Search Results - Ann Dowd~
-
1
-
2
-
3
-
4
-
5
-
6
-
7
Electromygraphy (EMG) signal based hand gesture recognition using Artificial Neural Network (ANN)
Published 2011“…The purpose of this paper is to describe the process of detecting different predefined hand gestures (left, right, up and down) using artificial neural network (ANN). ANNs are particularly useful for complex pattern recognition and classification tasks. …”
Get full text
Get full text
-
8
Hand motion detection from EMG signals by using ANN based classifier for human computer interaction
Published 2011“…In this work, the detection of different hand movements (left, right, up and down) was obtained using artificial neural network (ANN). …”
Get full text
Get full text
-
9
Classification of electroencephalogram (EEG) for lower limb movement of post stroke patients using artificial neural network (ANN)
Published 2020“…Nowadays, many neurological conditions happen suddenly, such as stroke or spinal cord injury. This can cause chronic gait function impairment due to functional deficits in motor control. …”
Get full text
Get full text
Get full text
Get full text
-
10
-
11
Use of Soil Moisture Variability in Artificial Neural Network Retrieval of Soil Moisture
Published 2010“…The accuracy of the soil moisture retrieval was further improved by the division of the target site into smaller regions down to 4 km in size, with the spatial variability of soil moisture calculated from within the smaller region used in the ANN. …”
Get full text
-
12
-
13
-
14
-
15
The application of the artificial neural network model for river water quality classification with emphasis on the impact of land use activities: a case study from several catchmen...
Published 2007“…Using these variables, the performance of the BEP of ANN in classification of water quality was low (24% and 31%). …”
Get full text
-
16
Online handwritten signature recognition by length normalization using up-sampling and down-sampling
Published 2015“…In this paper, we introduce an efficient algorithm for online signature length normalization by using Up-Sampling and Down-Sampling techniques. Furthermore, online signature verification system is also proposed by using both Principal Component Analysis (PCA) for feature extraction and Artificial Neural Network (ANN) for classification. …”
Get full text
-
17
-
18
Development and structuring of commercial mortgage-backed securities in Australia
Published 2008“…This leads to the conclusion that statistical approaches used in corporate bond rating studies have limited replication capabilities in CMBS rating and that the endogeneity arguments raise significant questions about LTV and debt service coverage ratio (DSCR) as convenient, short-cut measures of CMBS default risk.However, ANNs do offer promising predictive results and can be used to facilitate implementation of survey-based CMBS rating systems. …”
Get full text
-
19
-
20