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Dheeraj Kumar
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2020 – today
- 2025
- [j30]Sunil Prajapat, Dheeraj Kumar, Pankaj Kumar:
Quantum image encryption protocol for secure communication in healthcare networks. Clust. Comput. 28(1): 3 (2025) - 2024
- [j29]Ayan Paul, Rajendra Machavaram, Ambuj, Dheeraj Kumar, Harsh Nagar:
Smart solutions for capsicum Harvesting: Unleashing the power of YOLO for Detection, Segmentation, growth stage Classification, Counting, and real-time mobile identification. Comput. Electron. Agric. 219: 108832 (2024) - [j28]Pranshu Pranjal, Dheeraj Kumar, Ashish Soni, R. S. Chatterjee:
Assessment of groundwater level using satellite-based hydrological parameters in North-West India: A deep learning approach. Earth Sci. Informatics 17(3): 2129-2142 (2024) - [j27]Kartik Vishal Deshpande, Dheeraj Kumar:
Time and memory scalable algorithms for clustering tendency assessment of big data. Inf. Sci. 664: 120324 (2024) - [j26]Dheeraj Kumar, Mayuri A. Mehta, Vivek C. Joshi, Rachana S. Oza, Ketan Kotecha, Jerry Chun-Wei Lin:
Empirical evaluation of filter pruning methods for acceleration of convolutional neural network. Multim. Tools Appl. 83(18): 54699-54727 (2024) - [j25]Ayshika Kapoor, Dheeraj Kumar:
Computation and communication efficient approach for federated learning based urban sensing applications against inference attacks. Pervasive Mob. Comput. 98: 101875 (2024) - 2023
- [j24]Dheeraj Kumar, Sandeep Kumar Sood, Keshav Singh Rawat:
Early health prediction framework using XGBoost ensemble algorithm in intelligent environment. Artif. Intell. Rev. 56(S1): 1591-1615 (2023) - [j23]Dheeraj Kumar, Sandeep Kumar Sood, Keshav Singh Rawat:
Empowering elderly care with intelligent IoT-Driven smart toilets for home-based infectious health monitoring. Artif. Intell. Medicine 144: 102666 (2023) - [j22]Harshal Mittal, Jagarlamudi Sai Laxman, Dheeraj Kumar:
ML-aVAT: A Novel 2-Stage Machine-Learning Approach for Automatic Clustering Tendency Assessment. Big Data Res. 34: 100413 (2023) - [j21]Dimple, Pradeep Kumar Singh, Jitendra Rajput, Dheeraj Kumar, Venkatesh Gaddikeri, Ahmed Elbeltagi:
Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices. Ecol. Informatics 75: 102093 (2023) - [j20]Dheeraj Kumar, Sandeep Kumar Sood, Keshav Singh Rawat:
IoT-enabled technologies for controlling COVID-19 Spread: A scientometric analysis using CiteSpace. Internet Things 23: 100863 (2023) - [j19]Sandeep Kumar Sood, Keshav Singh Rawat, Dheeraj Kumar:
Scientometric analysis of ICT-assisted intelligent control systems response to COVID-19 pandemic. Neural Comput. Appl. 35(26): 18829-18849 (2023) - [c20]Sparsh Gupta, Ayshika Kapoor, Dheeraj Kumar:
A Resource Adaptive Secure Aggregation Protocol for Federated Learning based Urban Sensing Systems. COMAD/CODS 2023: 135 - 2022
- [j18]Sandeep Kumar Sood, Keshav Singh Rawat, Dheeraj Kumar:
A visual review of artificial intelligence and Industry 4.0 in healthcare. Comput. Electr. Eng. 101: 107948 (2022) - [j17]Sandeep Kumar Sood, Keshav Singh Rawat, Dheeraj Kumar:
Analytical mapping of information and communication technology in emerging infectious diseases using CiteSpace. Telematics Informatics 69: 101796 (2022) - [j16]Sandeep Kumar Sood, Keshav Singh Rawat, Dheeraj Kumar:
Emerging Trends of ICT in Airborne Disease Prevention. ACM Trans. Internet Techn. 22(4): 110:1-110:18 (2022) - [c19]Anshuman Agrahri, Alok Tyagi, Dheeraj Kumar, Shitanshu Kusumakar, Marimuthu Palaniswami, Bernard Yan:
Detection of Epileptic Seizure Using Accelerometer Time Series Data and Hidden Markov Model. EMBC 2022: 2426-2429 - 2021
- [j15]Punit Rathore, Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams. IEEE Trans. Cybern. 51(12): 5979-5992 (2021) - [c18]Biswa P. S. Sahoo, Prerit Jain, Dheeraj Kumar, Satya Kumar Vankayala:
Ultra-Dense 5G Network Deployment Strategy: A Reinforcement Learning Approach. ANTS 2021: 1-5 - [i2]Ginni Garg, Dheeraj Kumar, ArvinderPal, Yash Sonker, Ritu Garg:
A Hybrid MLP-SVM Model for Classification using Spatial-Spectral Features on Hyper-Spectral Images. CoRR abs/2101.00214 (2021) - 2020
- [j14]Dheeraj Kumar, Satish V. Ukkusuri:
Enhancing demographic coverage of hurricane evacuation behavior modeling using social media. J. Comput. Sci. 45: 101184 (2020) - [j13]Xinwu Qian, Dheeraj Kumar, Wenbo Zhang, Satish V. Ukkusuri:
Understanding the Operational Dynamics of Mobility Service Providers: A Case of Uber. ACM Trans. Spatial Algorithms Syst. 6(2): 12:1-12:20 (2020) - [c17]Dheeraj Kumar, James C. Bezdek:
Clustering tendency assessment for datasets having inter-cluster density variations. SPCOM 2020: 1-5
2010 – 2019
- 2019
- [j12]Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C. Bezdek:
A Scalable Framework for Trajectory Prediction. IEEE Trans. Intell. Transp. Syst. 20(10): 3860-3874 (2019) - [j11]Punit Rathore, Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami:
A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data. IEEE Trans. Knowl. Data Eng. 31(4): 641-654 (2019) - 2018
- [j10]Ankit Singh, Dheeraj Kumar, Jürgen Hötzel:
IoT Based information and communication system for enhancing underground mines safety and productivity: Genesis, taxonomy and open issues. Ad Hoc Networks 78: 115-129 (2018) - [j9]Dheeraj Kumar, Zahra Ghafoori, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao, Marimuthu Palaniswami:
Dealing with Inliers in Feature Vector Data. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(Supplement-2): 25-45 (2018) - [j8]Dheeraj Kumar, Huayu Wu, Sutharshan Rajasegarar, Christopher Leckie, Shonali Krishnaswamy, Marimuthu Palaniswami:
Fast and Scalable Big Data Trajectory Clustering for Understanding Urban Mobility. IEEE Trans. Intell. Transp. Syst. 19(11): 3709-3722 (2018) - [c16]Dheeraj Kumar, Takahiro Yabe, Satish V. Ukkusuri:
Social-Media aided Hyperlocal Help-Network Matching & Routing during Emergencies. IEEE BigData 2018: 1606-1611 - [c15]Punit Rathore, James C. Bezdek, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Approximate Cluster Heat Maps of Large High-Dimensional Data. ICPR 2018: 195-200 - [c14]Dheeraj Kumar, Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan:
Identifying Singleton Spammers via Spammer Group Detection. PAKDD (1) 2018: 656-667 - [c13]Atasi De, Dheeraj Kumar, Parul Patel:
Study on classification of land cover targets over parts of Burdwan, West Bengal using RISAT-1 hybrid polarimetric SAR images and optical remote sensing data. RAIT 2018: 1-6 - [c12]Narendra Singh, Sumi Kala, Dheeraj Kumar, R. S. Chatterjee, Durga Charan Panigrahi, Sumit Kumar Chaudhary:
Impact of land use dynamics on land surface temperature in Jharia coalfield. RAIT 2018: 1-6 - [c11]Ankit Singh, Upendra Kumar Singh, Dheeraj Kumar:
IoT in mining for sensing, monitoring and prediction of underground mines roof support. RAIT 2018: 1-5 - [c10]Surya Bhan Yadav, Dheeraj Kumar, Sumit Kumar Chaudhary, Narendra Singh, Sunil Kumar:
Assessment of deforestation and land use land cover dynamics in West Singhbhum, Jharakhand, India using geospatial techniques. RAIT 2018: 1-4 - [c9]Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Bayesian maximum entropy and interacting multiple model based automatic sensor drift detection and correction in an IoT environment. WF-IoT 2018: 598-603 - [c8]Dheeraj Kumar, Satish V. Ukkusuri:
Utilizing Geo-tagged Tweets to Understand Evacuation Dynamics during Emergencies: A case study of Hurricane Sandy. WWW (Companion Volume) 2018: 1613-1620 - [i1]Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C. Bezdek:
A Scalable Framework for Trajectory Prediction. CoRR abs/1806.03582 (2018) - 2017
- [j7]R. S. Chatterjee, Narendra Singh, Shailaja Thapa, Dravneeta Sharma, Dheeraj Kumar:
Retrieval of land surface temperature (LST) from landsat TM6 and TIRS data by single channel radiative transfer algorithm using satellite and ground-based inputs. Int. J. Appl. Earth Obs. Geoinformation 58: 264-277 (2017) - [j6]Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Maximum Entropy-Based Auto Drift Correction Using High- and Low-Precision Sensors. ACM Trans. Sens. Networks 13(3): 24:1-24:41 (2017) - [j5]Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami:
A visual-numeric approach to clustering and anomaly detection for trajectory data. Vis. Comput. 33(3): 265-281 (2017) - [c7]Wenbo Zhang, Dheeraj Kumar, Satish V. Ukkusuri:
Exploring the dynamics of surge pricing in mobility-on-demand taxi services. IEEE BigData 2017: 1375-1380 - 2016
- [b1]Dheeraj Kumar:
Big data clustering for smart city applications. University of Melbourne, Australia, 2016 - [j4]Dheeraj Kumar, James C. Bezdek, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, Timothy Craig Havens:
A Hybrid Approach to Clustering in Big Data. IEEE Trans. Cybern. 46(10): 2372-2385 (2016) - [j3]Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie, Jeffrey Chan, Jayavardhana Gubbi:
Adaptive Cluster Tendency Visualization and Anomaly Detection for Streaming Data. ACM Trans. Knowl. Discov. Data 11(2): 24:1-24:40 (2016) - [c6]Dheeraj Kumar, Huayu Wu, Yu Lu, Shonali Krishnaswamy, Marimuthu Palaniswami:
Understanding Urban Mobility via Taxi Trip Clustering. MDM 2016: 318-324 - 2015
- [j2]Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Geospatial Estimation-Based Auto Drift Correction in Wireless Sensor Networks. ACM Trans. Sens. Networks 11(3): 50:1-50:39 (2015) - 2013
- [c5]Dheeraj Kumar, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, James C. Bezdek, Timothy C. Havens:
clusiVAT: A mixed visual/numerical clustering algorithm for big data. IEEE BigData 2013: 112-117 - [c4]Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Automatic Sensor Drift Detection and Correction Using Spatial Kriging and Kalman Filtering. DCOSS 2013: 183-190 - [c3]Jayavardhana Gubbi, Dheeraj Kumar, Aravinda S. Rao, Bernard Yan, Marimuthu Palaniswami:
A pilot study on the use of accelerometer sensors for monitoring post acute stroke patients. EMBC 2013: 957-960 - [c2]Dheeraj Kumar, Jayavardhana Gubbi, Bernard Yan, Marimuthu Palaniswami:
Motor recovery monitoring in post acute stroke patients using wireless accelerometer and cross-correlation. EMBC 2013: 6703-6706 - 2012
- [c1]V. V. N. Sriram Malladi, Dheeraj Kumar:
BPNN and ANFIS models for prediction of floor bearing characteristics of weak rock foundations. RAIT 2012: 398-403 - 2011
- [j1]Dheeraj Kumar, Pratik Vimal, Rajesh M. Hegde:
On the Soft Fusion of Probability Mass Functions for Multimodal Speech Processing. EURASIP J. Adv. Signal Process. 2011 (2011)
Coauthor Index
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last updated on 2024-10-15 20:45 CEST by the dblp team
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