Search results: Found 2

Listing 1 - 2 of 2
Sort by
Approaches, Advances and Applications in Sustainable Development of Smart Cities

Authors: --- ---
ISBN: 9783039280124 / 9783039280131 Year: Pages: 308 DOI: 10.3390/books978-3-03928-013-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2020-06-09 16:38:57
License:

Loading...
Export citation

Choose an application

Abstract

This book aims to contribute to the conceptual and practical knowledge pools in order to improve the research and practice on the sustainable development of smart cities by bringing an informed understanding of the subject to scholars, policymakers, and practitioners. This book seeks articles offering insights into the sustainable development of smart cities by providing in-depth conceptual analyses and detailed case study descriptions and empirical investigations. This way, the book will form a repository of relevant information, material, and knowledge to support research, policymaking, practice, and transferability of experiences to address aforementioned challenges. The scope of the book includes the following broad areas, with a particular focus on the approaches, advances, and applications in the sustainable development of smart cities: • Theoretical underpinnings and analytical and policy frameworks; • Methodological approaches for the evaluation of smart and sustainable cities; • Technological developments in the techno-enviro nexus; • Global best practice smart city case investigations and reports; • Geo-design and applications concerning desired urban outcomes; • Prospects, implications, and impacts concerning the future of smart and sustainable cities.

Keywords

tourist island --- innovation hub --- knowledge-based urban development --- knowledge and innovation economy --- smart city --- urban branding --- urban policy --- economic resilience --- Florianópolis --- Brazil --- city branding --- sustainable urban development --- rentier state --- Qatar --- emirates --- smart cities --- mobility --- visioning --- policy --- energy budget --- land cover ratio --- sensible heat flux --- heat mitigation --- thermal environment improvement --- sustainability --- in-situ validation --- spatial typification by heat flux --- smart cities --- commons --- digital commons --- governance --- e-government --- smart governance --- new public service --- Brazil --- smart cities --- smart display --- smart placemaking --- human–computer interaction --- user characteristics --- media façade --- intuitive interaction --- living-lab --- optimal cities --- energy autonomy --- low-carbon resources --- multi-energy networks --- parametric optimisation --- CO2 networks --- drinking water networks --- reliability --- economic cost --- model predictive control --- linear parameter varying --- smart city --- multi-agent systems --- gamification --- photovoltaics --- renewable energy systems --- spatial databases --- climate change --- climate emergency --- climate crisis --- global warming --- sustainable urban development --- sustainable development goals --- smart cities --- disasters --- urban health --- urban policy --- smart cities --- Shenzhen --- Chinese cities --- latecomer’s advantage --- sustainability --- smart city --- sustainable smart city --- smart infrastructure --- smart urban technology --- smart governance --- sustainable city --- sustainable urban development --- knowledge-based urban development --- climate change --- urban informatics --- urban policy

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
License:

Loading...
Export citation

Choose an application

Abstract

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

Listing 1 - 2 of 2
Sort by
Narrow your search

Publisher

MDPI - Multidisciplinary Digital Publishing Institute (2)


License

CC by-nc-nd (2)


Language

eng (2)


Year
From To Submit

2020 (2)