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Publication search results
found 31 matches
- 2024
- Sanjay Thakur, Ranjit Kumar Barai:
Sliding mode control of a two-link flexible manipulator for reduced vibration in the presence of unmatched uncertainty and time-varying external disturbance. Int. J. Autom. Control. 18(2): 161-183 (2024) - 2023
- Sanjay Thakur, Lekh Raj Verma, Jitender Tiwari, Kokila Negi:
Perspectives and challenges of common service centres towards e-governance. Electron. Gov. an Int. J. 19(1): 112-122 (2023) - Saurabh Goyal, Sanjay Kumar Wadhwa, Divya Tripathi, Gaurav Agrawal, Krishna Thakur, Deependra Kumar Jain, Alvin Leng Sun Loke, Atul Kumar, Manish Kumar Upadhyay, Bhawna, Sanjoy Kumar Dey:
Design Challenges and Techniques for 5nm FinFET CMOS Analog/Mixed-Signal Circuits. VLSID 2023: 98-103 - 2022
- Swati Kiran Rajput, R. Umamageswari
, Rajesh Singh, Lalit Thakur, C. P. Sanjay, Maddikera Kalyan Chakravarthi
:
Understanding IoT Security: A Point-by-point Investigation of IoT Weaknesses and a First Exact Glance at Web Scale IoT Exploits. IC3I 2022: 1677-1683 - 2021
- Ganesh Singadkar, Abhishek Mahajan
, Meenakshi Thakur, Sanjay N. Talbar
:
Automatic lung segmentation for the inclusion of juxtapleural nodules and pulmonary vessels using curvature based border correction. J. King Saud Univ. Comput. Inf. Sci. 33(8): 975-987 (2021) - 2020
- Ujjwal Baid, Swapnil Rane
, Sanjay N. Talbar, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Abhishek Mahajan
:
Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning. Frontiers Comput. Neurosci. 14: 61 (2020) - Ujjwal Baid, Sanjay N. Talbar
, Swapnil Rane
, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Nilesh Sable, Mayuresh Akolkar, Abhishek Mahajan
:
A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas. Frontiers Comput. Neurosci. 14: 10 (2020) - Ganesh Singadkar
, Abhishek Mahajan
, Meenakshi Thakur, Sanjay N. Talbar
:
Deep Deconvolutional Residual Network Based Automatic Lung Nodule Segmentation. J. Digit. Imaging 33(3): 678-684 (2020) - Siddhesh P. Thakur, Jimit Doshi
, Sarthak Pati
, Saima Rathore, Chiharu Sako
, Michel Bilello, Sung Min Ha
, Gaurav Shukla, Adam E. Flanders, Aikaterini Kotrotsou
, Mikhail Milchenko
, Spencer Liem, Gregory S. Alexander, Joseph Lombardo, Joshua D. Palmer
, Pamela LaMontagne
, Arash Nazeri, Sanjay N. Talbar
, Spyridon Bakas
:
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training. NeuroImage 220: 117081 (2020) - Shweta Thakur, Dhaval K. Patel
, Brijesh Soni
, Mehul S. Raval
, Sanjay Chaudhary
:
Prediction for the Second Wave of COVID-19 in India. BDA 2020: 134-150 - 2019
- Praful Hambarde
, Sanjay N. Talbar
, Nilesh Sable, Abhishek Mahajan
, Satishkumar S. Chavan, Meenakshi Thakur:
Radiomics for peripheral zone and intra-prostatic urethra segmentation in MR imaging. Biomed. Signal Process. Control. 51: 19-29 (2019) - Kamla Prasan Ray
, Sanjay Singh Thakur
:
Modified Trident UWB Printed Monopole Antenna. Wirel. Pers. Commun. 109(3): 1689-1697 (2019) - Siddhesh P. Thakur, Jimit Doshi, Sarthak Pati
, Sung Min Ha
, Chiharu Sako, Sanjay N. Talbar
, Uday Kulkarni, Christos Davatzikos, Güray Erus, Spyridon Bakas
:
Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning. BrainLes@MICCAI (1) 2019: 57-68 - Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger:
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks. ICRA 2019: 768-774 - Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger:
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks. CoRR abs/1903.05697 (2019) - Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, Marcus A. Brubaker:
Time2Vec: Learning a Vector Representation of Time. CoRR abs/1907.05321 (2019) - Sanjay Thakur, Herke van Hoof, Gunshi Gupta, David Meger:
Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales. CoRR abs/1910.10367 (2019) - 2018
- Suhas G. Sapate
, Abhishek Mahajan
, Sanjay N. Talbar
, Nilesh Sable, Subhash Desai, Meenakshi Thakur:
Radiomics based detection and characterization of suspicious lesions on full field digital mammograms. Comput. Methods Programs Biomed. 163: 1-20 (2018) - Ujjwal Baid, Sanjay N. Talbar
, Swapnil Rane
, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Siddhesh Thakur, Abhishek Mahajan
:
Deep Learning Radiomics Algorithm for Gliomas (DRAG) Model: A Novel Approach Using 3D UNET Based Deep Convolutional Neural Network for Predicting Survival in Gliomas. BrainLes@MICCAI (2) 2018: 369-379 - 2017
- Satishkumar S. Chavan
, Abhishek Mahajan
, Sanjay N. Talbar
, Subhash Desai, Meenakshi Thakur, Anil D'cruz:
Nonsubsampled rotated complex wavelet transform (NSRCxWT) for medical image fusion related to clinical aspects in neurocysticercosis. Comput. Biol. Medicine 81: 64-78 (2017) - Chandrima Thakur, Sanjay Dhar Roy
:
Novel Interference Modelling in Multicellular D2D Network. ICIT 2017: 234-239 - 2016
- Chitra Anil Dhawale
, Sanjay Misra
, Sonika Thakur, Navin Dattatraya Jambhekar:
Analysis of nutritional deficiency in citrus species tree leaf using image processing. ICACCI 2016: 2248-2252 - 2013
- Julia Albath, Mayur Thakur, Sanjay Madria:
Energy constraint clustering algorithms for wireless sensor networks. Ad Hoc Networks 11(8): 2512-2525 (2013) - 2012
- Ashwini Rath, Sanjay Kumar, Sanjay Mohapatra, Rahul Thakurta:
Decision points for adoption cloud computing in small, medium enterprises (SMEs). ICITST 2012: 688-691 - 2011
- Jack J. Dongarra, Peter H. Beckman, Terry Moore, Patrick Aerts, Giovanni Aloisio
, Jean-Claude Andre, David Barkai, Jean-Yves Berthou, Taisuke Boku, Bertrand Braunschweig, Franck Cappello, Barbara M. Chapman, Xuebin Chi, Alok N. Choudhary, Sudip S. Dosanjh, Thom H. Dunning, Sandro Fiore
, Al Geist, Bill Gropp
, Robert J. Harrison
, Mark Hereld, Michael A. Heroux, Adolfy Hoisie, Koh Hotta, Zhong Jin, Yutaka Ishikawa, Fred Johnson, Sanjay Kale, Richard Kenway, David E. Keyes, Bill Kramer, Jesús Labarta
, Alain Lichnewsky, Thomas Lippert, Bob Lucas, Barney Maccabe
, Satoshi Matsuoka, Paul Messina, Peter Michielse, Bernd Mohr
, Matthias S. Müller
, Wolfgang E. Nagel, Hiroshi Nakashima, Michael E. Papka
, Daniel A. Reed, Mitsuhisa Sato, Edward Seidel, John Shalf
, David Skinner, Marc Snir, Thomas L. Sterling, Rick Stevens, Frederick H. Streitz
, Bob Sugar, Shinji Sumimoto, William M. Tang
, John A. Taylor, Rajeev Thakur
, Anne E. Trefethen, Mateo Valero
, Aad J. van der Steen, Jeffrey S. Vetter, Peg Williams, Robert W. Wisniewski, Katherine A. Yelick:
The International Exascale Software Project roadmap. Int. J. High Perform. Comput. Appl. 25(1): 3-60 (2011) - Neena A. Gilda, Sheetal Patil, V. Seena, Sanjay Joshi, Viral Thaker, Sanket Thakur, Amaravati Anvesha, Maryam Shojaei Baghini, Dinesh Kumar Sharma, V. Ramgopal Rao
:
Piezoresistive 6-MNA coated microcantilevers with signal conditioning circuits for electronic nose. A-SSCC 2011: 121-124 - Heeralal Gargama, Sanjay Kumar Chaturvedi
, Awalendra K. Thakur
:
Electromagnetic Interference Shielding Design Using Real-Coded Genetic Algorithm and Reliability Evaluation in X-Band. SocProS (2) 2011: 331-342 - 2010
- Julia Albath, Mayur Thakur, Sanjay Madria:
Energy Constrained Dominating Set for Clustering in Wireless Sensor Networks. AINA 2010: 812-819 - 2009
- Raghavendra V. Kulkarni
, Ganesh K. Venayagamoorthy
, Abhishek Thakur, Sanjay Kumar Madria:
Generalized neuron based secure media access control protocol for wireless sensor networks. MCDM 2009: 16-22 - 2007
- Sanjay Kumar Wadhwa, Deeya Muhury, Krishna Thakur:
Programmable Digital Frequency Multiplier. VLSI Design 2007: 925-928
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