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ORCIDDeepak Garg 0002
Person information
- affiliation: Bennett University, Computer Science Engineering, Greater Noida, India
- affiliation (former): Thapar University, Computer Science and Engineering Department, Patiala, India
Other persons with the same name
- Deepak Garg — disambiguation page
- Deepak Garg 0001
![[0000-0002-0888-3093]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0888-3093")
— Max Planck Institute for Software Systems, Saarbrücken, Germany (and 1 more) - Deepak Garg 0003 — University of Western Australia, School of Computer Science & Software Engineering
- Deepak Garg 0004 — Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy (and 1 more)
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2020 – today
- 2025
[c20]Prakhar Consul, Ishan Budhiraja, Deepak Garg, Sachin Sharma, Ammar Muthanna:
Deep Reinforcement Learning Based Resource Allocation Method in Future Wireless Networks with Blockchain Assisted MEC Network. WoWMoM 2025: 289-294- 2024
- [j40]Prakhar Consul, Ishan Budhiraja, Deepak Garg, Sahil Garg, Mohammad Mehedi Hassan, Azzedine Boukerche:
Towards an optimal 3-D design and deployment of 6G UAVs for interference mitigation under terrestrial networks. Ad Hoc Networks 164: 103612 (2024) - [j39]Archana Bathula, Suneet K. Gupta, Suresh Merugu, Luca Saba, Narendra N. Khanna, John R. Laird, Siva Skandha Sanagala, Rajesh Singh, Deepak Garg, Mostafa M. Fouda, Jasjit S. Suri:
Blockchain, artificial intelligence, and healthcare: the tripod of future - a narrative review. Artif. Intell. Rev. 57(9): 238 (2024) - [j38]Manoj Diwakar, Prabhishek Singh, Deepak Garg:
Edge-guided filtering based CT image denoising using fractional order total variation. Biomed. Signal Process. Control. 92: 106072 (2024) - [j37]Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, Gian Luca Chabert, Gobinath Ravindran, Sudip Paul, John R. Laird, Deepak Garg, Mostafa Fatemi, Lopamudra Mohanty, Arun Kumar Dubey, Rajesh Singh, Mostafa M. Fouda, Narpinder Singh, Subbaram Naidu, Klaudija Viskovic, Melita Kukuljan, Manudeep K. Kalra, Luca Saba, Jasjit S. Suri:
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. Frontiers Artif. Intell. 7 (2024) - [j36]Prakhar Consul, Ishan Budhiraja, Deepak Garg:
A Hybrid Secure Resource Allocation and Trajectory Optimization Approach for Mobile Edge Computing Using Federated Learning Based on WEB 3.0. IEEE Trans. Consumer Electron. 70(1): 1167-1179 (2024) - [j35]Prakhar Consul, Ishan Budhiraja, Deepak Garg, Neeraj Kumar, Ramendra Singh, Ahmad S. Almogren:
A Hybrid Task Offloading and Resource Allocation Approach for Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning for Future Wireless Network. IEEE Trans. Consumer Electron. 70(1): 3120-3130 (2024) - [j34]Ishan Budhiraja, Neeraj Kumar, Deepak Garg, Mohsen Guizani, Georges Kaddoum:
Joint Traffic Admission, Resource Allocation and Mode Selection Protocol for NOMA-Based D2D Users Underlaying Cellular Network for 5G and Beyond Networks. IEEE Trans. Netw. Sci. Eng. 11(5): 4371-4383 (2024) - [j33]Prakhar Consul, Ishan Budhiraja, Deepak Garg, Sahil Garg, Georges Kaddoum, Mohammad Mehedi Hassan:
SFL-TUM: Energy efficient SFRL method for large scale AI model's task offloading in UAV-assisted MEC networks. Veh. Commun. 48: 100790 (2024) - 2023
- [j32]Deepanshi, Ishan Budhiraja, Deepak Garg, Neeraj Kumar, Rohit Sharma:
A comprehensive review on variants of SARS-CoVs-2: Challenges, solutions and open issues. Comput. Commun. 197: 34-51 (2023) - [j31]Deepanshi, Ishan Budhiraja, Deepak Garg, Neeraj Kumar:
Choquet integral based deep learning model for COVID-19 diagnosis using eXplainable AI for NG-IoT models. Comput. Commun. 212: 227-238 (2023) - [j30]Mohit Agarwal, Suneet K. Gupta, Mainak Biswas, Deepak Garg:
Compression and acceleration of convolution neural network: a Genetic Algorithm based approach. J. Ambient Intell. Humaniz. Comput. 14(10): 13387-13397 (2023) - [j29]Gourav Bathla, Pardeep Singh, Sunil Kumar, Madhushi Verma, Deepak Garg, Ketan Kotecha:
Recop: fine-grained opinions and sentiments-based recommender system for industry 5.0. Soft Comput. 27(7): 4051-4060 (2023) - [j28]Surbhi Gupta, Gaurav Singal, Deepak Garg, Sarangapani Jagannathan:
QC_SANE: Robust Control in DRL Using Quantile Critic With Spiking Actor and Normalized Ensemble. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6656-6662 (2023) - [c19]Deepanshi, Namo Jain, Prakhar Consul, Ishan Budhiraja, Deepak Garg:
Compressed Deep Learning Models with XAI for COVID-19 Detection Using CXR Images. RTIP2R (2) 2023: 54-66 - 2022
- [j27]Anika Gupta, Deepak Garg, Parteek Kumar:
An ensembling model for early identification of at-risk students in higher education. Comput. Appl. Eng. Educ. 30(2): 589-608 (2022) - [j26]Simranjit Singh, Deepak Singh, Mohit Sajwan, Vijaypal Singh Rathor, Deepak Garg:
Hyperspectral image classification using multiobjective optimization. Multim. Tools Appl. 81(18): 25345-25362 (2022) - [j25]Surbhi Gupta, Gaurav Singal, Deepak Garg, Swagatam Das:
RSAC: A Robust Deep Reinforcement Learning Strategy for Dimensionality Perturbation. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1157-1166 (2022) - [j24]Anika Gupta, Deepak Garg, Parteek Kumar:
Mining Sequential Learning Trajectories With Hidden Markov Models For Early Prediction of At-Risk Students in E-Learning Environments. IEEE Trans. Learn. Technol. 15(6): 783-797 (2022) - [j23]Gaurav Singal, Vijay Laxmi, Manoj Singh Gaur, D. Vijay Rao, Riti Kushwaha, Deepak Garg, Neeraj Kumar:
QoS-aware Mesh-based Multicast Routing Protocols in Edge Ad Hoc Networks: Concepts and Challenges. ACM Trans. Internet Techn. 22(1): 1:1-1:27 (2022) - [c18]Jaya Gupta, Deepak Garg, Vipul Kumar Mishra:
Reward based Video Summarization using Advanced Deep Learning Architectures. IC3 2022: 410-416 - [c17]Ishan Budhiraja, Vineet Vishnoi, Neeraj Kumar, Deepak Garg, Sudhanshu Tyagi:
Energy-Efficient Optimization Scheme for RIS-Assisted Communication Underlaying UAV with NOMA. ICC 2022: 1-6 - [c16]Shivani Gaba, Ishan Budhiraja, Aaisha Makkar, Deepak Garg:
Machine Learning for Detecting Security Attacks on Blockchain using Software Defined Networking. ICC Workshops 2022: 260-264 - [c15]Himanshu Sharma, Ishan Budhiraja, Prakhar Consul, Neeraj Kumar, Deepak Garg, Liang Zhao, Lie Liu:
Federated learning based energy efficient scheme for MEC with NOMA underlaying UAV. DroneCom@MobiCom 2022: 73-78 - [c14]Prakhar Consul, Ishan Budhiraja, Rajat Chaudhary, Deepak Garg:
FLBCPS: Federated Learning based Secured Computation Offloading in Blockchain-Assisted Cyber-Physical Systems. UCC 2022: 412-417 - 2021
- [j22]Sunita, Deepak Garg:
Dynamizing Dijkstra: A solution to dynamic shortest path problem through retroactive priority queue. J. King Saud Univ. Comput. Inf. Sci. 33(3): 364-373 (2021) - [j21]Balmukund Mishra, Deepak Garg, Pratik Narang, Vipul Mishra:
A hybrid approach for search and rescue using 3DCNN and PSO. Neural Comput. Appl. 33(17): 10813-10827 (2021) - [j20]Ketan Kotecha, Raghav Verma, Prahalad V. Rao, Priyanshu Prasad, Vipul Kumar Mishra, Tapas Badal, Divyansh Jain, Deepak Garg, Shakti Sharma:
Enhanced Network Intrusion Detection System. Sensors 21(23): 7835 (2021) - [j19]Mohammad Sajid, Jagendra Singh, Raza Abbas Haidri, Mukesh Prasad, Vijayakumar Varadarajan, Ketan Kotecha, Deepak Garg:
A Novel Algorithm for Capacitated Vehicle Routing Problem for Smart Cities. Symmetry 13(10): 1923 (2021) - [c13]Surbhi Gupta, Gaurav Singal, Deepak Garg:
Precise Control for Deep Driving using Dual Critic based DRL Approaches. IV Workshops 2021: 76-82 - 2020
- [j18]Surbhi Gupta, Sangeeta R, Ravi Shankar Mishra, Gaurav Singal, Tapas Badal, Deepak Garg:
Corridor segmentation for automatic robot navigation in indoor environment using edge devices. Comput. Networks 178: 107374 (2020) - [j17]Balmukund Mishra, Deepak Garg, Pratik Narang, Vipul Mishra:
Drone-surveillance for search and rescue in natural disaster. Comput. Commun. 156: 1-10 (2020) - [j16]Sridhar Swaminathan, Deepak Garg, Rajkumar Kannan, Frédéric Andrès:
Sparse low rank factorization for deep neural network compression. Neurocomputing 398: 185-196 (2020)
2010 – 2019
- 2018
- [j15]Anika Gupta, Deepak Garg, Parteek Kumar:
Analysis of Students' Ratings of Teaching Quality to Understand the Role of Gender and Socio-Economic Diversity in Higher Education. IEEE Trans. Educ. 61(4): 319-327 (2018) - 2017
- [j14]Vaishali Mehta Wadhwa, Deepak Garg:
Approximation Algorithm for Resource Allocation Problems with Time Dependent Penalties. Int. J. Found. Comput. Sci. 28(7): 931-944 (2017) - 2016
- [j13]Sudhanshu Gupta, Deepak Garg:
Selectivity estimation of range queries in data streams using micro-clustering. Int. Arab J. Inf. Technol. 13(4): 396-402 (2016) - [j12]Kuldeep Sharma, Deepak Garg:
Approach for Processor to Dispatcher Load Balancing in Distributed Networks. Int. J. Next Gener. Comput. 7(1) (2016) - 2015
- [j11]Seema Verma, Deepak Garg:
Improvement in rebalanced CRT RSA. Int. Arab J. Inf. Technol. 12(6): 524-531 (2015) - [j10]Manoj Manuja, Deepak Garg:
Performance and accuracy analysis of semantic kernel functions. Program 50(1): 83-102 (2015) - [c12]Ashish Kumar, Deepak Garg, Prashant Singh Rana:
Ensemble approach to detect profile injection attack in recommender system. ICACCI 2015: 1734-1740 - 2014
- [j9]Bhawna Mallick, Deepak Garg, P. S. Grover:
A Constraint Guided Progressive Sequential Mining Waterfall Model for CRM. J. Comput. Inf. Technol. 22(1): 45-55 (2014) - [j8]Bhawna Mallick, Deepak Garg, P. S. Grover:
Constraint-based sequential pattern mining: a pattern growth algorithm incorporating compactness, length and monetary. Int. Arab J. Inf. Technol. 11(1): 33-42 (2014) - [j7]Rattan Rana, Deepak Garg:
Anticipatory bound selection procedure (ABSP) for vertex K-center problem 0. Int. Arab J. Inf. Technol. 11(5): 429-436 (2014) - [c11]Sohil Jain, Deepak Garg:
Evaluating quality score of new ads. ICACCI 2014: 13-17 - [c10]Sachin Bagga, Deepak Garg, Ankit Arora:
Moldable load scheduling using demand adjustable policies. ICACCI 2014: 143-150 - [c9]Harsham Mehta, Deepak Garg:
Bootstrap sequential projection multi kernel Locality Sensitive Hashing. ICACCI 2014: 213-218 - [c8]Deepak Garg, Rajender Sharma:
Low Power Multiplier using Dynamic Voltage and Frequency Scaling (DVFS). ICACCI 2014: 560-564 - [c7]Anu Dahiya, Deepak Garg:
Maximal pattern matching with flexible wildcard gaps and one-off constraint. ICACCI 2014: 1107-1112 - [c6]Ankush Garg, Deepak Garg:
Progressive alignment using Shortest Common Supersequence. ICACCI 2014: 1113-1117 - [c5]Anika Gupta, Deepak Garg:
Applying data mining techniques in job recommender system for considering candidate job preferences. ICACCI 2014: 1458-1465 - 2013
- [j6]Bhawna Mallick, Deepak Garg, P. S. Grover:
Incremental mining of sequential patterns: Progress and challenges. Intell. Data Anal. 17(3): 507-530 (2013) - [j5]Bhawna Mallick, Deepak Garg, P. S. Grover:
Progressive CFM-Miner: An Algorithm to Mine CFM - Sequential Patterns from a Progressive Database. Int. J. Comput. Intell. Syst. 6(2): 209-222 (2013) - 2012
- [j4]Tulika Pandey, Deepak Garg, Manoj Madhava Gore:
Publish/subscribe based information dissemination over VANET utilizing DHT. Frontiers Comput. Sci. 6(6): 713-724 (2012) - [i6]Deepak Garg, S. C. Saxena, L. M. Bhardwaj:
A New Middle Path Approach For Alignements In Blast. CoRR abs/1209.6129 (2012) - [i5]Shivani Goel, Ravi Kiran, Deepak Garg:
Vulnerability Management for an Enterprise Resource Planning System. CoRR abs/1209.6484 (2012) - [i4]Megha Tyagi, Deepak Garg:
Comparative Analysis of dynamic graph techniques and data strucutre. CoRR abs/1209.6486 (2012) - [i3]Sandeep Kumar, Deepak Garg:
Online Financial Algorithms Competitive Analysis. CoRR abs/1209.6489 (2012) - [i2]Deepika Sharma, Deepak Garg:
Information Retrieval on the web and its evaluation. CoRR abs/1209.6492 (2012) - [i1]Parth Patel, Deepak Garg:
Comparison of Advance Tree Data Structures. CoRR abs/1209.6495 (2012) - 2011
- [j3]Kamala Krithivasan, Venkata Padmavati Metta, Deepak Garg:
On String Languages Generated by Spiking Neural P Systems with Anti-Spikes. Int. J. Found. Comput. Sci. 22(1): 15-27 (2011) - [j2]Venkata Padmavati Metta, Kamala Krithivasan, Deepak Garg:
Modelling and analysis of spiking neural P systems with anti-spikes using Pnet lab. Nano Commun. Networks 2(2-3): 141-149 (2011) - [c4]Tulika Mishra, Deepak Garg, Manoj Madhava Gore:
A Publish/Subscribe Communication Infrastructure for VANET Applications. AINA Workshops 2011: 442-446 - [c3]Sanchika Gupta, Deepak Garg:
Ontology Based Information Retrieval for Learning Styles of Autistic People. HPAGC 2011: 293-298 - 2010
- [c2]Venkata Padmavati Metta, Kamala Krithivasan, Deepak Garg:
Representation of Spiking Neural P Systems with Anti-spikes through Petri Nets. BIONETICS 2010: 651-658
2000 – 2009
- 2009
- [j1]Kuldeep Sharma, Deepak Garg:
Complexity Analysis in Heterogeneous System. Comput. Inf. Sci. 2(1): 48-52 (2009) - [c1]Venkata Padmavati Metta, Kamala Krithivasan, Deepak Garg:
Modeling Spiking Neural P Systems using Timed Petri Nets. NaBIC 2009: 25-30
Coauthor Index
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