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Manik Gupta
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2020 – today
- 2024
- [j15]Priyanka Gupta, Saandra Nandakumar, Manik Gupta, Ganapati Panda:
Data programming enabled weak supervised labeling for ECG time series. Biomed. Signal Process. Control. 87(Part A): 105540 (2024) - [j14]Yee Ling Boo, Manik Gupta, Weijia Zhang, Philippe Fournier-Viger:
Special Issue Editorial on "The Innovative Use of Data Science to Transform How We Work and Live". Data Sci. Eng. 9(1): 3-4 (2024) - [j13]Anil Kumar Chillara, Paresh Saxena, Rajib Ranjan Maiti, Manik Gupta, Raghu Kondapalli, Zhichao Zhang, Krishnakumar Kesavan:
Deceiving supervised machine learning models via adversarial data poisoning attacks: a case study with USB keyboards. Int. J. Inf. Sec. 23(3): 2043-2061 (2024) - [j12]Harsha Varun Marisetty, Nida Fatima, Manik Gupta, Paresh Saxena:
Relationship between resource scheduling and distributed learning in IoT edge computing - An insight into complementary aspects, existing research and future directions. Internet Things 28: 101375 (2024) - [j11]Ravi Bhushan, Soumil Hooda, Hiten Vidhani, Manik Gupta, Lavanya Suresh, Timothy Clune:
Supervised Model for Peri-Urban Area Demarcation in Hyderabad, India. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j10]Priyanka Gupta, Manik Gupta, Vijay Kumar:
An active learning enhanced data programming (ActDP) framework for ECG time series. Mach. Learn. Sci. Technol. 5(3): 35016 (2024) - [c20]Priyanka Gupta, Arunachala Amuda Murugan, Deep Chordia, Pavan Kumar Reddy Yannam, Manik Gupta:
A Comparative Study of Few-Shot Learning Methods for 1-D ECG Time-series Classification. ICHI 2024: 604-611 - [c19]Mandan Naresh, Paresh Saxena, Manik Gupta:
GRadient sharing A3C for Adaptive Bitrate (GRAAB): A DRL Based Approach for Adaptive Video Streaming. ICOIN 2024: 114-119 - [c18]Ravi Bhushan, Nagadhanush K. V, Manik Gupta, Lavanya Suresh, Timothy Clune:
An ANN based model to analyze metropolitan growth around Melbourne, Australia. IGARSS 2024: 4710-4713 - 2023
- [j9]Manik Gupta, Ram Bahadur Patel, Shaily Jain, Hitendra Garg, Bhisham Sharma:
Lightweight branched blockchain security framework for Internet of Vehicles. Trans. Emerg. Telecommun. Technol. 34(11) (2023) - [j8]Soumil Hooda, Manik Gupta, Randhir Singh, Satya P. Ojha:
Retrieval of Atmospheric Water Vapor Profiles From COSMIC-2 Radio Occultation Constellation Using Machine Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-7 (2023) - [c17]Mandan Naresh, Paresh Saxena, Manik Gupta:
PPO-ABR: Proximal Policy Optimization based Deep Reinforcement Learning for Adaptive BitRate streaming. IWCMC 2023: 199-204 - [c16]Mandan Naresh, Paresh Saxena, Manik Gupta:
Deep Reinforcement Learning with Importance Weighted A3C for QoE enhancement in Video Delivery Services. WoWMoM 2023: 97-106 - [c15]Nikumani Choudhury, Manik Gupta, Moustafa M. Nasralla, Satoshi Fujita:
Extended Adaptive Data-Rate (X-ADR) Technique for Optimal Resource Allocation in Smart City Applications. WoWMoM 2023: 445-450 - [i7]Mandan Naresh, Paresh Saxena, Manik Gupta:
Deep Reinforcement Learning with Importance Weighted A3C for QoE enhancement in Video Delivery Services. CoRR abs/2304.04527 (2023) - [i6]Mandan Naresh, Paresh Saxena, Manik Gupta:
PPO-ABR: Proximal Policy Optimization based Deep Reinforcement Learning for Adaptive BitRate streaming. CoRR abs/2305.08114 (2023) - 2022
- [j7]Shreeya Nelekar, Amal Abdulrahman, Manik Gupta, Deborah Richards:
Effectiveness of embodied conversational agents for managing academic stress at an Indian University (ARU) during COVID-19. Br. J. Educ. Technol. 53(3): 491-511 (2022) - [j6]Mandan Naresh, Vikramjeet Das, Paresh Saxena, Manik Gupta:
Deep reinforcement learning based QoE-aware actor-learner architectures for video streaming in IoT environments. Computing 104(7): 1527-1550 (2022) - [j5]Nida Fatima, Paresh Saxena, Manik Gupta:
Integration of multi access edge computing with unmanned aerial vehicles: Current techniques, open issues and research directions. Phys. Commun. 52: 101641 (2022) - [j4]Manik Gupta, Bhisham Sharma, Akarsh Tripathi, Shashank Singh, Abhishek Bhola, Rajani Singh, Ashutosh Dhar Dwivedi:
n-Player Stochastic Duel Game Model with Applied Deep Learning and Its Modern Implications. Sensors 22(6): 2422 (2022) - [j3]Manik Gupta, Rakesh Kumar, Shashi Shekhar, Bhisham Sharma, Ram Bahadur Patel, Shaily Jain, Imed Ben Dhaou, Celestine Iwendi:
Game Theory-Based Authentication Framework to Secure Internet of Vehicles with Blockchain. Sensors 22(14): 5119 (2022) - [c14]Pavan Kumar Reddy Yannam, Vineet Venkatesh, Manik Gupta:
Research Study and System Design for Evaluating Student Stress in Indian Academic Setting. COMSNETS 2022: 54-59 - [c13]Mandan Naresh, Nandiraju Gireesh, Paresh Saxena, Manik Gupta:
SAC-ABR: Soft Actor-Critic based deep reinforcement learning for Adaptive BitRate streaming. COMSNETS 2022: 353-361 - [i5]Priyanka Gupta, Sathvik Bhaskarpandit, Manik Gupta:
Similarity Learning based Few Shot Learning for ECG Time Series Classification. CoRR abs/2202.00612 (2022) - [i4]Sathvik Bhaskarpandit, Priyanka Gupta, Manik Gupta:
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero Shot Learning. CoRR abs/2207.12007 (2022) - 2021
- [j2]Shailendra Kumar, Manik Gupta, Mohd Suhaib, Mohammad Asjad:
Current status, enablers and barriers of implementing cellular manufacturing system in sports industry through ISM. Int. J. Syst. Assur. Eng. Manag. 12(3): 345-360 (2021) - [c12]Priyanka Gupta, Sathvik Bhaskarpandit, Manik Gupta:
Similarity Learning based Few Shot Learning for ECG Time Series Classification. DICTA 2021: 1-8 - [c11]Digvijay Singh, Rishabh Singh, Rahul Ajmeria, Manik Gupta, R. N. Ponnalagu:
DAWSSM: A plug-and-play Drone Assisted Water Sampling and Sensing Module. IECON 2021: 1-6 - 2020
- [j1]Manik Gupta, Nigel Phillips:
Knowledge Discovery Using Topological Analysis for Building Sensor Data. Sensors 20(17): 4914 (2020) - [c10]Paresh Saxena, Mandan Naresh, Manik Gupta, Anirudh Achanta, Sastri Kota, Smrati Gupta:
NANCY: Neural Adaptive Network Coding methodologY for video distribution over wireless networks. GLOBECOM 2020: 1-6 - [c9]Manik Gupta:
Poster Abstract: Topological Analysis for Knowledge Discovery from Building Sensor Data. IoTDI 2020: 258-259 - [i3]Paresh Saxena, Mandan Naresh, Manik Gupta, Anirudh Achanta, Sastri Kota, Smrati Gupta:
NANCY: Neural Adaptive Network Coding methodologY for video distribution over wireless networks. CoRR abs/2008.09559 (2020) - [i2]Sivaramakrishnan K. N., Lipika Deka, Manik Gupta:
Use of Remote Sensing Data to Identify Air Pollution Signatures in India. CoRR abs/2012.00402 (2020)
2010 – 2019
- 2019
- [c8]Michal Choras, Marek Pawlicki, Rafal Kozik, Konstantinos P. Demestichas, Pavlos Kosmides, Manik Gupta:
SocialTruth Project Approach to Online Disinformation (Fake News) Detection and Mitigation. ARES 2019: 68:1-68:10 - 2017
- [c7]Maitreyee Dey, Manik Gupta, Mikdam Turkey, Sandra E. M. Dudley:
Unsupervised learning techniques for HVAC terminal unit behaviour analysis. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-7 - 2015
- [c6]Manik Gupta, Catherine Holloway, Behzad Momahed Heravi, Stephen Hailes:
A comparison between smartphone sensors and bespoke sensor devices for wheelchair accessibility studies. ISSNIP 2015: 1-6 - 2014
- [c5]Lamling Venus Shum, Stephen Hailes, Manik Gupta, Eliane L. Bodanese, Pachamuthu Rajalakshmi, Uday B. Desai:
Bi-scale temporal sampling strategy for traffic-induced pollution data with Wireless Sensor Networks. LCN 2014: 279-287 - [c4]Sabri-E. Zaman, Manik Gupta, Raul J. Mondragón, Eliane L. Bodanese:
An eigendecomposition based adaptive spatial sampling technique for wireless sensor networks. LCN 2014: 430-433 - 2013
- [c3]Manik Gupta, Eliane L. Bodanese, Lamling Venus Shum, Stephen Hailes:
Poster abstract: exploiting nonlinear data similarities-a multi-scale nearest-neighbor approach for adaptive sampling in wireless pollution sensor networks. IPSN 2013: 345-346 - [c2]Lamling Venus Shum, Manik Gupta, Eliane L. Bodanese, Styliani Karra, Nina Glover, Liora Malki-Epshtein, Stephen Hailes:
Bias adjustment of spatially-distributed wireless pollution sensors for environmental studies in India. SECON 2013: 318-326 - [i1]Lamling Venus Shum, Manik Gupta, Pachamuthu Rajalakshmi:
Data Analysis on the High-Frequency Pollution Data Collected in India. CoRR abs/1301.7231 (2013) - 2011
- [c1]Manik Gupta, Lamling Venus Shum, Eliane L. Bodanese, Stephen Hailes:
Design and evaluation of an adaptive sampling strategy for a wireless air pollution sensor network. LCN 2011: 1003-1010
Coauthor Index
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