Rajesh Singh

47 papers A* 1Journal 39Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Design of an Iterative Model for Lumpy Skin Disease Prediction Using Fine-grained Feature Fusion and Adaptive Transfer Learning.
SN Comput. Sci.
Sandeep Sharma, Kapil Joshi, Rajesh Singh
2026 J jnl
FT-BERT-GAN: an enhanced Feature-Type-Aware BERT (FT-BERT) with GAN for privacy-preserving synthetic text generation.
Int. J. Data Sci. Anal.
Raman Kumar, S. Narayanasamy, Chappidi Sreenivasa Rao, Vimal Parmar, Gadug Sudhamsu, Murari Devakannan Kamalesh, Sarbeswara Hota, Vikas Wasson, Rajesh Singh, Sanchi Kaushik
2026 J jnl
Identification of high-risk genes and classification of acute myocardial infarction patients utilizing deep learning in a restricted cohort.
Comput. Biol. Medicine
Krish Chaudhary, Narendra N. Khanna, Pankaj Kumar Jain, Rajesh Singh, Laura E. Mantella, Amer M. Johri, Gavino Faa, Mohamed Abbas, John R. Laird, Mustafa Al-Maini, Esma R. Isenovic, Luca Saba, Jasjit S. Suri
2026 J jnl
Intelligent Energy-Aware Routing for Next-Generation Wireless Sensor Networks.
Internet Technol. Lett.
Jalawi Alshudukhi, Gaganjot Kaur, B. Ankayarkanni, J. Gowrishankar, Sarbeswara Hota, Rajesh Singh
2025 J jnl
An Extensive Review on Lung Cancer Detection Models.
Int. J. Image Graph.
Rajesh Singh
2025 J jnl
Artificial intelligence-based multiclass diabetes risk stratification for big data embedded with explainability: From machine learning to attention models.
Biomed. Signal Process. Control.
Ekta Tiwari, Siddharth Gupta, Anudeep Pavulla, Mustafa Al-Maini, Rajesh Singh, Esma R. Isenovic, Sumit Chaudhary, John L. Laird, Laura E. Mantella, Amer M. Johri, Luca Saba, Jasjit S. Suri
2025 J jnl
Attention-based hybrid deep learning models and its scientific validation for cardiovascular disease risk stratification.
Biomed. Signal Process. Control.
Mrinalini Bhagawati, Siddharth Gupta, Sudip Paul, Laura E. Mantella, Amer M. Johri, John R. Laird, Ekta Tiwari, Narendra N. Khanna, Andrew Nicolaides, Rajesh Singh, Mustafa Al-Maini, Luca Saba, Jasjit S. Suri
2025 J jnl
Integrating AI/ML and multi-omics approaches to investigate the role of TNFRSF10A/TRAILR1 and its potential targets in pancreatic cancer.
Comput. Biol. Medicine
Sudhanshu Sharma, Rajesh Singh, Shiva Kant, Manoj K. Mishra
2025 J jnl
Navigating the artificial intelligence revolution in neuro-oncology: A multidisciplinary viewpoint.
Neurocomputing
Sanjay Saxena, Soumyaranjan Panda, Ekta Tiwari, Rajesh Singh, Mostafa M. Fouda, Mannudeep K. Kalra, Ketan Kotecha, Luca Saba, Jasjit S. Suri
2025 A* conf
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training.
CVPR
Jierun Chen, Dongting Hu, Xijie Huang, Huseyin Coskun, Arpit Sahni, Aarush Gupta, Anujraaj Goyal, Dishani Lahiri, Rajesh Singh, Yerlan Idelbayev, Junli Cao, Yanyu Li, Kwang-Ting Cheng, S.-H. Gary Chan, Mingming Gong, Sergey Tulyakov, Anil Kag, Yanwu Xu, Jian Ren
2025 J jnl
StockAI 3.0: Ensemble fusion paradigms using novel gating mechanism in long short-term memory architectures for forecasting sentiment-based stock trends.
Soft Comput.
Yuvraj Sharma, Siddharth Gupta, Neha Gupta, Ekta Tiwari, Rajesh Singh, Narendra N. Khanna, Mustafa Al-Maini, Vijay S. Rathore, Puneet Ahluwalia, Vandana Kumari, D. Subbaram Naidu, Luca Saba, Jasjit S. Suri
2024 J jnl
A Generalized and Robust Nonlinear Approach based on Machine Learning for Intrusion Detection.
Appl. Artif. Intell.
Jakiur Rahman, Jaskaran Singh, Soumen Nayak, Biswajit Jena, Lopamudra Mohanty, Narpinder Singh, John R. Laird, Rajesh Singh, Deepak Garg, Narendra N. Khanna, Mostafa M. Fouda, Luca Saba, Jasjit S. Suri
2024 J jnl
Blockchain, artificial intelligence, and healthcare: the tripod of future - a narrative review.
Artif. Intell. Rev.
Archana Bathula, Suneet K. Gupta, Suresh Merugu, Luca Saba, Narendra N. Khanna, John R. Laird, Siva Skandha Sanagala, Rajesh Singh, Deepak Garg, Mostafa M. Fouda, Jasjit S. Suri
2024 J jnl
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography.
Frontiers Artif. Intell.
Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, Gian Luca Chabert, Gobinath Ravindran, Sudip Paul, John R. Laird, Deepak Garg, Mostafa Fatemi, Lopamudra Mohanty, Arun Kumar Dubey, Rajesh Singh, Mostafa M. Fouda, Narpinder Singh, Subbaram Naidu, Klaudija Viskovic, Melita Kukuljan, Manudeep K. Kalra, Luca Saba, Jasjit S. Suri
2024 J jnl
Efficient Sleep Stage Identification Using Piecewise Linear EEG Signal Reduction: A Novel Algorithm for Sleep Disorder Diagnosis.
Sensors
Yash Paul, Rajesh Singh, Surbhi Sharma, Saurabh Singh, In-Ho Ra
2024 J jnl
Entry under placement uncertainty.
Games Econ. Behav.
Sunanda Roy, Rajesh Singh, Quinn Weninger
2024 J jnl
Multi-Class Skin Cancer Detection Using Fusion of Textural Features Based CAD Tool.
Comput. Mater. Continua
Khushmeen Kaur Brar, Bhawna Goyal, Ayush Dogra, Sampangi Rama Reddy, Ahmed Alkhayyat, Rajesh Singh, Manob Jyoti Saikia
2024 J jnl
MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment.
Comput. Medical Imaging Graph.
Mainak Biswas, Luca Saba, Mannudeep K. Kalra, Rajesh Singh, José Fernandes e Fernandes, Vijay Viswanathan, John R. Laird, Laura E. Mantella, Amer M. Johri, Mostafa M. Fouda, Jasjit S. Suri
2024 J jnl
New Modification of Ranked Set Sampling for Estimating Population Mean: Neutrosophic Median Ranked Set Sampling with an Application to Demographic Data.
Int. J. Comput. Intell. Syst.
Anamika Kumari, Rajesh Singh, Florentin Smarandache
2024 J jnl
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training.
CoRR
Dongting Hu, Jierun Chen, Xijie Huang, Huseyin Coskun, Arpit Sahni, Aarush Gupta, Anujraaj Goyal, Dishani Lahiri, Rajesh Singh, Yerlan Idelbayev, Junli Cao, Yanyu Li, Kwang-Ting Cheng, S.-H. Gary Chan, Mingming Gong, Sergey Tulyakov, Anil Kag, Yanwu Xu, Jian Ren
2023 J jnl
New regression-type compromised imputation class of estimators with known parameters of auxiliary variable.
Commun. Stat. Simul. Comput.
Ahmed Audu, Rajesh Singh, Supriya Khare
2022 — conf
Design & Development of Deep Learning Algorithm with Convolutional Neural Networks for Breast Cancer Classification.
WPMC
Rajesh Singh, Ragini Mishra
2022 J jnl
The good, the bad, and the notable: COVID-19 information experiences.
Inf. Res.
Rajesh Singh
2022 — conf
To Identify Malware Using Machine Learning Algorithms.
COMS2
Shivam Pujari, Hardwari Lal Mandoria, R. P. Shrivastava, Rajesh Singh
2021 — conf
Beyond Cultural Literacy: Building Introspective Information Professionals.
ECIL
Rajesh Singh
2021 J jnl
From protests to practice: Confronting systemic racism in LIS.
Educ. Inf.
Renate L. Chancellor, Paige DeLoach, Anthony W. Dunbar, Shari Lee, Rajesh Singh
2021 J jnl
Leveraging social justice pedagogy to counter racism: Conceptualizing an Advanced Certificate in Social Justice for Information Professionals.
Educ. Inf.
Rajesh Singh, Kevin S. Rioux
2021 J jnl
Research output of Indian universities in sciences (2015-2019): a scientometric analysis.
Libr. Hi Tech
Avijit Mahala, Rajesh Singh
2020 J jnl
A note on the estimators for coefficient of dispersion using auxiliary information.
Commun. Stat. Simul. Comput.
Rajesh Singh, Gautam Kumar Vishwakarma, Prabhakar Mishra
2020 J jnl
Community Connections: Advocating for Libraries through Effective Brand Advocacy.
Public Libr. Q.
Rajesh Singh, Gabriella G. Trinchetta
2020 J jnl
PyStokes: phoresis and Stokesian hydrodynamics in Python.
J. Open Source Softw.
Rajesh Singh, Ronojoy Adhikari
2019 — conf
A Novel Voice Signaling Protocol for Tactical Broadcast Voice Communication in Mobile Ad Hoc Network.
ICCCNT
Neeraj Kumar Patel, Payal Saxena, Rajesh Singh, Satyendra Kumar
2019 J jnl
Development of novel methods to predict the strength properties of thermally treated sandstone using statistical and soft-computing approach.
Neural Comput. Appl.
Nikhil Ninad Sirdesai, Alok Singh, Lakshmi Kant Sharma, Rajesh Singh, T. N. Singh
2018 — conf
Impact of Intrinsic Motivators on Knowledge Sharing in Virtual Environments: Implications for Workplace Information Literacy and Collaborative Practices.
ECIL
Rajesh Singh
2017 J jnl
Evaluating the modulus of elasticity of soil using soft computing system.
Eng. Comput.
L. K. Sharma, Rajesh Singh, R. K. Umrao, K. M. Sharma, T. N. Singh
2017 — conf
Navigating the next step: An interactive panel for doctoral students.
ASIST
Liz Hartnett, Rajesh Singh, Hassan Zamir
2015 J jnl
Estimation of population mean using information on auxiliary attribute in two-phase sampling.
Appl. Math. Comput.
Sachin Malik, Rajesh Singh
2015 — conf
Standing out in the academic LIS job market: An interactive panel for doctoral students.
ASIST
Rajesh Singh, Karen A. Miller
2014 J jnl
Compact Planar Monopole Antenna with Dual Band Notched Characteristics Using T-Shaped Stub and Rectangular Mushroom Type Electromagnetic Band Gap Structure for UWB and Bluetooth Applications.
Wirel. Pers. Commun.
Rajesh Singh, Gaurav Kumar Pandey, Mayank Agarwal, Hari Shankar Singh, Pradutt Kumar Bharti, Manoj Kumar Meshram
2014 J jnl
Improved estimation of population variance using information on auxiliary attribute in simple random sampling.
Appl. Math. Comput.
Rajesh Singh, Sachin Malik
2013 J jnl
A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks.
Neural Comput. Appl.
Rajesh Singh, V. Vishal, T. N. Singh, P. G. Ranjith
2013 J jnl
An improved estimator using two auxiliary attributes.
Appl. Math. Comput.
Sachin Malik, Rajesh Singh
2013 J jnl
Collaboration in the Cloud: Role of Interaction and Online Collaborative Tools in Enhancing Knowledge Creation in Virtual Environments.
J. Inf. Knowl. Manag.
Rajesh Singh
2012 J jnl
Estimation of elastic constant of rocks using an ANFIS approach.
Appl. Soft Comput.
Rajesh Singh, Ashutosh Kainthola, T. N. Singh
2009 J jnl
Bayes estimators of parameters of Poisson type exponential class software model considering generalized Poisson and gamma priors.
Model. Assist. Stat. Appl.
Rajesh Singh, A. A. Vidhale, Mark Carpenter
2006 J jnl
Computational Modeling in Applied Problems: collected papers on econometrics, operations research, game theory and simulation
CoRR
Florentin Smarandache, Sukanto Bhattacharya, Mohammad Khoshnevisan, Housila P. Singh, Rajesh Singh, F. Kaymram, S. Malakar, Jose L. Salmeron
2004 J jnl
Branding in library and information context: the role of marketing culture.
Inf. Serv. Use
Rajesh Singh