Arbind Agrahari Baniya

According to our database, Arbind Agrahari Baniya authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Survey of Deep Learning Video Super-Resolution.

Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

Frame Selection Using Spatiotemporal Dynamics and Key Features as Input Pre-processing for Video Super-Resolution Models.

Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal

SN Comput. Sci., March, 2024

Omnidirectional Video Super-Resolution Using Deep Learning.

Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal

IEEE Trans. Multim., 2024

Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing.

Sunil Aryal, Jonathan R. Wells, Arbind Agrahari Baniya, KC Santosh

CoRR, 2024

2023

Requirements engineering framework for human-centered artificial intelligence software systems.

Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora, Arbind Agrahari Baniya, Muneera Bano, John Grundy

Appl. Soft Comput., August, 2023

Online Video Super-resolution using Information Replenishing Unidirectional Recurrent Model.

Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal, Antonio Robles-Kelly

Neurocomputing, 2023

Requirements Framework for Engineering Human-centered Artificial Intelligence-Based Software Systems.

Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora, Arbind Agrahari Baniya, Muneera Bano, John Grundy

CoRR, 2023

2022

STIFS: Spatio-Temporal Input Frame Selection for Learning-based Video Super-Resolution Models.

Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal

Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications, 2022

2021

A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement.

Arbind Agrahari Baniya, Sunil Aryal, KC Santosh

CoRR, 2021

SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms.

Sunil Aryal, Arbind Agrahari Baniya, Imran Razzak, KC Santosh

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

IRRISENS: An IoT Platform Based on Microservices Applied in Commercial-Scale Crops Working in a Multi-Cloud Environment.

Rodrigo Filev Maia, Carlos Ballester Lurbe, Arbind Agrahari Baniya, John Hornbuckle

Sensors, 2020

2019

Improved histogram-based anomaly detector with the extended principal component features.

Sunil Aryal, Arbind Agrahari Baniya, KC Santosh

CoRR, 2019

A novel data pre-processing technique robust to units and scales of measurement.

Arbind Agrahari Baniya, Sunil Aryal, KC Santosh

Aust. J. Intell. Inf. Process. Syst., 2019