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ORCIDDebanjan Das
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2020 – today
- 2024
[j18]Ashish Marisetty, Prathistith Raj Medi, Praneeth Nemani
, Venkanna Udutalapally, Debanjan Das:
Integrating multimodal learning for improved vital health parameter estimation. Comput. Biol. Medicine 183: 109104 (2024)- [j17]Sagnik Ghosal, Debanjan Das, Jay Kumar Rai, Akanksha Singh Pandaw, Sakshi Verma:
iScan: Detection of Colorectal Cancer from CT Scan Images Using Deep Learning. ACM Trans. Comput. Heal. 5(3): 14:1-14:22 (2024) - [j16]Sagnik Ghosal, Debanjan Das, Venkanna Udutalapally, Srivatsan Sridhar, Syed Maaiz Syed Shabbeer Basha, Preetam Narayan Wasnik:
DeepVitals: Deep neural and IoT based vitals monitoring in smart teleconsultation system. Internet Things 25: 101117 (2024) - [c27]Anmol Agrawal, Aparna Sinha, Debanjan Das:
LSTM-Autoencoder-Based Interpretable Predictive Maintenance Framework for Industrial Systems. I2MTC 2024: 1-6 - [c26]Amar Sinha, Anmol Agrawal, Sandip Roy, Venkanna Uduthalapally, Debanjan Das, Rajarshi Mahapatra, Sachin Shetty:
AnDet: ML-Based Anomaly Detection of UEs in a Multi-cell B5G Mobile Network for Improved QoS. ICNC 2024: 500-505 - 2023
- [j15]Aparna Sinha, Deepraj Chowdhury, Sandeep Sharma, Yashasva Raj Sherke, Debanjan Das:
nCare: Fault-aware edge intelligence for rendering viable sensor nodes. Internet Things 21: 100643 (2023) - [j14]Atonu Ghosh, Sudip Misra, Venkanna Udutalapally, Debanjan Das:
LoRaute: Routing Messages in Backhaul LoRa Networks for Underserved Regions. IEEE Internet Things J. 10(22): 19964-19971 (2023) - [j13]Shaurjya Mandal, Debanjan Das, Venkanna Udutalapally:
mSickle: sickle cell identification through gradient evaluation and smartphone microscopy. J. Ambient Intell. Humaniz. Comput. 14(10): 13319-13331 (2023) - [j12]Amit Kumar Shrivastava, Debanjan Das, Rajarshi Mahapatra:
Detection and ISI mitigation in mobile molecular communication system for targeted drug delivery. Nano Commun. Networks 38: 100476 (2023) - [j11]Aparna Sinha, Akanksha Singh Pandaw, Debanjan Das:
An Intelligent Fault Detection Framework for HVAC Systems with Alert Generation. SN Comput. Sci. 4(5): 616 (2023) - [j10]Anshita Gupta, Sudip Misra, Nidhi Pathak, Debanjan Das:
FedCare: Federated Learning for Resource-Constrained Healthcare Devices in IoMT System. IEEE Trans. Comput. Soc. Syst. 10(4): 1587-1596 (2023) - [j9]Vaibhav Kotiyal, Anshita Gupta, Pallav Kumar Deb, Subhas Chandra Misra, Debanjan Das, Venkanna Uduthalapally:
Skipper: A Federated Siamese Network-Based Group Activity Segregator for IoMT Systems. IEEE Trans. Comput. Soc. Syst. 10(4): 1770-1779 (2023) - [c25]Amar Sinha, Venkanna Uduthalapally, Debanjan Das, Rajarshi Mahapatra:
SDN-Based Seamless Mobility Management for B5G Services in High-Speed Railways. ANTS 2023: 294-299 - [c24]Amit K. Shrivastava, Satish Kumar, Khushboo Sahu, Bhavesh Sonwani, Dixit Sharma, Dipti S. Srivastava, Navneet Garg, Arzad Alam Kherani, Vimal Bhatia, Soumava Mukherjee, Samrat Mukhopadhyay, Priyanka Das, Rajarshi Mahapatra, Debanjan Das, Brejesh Lall:
TSDSI Standards Driven Implementation of Smart Radio Environment. ANTS 2023: 497-502 - [c23]Jyoti Prajapati, Venkanna Uduthalapally, Debanjan Das, Rajarshi Mahapatra, Preetam Narayan Wasnik:
XAIA: An Explainable AI Approach for Classification and Analysis of Blood Anemia. OCIT 2023: 88-93 - [c22]Aparna Sinha, Debanjan Das:
Machine Learning-based Explainable Stator Fault Diagnosis in Induction Motor using Vibration Signal. I2MTC 2023: 1-6 - [c21]Murukuri S. V. S. V. Vasanth, Paul Akash Gunturu, Aparna Sinha, Debanjan Das:
DELiB: Deep Extreme Learning-Based Health Estimation for Lithium-ion Battery. I2MTC 2023: 1-6 - [c20]Gonthina Sai Sriram, S. V. S. Aditya, Gannoju Akshar Teja, Venkanna Uduthalapally, Debanjan Das:
Drone Vision Based Abiotic Stress Monitoring for Smart Agriculture. iSES 2023: 218-223 - [c19]Abhinay Bhandekar, Venkanna Udutalapally, Debanjan Das:
Acoustic Based Chicken Health Monitoring in Smart Poultry Farms. iSES 2023: 224-229 - [i4]Ashish Marisetty, Prathistith Raj Medi, Praneeth Nemani, Venkanna Udutalapally, Debanjan Das:
Advancing Smart Malnutrition Monitoring: A Multi-Modal Learning Approach for Vital Health Parameter Estimation. CoRR abs/2307.16745 (2023) - 2022
- [j8]Sagnik Ghosal, Debanjan Das, Venkanna Udutalapally, Preetam Narayan Wasnik:
iNAP: A Hybrid Approach for NonInvasive Anemia-Polycythemia Detection in the IoMT. ACM Trans. Comput. Heal. 3(3): 31:1-31:28 (2022) - [j7]Debanjan Das, Sagnik Ghosal, Saraju P. Mohanty:
CoviLearn: A Machine Learning Integrated Smart X-Ray Device in Healthcare Cyber-Physical System for Automatic Initial Screening of COVID-19. SN Comput. Sci. 3(2): 150 (2022) - [j6]Anamika Rajbanshi, Debanjan Das, Venkanna Uduthalapally, Rajarshi Mahapatra:
dLeak: An IoT-Based Gas Leak Detection Framework for Smart Factory. SN Comput. Sci. 3(4): 273 (2022) - [j5]Aparna Sinha, Debanjan Das, Venkanna Uduthalapally, Saraju P. Mohanty:
iThing: Designing Next-Generation Things With Battery Health Self-Monitoring Capabilities for Sustainable IIoT. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [c18]Vipulesh Tiwari, Debanjan Das:
iHELM:An IoT-Based Smart Helmet for Real-time Motorbike Accident Detection and Emergency Healthcare Services. OCIT 2022: 531-536 - [c17]Aneesh Bhattacharya, Risav Rana, Venkanna Udutalapally, Debanjan Das:
CoviFL: Edge-Assisted Federated Learning for Remote COVID-19 Detection in an AIoMT Framework. ISCC 2022: 1-6 - [c16]Aparna Sinha, Debanjan Das:
On-board Battery Health Prediction in Sensor Node for Sustainable IoT. iSES 2022: 453-454 - [c15]Karam Bharat Singh, Neha Sengar, Debanjan Das, Subhas Chandra Misra:
Village 5.0: Enabling Technologies and its Applications in Development of Smart Village. iSES 2022: 556-561 - [c14]Shruti Raje, Varaprasad Erapu, U. Venkanna, Debanjan Das:
eGWQI: Edge Intelligence Based Ground Water Quality Monitoring System for Smart Irrigation. iSES 2022: 568-573 - 2021
- [j4]Debanjan Das, Venkanna Udutalapally, Saraju P. Mohanty:
Consumer Technologies for Smart Agriculture. IEEE Consumer Electron. Mag. 10(4): 49-50 (2021) - [j3]Amit Kumar Shrivastava, Debanjan Das, Rajarshi Mahapatra:
Particle-Based Simulation of the Differential Detectors for Mobile Molecular Communication. IEEE Commun. Lett. 25(9): 3008-3012 (2021) - [j2]Amit Kumar Shrivastava, Debanjan Das, Rajarshi Mahapatra:
Performance Evaluation of Mobile Molecular Communication System Using Neural Network Detector. IEEE Wirel. Commun. Lett. 10(8): 1776-1779 (2021) - [c13]Prathistith Raj Medi, Praneeth Nemani, Vivek Reddy Pitta, Venkanna Udutalapally, Debanjan Das, Saraju P. Mohanty:
SkinAid: A GAN-based Automatic Skin Lesion Monitoring Method for IoMT Frameworks. OCIT 2021: 200-205 - [c12]Amit K. Shrivastava, Debanjan Das, Rajarshi Mahapatra, Neeraj Varshney:
Scaled Conjugate Gradient Algorithm for Neural Network Detector in Mobile Molecular Communication. GLOBECOM 2021: 1-6 - [c11]Pranjal Joshi, Debanjan Das, Venkanna Udutalapally, Subhas C. Misra:
FarmEdge: A Unified Edge Computing Framework Enabling Digital Agriculture. iSES 2021: 255-260 - [c10]Sakshi Singh, Shalini Agrawal, Tina Sahu, Debanjan Das:
iPipe: Water Pipeline Monitoring and Leakage Detection. iSES 2021: 367-372 - [i3]Debanjan Das, Chirag Samal, Deewanshu Ukey, Gourav Chowdhary, Saraju P. Mohanty:
CoviLearn: A Machine Learning Integrated Smart X-Ray Device in Healthcare Cyber-Physical System for Automatic Initial Screening of COVID-19. CoRR abs/2106.05861 (2021) - [i2]Aparna Sinha, Debanjan Das, Venkanna Udutalapally, Mukil Kumar Selvarajan, Saraju P. Mohanty:
iThing: Designing Next-Generation Things with Battery Health Self-Monitoring Capabilities for Sustainable IoT in Smart Cities. CoRR abs/2106.06678 (2021) - 2020
- [c9]Amit Kumar Shrivastava, Debanjan Das, Rajarshi Mahapatra:
Adaptive Threshold Detection and ISI Mitigation in Mobile Molecular Communication. WCNC 2020: 1-6
2010 – 2019
- 2019
- [c8]Shubham Yadav, Sakthi Ganesh, Debanjan Das, U. Venkanna, Rajarshi Mahapatra, Ankur Kumar Shrivastava, Prantar Chakrabarti, Asoke K. Talukder:
Suśruta: Artificial Intelligence and Bayesian Knowledge Network in Health Care - Smartphone Apps for Diagnosis and Differentiation of Anemias with Higher Accuracy at Resource Constrained Point-of-Care Settings. BDA 2019: 159-175 - [c7]Pratik Sanjay Wagh, Debanjan Das, Om P. Damani:
Well Detection in Satellite Images using Convolutional Neural Networks. GISTAM 2019: 117-125 - [c6]Vishal Pallagani, Vedant Khandelwal, Bharath Chandra, Venkanna Udutalapally, Debanjan Das, Saraju P. Mohanty:
dCrop: A Deep-Learning Based Framework for Accurate Prediction of Diseases of Crops in Smart Agriculture. iSES 2019: 29-33 - [c5]Siddhant Kumar, Gourav Chowdhary, Venkanna Udutalapally, Debanjan Das, Saraju P. Mohanty:
gCrop: Internet-of-Leaf-Things (IoLT) for Monitoring of the Growth of Crops in Smart Agriculture. iSES 2019: 53-56 - 2017
- [c4]Satarupa Biswas, Debanjan Das, Manjunatha Mahadevappa, Soumen Das:
Characterization of retinal tissue and vitreous humor with Electrical Impedance Spectroscopy. NER 2017: 190-193 - 2016
- [c3]Kamal Sarkar, Debanjan Das, Indra Banerjee, Mamta Kumari, Prasenjit Biswas:
JU_KS_Group@FIRE 2016: Consumer Health Information Search. FIRE (Working Notes) 2016: 208-213 - [i1]Kamal Sarkar, Debanjan Das, Indra Banerjee, Mamta Kumari, Prasenjit Biswas:
JU_KS_Group@FIRE 2016: Consumer Health Information Search. CoRR abs/1612.08178 (2016) - 2015
- [c2]Soumen Das, Debanjan Das, Sudip Maiti, Karabi Biswas:
A bioimpedance-based microflow cytometer with compact electronic instrumentation for counting of microparticles. ICST 2015: 157-161 - [c1]Debanjan Das, Karabi Biswas, Soumen Das:
Dielectrophoresis based microfluidic chip for continuous label-free separation of cells. ICST 2015: 728-732 - 2014
- [j1]Debanjan Das, Farhan Ahmad Kamil, Snehil Agrawal, Karabi Biswas, Soumen Das:
Fragmental Frequency Analysis Method to Estimate Electrical Cell Parameters From Bioimpedance Study. IEEE Trans. Instrum. Meas. 63(8): 1991-2000 (2014)
Coauthor Index
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last updated on 2024-11-07 21:31 CET by the dblp team
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