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- Vikrant S. Kaulgud
aka: Vikrant Kaulgud - Suryanarayana Vikrant Karra
Oak Ridge National Laboratory, TN, USA - Vikrant Kumar Saini
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Publication search results
found 267 matches
- 2024
- Ritu Kapur, Yashwant Kumar, Ritik Sharma, Shivani Sharma, Eishkaran Singh, Dhruv Rohilla, Vikrant Kanwar, Bhupender Kumar, Arnav Bhavsar, Varun Dutt:
GlucoBreath: An IoT, ML, and Breath-Based Non-Invasive Glucose Meter. IEEE Access 12: 59346-59360 (2024) - Sumon Modak, Vikrant Kaim, Taimoor Khan, Binod Kumar Kanaujia, Ladislau Matekovits, Karumudi Rambabu:
Design and Performance Measurement of Worn-on-Body Instrumental Ultra-Miniaturized UWB Wearable Patch for e-Health Monitoring. IEEE Access 12: 25719-25730 (2024) - Pamalla Veena, Rage Uday Kiran, Penugonda Ravikumar, Likhitha Palla, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda, Bathala Venus Vikranth Raj:
3P-ECLAT: mining partial periodic patterns in columnar temporal databases. Appl. Intell. 54(11-12): 657-679 (2024) - Satvik Vats, Vikrant Sharma, Karan Singh, Anvesha Katti, Mazeyanti M. Ariffin, Mohammad Nazir Ahmad, Ali Ahmadian, Soheil Salahshour:
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images. Expert Syst. Appl. 238(Part E): 122129 (2024) - Satvik Vats, Vikrant Sharma, Karan Singh, Devesh Pratap Singh, Mohd Yazid Bajuri, David Taniar, Nisreen Innab, Abir Mouldi, Ali Ahmadian:
Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images. Expert Syst. Appl. 255: 124464 (2024) - Khushiyant, Vidhu Mathur, Sandeep Kumar, Vikrant Shokeen:
REEGNet: A resource efficient EEGNet for EEG trail classification in healthcare. Intell. Decis. Technol. 18(2): 1463-1476 (2024) - Apoorva Vikrant Kulkarni, Shaji Joseph, Kanchan Pranay Patil:
Artificial intelligence technology readiness for social sustainability and business ethics: Evidence from MSMEs in developing nations. Int. J. Inf. Manag. Data Insights 4(2): 100250 (2024) - Pawan Kumar Singh, Ram Sarkar, Vikrant Bhateja, Mita Nasipuri:
A comprehensive handwritten Indic script recognition system: a tree-based approach. J. Ambient Intell. Humaniz. Comput. 15(1): 943-960 (2024) - Anton H. van der Vegt, Victoria Campbell, Imogen Mitchell, James Malycha, Joanna Simpson, Tracy Flenady, Arthas Flabouris, Paul J. Lane, Naitik Mehta, Vikrant R. Kalke, Jovie A Decoyna, Nicholas Es'haghi, Chun-Huei Liu, Ian A Scott:
Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain. J. Am. Medical Informatics Assoc. 31(2): 509-524 (2024) - Fotios Petropoulos, Gilbert Laporte, Emel Aktas, Sibel A. Alumur, Claudia Archetti, Hayriye Ayhan, Maria Battarra, Julia A. Bennell, Jean-Marie Bourjolly, John E. Boylan, Michèle Breton, David Canca, Laurent Charlin, Bo Chen, Cihan Tugrul Cicek, Louis Anthony Cox, Christine S. M. Currie, Erik Demeulemeester, Li Ding, Stephen M. Disney, Matthias Ehrgott, Martin J. Eppler, Günes Erdogan, Bernard Fortz, L. Alberto Franco, Jens Frische, Salvatore Greco, Amanda J. Gregory, Raimo P. Hämäläinen, Willy Herroelen, Mike Hewitt, Jan Holmström, John N. Hooker, Tugçe Isik, Jill Johnes, Bahar Yetis Kara, Özlem Karsu, Katherine Kent, Charlotte Köhler, Martin H. Kunc, Yong-Hong Kuo, Adam N. Letchford, Janny Leung, Dong Li, Haitao Li, Judit Lienert, Ivana Ljubic, Andrea Lodi, Sebastián Lozano, Virginie Lurkin, Silvano Martello, Ian G. McHale, Gerald Midgley, John D. W. Morecroft, Akshay Mutha, Ceyda Oguz, Sanja Petrovic, Ulrich Pferschy, Harilaos N. Psaraftis, Sam Rose, Lauri Saarinen, Saïd Salhi, Jing-Sheng Song, Dimitrios Sotiros, Kathryn E. Stecke, Arne K. Strauss, Istenç Tarhan, Clemens Thielen, Paolo Toth, Tom Van Woensel, Greet Vanden Berghe, Christos Vasilakis, Vikrant Vaze, Daniele Vigo, Kai Virtanen, Xun Wang, Rafal Weron, Leroy White, Mike Yearworth, E. Alper Yildirim, Georges Zaccour, Xuying Zhao:
Operational Research: methods and applications. J. Oper. Res. Soc. 75(3): 423-617 (2024) - Sannasi Ganapathy, Vikrant Thoidingjam, Amrit Sen:
A brain tumor prediction system for detecting the tumor disease using mini batch K-Means clustering and CNN. Multim. Tools Appl. 83(35): 83053-83091 (2024) - Vikrant Vikram Singh, Nishant Kumar, Shailender Singh, Meenakshi Kaul, Aditya Kumar Gupta, P. K. Kapur:
Assessment of artificial intelligence-based digital learning systems in higher education amid the pandemic using analytic hierarchy. Int. J. Syst. Assur. Eng. Manag. 15(8): 4069-4084 (2024) - Harendra Singh, Vikrant Vikram Singh, Aditya Kumar Gupta, P. K. Kapur:
Assessing e-learning platforms in higher education with reference to student satisfaction: a PLS-SEM approach. Int. J. Syst. Assur. Eng. Manag. 15(10): 4885-4896 (2024) - Mark Bun, Gautam Kamath, Argyris Mouzakis, Vikrant Singhal:
Not All Learnable Distribution Classes are Privately Learnable. ALT 2024: 390-401 - K. S. Vikrant, Diyako Dadkhah, S. O. Reza Moheimani:
Measurement of electromagnetic force using a feedback-controlled MEMS force sensor*. ANZCC 2024: 90-91 - Srini Rohan Gujulla Leel, Vikrant Dey, Puspita Majumdar, Ankit Khairkar:
HierTGAN: Hierarchical Time Series Generation with Aggregation Constraints. COMAD/CODS 2024: 217-221 - Syed Tauseeq Hussain, Mario Antonio Nogueira Mansur Carvalho, Vikrant Kishor Rathod, Srinivasa Mani Sankar Reddy Karri, Xinrui Yu, Mikhail Gromov, Jafar Saniie:
Facial Recognition Attendance Tracking: An Intelligent Monitoring Approach. EIT 2024: 520-524 - Vikrant Shokeen, Sandeep Kumar, Amit Sharma, Ahmad Taher Azar, Nashwa Ahmad Kamal, Chakib Ben Njima:
The Power of Few: Dynamic Interaction Modeling in Few-Shot Learning Using Graph Neural Networks and Attention Mechanisms. ICCAD 2024: 1-6 - Tushar Choudhary, Vikrant Dewangan, Shivam Chandhok, Shubham Priyadarshan, Anushka Jain, Arun K. Singh, Siddharth Srivastava, Krishna Murthy Jatavallabhula, K. Madhava Krishna:
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving. ICRA 2024: 16345-16352 - Priyavanshi Pathania, Rohit Mehra, Samarth Sikand, Vibhu Saujanya Sharma, Vikrant Kaulgud, Nikhil Bamby, Sanjay Podder, Adam P. Burden:
Towards a Framework for Carbon-Aware Virtual Machine Management. ICSA-C 2024: 250-251 - Kanchanjot Kaur Phokela, Kapil Singi, Vikrant Kaulgud:
Embedding Privacy First Human Centric in User Experience for Mobile Applications. ISEC 2024: 11:1-11:5 - Samarth Sikand, Kanchanjot Kaur Phokela, Vibhu Saujanya Sharma, Kapil Singi, Vikrant Kaulgud, Teresa Tung, Pragya Sharma, Adam P. Burden:
How much SPACE do metrics have in GenAI assisted software development? ISEC 2024: 14:1-14:5 - Ali Safa, Vikrant Jaltare, Samira Sebt, Kameron Gano, Johannes Leugering, Georges G. E. Gielen, Gert Cauwenberghs:
Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling. NICE 2024: 1-5 - Ritu Kapur, Ritik Sharma, Vikrant Kanwar, Arnav Bhavsar, Varun Dutt:
SugarControl: An Integrative Mobile App for Type 2 Diabetes Management through Yoga Meditation and Lifestyle Interventions. PETRA 2024 - Samarth Sikand, Rohit Mehra, Vibhu Saujanya Sharma, Vikrant Kaulgud, Sanjay Podder, Adam P. Burden:
Do Generative AI Tools Ensure Green Code? An Investigative Study. RAIE@ICSE 2024: 52-55 - Mark Bun, Gautam Kamath, Argyris Mouzakis, Vikrant Singhal:
Not All Learnable Distribution Classes are Privately Learnable. CoRR abs/2402.00267 (2024) - Ali Safa, Vikrant Jaltare, Samira Sebt, Kameron Gano, Johannes Leugering, Georges G. E. Gielen, Gert Cauwenberghs:
Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling. CoRR abs/2402.06284 (2024) - K. S. Vikrant, Diyako Dadkhah, S. O. Reza Moheimani:
Optimisation of design parameters to improve performance of a planar electromagnetic actuator. CoRR abs/2402.13436 (2024) - Pravneet Kaur, Gautam Siddharth Kashyap, Ankit Kumar, Md. Tabrez Nafis, Sandeep Kumar, Vikrant Shokeen:
From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility. CoRR abs/2402.16142 (2024) - Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma, János Kramár, Rohin Shah, Neel Nanda:
Improving Dictionary Learning with Gated Sparse Autoencoders. CoRR abs/2404.16014 (2024)
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