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Arbind Agrahari Baniya, PhD
Arbind Agrahari Baniya, PhD
Researcher, Agriculture Victoria Research || Sessional Academic, Deakin University
Verified email at agriculture.vic.gov.au - Homepage
Title
Cited by
Cited by
Year
IRRISENS: an IoT platform based on microservices applied in commercial-scale crops working in a multi-cloud environment
R Filev Maia, C Ballester Lurbe, A Agrahari Baniya, J Hornbuckle
Sensors 20 (24), 7163, 2020
182020
Omnidirectional video super-resolution using deep learning
AA Baniya, TK Lee, PW Eklund, S Aryal
IEEE Transactions on Multimedia, 2023
122023
Requirements engineering framework for human-centered artificial intelligence software systems
K Ahmad, M Abdelrazek, C Arora, AA Baniya, M Bano, J Grundy
Applied Soft Computing 143, 110455, 2023
11*2023
Online video super-resolution using information replenishing unidirectional recurrent model
AA Baniya, TK Lee, PW Eklund, S Aryal, A Robles-Kelly
Neurocomputing 546, 126355, 2023
72023
Improved histogram-based anomaly detector with the extended principal component features
S Aryal, AA Baniya, KC Santosh
arXiv preprint arXiv:1909.12702, 2019
42019
Frame Selection Using Spatiotemporal Dynamics and Key Features as Input Pre-processing for Video Super-Resolution Models
A Agrahari Baniya, TK Lee, P Eklund, S Aryal
SN Computer Science 5 (3), 323, 2024
2*2024
Current state, data requirements and generative ai solution for learning-based computer vision in horticulture
AA Baniya, PW Eklund, S Aryal
Preprints, 2023
22023
A Data Ecosystem for Orchard Research and Early Fruit Traceability
SR Williams, A Agrahari Baniya, MS Islam, K Murphy
Horticulturae 9 (9), 1013, 2023
12023
STIFS: Spatio-Temporal Input Frame Selection for Learning-based Video Super-Resolution Models.
AA Baniya, TK Lee, PW Eklund, S Aryal
SIGMAP, 48-58, 2022
1*2022
A novel data pre-processing technique robust to units and scales of measurement.
AA Baniya, S Aryal, KC Santosh
Aust. J. Intell. Inf. Process. Syst. 16 (3), 1-8, 2019
1*2019
Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing
S Aryal, JR Wells, AA Baniya, KC Santosh
arXiv preprint arXiv:2401.11402, 2024
2024
A Methodical Study of Deep Learning Based Video Super-Resolution
A Agrahari Baniya, G Lee, P Eklund, S Aryal
TechRxiv, 2023
2023
SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms
S Aryal, AA Baniya, I Razzak, KC Santosh
2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021
2021
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