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Joydip Dhar
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2020 – today
- 2024
- [j34]R. Jenkin Suji, W. Wilfred Godfrey, Joydip Dhar:
Exploring pretrained encoders for lung nodule segmentation task using LIDC-IDRI dataset. Multim. Tools Appl. 83(4): 9685-9708 (2024) - [i6]Sourav Verma, Joydip Dhar:
Credit Card Fraud Detection: A Deep Learning Approach. CoRR abs/2409.13406 (2024) - 2023
- [j33]Shiv Mangal, Om Prakash Misra, Joydip Dhar:
Fractional-order deterministic epidemic model for the spread and control of HIV/AIDS with special reference to Mexico and India. Math. Comput. Simul. 210: 82-102 (2023) - [j32]R. Jenkin Suji, W. Wilfred Godfrey, Joydip Dhar:
Border to border distance based lung parenchyma segmentation including juxta-pleural nodules. Multim. Tools Appl. 82(7): 10421-10443 (2023) - [j31]R. Jenkin Suji, Sarita Singh Bhadauria, W. Wilfred Godfrey, Joydip Dhar:
On using a Particle Image Velocimetry based approach for candidate nodule detection. Multim. Tools Appl. 82(15): 22871-22888 (2023) - [j30]Vishal Pradhan, Joydip Dhar, Ajay Kumar:
Testing coverage-based software reliability growth model considering uncertainty of operating environment. Syst. Eng. 26(4): 449-462 (2023) - [j29]Ankush Jain, Surendra Nagar, Pramod Kumar Singh, Joydip Dhar:
A hybrid learning-based genetic and grey-wolf optimizer for global optimization. Soft Comput. 27(8): 4713-4759 (2023) - [i5]Aitik Gupta, Joydip Dhar:
A hybrid approach for improving U-Net variants in medical image segmentation. CoRR abs/2307.16462 (2023) - 2022
- [j28]Ankush Jain, Surendra Nagar, Pramod Kumar Singh, Joydip Dhar:
ADC@Θr: Adaptive divisional categorization of ratings under rating threshold Θr for similarity computation in recommendation systems. Appl. Intell. 52(2): 2134-2153 (2022) - [j27]Nilesh Kunhare, Ritu Tiwari, Joydip Dhar:
Intrusion detection system using hybrid classifiers with meta-heuristic algorithms for the optimization and feature selection by genetic algorithm. Comput. Electr. Eng. 103: 108383 (2022) - [j26]Om Prakash Misra, Joydip Dhar, Omprakash Singh Sisodiya:
Modeling and analysis of the transmission dynamics of mosquito-borne disease with environmental temperature fluctuation. Int. J. Model. Simul. Sci. Comput. 13(3): 2250013:1-2250013:43 (2022) - [j25]Omprakash Singh Sisodiya, Om Prakash Misra, Joydip Dhar:
Modeling effects of impulsive control strategies on the spread of mosquito borne disease: role of latent period. J. Appl. Math. Comput. 68(4): 2589-2615 (2022) - [j24]Vishal Pradhan, Joydip Dhar, Ajay Kumar:
Testing-Effort based NHPP Software Reliability Growth Model with Change-point Approach. J. Inf. Sci. Eng. 38(2): 343-355 (2022) - [c14]R. Jenkin Suji, W. Wilfred Godfrey, Joydip Dhar:
Effect of Particle Image Velocimetry processing on CT Dicom images in a deep learning based pipeline for lung nodule segmentation✱. ICVGIP 2022: 31:1-31:8 - 2020
- [j23]Ankur Jain, Joydip Dhar, Vijay K. Gupta:
Rumor model on homogeneous social network incorporating delay in expert intervention and government action. Commun. Nonlinear Sci. Numer. Simul. 84: 105189 (2020) - [j22]Ankush Jain, Pramod Kumar Singh, Joydip Dhar:
Multi-objective item evaluation for diverse as well as novel item recommendations. Expert Syst. Appl. 139 (2020) - [j21]Ankush Jain, Surendra Nagar, Pramod Kumar Singh, Joydip Dhar:
EMUCF: Enhanced multistage user-based collaborative filtering through non-linear similarity for recommendation systems. Expert Syst. Appl. 161: 113724 (2020) - [j20]R. Jenkin Suji, Sarita Singh Bhadouria, Joydip Dhar, W. Wilfred Godfrey:
Optical Flow Methods for Lung Nodule Segmentation on LIDC-IDRI Images. J. Digit. Imaging 33(5): 1306-1324 (2020) - [c13]Shresth Verma, Joydip Dhar:
Emergence of Writing Systems through Multi-Agent Cooperation (Student Abstract). AAAI 2020: 13941-13942 - [c12]Shresth Verma, Haritha S. Nair, Gaurav Agarwal, Joydip Dhar, Anupam Shukla:
Deep Reinforcement Learning for Single-Shot Diagnosis and Adaptation in Damaged Robots. COMAD/CODS 2020: 82-89 - [c11]R. Jenkin Suji, W. Wilfred Godfrey, Joydip Dhar:
Border to Border Distance Based Method for Detecting Juxta-Pleural Nodules. CVIP (1) 2020: 247-259 - [i4]Joydip Dhar, Ashaya Shukla, Mukul Kumar, Prashant Gupta:
A Weighted Mutual k-Nearest Neighbour for Classification Mining. CoRR abs/2005.08640 (2020)
2010 – 2019
- 2019
- [j19]Vijay Kumar, Joydip Dhar, Harbax Singh Bhatti:
Bifurcation in Plant-Pest-Natural Enemy Interaction Dynamics with Gestation Delay for Both Pest and Natural Enemy. Int. J. Bifurc. Chaos 29(13): 1950178:1-1950178:12 (2019) - [j18]Rishi Tuli, Joydip Dhar, Harbax Singh Bhatti:
Sustaining of two competing products under the impact of the media including the experience of adopters. J. Appl. Math. Comput. 60(1-2): 343-367 (2019) - [j17]Ashish Tomar, Joydip Dhar:
An ECC Based Secure Authentication and Key Exchange Scheme in Multi-server Environment. Wirel. Pers. Commun. 107(1): 351-372 (2019) - [c10]R. Jenkin Suji, Sarita Singh Bhadouria, Joydip Dhar, W. Wilfred Godfrey:
Optical Flow Based Background Subtraction Method for Lung Nodule Segmentation. CVIP (1) 2019: 261-269 - [c9]Nilesh Kunhare, Ritu Tiwari, Joydip Dhar:
Network Packet Analysis in Real Time Traffic and Study of Snort IDS During the Variants of DoS Attacks. HIS 2019: 362-375 - [c8]Bobbili Medha, Durgam Chandana, Veldandi Sowmya, W. Wilfred Godfrey, Gaurav Kaushal, Joydip Dhar:
Tumor Growth Modeling and Estimation of Changes with Respect to Cytotoxic Drugs. TENCON 2019: 1053-1058 - [i3]Shresth Verma, Joydip Dhar:
Emergence of Writing Systems Through Multi-Agent Cooperation. CoRR abs/1910.00741 (2019) - [i2]Shresth Verma, Haritha S. Nair, Gaurav Agarwal, Joydip Dhar, Anupam Shukla:
Deep Reinforcement Learning for Single-Shot Diagnosis and Adaptation in Damaged Robots. CoRR abs/1910.01240 (2019) - 2018
- [j16]Nisha Chaurasia, Shashikala Tapaswi, Joydip Dhar:
A Resource Efficient Expectation Maximization Clustering Approach for Cloud. Comput. J. 61(1): 95-104 (2018) - [j15]Abdul Qadir Faridi, Sanjeev Sharma, Anupam Shukla, Ritu Tiwari, Joydip Dhar:
Multi-robot multi-target dynamic path planning using artificial bee colony and evolutionary programming in unknown environment. Intell. Serv. Robotics 11(2): 171-186 (2018) - [c7]Prakhar Srivastava, Kushal Chauhan, Deepanshu Aggarwal, Anupam Shukla, Joydip Dhar, Vrashabh Prasad Jain:
Deep Learning Based Unsupervised POS Tagging for Sanskrit. ACAI 2018: 56:1-56:6 - 2017
- [c6]Surbhi Jain, Joydip Dhar:
Image based search engine using deep learning. IC3 2017: 1-7 - 2016
- [j14]Harkaran Singh, Joydip Dhar, Harbax Singh Bhatti:
Bifurcation in Disease Dynamics with Latent Period of Infection and Media Awareness. Int. J. Bifurc. Chaos 26(6): 1650097:1-1650097:11 (2016) - [j13]Gurbinder Kaur, Joydip Dhar, Rangan K. Guha:
Minimal variability OWA operator combining ANFIS and fuzzy c-means for forecasting BSE index. Math. Comput. Simul. 122: 69-80 (2016) - [j12]Joydip Dhar, Ankur Jain, Vijay K. Gupta:
A mathematical model of news propagation on online social network and a control strategy for rumor spreading. Soc. Netw. Anal. Min. 6(1): 57:1-57:9 (2016) - [j11]Prakash Chand Gupta, Joydip Dhar:
Hash Based Multi-server Key Exchange Protocol Using Smart Card. Wirel. Pers. Commun. 87(1): 225-244 (2016) - 2015
- [j10]Joydip Dhar, Harkaran Singh, Harbax Singh Bhatti:
Discrete-time dynamics of a system with crowding effect and predator partially dependent on prey. Appl. Math. Comput. 252: 324-335 (2015) - [j9]Gurbinder Kaur, Joydip Dhar, Rangan K. Guha:
A hybrid approach to forecast stock market index. Int. J. Artif. Intell. Soft Comput. 5(2): 165-176 (2015) - [j8]Joydip Dhar, Mani Tyagi, Poonam Sinha:
Three simultaneous innovations interrelationships: An adopter dynamics model. Int. J. Model. Simul. Sci. Comput. 6(3): 1550031:1-1550031:15 (2015) - 2014
- [j7]Kunwer Singh Jatav, Joydip Dhar, Atulya K. Nagar:
Mathematical study of stage-structured pests control through impulsively released natural enemies with discrete and distributed delays. Appl. Math. Comput. 238: 511-526 (2014) - [j6]Bhoopendra Pachauri, Ajay Kumar, Joydip Dhar:
Software reliability growth modeling with dynamic faults and release time optimization using GA and MAUT. Appl. Math. Comput. 242: 500-509 (2014) - [j5]Utkarsh Shrivastava, Gyan Prakash, Joydip Dhar:
Extreme value theory and neural network for catastrophic fall prediction: a study of year 2008-2009. Int. J. Inf. Decis. Sci. 6(2): 193-210 (2014) - [j4]Shashikala Tapaswi, Adnan Mahboob, Ajay Shankar Shukla, Ishan Gupta, Pranshu Verma, Joydip Dhar:
Markov Chain Based Roaming Schemes for Honeypots. Wirel. Pers. Commun. 78(2): 995-1010 (2014) - 2013
- [j3]Bhoopendra Pachauri, Ajay Kumar, Joydip Dhar:
Modeling optimal release policy under fuzzy paradigm in imperfect debugging environment. Inf. Softw. Technol. 55(11): 1974-1980 (2013) - 2012
- [j2]Joydip Dhar, Randhir Singh Baghel, Anuj Kumar Sharma:
Role of instant nutrient replenishment on plankton dynamics with diffusion in a closed system: A pattern formation. Appl. Math. Comput. 218(17): 8925-8936 (2012) - 2010
- [j1]Tanvir Ansari, Manoj Kumar, Anupam Shukla, Joydip Dhar, Ritu Tiwari:
Sequential combination of statistics, econometrics and Adaptive Neural-Fuzzy Interface for stock market prediction. Expert Syst. Appl. 37(7): 5116-5125 (2010) - [c5]Rajeev Kumar, Alok Ranjan, Joydip Dhar:
A Fast and Effective Partitioning Algorithm for Document Clustering. ICDEM 2010: 264-271 - [c4]Alok Ranjan, Rajeev Kumar, Joydip Dhar:
A Comparative Study between Dynamic Web Scripting Languages. ICDEM 2010: 288-295 - [i1]Alok Ranjan, Harish Verma, Eatesh Kandpal, Joydip Dhar:
An Analytical Approach to Document Clustering Based on Internal Criterion Function. CoRR abs/1003.1814 (2010)
2000 – 2009
- 2009
- [c3]Mohit Garg, Joydip Dhar:
Subspace Extracting Adaptive Cellular Network for Layered Architectures with Circular Boundaries. Asia International Conference on Modelling and Simulation 2009: 85-90 - [c2]Rajul Anand, Ravi Agrawal, Joydip Dhar:
Variable Support Based Association Rule Mining. COMPSAC (2) 2009: 25-30 - 2008
- [c1]Sanjay Saini, Joydip Dhar:
An Eavesdropping Proof Secure Online Voting Model. CSSE (3) 2008: 704-708
Coauthor Index
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last updated on 2024-10-18 20:28 CEST by the dblp team
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