| An intelligent/cognitive model of task scheduling for IoT applications in cloud computing environment S Basu, M Karuppiah, K Selvakumar, KC Li, SKH Islam, MM Hassan, ... Future Generation Computer Systems 88, 254-261, 2018 | 148 | 2018 |
| Improved genetic algorithm for monitoring of virtual machines in cloud environment S Basu, G Kannayaram, S Ramasubbareddy, C Venkatasubbaiah Smart Intelligent Computing and Applications: Proceedings of the Second …, 2019 | 71 | 2019 |
| A dynamic id-based generic framework for anonymous authentication scheme for roaming service in global mobility networks M Karuppiah, S Kumari, X Li, F Wu, AK Das, MK Khan, R Saravanan, ... Wireless Personal Communications 93, 383-407, 2017 | 65 | 2017 |
| Bio-Inspired Cryptosystem with DNA Cryptography and Neural Networks S Basu, M Karuppiah, M Nasipuri, AK Halder, N Radhakrishnan Journal of Systems Architecture, 2019 | 51 | 2019 |
| A secure lightweight authentication scheme with user anonymity for roaming service in ubiquitous networks M Karuppiah, S Kumari, AK Das, X Li, F Wu, S Basu Security and Communication Networks 9 (17), 4192-4209, 2016 | 50 | 2016 |
| Going by the numbers: Learning and modeling COVID-19 disease dynamics S Basu, RH Campbell Chaos, Solitons & Fractals 138, 110140, 2020 | 31 | 2020 |
| Classifying COVID-19 variants based on genetic sequences using deep learning models S Basu, RH Campbell System Dependability and Analytics: Approaching System Dependability from …, 2022 | 23 | 2022 |
| Modification of AES using Genetic Algorithms for High-Definition Image Encryption S Basu, K Marimuthu, S Rajkumar, R Niranchana International Journal of Intelligent Systems Technologies and Applications …, 2018 | 10 | 2018 |
| Microbiome Metabolome Integration Platform (MMIP): a web-based platform for microbiome and metabolome data integration and feature identification A Gautam, D Bhowmik, S Basu, W Zeng, A Lahiri, DH Huson, S Paul Briefings in Bioinformatics 24 (6), 2023 | 4 | 2023 |
| Detection of Novel COVID-19 Variants with Zero-Shot Learning S Basu, RH Campbell, K Karahalios 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI …, 2023 | 4 | 2023 |
| A study of the dynamics and genetics of COVID-19 through machine learning S Basu University of Illinois at Urbana-Champaign, 2020 | 4 | 2020 |
| Cubenet: Multi-facet hierarchical heterogeneous network construction, analysis, and mining C Yang, D Teng, S Liu, S Basu, J Zhang, J Shen, C Zhang, J Shang, ... arXiv preprint arXiv:1910.01451, 2019 | 4 | 2019 |
| Cloud Computing and Big Data for Genomics: A Review. S Basu, R Sathyaraj International Journal of Advanced Research in Computer Science 8 (3), 2017 | 2 | 2017 |
| Machine Learning and Visualizations for Time-Series Healthcare Data S Basu 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI …, 2023 | 1 | 2023 |
| A deep learning approach to identify seizure-prone and normal patients from their EEG records S Basu, RH Campbell medRxiv, 2022.06. 15.22276461, 2022 | 1 | 2022 |
| Identifying New COVID-19 Variants from Spike Proteins Using Novelty Detection S Basu, RH Campbell MEDINFO 2021: One World, One Health–Global Partnership for Digital …, 2022 | 1 | 2022 |
| Epilepsy Detecting and Halting Mechanism Using Wireless Sensor Networks S Basu, S Ananda Kumar, S Bhuvana Electronics 22 (1), 34-39, 2018 | 1 | 2018 |
| Whole-brain functional photoacoustic/ultrasound localization (PAUL) imaging for monitoring blood-brain barrier modulation YS Chen, S Zhao, S Basu, J Shi, K Song, P Siripun, H Huynh, Y Zhao, ... | | 2024 |
| Hybrid photoacoustic imaging and fast ultrasound localization microscopy to probe the tumor microenvironment S Zhao, S Basu, RH Campbell, Y Zhao, YS Chen Cancer Research 84 (6_Supplement), 4164-4164, 2024 | | 2024 |
| Fostering communication between parents and clinicians using behavioral visualizations of children with autism S Basu, B Sleiman, K Terol, C Yoon, MRM Loya, J Li, A Atcheson, ... AMIA 2024 Informatics Summit Presentations, 2024 | | 2024 |
