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ORCIDGeetanjali Sharma
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2020 – today
- 2024
[j8]Chavi Ralhan
, Navneet Malik, Prateek Agrawal, Charu Gupta, Nishtha jatana, Divya Jatain, Geetanjali Sharma:
Adaptive Prefix Filtering for Accurate Code Clone Detection in Conjunction with Meta-learning. SN Comput. Sci. 5(6): 789 (2024)- [c5]Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, Raghavendra Ramachandra:
FH-SSTNet: Forehead Creases based User Verification using Spatio-Spatial Temporal Network. IWBF 2024: 1-6 - [i3]Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, Raghavendra Ramachandra:
FH-SSTNet: Forehead Creases based User Verification using Spatio-Spatial Temporal Network. CoRR abs/2403.16202 (2024) - [i2]Abhishek Tandon, Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, Raghavendra Ramachandra:
Synthetic Forehead-creases Biometric Generation for Reliable User Verification. CoRR abs/2408.15693 (2024) - 2023
- [j7]Geetanjali Sharma, Amit Mahesh Joshi, Richa Gupta, Linga Reddy Cenkeramaddi:
DepCap: A Smart Healthcare Framework for EEG Based Depression Detection Using Time-Frequency Response and Deep Neural Network. IEEE Access 11: 52327-52338 (2023) - [j6]Geetanjali Sharma, Amit Mahesh Joshi, Deepshikha Yadav, Saraju P. Mohanty:
A Smart Healthcare Framework for Accurate Detection of Schizophrenia Using Multichannel EEG. IEEE Trans. Instrum. Meas. 72: 1-9 (2023) - [c4]Abhijit Das, Saurabh Atreya, Aritra Mukherjee, Matej Vitek, Haiqing Li, Caiyong Wang, Guangzhe Zhao, Fadi Boutros, Patrick Siebke, Jan Niklas Kolf, Naser Damer, Sun Ye, Lu Hexin, Fan Aobo, You Sheng, Sabari Nathan, R. Suganya, R. S. Rampriya, Geetanjali Sharma, P. Priyanka, Aditya Nigam, Peter Peer, Umapada Pal, Vitomir Struc:
Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023. IJCB 2023: 1-10 - [c3]Gaurav Jaswal, Geetanjali Sharma, Varun Dutt, Arnav Bhavsar:
Learning channel attention for decoding of visual imagined text from multi-band EEG using metric learning. PETRA 2023: 720-727 - 2022
- [j5]Avadhoot Khairnar, Bhavuk Chauhan, Geetanjali Sharma, Amit M. Joshi:
High-Performance 32-Bit Parallel Hybrid Adder Design Using RNS and Hybrid PTL/CMOS Logic. J. Circuits Syst. Comput. 31(11): 2250200:1-2250200:16 (2022) - [j4]Avadhoot Khairnar, Bhavuk Chauhan, Geetanjali Sharma, Amit M. Joshi:
Erratum: High-Performance 32-Bit Parallel Hybrid Adder Design Using RNS and Hybrid PTL/CMOS Logic. J. Circuits Syst. Comput. 31(18): 2292001:1-2292001:2 (2022) - [j3]Geetanjali Sharma, Amit Mahesh Joshi, Emmanuel S. Pilli:
DepML: An Efficient Machine Learning-Based MDD Detection System in IoMT Framework. SN Comput. Sci. 3(5): 394 (2022) - [j2]Geetanjali Sharma, Amit M. Joshi:
SzHNN: A Novel and Scalable Deep Convolution Hybrid Neural Network Framework for Schizophrenia Detection Using Multichannel EEG. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - 2021
- [j1]Geetanjali Sharma, Abhishek Parashar, Amit Mahesh Joshi:
DepHNN: A novel hybrid neural network for electroencephalogram (EEG)-based screening of depression. Biomed. Signal Process. Control. 66: 102393 (2021) - [c2]Geetanjali Sharma, Amit Mahesh Joshi, Emmanuel S. Pilli:
An Automated MDD Detection System based on Machine Learning Methods in Smart Connected Healthcare. iSES 2021: 27-32 - [i1]Geetanjali Sharma, Amit Mahesh Joshi:
Novel EEG based Schizophrenia Detection with IoMT Framework for Smart Healthcare. CoRR abs/2111.11298 (2021)
2010 – 2019
- 2014
- [c1]Ankish Handa, Jitesh Chawla, Geetanjali Sharma:
A novel high performance low power CMOS NOR gate using Voltage Scaling and MTCMOS technique. ICACCI 2014: 624-629
Coauthor Index
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