Data Mining Practical Machine Learning Tools and Techniques

Social Network Analysis

Image classification is a complex process that may be affected by many factors. This paper examines current practices, problems, and prospects of image classification. The emphasis is placed on the summarization of major advanced classification approaches and the techniques used for improving classification accuracy. In addition, some important issues affecting classification performance are discussed. This literature review suggests that designing a suitable image-processing procedure is a prerequisite for a successful classification of remotely sensed data into a thematic map. Effective use of multiple features of remotely sensed data and the selection of a suitable classification method are especially significant for improving classification accuracy. Non-parametric classifiers such as neural network, decision tree classifier, and knowledge-based classification have increasingly become important approaches for multisource data classification. Integration of remote sensing, geographical information systems (GIS), and expert system emerges as a new research frontier. More research, however, is needed to identify and reduce uncertainties in the image-processing chain to improve classification accuracy.

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A survey of image classification methods and techniques for improving classification performance

COVID-19 Dashboard

With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual (RGB) sensing has become available for widespread use. The complementary nature of the depth and visual information provided by the Kinect sensor opens up new opportunities to solve fundamental problems in computer vision. This paper presents a comprehensive review of recent Kinect-based computer vision algorithms and applications. The reviewed approaches are classified according to the type of vision problems that can be addressed or enhanced by means of the Kinect sensor. The covered topics include preprocessing, object tracking and recognition, human activity analysis, hand gesture analysis, and indoor 3-D mapping. For each category of methods, we outline their main algorithmic contributions and summarize their advantages/differences compared to their RGB counterparts. Finally, we give an overview of the challenges in this field and future research trends. This paper is expected to serve as a tutorial and source of references for Kinect-based computer vision researchers.

Enhanced Computer Vision With Microsoft Kinect Sensor: A Review

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Use of low-cost particle monitors to calibrate traffic­-related air pollutant models in urban areas

Schistosoma japonicum egg excretion and kinship relationship data from 13 endemic villages in the mountainous transmission area near Xichang, in Sichuan province, China, were analyzed via a variance components methodology to assess the relative contribution of kinship, shared household, and shared village to the risk of infection. Large intervillage differences in egg counts exist in this region due to differences in transmission potential related to environmental differences in snail density and agricultural practices. After accounting for these intervillage differences, there was no kinship or household effect on egg excretion. This reinforces earlier findings that suggest environmental factors dominate risk in this region.

Genetic and household risk factors for Schistosoma japonicum infection in the presence of larger scale environmental differences in the mountainous transmission areas of China.

As health impact assessments (HIAs) become increasingly common in the USA, there is growing demand for instruction beyond short courses and online training. As of October 2013, there are graduate level courses that include instruction on HIA in at least 17 universities in the USA, including four courses that focus explicitly on HIA. Instructors of these four courses collaborated to develop a model curriculum for teaching HIA that draws on a framework for experiential learning and on a theoretical model of curriculum formulation. This article includes an in-depth analysis of these courses and presents a model curriculum for HIA instruction during an academic quarter or semester course in a university. This model curriculum may help faculty develop a graduate level HIA course at their institution, as well as inform public health and community design professionals interested in building capacity to conduct HIAs, and students considering taking an HIA course. International instructors could also learn from th...

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Developing a model curriculum for a university course in health impact assessment in the USA

Residential Cooking-Related PM2.5: Spatial-Temporal Variations Under Various Intervention Scenarios

Bioaerosol sampling and identification are vital for the assessment and control of airborne pathogens, allergens, and toxins. In-situ analysis of chemical and biological particulate matter can significantly reduce the costs associated with sample preservation, transport, and analysis. The analysis of conventional filters is challenging, due to dilute samples in large collection regions. A low-cost cartridge for collection and analysis of aerosols is developed for use in epidemiological studies and personal exposure assessments. The cartridge collects aerosol samples in a micro-well which reduces particles losses due to the bounce and does not require any coating. The confined particle collection area (dwell~1.4 mm) allows reducing the elution volume for subsequent analysis. The performance of the cartridge is validated in laboratory studies using aerosolized bacterial spores (Bacillus subtilis). Colony forming unit analysis is used for bacterial spore enumeration. Cartridge collection efficiency is evaluated by comparison with the reference filters and found to be consistent with tested flow rates. Sample recovery for the pipette elution is ~80%. Due to the high density of the collected sample, the cartridge is compatible with in-situ spectroscopic analysis and sample elution into the 10–20 μl liquid volume providing a significant increase in sample concentration for subsequent analysis.

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Edmund Seto

Papers

Use of low-cost particle monitors to calibrate traffic-related air pollutant models in urban areas

Genetic and household risk factors for Schistosoma japonicum infection in the presence of larger scale environmental differences in the mountainous transmission areas of China.

Developing a model curriculum for a university course in health impact assessment in the USA

Residential Cooking-Related PM2.5: Spatial-Temporal Variations Under Various Intervention Scenarios

Evaluation of micro-well collector for capture and analysis of aerosolized Bacillus subtilis spores.

Edmund Seto

Papers

Use of low-cost particle monitors to calibrate traffic­-related air pollutant models in urban areas

Genetic and household risk factors for Schistosoma japonicum infection in the presence of larger scale environmental differences in the mountainous transmission areas of China.

Developing a model curriculum for a university course in health impact assessment in the USA

Residential Cooking-Related PM2.5: Spatial-Temporal Variations Under Various Intervention Scenarios

Evaluation of micro-well collector for capture and analysis of aerosolized Bacillus subtilis spores.

Use of low-cost particle monitors to calibrate traffic-related air pollutant models in urban areas