000 | 07088nam a22005535i 4500 | ||
---|---|---|---|
001 | 978-3-030-76063-2 | ||
003 | DE-He213 | ||
005 | 20240423130147.0 | ||
007 | cr nn 008mamaa | ||
008 | 210521s2021 sz | s |||| 0|eng d | ||
020 |
_a9783030760632 _9978-3-030-76063-2 |
||
024 | 7 |
_a10.1007/978-3-030-76063-2 _2doi |
|
050 | 4 | _aQA76.9.C66 | |
072 | 7 |
_aUBJ _2bicssc |
|
072 | 7 |
_aCOM079000 _2bisacsh |
|
072 | 7 |
_aUBJ _2thema |
|
082 | 0 | 4 |
_a303.4834 _223 |
245 | 1 | 0 |
_aScience and Technologies for Smart Cities _h[electronic resource] : _b6th EAI International Conference, SmartCity360°, Virtual Event, December 2-4, 2020, Proceedings / _cedited by Sara Paiva, Sérgio Ivan Lopes, Rafik Zitouni, Nishu Gupta, Sérgio F. Lopes, Takuro Yonezawa. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
|
300 |
_aXXI, 652 p. 283 illus., 231 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, _x1867-822X ; _v372 |
|
505 | 0 | _aAI-assisted Solutions for COVID-19 and Biomedical Applications in Smart-Cities -- IoT and AI for COVID-19 in Scalable Smart Cities -- Automated Segmentation of COVID-19 Lesion from Lung CT Images using U-Net Architecture -- COVID-19 Patient Care: A Content-Based Collaborative Filtering Using Intelligent Recommendation Systems -- A new Blood Pressure prediction approach using PPG sensors : subject specific evaluation over a long-term period -- 5G network Slicing Technology and its Impact on COVID-19: A Comprehensive Survey -- An Empirical Study of Trilateration and Clustering for Indoor Localization and Trend Prediction -- Covid-19 Detection on CT Scans using Local Binary Pattern and Deep Learning -- Security and privacy issues associated with Coronavirus diagnosis and prognosis Approach for the development of a system for COVID-19 preliminary test -- Application of Distributed Generation for Reduction of Power Losses and Voltage Deviation in Electric Distribution System by Using AI Techniques.-Non-Linear Control Applied to a 3d Printed Hand To Beacon or Not?: Speed Based Probabilistic Adaptive Beaconing Approach for Vehicular Ad-Hoc Networks -- Reduce 802.11 Connection Time Using Offloading and Merging of DHCP layer to MAC layer -- Hybrid Machine Learning Model for Traffic Forecasting -- Labeling News Article’s Subject Using Uncertainty Based Active Learning -- Intelligent Edge Processing in the IoT Era Environment Monitoring Modules with Fire Detection Capability based on IoT Methodology -- NetButler: Voice-Based Edge/Cloud Virtual Assistant for Home Network Management -- Low-cost LoRa-based IoT Edge Device for Indoor Air Quality Management in Schools -- Technologies for Industrial Internet of Things (IIoT): Guidelines for Edge Computing Adoption in the Industry -- Scalable Approximate Computing Techniques for Latency and Bandwidth Constrained IoT Edge -- Collaborative task processing with Internet of Things (IoT) Clusters -- An Energy Sustainable CPS/IoT Ecosystem -- Inference Performance Comparison of Convolutional Neural Networks on Edge Devices -- Cognitive Computing and Cyber Physical Systems A non-intrusive IoT-based real-time alert system for elderly people monitoring -- A Smartphone Application Designed to Detect Obstacles for Pedestrians’ Safety -- Automatic Generation of Security Requirements for Privacy-Preserving Blockchain-Based Solutions in the Internet of Things -- Assessment of Video Games Players and Teams Behaviour via Sensing and Heterogeneous Data Analysis: Deployment at an eSports Tournament -- A feature-fusion transfer learning method as a basis to support automated smartphone recycling in a circular smart city -- Are Neural Networks Really the Holy Grail? A Comparison of Multivariate Calibration for Low-cost Environmental Sensors -- MOBIUS: Smart Mobility Tracking with Smartphone Sensors -- An Attack-resistant Weighted Least Squares Localization Algorithm Based on RSSI -- Promotion as a Tool of Smart Governance in Cities -- Identity Inclusion: A Digital National Identification for All Computer Vision Assisted Approaches to Detect Street Garbage from Citizen Generated Imagery -- Smart Governance in Urban Mobility Process -- 37 A Framework for GIS-enabled Public Electronic Participation in Municipal Solid Waste Management -- A Crowd-sourced Obstacle Detection and Navigation App for Visually Impaired An ecosystem approach to the design of sensing systems for bicycles Calibration of Low-cost Particulate Matter Sensors with Elastic Weight Consolidation (EWC) as an Incremental Deep Learning Method -- Person-Flow Estimation with Preserving Privacy using Multiple 3D People Counters -- Quality and Reliability Metrics for IoT Systems: A Consolidated View. | |
520 | _aThis book constitutes the refereed proceedings of the 6th Annual Smart City 360° Summit. Due to COVID-19 pandemic the conference was held virtually. The volume combines selected papers of seven conferences, namely AISCOVID 2020 - International Conference on AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart-Cities; EdgeIoT 2020 - International Conference on Intelligent Edge Processing in the IoT Era; IC4S 2020 - International Conference on Cognitive Computing and Cyber Physical Systems; CiCom 2020 - International Conference on Computational Intelligence and Communications; S-Cube 2020 - International Conference on Sensor Systems and Software; SmartGov 2020 - International Conference on Smart Governance for Sustainable Smart Cities; and finnally, the Urb-IOT 2020 -International Conference on IoT in Urban Space. | ||
650 | 0 | _aComputers and civilization. | |
650 | 1 | 4 | _aComputers and Society. |
700 | 1 |
_aPaiva, Sara. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aLopes, Sérgio Ivan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aZitouni, Rafik. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aGupta, Nishu. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aLopes, Sérgio F. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aYonezawa, Takuro. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030760625 |
776 | 0 | 8 |
_iPrinted edition: _z9783030760649 |
830 | 0 |
_aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, _x1867-822X ; _v372 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-76063-2 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNS | ||
942 | _cSPRINGER | ||
999 |
_c185708 _d185708 |