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Leveraging Data Science for Global Health

Authors: --- --- --- --- et al.
ISBN: 9783030479947 Year: Pages: 475 DOI: 10.1007/978-3-030-47994-7 Language: English
Publisher: Springer Nature
Subject: Medicine (General) --- Computer Science --- Economics
Added to DOAB on : 2020-09-01 00:01:25
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This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.

Zoonotic Diseases and One Health

Authors: --- --- ---
ISBN: 9783039280100 / 9783039280117 Year: Pages: 182 DOI: 10.3390/books978-3-03928-011-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Sociology
Added to DOAB on : 2020-06-09 16:38:57
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Humans are part of an ecosystem, and understanding our relationship with the environment and with other organisms is a prerequisite to living together sustainably. Zoonotic diseases, which are spread between animals and humans, are an important issue as they reflect our relationship with other animals in a common environment. Zoonoses are still presented with high occurrence rates, especially in rural communities, with direct and indirect consequences for people. In several cases, zoonosis could cause severe clinical manifestations and is difficult to control and treat. Moreover, the persistent use of drugs for infection control enhances the potential of drug resistance and impacts on ecosystem balance and food production. This book demonstrates the importance of understanding zoonosis in terms of how it allows ecosystems to transform, adapt, and evolve. Ecohealth/One Health approaches recognize the interconnections among people, other organisms, and their shared developing environment. Moreover, these holistic approaches encourage stakeholders of various disciplines to collaborate in order to solve problems related to zoonosis. The reality of climate change necessitates considering new variables in studying diseases, particularly to predict how these changes in the ecosystems can affect human health and how to recognize the boundaries between medicine, veterinary care, and environmental and social changes towards healthy and sustainable development.

Impacts, Monitoring and Management of Forest Pests and Diseases

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ISBN: 9783039281664 9783039281671 Year: Pages: 198 DOI: 10.3390/books978-3-03928-167-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Ecology
Added to DOAB on : 2020-04-07 23:07:09
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Forest pests have diverse negative impacts on forestry economy, ecosystem services, biodiversity, and sustainable ecosystem management. The first step towards effectively managing forest pests would be to monitor their occurrence and assess their impact on forest ecosystems. The monitoring results can provide basic information for effective management strategies. The data from monitoring programs can result in the development of new methods for monitoring, assessing impact, and developing management techniques. This special issue aims to share information to assist in the effective management of forest pests, by understanding the responses of forest pests to natural and anthropogenic changes, and discussing new studies on the monitoring, assessment, and management of forest pests. The fourteen papers included in this issue focus on monitoring, assessing, and managing forest pests, including one editorial providing an overall idea of the monitoring, assessment and management of forest pests, two articles reviewing long-term changes in forest pests and forests, four papers focusing on the monitoring of forest pests, three papers on the assessment of forest pests, and four papers on the management of forest pests. These papers provide a better understanding of the structures and processes in forest ecosystems and fundamental information for the effective management of forest pests.

Civil and Military Airworthiness: Recent Developments and Challenges

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ISBN: 9783039289158 / 9783039289165 Year: Pages: 272 DOI: 10.3390/books978-3-03928-916-5 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-06-09 16:38:57
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Airworthiness, as a field, encompasses the technical and non-technical activities required to design, certify, produce, maintain, and safely operate an aircraft throughout its lifespan. The evolving technology, science, and engineering methods and, most importantly, aviation regulation, offer new opportunities and create, new challenges for the aviation industry. This book assembles review and research articles across a variety of topics in the field of airworthiness: aircraft maintenance, safety management, human factors, cost analysis, structures, risk assessment, unmanned aerial vehicles and regulations. This selection of papers informs the industry practitioners and researchers on important issues.

Deep Learning Applications with Practical Measured Results in Electronics Industries

Authors: --- --- ---
ISBN: 9783039288632 / 9783039288649 Year: Pages: 272 DOI: 10.3390/books978-3-03928-864-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-06-09 16:38:57
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This book collects 14 articles from the Special Issue entitled “Deep Learning Applications with Practical Measured Results in Electronics Industries” of Electronics. Topics covered in this Issue include four main parts: (1) environmental information analyses and predictions, (2) unmanned aerial vehicle (UAV) and object tracking applications, (3) measurement and denoising techniques, and (4) recommendation systems and education systems. These authors used and improved deep learning techniques (e.g., ResNet (deep residual network), Faster-RCNN (faster regions with convolutional neural network), LSTM (long short term memory), ConvLSTM (convolutional LSTM), GAN (generative adversarial network), etc.) to analyze and denoise measured data in a variety of applications and services (e.g., wind speed prediction, air quality prediction, underground mine applications, neural audio caption, etc.). Several practical experiments were conducted, and the results indicate that the performance of the presented deep learning methods is improved compared with the performance of conventional machine learning methods.

Keywords

computational intelligence --- offshore wind --- forecasting --- machine learning --- neural networks --- neuro-fuzzy systems --- humidity sensor --- data fusion --- nonlinear optimization --- multiple linear regression --- GSA-BP --- geometric errors correction --- kinematic modelling --- lateral stage errors --- Imaging Confocal Microscope --- K-means clustering --- data partition --- Least Squares method --- deep learning --- multivariate time series forecasting --- multivariate temporal convolutional network --- CNN --- hyperspectral image classification --- information measure --- transfer learning --- neighborhood noise reduction --- visual tracking --- update occasion --- update mechanism --- background model --- network layer contribution --- saliency information --- geometric errors --- rigid body kinematics --- lateral stage errors --- imaging confocal microscope --- MCM uncertainty evaluation --- dot grid target --- smart grid --- foreign object --- binary classification --- convolutional network --- image inpainting --- content reconstruction --- instance segmentation --- underground mines --- intelligent surveillance --- residual networks --- compressed sensing --- image compression --- image restoration --- discrete wavelet transform --- intelligent tire manufacturing --- digital shearography --- faster region-based CNN --- tire bubble defects --- tire quality assessment --- unmanned aerial vehicle --- UAV --- trajectory planning --- GA --- A* --- multiple constraints --- recommender system --- human computer interaction --- eye-tracking device --- deep learning --- oral evaluation --- generative adversarial network --- neural audio caption --- gated recurrent unit --- long short-term memory --- deep learning --- machine learning --- supervised learning --- unsupervised learning --- reinforcement learning --- optimization techniques

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2020 (5)