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The urbanization process changed the urban ecological land and consequently affected the quality of urban residents' environment, and it was very important to obtain urban ecological land cover information. In this paper, an object-oriented method was proposed to extract urban ecological land cover from the multiple-channel images acquired by Chinese Gaofen-1 (GF-1) satellite. Taking Beijing City...
Fall is a leading cause of accidental injury deaths and a key cause of significant health problems, especially for elderly people who live alone. To assist those people for seeking help when falling and keeping records of key daily movements, we propose a simple yet effective system to monitor the daily activities and in-house locations using smartphone. We also test the system for the optimum arrangement...
The rise of internet web-based application and smart phone ease access to the stock market, attracting newcomer investors. Most investors have made their decision based on information from stock investment researches published by the brokers. An automated stock recommendation system from stock investment research is introduced in this paper. The system collects several investment researches from multiple...
Data Streams are instances that arrive at a very rapid rate with changes in underlying conceptual distributions. Many ensemble learning approaches were developed to handle these changes in the dataset, which proved to be better than a single classifier system. In our work, we will discuss the framework of our new approach, Double Weighted Methodology and empirically prove it to be better than the...
Online learning communities have become an important place serving informal learning due to the prevalence of online social networking services during the past few years. This paper proposes a social analytics framework aiming to boost recommendation service catering for the different learning demands of learners. Based on the traditional collaborative filtering approach, this study focuses on constructing...
Feature selection is based on the notion that redundant and/or irrelevant variables bring no additional information about the data classes and can be considered noise for the predictor. As a result, the total feature set of a dataset could be minimized to only few features containing maximum discrimination information about the class. Classification accuracy is used as the evaluation measure in guiding...
With the increasing popularity of the Web 2.0, we are provided with more documents which express opinions on different issues. Online posting reviews has become an increasingly preferred way for people to express opinions and sentiments towards the products bought/used or services received. Analysing the large volume of online review data available, would produce useful knowledge, which could be of...
Since the fault prediction is an important technique to help allocating software maintenance effort, much research on fault prediction has been proposed so far. The goal of these studies is applying their prediction technique to actual software development. In this paper, we implemented a prototype fault-prone module prediction tool using a text-filtering based technique named "Fault-Prone Filtering"...
Data mining has recently drawn a lot of interests as an effective way of generating a concept map in an adaptive learning system that provides students with the personalized learning guidance. Even with significant progresses witnessed in this field, the data mining-based concept map generation needs further improvement both in accuracy and complexity before it can be employed in actual education...
As information technology improves, the Internet is involved in every area in our daily life. When the mobile devices and cloud computing technology start to play important parts of our life, they have become more susceptible to attacks. In recent years, phishing and malicious websites have increasingly become serious problems in the field of network security. Attackers use many approaches to implant...
Satellite acquisitions from LANDSAT (LS) and CBERS programs are widely used in monitoring land cover dynamics. In the acquired products, clouds form opaque objects are obscuring parts of the scene and preventing a reliable extraction of information from these areas. Consequently, cloud shadows create similar problems, as the reflected intensity of the shadowed areas is highly reduced, generating additional...
This research studies the author identification of Thai online messages, based on 54 writing attributes. The method in focus is writeprint matching, which employs frequent pattern mining to create the writeprint of each suspect and computes a similarity score between this writeprint and the pattern found in an anonymous message. It achieved an average accuracy of 82%, while other well-known methods,...
Air pollutants are really a hazardous problem in Bangladesh. This paper works on the relationship between the pollutants and the admittance of patients in the medical facilities and analyzes the reason behind the increase of the disease rate in the hospitals. The research collected medical data from the medical center named National Institute of Disease of the Chest and Hospital (NIDCH) that is located...
In this paper, we examined the effectiveness of deep convolutional neural network (DCNN) for food photo recognition task. Food recognition is a kind of fine-grained visual recognition which is relatively harder problem than conventional image recognition. To tackle this problem, we sought the best combination of DCNN-related techniques such as pre-training with the large-scale ImageNet data, fine-tuning...
The popularity of social computing and sentiment analysis has attracted an increasing attention of tourism industry and academia. The sentiment analysis of residents' and tourists' plays an important role to the development of tourism. It aims to identify and analyze opinions and emotions contained in reviews which are expressed by residents or tourists. Although it's a challenging task, many companies...
We have compared in Parkinson's diseases patients neurological data with the local cerebral blood flow measured by the Single-Photon Emission Computed Tomography. Most of our patients underwent Deep Brain Stimulation surgery or were qualified for one in relation to the advanced disease progression. Local cerebral blood flow in different areas has correlated to the Unified Parkinson's Disease Rating...
Congenital malformations (CM) are abnormalities of structures arising during the prenatal development and hampering body functions later in life. Causes of CM can be genetic, environmental or any kind of drug exposure during the pregnancy. CM is one of the most important causes of infant mortality in the developing countries. In Pakistan 6–9% of the perinatal deaths are attributed to CM, but a comprehensive...
Electronic health record (EHR) systems are used in healthcare industry to observe the progress of patients. With fast growth of the data, EHR data analysis has become a big data problem. Most EHRs are sparse and multi-dimensional datasets and mining them is a challenging task due to a number of reasons. In this paper, we have used a nursing EHR system to build predictive models to determine what factors...
Improvement of classification accuracy is importance in data analysis problems. Enhancement of techniques have been proposed previously to address the problems as regard to classification performance, however, the issues of misclassification and noise elimination in the early stage of processing have been ignored by many researchers. If these problems were addressed, the performance of the classification...
The growing popularity of cloud computing has magnified the rise of software reuse by facilitating service provisioning over the Internet. At the same time, a new generation of mobile apps has emerged relying on backend services that expand the app functionally, while reducing the overhead on limited mobile resources. The Web service approach promises great flexibility in offering software functionality...
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