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ORCIDRakesh Ranjan
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j17]Rakesh Ranjan, Kata Sharrer, Scott Tsukuda, Christopher Good:
Effects of image data quality on a convolutional neural network trained in-tank fish detection model for recirculating aquaculture systems. Comput. Electron. Agric. 205: 107644 (2023)- [c21]Xiaoyu Xiang, Jon Morton, Fitsum A. Reda, Lucas D. Young, Federico Perazzi, Rakesh Ranjan, Amit Kumar, Andrea Colaco, Jan P. Allebach:
HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars. WACV 2023: 1694-1704 - [i11]Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration. CoRR abs/2303.00748 (2023) - 2022
- [j16]Amit Kumar Singh
, Rakesh Ranjan:
Multi-slot-based dynamic clustering in cognitive radio network. Int. J. Commun. Syst. 35(16) (2022) - [j15]Rakesh Ranjan, Hari Shankar Prasad:
A novel exponentially fitted finite difference method for a class of 2nd order singularly perturbed boundary value problems with a simple turning point exhibiting twin boundary layers. J. Ambient Intell. Humaniz. Comput. 13(9): 4207-4221 (2022) - [j14]Ashwani Kumar, Vishnu Mohan Mishra, Rakesh Ranjan:
An improved control strategy using TCSC with grey wolf-optimized DSTATCOM for efficient LVRT of DFIG-based WECS. Simul. 98(11): 979-990 (2022) - [j13]Rakesh Ranjan, Bikash Chandra Sahana, Ashish Kumar Bhandari:
Motion Artifacts Suppression From EEG Signals Using an Adaptive Signal Denoising Method. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j12]Rakesh Ranjan, Bikash Chandra Sahana, Ashish Kumar Bhandari:
Cardiac Artifact Noise Removal From Sleep EEG Signals Using Hybrid Denoising Model. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j11]Amit Kumar Singh, Rakesh Ranjan:
Multi-Layer Perceptron Based Spectrum Prediction in Cognitive Radio Network. Wirel. Pers. Commun. 123(4): 3539-3553 (2022) - [c20]Prithviraj Dhar, Amit Kumar, Kirsten Kaplan, Khushi Gupta, Rakesh Ranjan, Rama Chellappa:
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images. CVPR 2022: 20186-20195 - [c19]Xiaoyu Xiang, Yapeng Tian, Vijay Rengarajan, Lucas D. Young, Bo Zhu, Rakesh Ranjan:
Learning Spatio-Temporal Downsampling for Effective Video Upscaling. ECCV (18) 2022: 162-181 - [c18]Yinghong Zhao, Ki-Don Lee, Manisha Sharma, Joonah Yoon, Rakesh Ranjan, Md Iqbal Mahmud, Caleb Dongkyan Kwon, Myungsoo Yeo:
Polarity Dependence and Metal Density Impact on Multi-Layer Inter-Level TDDB for High Voltage Application. IRPS 2022: 1-4 - [c17]Md Iqbal Mahmud, Rakesh Ranjan, Ki-Don Lee, Pavitra Ramadevi Perepa, Caleb Dongkyun Kwon, Seungjin Choo, Kihyun Choi:
Reverse Body Bias Dependence of HCI Reliability in Advanced FinFET. IRPS 2022: 58-1 - [c16]Rakesh Ranjan, Neeti, Bikash Chandra Sahana:
Automatic Detection of Mental Health Status using Alpha Subband of EEG Data. MeMeA 2022: 1-6 - [c15]Lucas D. Young, Fitsum A. Reda, Rakesh Ranjan, Jon Morton, Jun Hu, Yazhu Ling, Xiaoyu Xiang, David Liu, Vikas Chandra:
Feature-Align Network with Knowledge Distillation for Efficient Denoising. WACV (Workshops) 2022: 709-718 - [i10]Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool:
VRT: A Video Restoration Transformer. CoRR abs/2201.12288 (2022) - [i9]Xiaoyu Xiang, Yapeng Tian, Vijay Rengarajan, Lucas D. Young, Bo Zhu, Rakesh Ranjan:
Learning Spatio-Temporal Downsampling for Effective Video Upscaling. CoRR abs/2203.08140 (2022) - [i8]Xiaoyu Xiang, Jon Morton, Fitsum A. Reda, Lucas D. Young, Federico Perazzi, Rakesh Ranjan, Amit Kumar, Andrea Colaco, Jan P. Allebach:
HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars. CoRR abs/2203.14863 (2022) - [i7]Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool:
Recurrent Video Restoration Transformer with Guided Deformable Attention. CoRR abs/2206.02146 (2022) - [i6]Zhanghao Sun, Wei Ye, Jinhui Xiong, Gyeongmin Choe, Jialiang Wang, Shuochen Su, Rakesh Ranjan:
Consistent Direct Time-of-Flight Video Depth Super-Resolution. CoRR abs/2211.08658 (2022) - [i5]Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu:
Fast Point Cloud Generation with Straight Flows. CoRR abs/2212.01747 (2022) - [i4]Gyeongmin Choe, Beibei Du, Seonghyeon Nam, Xiaoyu Xiang, Bo Zhu, Rakesh Ranjan:
FSID: Fully Synthetic Image Denoising via Procedural Scene Generation. CoRR abs/2212.03961 (2022) - 2021
- [j10]Rakesh Ranjan, Rijji Sen, Satyanshu K. Upadhyay:
Bayes analysis of some important lifetime models using MCMC based approaches when the observations are left truncated and right censored. Reliab. Eng. Syst. Saf. 214: 107747 (2021) - [j9]Rajasoundaran Soundararajan, Sripathi Venkata Naga Santhosh Kumar, Munuswamy Selvi, Sannasi Ganapathy, Rakesh Ranjan, Arputharaj Kannan:
Machine learning based volatile block chain construction for secure routing in decentralized military sensor networks. Wirel. Networks 27(7): 4513-4534 (2021) - [c14]Rakesh Ranjan, Ki-Don Lee, Md Iqbal Mahmud, Mohammad Shahriar Rahman, Pavitra Ramadevi Perepa, Charles Briscoe LaRow, Caleb Dongkyun Kwon, Maihan Nguyen, Minhyo Kang, Ashish Kumar Jha, Ahmed Shariq, Shamas Musthafa Ummer, Susannah Laure Prater, Hyunchul Sagong, HwaSung Rhee:
Systematic Study of Process Impact on FinFET Reliability. IRPS 2021: 1-5 - [c13]Sachin Mehta, Amit Kumar, Fitsum A. Reda, Varun Nasery, Vikram Mulukutla, Rakesh Ranjan, Vikas Chandra:
EVRNet: Efficient Video Restoration on Edge Devices. ACM Multimedia 2021: 983-992 - [i3]Lucas D. Young, Fitsum A. Reda, Rakesh Ranjan, Jon Morton, Jun Hu, Yazhu Ling, Xiaoyu Xiang, David Liu, Vikas Chandra:
Feature-Align Network and Knowledge Distillation for Efficient Denoising. CoRR abs/2103.01524 (2021) - [i2]Prithviraj Dhar, Amit Kumar, Kirsten Kaplan, Khushi Gupta, Rakesh Ranjan, Rama Chellappa:
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images. CoRR abs/2112.11610 (2021) - 2020
- [j8]Rakesh Ranjan, Lav R. Khot, R. Troy Peters, Melba R. Salazar-Gutierrez, Guobin Shi:
In-field crop physiology sensing aided real-time apple fruit surface temperature monitoring for sunburn prediction. Comput. Electron. Agric. 175: 105558 (2020) - [j7]Bin Wang, Rakesh Ranjan, Lav R. Khot, R. Troy Peters:
Smartphone Application-Enabled Apple Fruit Surface Temperature Monitoring Tool for In-Field and Real-Time Sunburn Susceptibility Prediction. Sensors 20(3): 608 (2020) - [c12]Rakesh Ranjan, Charles B. LaRow, Ki-Don Lee, Minhyo Kang, Pavitra R. Perepa, Md. Shahriar Rahman, Bong Ki Lee, David Moreau, Carolyn Cariss-Daniels, Timothy Basford, Colby Callahan, Maihan Nguyen, Gil Heyun Choi, Hyunchul Sagong, HwaSung Rhee:
Trap Density Modulation for IO FinFET NBTI Improvement. IRPS 2020: 1-5 - [c11]Taiki Uemura, Byungjin Chung, Jeongmin Jo, Hai Jiang, Yongsung Ji, Tae-Young Jeong, Rakesh Ranjan, Seungbae Lee, Hwasung Rhee, Sangwoo Pae, Euncheol Lee, Jaehee Choi, Shota Ohnishi, Ken Machida:
Backside Alpha-Irradiation Test in Flip-Chip Package in EUV 7 nm FinFET SRAM. IRPS 2020: 1-4 - [c10]Taiki Uemura, Byungjin Chung, Jeongmin Jo, Hai Jiang, Yongsung Ji, Tae-Young Jeong, Rakesh Ranjan, Youngin Park, Kiil Hong, Seungbae Lee, Hwasung Rhee, Sangwoo Pae, Euncheol Lee, Jaehee Choi, Shota Ohnishi, Ken Machida:
Investigating of SER in 28 nm FDSOI-Planar and Comparing with SER in Bulk-FinFET. IRPS 2020: 1-5 - [i1]Sachin Mehta, Amit Kumar, Fitsum A. Reda, Varun Nasery, Vikram Mulukutla, Rakesh Ranjan, Vikas Chandra:
EVRNet: Efficient Video Restoration on Edge Devices. CoRR abs/2012.02228 (2020)
2010 – 2019
- 2019
- [j6]Rakesh Ranjan, Vastoshpati Shastri:
Posterior and predictive inferences for Marshall Olkin bivariate Weibull distribution via Markov chain Monte Carlo methods. Int. J. Syst. Assur. Eng. Manag. 10(6): 1535-1543 (2019) - [c9]Rakesh Ranjan, Bikash Chandra Sahana:
An Efficient Facial Feature Extraction Method Based Supervised Classification Model for Human Facial Emotion Identification. ISSPIT 2019: 1-6 - [c8]Umar Farooque, Dharmendra Kumar Singh, Rakesh Ranjan:
Dispersion Behavior of Fundamental Supermodes in Homogeneous Strongly Coupled Multicore Optical Fibers for Different Core Counts and Layouts. TENCON 2019: 1186-1190 - 2018
- [j5]Rakesh Ranjan, Rajeev Arya, Steven Lawrence Fernandes, Erukonda Sravya, Vinay Jain:
A fuzzy neural network approach for automatic K-complex detection in sleep EEG signal. Pattern Recognit. Lett. 115: 74-83 (2018) - [c7]P. Srinivasan, Rakesh Ranjan, S. Cimino, A. Zainuddin, B. Kannan, L. Pantisano, I. Mahmud, G. Dilliway, Tanya Nigam:
Understanding gate metal work function (mWF) impact on device reliability - A holistic approach. IRPS 2018: 6 - 2017
- [j4]Rijji Sen, Rakesh Ranjan, Satyanshu K. Upadhyay:
A simple Bayes analysis of Weibull Based Accelerated Test model. Int. J. Syst. Assur. Eng. Manag. 8(1s): 505-511 (2017) - [j3]Rakesh Ranjan, Debjani Mitra:
GA Optimized HMM Error Model for OFDM. Wirel. Pers. Commun. 96(1): 621-633 (2017) - [c6]Tanya Nigam, Andreas Kerber, Tian Shen, Rakesh Ranjan, Linjun Cao:
Material and device innovation impact on reliability for scaled CMOS technologies. ESSDERC 2017: 134-139 - 2016
- [j2]Rakesh Ranjan, Satyanshu K. Upadhyay:
Classical and Bayesian Estimation for the Parameters of a Competing Risk Model Based on Minimum of Exponential and Gamma Failures. IEEE Trans. Reliab. 65(3): 1522-1535 (2016) - [c5]Nishchal K. Verma, Teena Sharma, Shreedharkumar D. Rajurkar, Rakesh Ranjan, Al Salour:
Vision based counting of texture-less objects using shape and color features. ICIIS 2016: 253-258 - 2015
- [j1]Rakesh Ranjan, Sonam Singh, Satyanshu K. Upadhyay:
A Bayes analysis of a competing risk model based on gamma and exponential failures. Reliab. Eng. Syst. Saf. 144: 35-44 (2015) - [c4]Yoann Mamy Randriamihaja, William McMahon, S. Balasubramanian, Tanya Nigam, Biju Parameshwaran, Randy W. Mann, Torsten Klick, T. Schaefer, A. Kumar, Y. Song, Vivek Joshi, Rakesh Ranjan, F. Chen:
Assessing intrinsic and extrinsic end-of-life risk using functional SRAM wafer level testing. IRPS 2015: 6 - [c3]Akshat Verma, Sharat Singh, Shubham Srivastava, Sunil Kumar, Rakesh Ranjan, Zafar Ansari:
DynaCorrect: Dynamically Correcting Cache for Non-cooperative Systems. Middleware Industry 2015: 3:1-3:7 - 2011
- [c2]Rakesh Ranjan, Fernando Latorre, Pedro Marcuello, Antonio González:
Fg-STP: Fine-Grain Single Thread Partitioning on Multicores. HPCA 2011: 15-24
2000 – 2009
- 2009
- [c1]Rakesh Ranjan, Pedro Marcuello, Fernando Latorre, Antonio González:
P-slice based efficient speculative multithreading. HiPC 2009: 119-128
Coauthor Index
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last updated on 2023-03-17 21:00 CET by the dblp team
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