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Arpit Jain
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2020 – today
- 2024
- [j13]Arpit Jain, Nageswara Rao Moparthi, A. Swathi, Yogesh Kumar Sharma, Nitin Mittal, Ahmed Alhussen, Zamil S. Alzamil, Mohd Anul Haq:
Deep Learning-Based Mask Identification System Using ResNet Transfer Learning Architecture. Comput. Syst. Sci. Eng. 48(2): 341-362 (2024) - [j12]Abhishek Sharma, Arpit Jain, Shubhangi Sharma, Ashutosh Gupta, Prateek Jain, Saraju P. Mohanty:
iPAL: A Machine Learning Based Smart Healthcare Framework for Automatic Diagnosis of Attention Deficit/Hyperactivity Disorder. SN Comput. Sci. 5(4): 433 (2024) - [c39]Arpit Jain, Pabitra Das, Amit Acharyya, Rakesh MB:
ANN-based Accurate and Fast Post-Route QoR Data Prediction Methodology from Pre-Clock Tree Synthesis by Skipping CTS and Routing. ISCAS 2024: 1-5 - 2023
- [j11]Arpit Jain, Chaman Verma, Neerendra Kumar, Maria Simona Raboaca, Jyoti Narayan Baliya, George Suciu:
Image Geo-Site Estimation Using Convolutional Auto-Encoder and Multi-Label Support Vector Machine. Inf. 14(1): 29 (2023) - [j10]Sandeep Kumar, Shilpa Rani, Arpit Jain, Chaman Verma, Maria Simona Raboaca, Zoltán Illés, Bogdan Constantin Neagu:
Correction: Kumar et al. Face Spoofing, Age, Gender and Facial Expression Recognition Using Advance Neural Network Architecture-Based Biometric System. Sensors 2022, 22, 5160. Sensors 23(21): 8825 (2023) - [c38]Suman Devi, Yogesh Kumar Sharma, Senthil Athithan, Savya Sachi, Ajay Kumar Singh, Arpit Jain:
Implementation of ABC & WOA-Based Security Defense Mechanism for Distributed Denial of Service Attacks. IC3I 2023: 546-551 - [c37]Ajay Kumar Singh, Arpit Jain, Divya, Yogesh Kumar Sharma, Senthil Athithan, Savya Sachi:
Multi Objective Optimization Based Land Cover Classification Using NSGA-II. IC3I 2023: 552-556 - [c36]Sandeep Kumar, Shilpa Rani, Arpit Jain, Munish Kumar, Poonam Jaglan:
Automatic Face Mask Detection Using Deep Learning-Based Mobile-Net Architecture. IC3I 2023: 1075-1080 - [i7]Abhishek Sharma, Arpit Jain, Shubhangi Sharma, Ashutosh Gupta, Prateek Jain, Saraju P. Mohanty:
iPAL: A Machine Learning Based Smart Healthcare Framework For Automatic Diagnosis Of Attention Deficit/Hyperactivity Disorder (ADHD). CoRR abs/2302.00332 (2023) - 2022
- [j9]Namit Gupta, Kunwar Singh Vaisla, Arpit Jain, Adesh Kumar, Rajeev Kumar:
Performance Analysis of AODV Routing for Wireless Sensor Network in FPGA Hardware. Comput. Syst. Sci. Eng. 40(3): 1073-1084 (2022) - [j8]Sandeep Kumar, Shilpa Rani, Arpit Jain, Chaman Verma, Maria Simona Raboaca, Zoltán Illés, Bogdan Constantin Neagu:
Face Spoofing, Age, Gender and Facial Expression Recognition Using Advance Neural Network Architecture-Based Biometric System. Sensors 22(14): 5160 (2022) - [c35]Yogesh Kumar Sharma, Syed Shagufta Noval, Arpit Jain, B. Sabitha, T. Ramya:
Forensics-as-a-service: A Review of Mobile Forensics. IC3I 2022: 486-491 - [c34]Sai Ram Paidipati, Sathvik Pothuneedi, Vijaya Nagendra Gandham, Lovish Jain, Sandeep Kumar, Arpit Jain:
A Review: Disease Detection in Wheat Plant using Conventional and Machine Learning Algorithms. IC3I 2022: 1436-1441 - [c33]Abhishek Bhola, Arpit Jain, Bhavani D. Lakshmi, Tulasi M. Lakshmi, Chandana D. Hari:
A Wide Area Network Design and Architecture using Cisco Packet Tracer. IC3I 2022: 1646-1652 - [c32]Arpit Jain, Abhishek Bhola, Soumya Upadhyay, Anita Singh, Deepak Kumar, Abhishek Jain:
Secure and Smart Trolley Shopping System based on IoT Module. IC3I 2022: 2243-2247 - [c31]Arpit Jain, Pabitra Das, Amit Acharyya:
Artificial Neural Network Based Post-CTS QoR Report Prediction. ISCAS 2022: 682-686 - [i6]Zhaoyuan Yang, Arpit Jain:
Dropout Inference with Non-Uniform Weight Scaling. CoRR abs/2204.13047 (2022) - 2021
- [j7]Abhinav Sharma, Arpit Jain, Prateek Gupta, Vinay Chowdary:
Machine Learning Applications for Precision Agriculture: A Comprehensive Review. IEEE Access 9: 4843-4873 (2021) - [j6]Arpit Jain, Abhinav Sharma, Vibhu Jately, Brian Azzopardi, Sushabhan Choudhury:
Real-Time Swing-Up Control of Non-Linear Inverted Pendulum Using Lyapunov Based Optimized Fuzzy Logic Control. IEEE Access 9: 50715-50726 (2021) - [j5]Ashok Kumar, Arpit Jain:
Image smog restoration using oblique gradient profile prior and energy minimization. Frontiers Comput. Sci. 15(6): 156706 (2021) - [j4]Arpit Jain, Ashok Kumar:
Desmogging of still smoggy images using a novel channel prior. J. Ambient Intell. Humaniz. Comput. 12(1): 1161-1177 (2021) - [j3]Namit Gupta, Arpit Jain, Kunwar Singh Vaisla, Adesh Kumar, Rajeev Kumar:
Performance analysis of DSDV and OLSR wireless sensor network routing protocols using FPGA hardware and machine learning. Multim. Tools Appl. 80(14): 22301-22319 (2021) - [c30]Kewei Sha, Wei Wei, Arpit Jain:
Design of Network Forensics Labs for Teaching-oriented Institutions. CSCI 2021: 959-963 - [c29]Arpit Jain, Tapan Shah, Mohammed Yousefhussien, Achalesh Pandey:
Combining Remotely Sensed Imagery With Survival Models for Outage Risk Estimation of the Power Grid. CVPR Workshops 2021: 1202-1211 - [c28]Arpit Jain, Dharm Singh Jat:
Implementation of Blockchain Enabled Healthcare System using Hyperledger Fabric. DSMLAI 2021: 37-47 - [p1]Abhinav Sharma, Arpit Jain, Mangey Ram:
AI for COVID-19: The Journey So Far. Use of AI, Robotics, and Modern Tools to Fight Covid-19 2021: 29-43 - [e2]Arpit Jain, Abhinav Sharma, Jianwu Wang, Mangey Ram:
Use of AI, Robotics, and Modern Tools to Fight Covid-19. River Publishers 2021, ISBN 9788770224420 [contents] - [e1]Dharm Singh Jat, Colin Stanley, José G. Quenum, Nilanjan Dey, Arpit Jain:
DSMLAI '21: International Conference on Data Science, Machine Learning and Artificial Intelligence, Windhoek Namibia, August 9 - 12, 2021. ACM 2021, ISBN 978-1-4503-8763-7 [contents] - 2020
- [c27]Chahat Bansal, Arpit Jain, Phaneesh Barwaria, Anuj Choudhary, Anupam Singh, Ayush Gupta, Aaditeshwar Seth:
Temporal Prediction of Socio-economic Indicators Using Satellite Imagery. COMAD/CODS 2020: 73-81 - [c26]Chinmaya Devaraj, Aritra Chowdhury, Arpit Jain, James R. Kubricht, Peter H. Tu, Alberto Santamaría-Pang:
From Symbols to Signals: Symbolic Variational Autoencoders. ICASSP 2020: 3317-3321 - [c25]Luis Francisco, Tanmay Lagare, Arpit Jain, Somal Chaudhary, Madhura Kulkarni, Divya Sardana, W. Rhett Davis, Paul D. Franzon:
Design Rule Checking with a CNN Based Feature Extractor. MLCAD 2020: 9-14 - [c24]Soumi Chattopadhyay, Rahul Ghosh, Ansuman Banerjee, Avantika Gupta, Arpit Jain:
FINESSE: Fair Incentives for Enterprise Employees. RCIS 2020: 191-211 - [i5]Luis Francisco, Tanmay Lagare, Arpit Jain, Somal Chaudhary, Madhura Kulkarni, Divya Sardana, W. Rhett Davis, Paul D. Franzon:
Design Rule Checking with a CNN Based Feature Extractor. CoRR abs/2012.11510 (2020)
2010 – 2019
- 2019
- [c23]Mohammed Arshad Siddiqui, Arpit Jain, Neha Gour, Pritee Khanna:
Unsupervised Single-View Depth Estimation for Real Time Inference. CVIP (1) 2019: 94-105 - [c22]Venkata Siva Vijayendra Bhamidipati, Michael Chan, Derek Chamorro, Arpit Jain, Ashok Srinivasa Murthy:
Adaptive Security for Smart Contracts using High Granularity Metrics. ICVISP 2019: 83:1-83:6 - [c21]Yi Cao, Arpit Jain, Kriti Sharma, Aruna Balasubramanian, Anshul Gandhi:
When to use and when not to use BBR: An empirical analysis and evaluation study. Internet Measurement Conference 2019: 130-136 - [c20]Venkata Siva Vijayendra Bhamidipati, Michael Chan, Arpit Jain, Ashok Srinivasa Murthy, Derek Chamorro, Aniruddh Kamalapuram Muralidhar:
Predictive Proof of Metrics - a New Blockchain Consensus Protocol. IoTSMS 2019: 498-505 - [i4]Bharathan Balaji, Jordan Bell-Masterson, Enes Bilgin, Andreas C. Damianou, Pablo Moreno Garcia, Arpit Jain, Runfei Luo, Alvaro Maggiar, Balakrishnan Narayanaswamy, Chun Ye:
ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems. CoRR abs/1911.10641 (2019) - 2018
- [c19]Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim:
Regularizing Deep Networks Using Efficient Layerwise Adversarial Training. AAAI 2018: 4008-4015 - [c18]Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser Nam Lim, Rama Chellappa:
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation. CVPR 2018: 3752-3761 - 2017
- [c17]Swami Sankaranarayanan, Arpit Jain, Ser Nam Lim:
Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks. ICCV 2017: 3582-3590 - [i3]Swami Sankaranarayanan, Arpit Jain, Ser Nam Lim:
Guided Perturbations: Self Corrective Behavior in Convolutional Neural Networks. CoRR abs/1703.07928 (2017) - [i2]Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim:
Regularizing deep networks using efficient layerwise adversarial training. CoRR abs/1705.07819 (2017) - [i1]Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser-Nam Lim, Rama Chellappa:
Unsupervised Domain Adaptation for Semantic Segmentation with GANs. CoRR abs/1711.06969 (2017) - 2016
- [c16]Huan Tan, Shiraj Sen, Arpit Jain, Shuai Li, Viktor Holovashchenko, Ghulam Baloch, Omar Al Assad, Romano Patrick, Douglas Forman, Yonatan Gefen, Pramod Sharma, Frederick Wheeler, Charles Theurer, Balajee Kannan:
An Integrated Robotic System for Autonomous Brake Bleeding in Rail Yards. IAS 2016: 157-173 - [c15]Shuai Li, Arpit Jain, Pramod Sharma, Shiraj Sen:
A perception system for detecting brake levers in outdoor rail yard environments. IROS 2016: 2867-2873 - 2015
- [j2]Arpit Jain, Anil Kumar, Manoj Kumar Dash:
Information technology revolution and transition marketing strategies of political parties: analysis through AHP. Int. J. Bus. Inf. Syst. 20(1): 71-94 (2015) - [j1]Naresh Vemishetty, Arpit Jain, Aashish Amber, Sidharth Maheshwari, Agathya Jagirdar, Amit Acharyya:
A Robust Reliable and Low Complexity on Chip f-QRS Detection and Identification Architecture for Remote Personalized Health Care Applications. J. Low Power Electron. 11(3): 387-400 (2015) - [c14]Arpit Jain, Arnab Bhattacharya:
Mining Wikileaks Data to Identify Sentiment Polarities in International Relationships. DASFAA Workshops 2015: 266-272 - 2014
- [b1]Arpit Jain:
Scene and Video Understanding. University of Maryland, College Park, MD, USA, 2014 - [c13]Arpit Jain, Xujun Peng, Xiaodan Zhuang, Pradeep Natarajan, Huaigu Cao:
Text detection and recognition in natural scenes and consumer videos. ICASSP 2014: 1245-1249 - [c12]Naresh Vemishetty, Arpit Jain, Aashish Amber, Amit Acharyya:
A Low Complexity Architecture for Online On-chip Detection and Identification of f-QRS Feature for Remote Personalized Health Care Applications. ISED 2014: 120-124 - [c11]Xi Chen, Arpit Jain, Larry S. Davis:
Object co-labeling in multiple images. WACV 2014: 721-728 - 2013
- [c10]Arpit Jain, Abhinav Gupta, Mikel Rodriguez, Larry S. Davis:
Representing Videos Using Mid-level Discriminative Patches. CVPR 2013: 2571-2578 - [c9]Srikumar Ramalingam, Jaishanker K. Pillai, Arpit Jain, Yuichi Taguchi:
Manhattan Junction Catalogue for Spatial Reasoning of Indoor Scenes. CVPR 2013: 3065-3072 - [c8]Gagandeep Kaur, Suyash Varma, Arpit Jain:
A novel statistical technique for detection of DDoS attacks in KDD dataset. IC3 2013: 393-398 - [c7]Rahul Gupta, Arpit Jain, Satakshi Rana, Sanjay Singh:
Contextual information based recommender system using Singular Value Decomposition. ICACCI 2013: 2084-2089 - [c6]Arpit Jain, Shikha Agrawal, Jitendra Agrawal, Sanjeev Kumar Sharma:
F-FDRPSO: A Novel Approach Based on Hybridization of Fuzzy C-means and FDRPSO for Gene Clustering. SocProS (1) 2013: 709-719 - 2011
- [c5]Xi Chen, Arpit Jain, Abhinav Gupta, Larry S. Davis:
Piecing together the segmentation jigsaw using context. CVPR 2011: 2001-2008 - 2010
- [c4]Arpit Jain, Abhinav Gupta, Larry S. Davis:
Learning What and How of Contextual Models for Scene Labeling. ECCV (4) 2010: 199-212
2000 – 2009
- 2009
- [c3]Saiprasad Ravishankar, Arpit Jain, Anurag Mittal:
Automated feature extraction for early detection of diabetic retinopathy in fundus images. CVPR 2009: 210-217 - 2008
- [c2]Saiprasad Ravishankar, Arpit Jain, Anurag Mittal:
Multi-stage Contour Based Detection of Deformable Objects. ECCV (1) 2008: 483-496 - 2005
- [c1]HweeHwa Pang, Arpit Jain, Krithi Ramamritham, Kian-Lee Tan:
Verifying Completeness of Relational Query Results in Data Publishing. SIGMOD Conference 2005: 407-418
Coauthor Index
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last updated on 2024-09-05 02:10 CEST by the dblp team
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