Weather forecasting using photovoltaic system and neural network
This paper presents the applicability of Artificial Neural Network (ANN) for weather
forecasting using a Photovoltaic system. The main objective is to predict daily weather …
forecasting using a Photovoltaic system. The main objective is to predict daily weather …
From sub-patterns to patterns: an approach to the detection of structural design pattern instances by subgraph mining and merging
D Yu, Y Zhang, J Ge, W Wu - 2013 IEEE 37th Annual Computer …, 2013 - ieeexplore.ieee.org
Structural design patterns address concerns related to high-level structures for applications
being developed. Accurately recovered instances of structural design patterns support …
being developed. Accurately recovered instances of structural design patterns support …
Design of temperature and humidity intelligent monitoring system
Z Wei-zhao, M Sheng-qian… - … on Electrical and …, 2010 - ieeexplore.ieee.org
Temperature control of oven is an important topic in pharmaceutical process of Traditional
Chinese Medicine. The traditional system with an analytic model does not have good control …
Chinese Medicine. The traditional system with an analytic model does not have good control …
Identification of Lung Lesions in Computed Tomography Scan Images using Machine Learning Techniques
Lung cancer is a common cause of death among people throughout the world. Other
methods for detecting lung cancer include computed tomography (CT), magnetic resonance …
methods for detecting lung cancer include computed tomography (CT), magnetic resonance …
Clustered ensemble neural network for breast mass classification in digital mammography
P McLeod, B Verma - The 2012 international joint conference …, 2012 - ieeexplore.ieee.org
This paper proposes the creation of an ensemble neural network by incorporating a k-
means classifier. This technique is designed to improve the classification accuracy of a multi …
means classifier. This technique is designed to improve the classification accuracy of a multi …
Off line writer identification based on graphometric parameters
JL Vásquez, CM Travieso… - 2013 IEEE 17th …, 2013 - ieeexplore.ieee.org
In this work is proposed a writer identification approach based on graphometrical and
forensic features. The proposal replies to an off-line system, where the handwriting is …
forensic features. The proposal replies to an off-line system, where the handwriting is …
Synergistic approaches to mobile intelligent transportation systems considering low penetration rate
This paper investigates the effect of low penetration rate on mobile phone-based traffic state
estimation (M-TES) models. Synergistic approaches, including an appropriate genetic …
estimation (M-TES) models. Synergistic approaches, including an appropriate genetic …
A divide-and-conquer strategie for FPGA implementations of large MLP-based classifiers
J Echanobe, R Finker… - 2015 International Joint …, 2015 - ieeexplore.ieee.org
This paper presents a methodology to implement large Neural Networks based classifiers in
low-cost FPGAs. The idea is to divide the large Neural Network into several smaller …
low-cost FPGAs. The idea is to divide the large Neural Network into several smaller …
[PDF][PDF] EUROCAST 2009
A Quesada-Arencibia… - … on computer aided …, 2005 - research.utwente.nl
The concept of CAST as Computer Aided Systems Theory, was introduced by F. Pichler in
the late 80's to encompass those computer theoretical and practical developments as tools …
the late 80's to encompass those computer theoretical and practical developments as tools …
Neural network based ensemble classifier for digital mammography
N McLeod - 2016 - acquire.cqu.edu.au
Breast cancer is a debilitating condition that has a high mortality and morbidity rate and is
the most commonly diagnosed form of cancer in women. The aetiology of the disease is not …
the most commonly diagnosed form of cancer in women. The aetiology of the disease is not …