doi]

1991

Closed-loop control of manipulators with redundant joints using the Hamilton-Jacobi-Bellman equationSunil Gupta, J. Y. S. Luh. icra 1990: 472-477 [doi]

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1991

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