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Gurjit S. Randhawa
Gurjit S. Randhawa
Assistant Professor, School of Computer Science, University of Guelph
Bestätigte E-Mail-Adresse bei uoguelph.ca
Titel
Zitiert von
Zitiert von
Jahr
Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study
GS Randhawa, MPM Soltysiak, H El Roz, CPE de Souza, KA Hill, L Kari
Plos one 15 (4), e0232391, 2020
4762020
ML-DSP: Machine Learning with Digital Signal Processing for ultrafast, accurate, and scalable genome classification at all taxonomic levels
GS Randhawa, KA Hill, L Kari
BMC genomics 20, 1-21, 2019
702019
MLDSP-GUI: an alignment-free standalone tool with an interactive graphical user interface for DNA sequence comparison and analysis
GS Randhawa, KA Hill, L Kari
Bioinformatics 36 (7), 2258-2259, 2020
362020
Environment and taxonomy shape the genomic signature of prokaryotic extremophiles
PM Arias, J Butler, GS Randhawa, MPM Soltysiak, KA Hill, L Kari
Scientific Reports 13 (1), 16105, 2023
72023
Cost Optimization of Pipeline Systems using Genetic Algorithm
P Sharma, GSR Shelza, RS Virk
International Journal of Computer Engineering & Technology (IJCET) 4 (4 …, 2013
42013
An inclusive approach to crop soil moisture estimation: Leveraging satellite thermal infrared bands and vegetation indices on Google Earth engine
F Imtiaz, AA Farooque, GS Randhawa, X Wang, TJ Esau, B Acharya, ...
Agricultural Water Management 306, 109172, 2024
32024
The potential of biochar incorporation into agricultural soils to promote sustainable agriculture: Insights from soil health, crop productivity, greenhouse gas emission …
MS Ullah, R Malekian, GS Randhawa, YS Gill, S Singh, TJ Esau, ...
Reviews in Environmental Science and Bio/Technology, 1-26, 2024
32024
Efficacy of Genetic Algorithms in Staging Cervical Cancer
SRP Singh, GS Randhawa, RS Virk
International journal of cancer research 47 (2), 1164, 2013
32013
Machine Learning with Digital Signal Processing for Rapid and Accurate Alignment-Free Genome Analysis: From Methodological Design to a Covid-19 Case Study
GS Randhawa
The University of Western Ontario (Canada), 2020
12020
Evaluation of deep learning models for RGB image-based detection of potato virus y strain symptoms (O, NO, and NTN) in potato plants
C Singh, GS Randhawa, AA Farooque, YS Gill, LK KM, M Singh, ...
Smart Agricultural Technology 10, 100755, 2025
2025
Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review
A Kaur, GS Randhawa, F Abbas, M Ali, TJ Esau, AA Farooque, R Singh
IEEE Access, 2024
2024
Monitoring of greenhouse gas emission drivers in Atlantic Canadian Potato production: A robust explainable intelligent glass-box
M Jamei, M Hassan, AA Faroouqe, M Ali, M Karbasi, GS Randhawa, ...
Results in Engineering 24, 103297, 2024
2024
Innovative multi-temporal evapotranspiration forecasting using empirical fourier decomposition and bidirectional long short-term memory
M Karbasi, M Ali, GS Randhawa, M Jamei, A Malik, SHH Shah, M Bos, ...
Smart Agricultural Technology 9, 100619, 2024
2024
Heaps' Law in GPT-Neo Large Language Model Emulated Corpora
U Lai, GS Randhawa, P Sheridan
arXiv preprint arXiv:2311.06377, 2023
2023
Mutational Patterns Observed in SARS-CoV-2 Genomes Sampled From Successive Epochs Delimited by Major Public Health Events in Ontario, Canada: Genomic Surveillance Study
D Chen, GS Randhawa, MPM Soltysiak, CPE de Souza, L Kari, SM Singh, ...
JMIR Bioinformatics and Biotechnology 3 (1), e42243, 2022
2022
SomaticSiMu: a mutational signature simulator
D Chen, GS Randhawa, MPM Soltysiak, CPE de Souza, L Kari, SM Singh, ...
Bioinformatics 38 (9), 2619-2620, 2022
2022
Investigating Genomic and Mutational Signatures of Organisms Living in Extreme Environments.
MPM Soltysiak, GS Randhawa, A Osman, CPE de Souza, KA Hill, L Kari
ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 61, 90-91, 2020
2020
SomaticSiMu: A Mutational Signature Simulator for Benchmarking Alignment-free Machine Learning Classification of Genomic Signatures.
D Chen, GS Randhawa, MPM Soltysiak, L Kara, KA Hill
ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 61, 42-43, 2020
2020
Alignment-free genome analysis of SARS-CoV-2 using Machine learning.
GS Randhawa, MPM Soltysiak, HEL Roz, CPE de Souza, KA Hill, L Kari
ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 61, 55-55, 2020
2020
Machine Learning Applied to Mouse Genotypes Accurately Classifies Genetic Background: Relevance to Human Genotype Classification for Detection of Environmental Mutagen Exposures.
HA Pavanel, GS Randhawa, NA Boehler, RD Kelly, TA Miller, ...
ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 61, 38-39, 2020
2020
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