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)

Improved histogram-based anomaly detector with the extended principal component features. - Sunil Aryal; Arbind Agrahari Baniya; KC Santosh (CoRR, 2019)

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)

SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms. - Sunil Aryal; Arbind Agrahari Baniya; Imran Razzak; KC Santosh (IJCNN, 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)

STIFS: Spatio-Temporal Input Frame Selection for Learning-based Video Super-Resolution Models. - Arbind Agrahari Baniya; Tsz-Kwan Lee; Peter W. Eklund; Sunil Aryal (SIGMAP, 2022)

Requirements Framework for Engineering Human-centered Artificial Intelligence-Based Software Systems. - Khlood Ahmad; Mohamed Abdelrazek 001; Chetan Arora 002; Arbind Agrahari Baniya; Muneera Bano; John Grundy 001 (CoRR, 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 engineering framework for human-centered artificial intelligence software systems. - Khlood Ahmad; Mohamed Abdelrazek 001; Chetan Arora 002; Arbind Agrahari Baniya; Muneera Bano; John Grundy 001 (Appl. Soft Comput., 2023)

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)

Omnidirectional Video Super-Resolution Using Deep Learning. - Arbind Agrahari Baniya; Tsz-Kwan Lee; Peter W. Eklund; Sunil Aryal (IEEE Trans. Multim., 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., 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., 2024)

Action Spotting and Precise Event Detection in Sports: Datasets, Methods, and Challenges. - Hao Xu; Arbind Agrahari Baniya; Sam Well; Mohamed Reda Bouadjenek; Richard Dazeley; Sunil Aryal (CoRR, 2025)

Hyperspectral Anomaly Detection Methods: A Survey and Comparative Study. - Aayushma Pant; Arbind Agrahari Baniya; Tsz-Kwan Lee; Sunil Aryal (CoRR, 2025)

Multi-Scale Attention and Gated Shifting for Fine-Grained Event Spotting in Videos. - Hao Xu; Arbind Agrahari Baniya; Sam Wells; Mohamed Reda Bouadjenek; Richard Dazeley; Sunil Aryal (CoRR, 2025)

TOTNet: Occlusion-Aware Temporal Tracking for Robust Ball Detection in Sports Videos. - Hao Xu; Arbind Agrahari Baniya; Sam Wells; Mohamed Reda Bouadjenek; Richard Dazely; Sunil Aryal (CoRR, 2025)