Jagannath Aryal

Scopus Author ID ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 4

Top Topics

Convolutional Neural Network

High Resolution

Peripheral Blood

Top Venues

Sensors (Basel, Switzerland)

Entropy (Basel, Switzerland)

The University of Melbourne

Lincoln University, New Zealand (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

The University of Melbourne Jul 1o 2020

Australia

Senior Lecturer :: Infrastructure Engineering

Education History

Lincoln University, New Zealand Nov 10o 2006 - Nov 10o 2009

New Zealand

PHD :: Centre for Advanced Computational Solutions (CfACS)

Publications

Bipul Neupane, Teerayut Horanont, Jagannath Aryal
Real-Time Vehicle Classification and Tracking Using a Transfer Learning-Improved Deep Learning Network. Sensors (Basel, Switzerland) 22 (10) (2022)
Majid Shadman Roodposhti, Jagannath Aryal, Arko Lucieer, Brett A Bryan
Uncertainty Assessment of Hyperspectral Image Classification: Deep Learning vs. Random Forest. Entropy (Basel, Switzerland) 21 (1) (2019)
Usman Salihu Lay, Biswajeet Pradhan, Zainuddin Bin Md Yusoff, Ahmad Fikri Bin Abdallah, Jagannath Aryal, Hyuck-Jin Park
Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR Data. Sensors (Basel, Switzerland) 19 (16) (2019)
Majid Shadman Roodposhti, Jagannath Aryal, Biswajeet Pradhan
A Novel Rule-based Approach In Mapping Landslide Susceptibility. Sensors (Basel, Switzerland) 19 (10) (2019)