Skip navigation
Statistics
Help
About OPUS
How to Deposit
Managing Copyright
Browse
UTS Organisational Groups
Browse Items by:
Issue Date
Author
Title
Type
ARC/NHRMC Funded
Search OPUS
OPUS at UTS
Browsing byAuthorPradhan, B
Jump to:
0-9
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
or enter first few letters:
Sort by:
title
issue date
submit date
ARC/NHRMC funded
In order:
Ascending
Descending
Results/Page
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Authors/Record:
All
1
5
10
15
20
25
30
35
40
45
50
Showing results 146 to 165 of 609
< previous
next >
Issue Date
Title
Author(s)
-
D. Davoodi Moghaddam, M. Rezaei, HR Pourghasemi, ZS Pourtaghie &
Pradhan, B
2019-07-01
Dam site suitability assessment at the Greater Zab River in northern Iraq using remote sensing data and GIS
Noori, AM
;
Pradhan, B
;
Ajaj, QM
2016
Data fusion technique using wavelet transform and taguchi methods for automatic landslide detection from airborne laser scanning data and quickbird satellite imagery
Pradhan, B
;
Jebur, MN
;
Shafri, HZM
;
Tehrany, MS
2019-08-02
Data mining and statistical approaches in debris-flow susceptibility modelling using airborne LiDAR Data
Lay, US
;
Pradhan, B
;
Yusoff, ZBM
;
Abdallah, AFB
;
Aryal, J
;
Park, HJ
2018-02
Data Mining-Aided Automatic Landslide Detection Using Airborne Laser Scanning Data in Densely Forested Tropical Areas
Pradhan, B
;
Mezaal, MR
2023-08-15
Data-driven approaches to sustainable referral system design integrating the offline channel and the online channel
Wan, M
;
Shukla, N
;
Li, J
;
Pradhan, B
2016
Debris flow impact assessment along the Al-Raith Road, Kingdom of Saudi Arabia, using remote sensing data and field investigations
Youssef, AM
;
Al-Kathery, M
;
Pradhan, B
;
El-Sahly, T
2022-02-01
Debris flow simulation 2D (DFS 2D): Numerical modelling of debris flows and calibration of friction parameters
Abraham, MT
;
Satyam, N
;
Pradhan, B
;
Tian, H
2017-05-04
Debris flow source identification in tropical dense forest using airborne laser scanning data and Flow-R model
Pradhan, B
;
Bakar, SBA
2017-05-04
Debris flow susceptibility assessment using airborne laser scanning data
Pradhan, B
;
Kalantar, B
;
Abdulwahid, WM
;
Dieu, BT
2023-09-01
Decadal shoreline changes and effectiveness of coastal protection measures post-tsunami on 26 December 2004
Meilianda, E
;
Mauluddin, S
;
Pradhan, B
;
Sugianto, S
2021-01-01
Deep learning and explainable artificial intelligence techniques applied for detecting money laundering – a critical review
Kute, DV
;
Pradhan, B
;
Shukla, N
;
Alamri, A
2018-01-01
Deep Learning Approach for Building Detection Using LiDAR-Orthophoto Fusion
Nahhas, FH
;
Shafri, HZM
;
Sameen, MI
;
Pradhan, B
;
Mansor, S
-
Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review
Abdollahi, A
;
Pradhan, B
;
Shukla, N
;
Chakraborty, S
;
Alamri, A
2021-10-07
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images
HORRY, M
;
Chakraborty, S
;
Pradhan, B
;
Paul, M
;
Gomes, D
;
Ul-Haq, A
;
Alamri, A
2021-01-01
Demystifying Artificial Intelligence based Behavior Prediction of Traffic Actors for Autonomous Vehicle- A Bibliometric Analysis of Trends and Techniques
Kolekar, SS
;
Gite, SS
;
Pradhan, B
2018-07-11
Desertification sensitivity analysis using medalus model and gis: A case study of the oases of middle draa valley, morocco
Lamqadem, AA
;
Pradhan, B
;
Saber, H
;
Rahimi, A
2022-01-01
Detection of alteration zones using the Dirichlet process Stick-Breaking model-based clustering algorithm to hyperion data: the case study of Kuh-Panj porphyry copper deposits, Southern Iran
Yousefi, M
;
Tabatabaei, SH
;
Rikhtehgaran, R
;
Pour, AB
;
Pradhan, B
2021-11-08
Detection of Iris Presentation Attacks Using Feature Fusion of Thepade's Sorted Block Truncation Coding with Gray-Level Co-Occurrence Matrix Features.
Khade, S
;
Gite, S
;
Thepade, SD
;
Pradhan, B
;
Alamri, A
2021-01-01
Detection of Iris Presentation Attacks Using Hybridization of Discrete Cosine Transform and Haar Transform with Machine Learning Classifiers and Ensembles
Khade, S
;
Gite, S
;
Thepade, SD
;
Pradhan, B
;
Alamri, A