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Prashant Singh
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2020 – today
- 2024
- [j28]Liang Cheng, Prashant Singh, Francesco Ferranti:
Transfer Learning-Assisted Inverse Modeling in Nanophotonics Based on Mixture Density Networks. IEEE Access 12: 55218-55224 (2024) - [j27]Kusum Lata, Prashant Singh, Sandeep Saini, Linga Reddy Cenkeramaddi:
Deep Learning-Based Brain Tumor Detection in Privacy-Preserving Smart Health Care Systems. IEEE Access 12: 140722-140733 (2024) - [j26]Kamal Upreti, Prashant Singh, Dhyanendra Jain, Amit Kumar Pandey, Anjani Gupta, Hare Ram Singh, Santosh Kumar Srivastava, Jay Shankar Prasad:
Progressive loss-aware fine-tuning stepwise learning with GAN augmentation for rice plant disease detection. Multim. Tools Appl. 83(37): 84565-84588 (2024) - [j25]Colby Fronk, Jaewoong Yun, Prashant Singh, Linda R. Petzold:
Bayesian polynomial neural networks and polynomial neural ordinary differential equations. PLoS Comput. Biol. 20(10): 1012414 (2024) - [c37]Aleksandr Karakulev, Dave Zachariah, Prashant Singh:
Adaptive Robust Learning using Latent Bernoulli Variables. ICML 2024 - [c36]Mithinti Srikanth, Prashant Singh, G. Ramakrishna:
GPU Algorithms for Fastest Path Problem in Temporal Graphs. ICPP 2024: 587-596 - [c35]Kusum Lata, Prashant Singh, Sandeep Saini:
Exploring Model Poisoning Attack to Convolutional Neural Network Based Brain Tumor Detection Systems. ISQED 2024: 1-7 - [i16]Liang Cheng, Prashant Singh, Francesco Ferranti:
Transfer learning-assisted inverse modeling in nanophotonics based on mixture density networks. CoRR abs/2401.12254 (2024) - [i15]Junjie Chu, Prashant Singh, Salman Toor:
Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities. CoRR abs/2402.06938 (2024) - [i14]Kamalkumar Rathinasamy, Jayarama Nettar, Amit Kumar, Vishal Manchanda, Arun Vijayakumar, Ayush Kataria, Venkateshprasanna Manjunath, Chidambaram GS, Jaskirat Singh Sodhi, Shoeb Shaikh, Wasim Akhtar Khan, Prashant Singh, Tanishq Dattatray Ige, Vipin Tiwari, Rajab Ali Mondal, Harshini K, S. Reka, Chetana Amancharla, Faiz Ur Rahman, Harikrishnan P. A, Indraneel Saha, Bhavya Tiwary, Navin Shankar Patel, Pradeep T. S, Balaji A J, Priyapravas, Mohammed Rafee Tarafdar:
EnterpriseEM: Fine-tuned Embeddings for Enterprise Semantic Search. CoRR abs/2406.00010 (2024) - 2023
- [j24]Ashwini Sapkal, Arti, Dishant Pawar, Prashant Singh:
Lane detection techniques for self-driving vehicle: comprehensive review. Multim. Tools Appl. 82(22): 33983-34004 (2023) - [c34]Junjie Chu, Prashant Singh, Salman Toor:
Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities. CLOUD 2023: 486-492 - [c33]Prashant Singh, Kusum Lata, Yash Gupta, Greek Sachdeva, Sandeep Saini:
Enhancing Privacy-Preserving Brain Tumor Detection in Medical Cyber-Physical Systems through Deep Learning Algorithms. iSES 2023: 180-185 - [i13]Hamed Alimohammadzadeh, Rohit Bernard, Yang Chen, Trung Phan, Prashant Singh, Shuqin Zhu, Heather Culbertson, Shahram Ghandeharizadeh:
Dronevision: An Experimental 3D Testbed for Flying Light Specks. CoRR abs/2308.10121 (2023) - [i12]Colby Fronk, Jaewoong Yun, Prashant Singh, Linda R. Petzold:
Bayesian polynomial neural networks and polynomial neural ordinary differential equations. CoRR abs/2308.10892 (2023) - [i11]Aleksandr Karakulev, Dave Zachariah, Prashant Singh:
Adaptive Parameter-Free Robust Learning using Latent Bernoulli Variables. CoRR abs/2312.00585 (2023) - 2022
- [j23]Ahmad M. Khasawneh, Prashant Singh, Geetika Aggarwal, Rajkumar Singh Rathore, Omprakash Kaiwartya:
E-Mobility Advisor for Connected and Autonomous Vehicles Environments. Ad Hoc Sens. Wirel. Networks 53(3-4): 213-244 (2022) - [j22]Surya Singh, Sarvesh Rai, Prashant Singh, Vijay Kumar Mishra:
Real-time water quality monitoring of River Ganga (India) using internet of things. Ecol. Informatics 71: 101770 (2022) - [j21]Richard M. Jiang, Prashant Singh, Fredrik Wrede, Andreas Hellander, Linda R. Petzold:
Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods. PLoS Comput. Biol. 18(1) (2022) - [j20]Adrien Coulier, Prashant Singh, Marc Sturrock, Andreas Hellander:
Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation. PLoS Comput. Biol. 18(12): 1010683 (2022) - [j19]Prashant Singh, Junayed Pasha, Ren Moses, John Sobanjo, Eren Erman Ozguven, Maxim A. Dulebenets:
Development of exact and heuristic optimization methods for safety improvement projects at level crossings under conflicting objectives. Reliab. Eng. Syst. Saf. 220: 108296 (2022) - [j18]Youngmin Park, Prashant Singh, Thomas G. Fai:
Coarse-Grained Stochastic Model of Myosin-Driven Vesicles into Dendritic Spines. SIAM J. Appl. Math. 82(3): 793-820 (2022) - [j17]Mattias Åkesson, Prashant Singh, Fredrik Wrede, Andreas Hellander:
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3353-3365 (2022) - [j16]Prashant Singh, Zeinab Elmi, Yui-yip Lau, Marta Borowska-Stefanska, Szymon Wisniewski, Maxim A. Dulebenets:
Blockchain and AI technology convergence: Applications in transportation systems. Veh. Commun. 38: 100521 (2022) - [c32]Omar Javed, Prashant Singh, Giles Reger, Salman Toor:
To test, or not to test: A proactive approach for deciding complete performance test initiation. IEEE Big Data 2022: 4758-4767 - [c31]Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Prashant Singh, Ola Spjuth, Salman Toor, Andreas Hellander:
Scalable federated machine learning with FEDn. CCGRID 2022: 555-564 - [c30]Manvendra Verma, Kamal Upreti, Mohammad Rafeek Khan, Mohammad Shabbir Alam, Soumi Ghosh, Prashant Singh:
Prediction of Compressive Strength of Geopolymer Concrete by Using Random Forest Algorithm. ICACIS 2022: 170-179 - [c29]Anmol Kapoor, Shreya Kapoor, Kamal Upreti, Prashant Singh, Seema Kapoor, Mohammad Shabbir Alam, Mohammad Shahnawaz Nasir:
Cardiovascular Disease Prognosis and Analysis Using Machine Learning Techniques. ICACIS 2022: 180-194 - [c28]Namrata Singh, Meenakshi Srivastava, Sumit Mohan, Ashif Ali, Varun Kumar Singh, Prashant Singh:
Advance Collision Prevention System. ICACIS 2022: 369-383 - [c27]Yogendra Singh Rathore, Dhyanendra Jain, Prashant Singh, Waseem Ahmed, Amit Kumar Pandey:
Sign Language Recognizing Using Machine Learning. ICACIS 2022: 393-400 - [c26]Namrata Singh, Meenakshi Srivastava, Sumit Mohan, Ashif Ali, Varun Kumar Singh, Prashant Singh:
Self-driving Car: Lane Detection and Collision Prevention System. ICACIS 2022: 549-562 - [c25]Sumit Mohan, Varun Kumar Singh, Namrata Singh, Ashif Ali, Prashant Singh:
A Novel Machine Learning Classification Model to Analyze the COVID-19 Pandemic's Impact on Academics: Sentiment Analysis Approach. ICACIS 2022: 563-575 - [c24]Manvendra Verma, Kamal Upreti, Priyanka Dadhich, Soumi Ghosh, Vishal Khatri, Prashant Singh:
Prediction of Compressive Strength of Green Concrete by Artificial Neural Network. ICACIS 2022: 622-632 - [c23]Harikesh Singh, Prashant Singh, Mayank Singh, K. G. Harsha, P. Vinooth, Mukesh Raj:
IoT Enabled an Efficient Vehicle Parking System. ICACIS 2022: 649-658 - [c22]Kamal Upreti, Prashant Vats, Mustafizul Haque, Adheer A. Goyal, Sachin R. Wankhede, Prashant Singh, Mohammad Shabbir Alam, Mohammad Shahnawaz Nasir:
IoT-Based Control System to Measure, Analyze, and Track Basic Vital Indicators in Patient Healthcare Monitoring System. ICACIS 2022: 715-725 - [c21]Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh:
Robust and integrative Bayesian neural networks for likelihood-free parameter inference. IJCNN 2022: 1-10 - [i10]Omar Javed, Prashant Singh, Giles Reger, Salman Toor:
To test, or not to test: A proactive approach for deciding complete performance test initiation. CoRR abs/2205.14749 (2022) - 2021
- [j15]Prashant Singh, Maxim A. Dulebenets, Junayed Pasha, Ernesto Del R. Santibanez-Gonzalez, Yui-yip Lau, Raphael Kampmann:
Deployment of Autonomous Trains in Rail Transportation: Current Trends and Existing Challenges. IEEE Access 9: 91427-91461 (2021) - [j14]Junayed Pasha, Maxim A. Dulebenets, Amir Mohammad Fathollahi Fard, Guangdong Tian, Yui-yip Lau, Prashant Singh, Benbu Liang:
An integrated optimization method for tactical-level planning in liner shipping with heterogeneous ship fleet and environmental considerations. Adv. Eng. Informatics 48: 101299 (2021) - [j13]Prashant Singh, Fredrik Wrede, Andreas Hellander:
Scalable machine learning-assisted model exploration and inference using Sciope. Bioinform. 37(2): 279-281 (2021) - [j12]Richard M. Jiang, Bruno Jacob, Matthew Geiger, Sean Matthew, Bryan Rumsey, Prashant Singh, Fredrik Wrede, Tau-Mu Yi, Brian Drawert, Andreas Hellander, Linda R. Petzold:
Epidemiological modeling in StochSS Live! Bioinform. 37(17): 2787-2788 (2021) - [j11]Richard M. Jiang, Fredrik Wrede, Prashant Singh, Andreas Hellander, Linda R. Petzold:
Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators. BMC Bioinform. 22(1): 339 (2021) - [j10]Prashant Singh, J. S. Lather:
Design and stability analysis of a control system for a grid-independent direct current microgrid with hybrid energy storage system. Comput. Electr. Eng. 93: 107308 (2021) - [j9]Rahul Singh, Aayush Sharma, Prashant Singh, Ganesh Balasubramanian, Duane D. Johnson:
Accelerating computational modeling and design of high-entropy alloys. Nat. Comput. Sci. 1(1): 54-61 (2021) - [c20]Jayendra Kumar, Pratul Arvind, Prashant Singh, Yamini Sarada:
Introspecting Local Binary Feature Vectors for Classification of Radiographic Weld Images. CVIP (2) 2021: 262-272 - [c19]Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan Lavista Ferres:
Height Estimation of Children under Five Years using Depth Images. EMBC 2021: 3886-3889 - [c18]Li Ju, Prashant Singh, Salman Toor:
Proactive autoscaling for edge computing systems with kubernetes. UCC Companion 2021: 22:1-22:8 - [i9]Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh:
Robust and integrative Bayesian neural networks for likelihood-free parameter inference. CoRR abs/2102.06521 (2021) - [i8]Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan Lavista Ferres:
Height Estimation of Children under Five Years using Depth Images. CoRR abs/2105.01688 (2021) - [i7]Li Ju, Prashant Singh, Salman Toor:
Proactive Autoscaling for Edge Computing Systems with Kubernetes. CoRR abs/2112.10127 (2021) - 2020
- [j8]Prashant Singh, Breezy Unik, Anuradhika Puri, Gandharva Nagpal, Balvinder Singh, Ankur Gautam, Deepak Sharma:
HSPMdb: a computational repository of heat shock protein modulators. Database J. Biol. Databases Curation 2020: baaa003 (2020) - [i6]Mattias Åkesson, Prashant Singh, Fredrik Wrede, Andreas Hellander:
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation. CoRR abs/2001.11760 (2020) - [i5]Rahul Singh, Aayush Sharma, Prashant Singh, Ganesh Balasubramanian, Duane D. Johnson:
Accelerating computational modeling and design of high-entropy alloys. CoRR abs/2010.12107 (2020) - [i4]Prashant Singh, Mona Mohamed Elamin, Salman Toor:
Towards Smart e-Infrastructures, A Community Driven Approach Based on Real Datasets. CoRR abs/2012.09579 (2020)
2010 – 2019
- 2018
- [c17]Prashant Singh, Ekta Vats, Anders Hast:
Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing. DAS 2018: 67-72 - [c16]Prashant Singh:
A 19nW, near-threshold to I/O voltage level shifter in 28nm FD-SOI using 1.8V/28Å device for IoT Systems. ISCAS 2018: 1-4 - [c15]Hrishikesh Dewan, Ramesh C. Hansdah, Prashant Singh:
Sigma-Tree: Design of a Data Structure for Storing File Data Allocation Map in a Distributed File System. SmartCloud 2018: 90-98 - [c14]Igneta Dsouza, Hrishikesh Dewan, Prashant Singh, Ramesh C. Hansdah:
[WiP] HTU: An Efficient Hash-Trie Data Structure for URL Matching for Programmable Web Resources. SOCA 2018: 233-238 - [c13]Prashant Singh, Andreas Hellander:
Hyperparameter Optimization for Approximate Bayesian Computation. WSC 2018: 1718-1729 - [i3]Prashant Singh, Andreas Hellander:
Multi-Statistic Approximate Bayesian Computation with Multi-Armed Bandits. CoRR abs/1805.08647 (2018) - 2017
- [j7]Prashant Singh, Ivo Couckuyt, Khairy Elsayed, Dirk Deschrijver, Tom Dhaene:
Multi-objective Geometry Optimization of a Gas Cyclone Using Triple-Fidelity Co-Kriging Surrogate Models. J. Optim. Theory Appl. 175(1): 172-193 (2017) - [c12]Ekta Vats, Anders Hast, Prashant Singh:
Automatic Document Image Binarization using Bayesian Optimization. HIP@ICDAR 2017: 89-94 - [c11]Prashant Singh, Andreas Hellander:
Surrogate assisted model reduction for stochastic biochemical reaction networks. WSC 2017: 1773-1783 - [i2]Ekta Vats, Anders Hast, Prashant Singh:
Automatic Document Image Binarization. CoRR abs/1709.01782 (2017) - [i1]Prashant Singh, Ekta Vats, Anders Hast:
Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing. CoRR abs/1712.03738 (2017) - 2014
- [c10]Prashant Singh, Ivo Couckuyt, Francesco Ferranti, Tom Dhaene:
A constrained multi-objective surrogate-based optimization algorithm. IEEE Congress on Evolutionary Computation 2014: 3080-3087 - [c9]Prashant Singh, Francesco Ferranti, Dirk Deschrijver, Ivo Couckuyt, Tom Dhaene:
Classification aided domain reduction for high dimensional optimization. WSC 2014: 3928-3939 - 2013
- [c8]Prashant Singh, R. D. S. Yadava:
Quantitative Identification of Volatile Organics by SAW Sensor Transients - Comparative Performance Analysis of Fuzzy Inference and Partial-Least-Square-Regression Methods. FICTA 2013: 9-16 - [c7]Prashant Singh, Pooja Srivastava, Ram Mohan Verma, Saurabh Jaiswal:
Modeling of High Frequency Out-of-Plane Single Axis MEMS Capacitive Accelerometer. VDAT 2013: 249-256 - [c6]Prashant Singh, Dirk Deschrijver, Tom Dhaene:
A balanced sequential design strategy for global surrogate modeling. WSC 2013: 2172-2179 - 2012
- [j6]Mrutyunjaya Sahu, Prashant Singh, S. S. Mahapatra, K. K. Khatua:
Prediction of entrance length for low Reynolds number flow in pipe using neuro-fuzzy inference system. Expert Syst. Appl. 39(4): 4545-4557 (2012) - [j5]Prashant Singh, Eric Karl, David T. Blaauw, Dennis Sylvester:
Compact Degradation Sensors for Monitoring NBTI and Oxide Degradation. IEEE Trans. Very Large Scale Integr. Syst. 20(9): 1645-1655 (2012) - 2011
- [j4]Srinivasa R. Sridhara, Michael DiRenzo, Srinivas Lingam, Seok-Jun Lee, Ra Blazquez, Jay Maxey, Samer Ghanem, Yu-Hung Lee, Rami A. Abdallah, Prashant Singh, Manish Goel:
Microwatt Embedded Processor Platform for Medical System-on-Chip Applications. IEEE J. Solid State Circuits 46(4): 721-730 (2011) - [j3]Prashant Singh, Eric Karl, Dennis Sylvester, David T. Blaauw:
Dynamic NBTI Management Using a 45 nm Multi-Degradation Sensor. IEEE Trans. Circuits Syst. I Regul. Pap. 58-I(9): 2026-2037 (2011) - [c5]Prashant Singh, R. D. S. Yadava:
Wavelet Based Fuzzy Inference System for Simultaneous Identification and Quantitation of Volatile Organic Compounds Using SAW Sensor Transients. SEMCCO (2) 2011: 319-327 - 2010
- [c4]Prashant Singh, Eric Karl, Dennis Sylvester, David T. Blaauw:
Dynamic NBTI management using a 45nm multi-degradation sensor. CICC 2010: 1-4 - [c3]Prashant Singh, Zhiyoong Foo, Michael Wieckowski, Scott Hanson, Matthew Fojtik, David T. Blaauw, Dennis Sylvester:
Early detection of oxide breakdown through in situ degradation sensing. ISSCC 2010: 190-191
2000 – 2009
- 2009
- [j2]Prashant Singh, Cheng Zhuo, Eric Karl, David T. Blaauw, Dennis Sylvester:
Sensor-Driven Reliability and Wearout Management. IEEE Des. Test Comput. 26(6): 40-49 (2009) - 2008
- [j1]Prashant Singh, Jae-sun Seo, David T. Blaauw, Dennis Sylvester:
Self-Timed Regenerators for High-Speed and Low-Power On-Chip Global Interconnect. IEEE Trans. Very Large Scale Integr. Syst. 16(6): 673-677 (2008) - [c2]Eric Karl, Prashant Singh, David T. Blaauw, Dennis Sylvester:
Compact In-Situ Sensors for Monitoring Negative-Bias-Temperature-Instability Effect and Oxide Degradation. ISSCC 2008: 410-411 - 2007
- [c1]Jae-sun Seo, Prashant Singh, Dennis Sylvester, David T. Blaauw:
Self-Time Regenerators for High-Speed and Low-Power Interconnect. ISQED 2007: 621-626
Coauthor Index
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last updated on 2024-12-04 21:12 CET by the dblp team
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