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008			220928s2022 sz | s |||| 0|eng d
020			_a9783031163647
024	7		_a10.1007/978-3-031-16364-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aComputational Intelligence in Data Science _b5th IFIP TC 12 International Conference, ICCIDS 2022, Virtual Event, March 24-26, 2022, Revised Selected Papers _cedited by Lekshmi Kalinathan, Priyadharsini R, Madheswari Kanmani, Manisha S
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIII, 368 páginas) _b215 ilustraciones, 161 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aIFIP Advances in Information and Communication Technology _x1868-422X _v654
505	0		_aComparative Analysis of Sensor-based Human Activity Recognition using Artificial Intelligence -- A survey on cervical cancer detection and classification using deep learning -- Counting Number of people and social distance detection using deep learning -- Analysis of Age Sage Classification for Students' Social Engagement using REPTree & Random Forest -- Factual Data Protection Procedure on IoT-Based Customized Medicament Innovations -- Deep Learning based Covid-19 patients detection -- A progressive approach of designing and analysis of Solar and wind stations integrated with the grid connected systems -- A Survey on Techniques and Methods of Recommender System -- Live Social Spacing Tracker Based on Domain Detection -- Assessing Layer Normalization with BraTS MRI Data in a Convolution Neural Net -- Data set creation and Empirical analysis for detecting signs of depression from social media postings -- Classification and Prediction of lung cancer with histopathological images using VGG-19 architecture -- Analysis of the Impact of White Box Adversarial Attacks in ResNet While Classifying Retinal Fundus Images -- Factors Influencing the Helpfulness of Online Consumer Reviews -- Perspective Review on Deep Learning Models to Medical Image Segmentation -- Real Time Captioning and Notes Making of Online classes -- Disease Identification in Tomato Leaf using pre-trained ResNet and Deformable Inception -- Allowance of Driving Based on Drowsiness Detection using Audio and Video Processing -- Detection and classification of Groundnut Leaf Disease using Convolutional Neural Network -- Enhanced Residual Connections Method for Low Resolution Images in Rice Plant Disease Classification -- COVI-PROC -- GPS Tracking Traffic Management System using Priority Based Algorithm -- Accident detection system using deep learning -- Monitoring of PV Modules and Hotspot Detection using Convolution Neural Network based Approach -- Literature review on human behavioural analysis using deep learning algorithm -- An improved Ensemble Extreme Learning Machine classifier for detecting diabetic retinopathy in fundus images -- Text Mining Amazon Mobile Phone Reviews: Insight from an Exploratory Data Analysis -- Supervised Learning of Procedures from Tutorial Videos.
520			_aThis book constitutes the refereed post-conference proceedings of the Fifth IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2022, held virtually, in March 2022. The 28 revised full papers presented were carefully reviewed and selected from 96 submissions. The papers cover topics such as computational intelligence for text analysis; computational intelligence for image and video analysis; blockchain and data science.
700	1		_aKalinathan, Lekshmi _eeditor literario _0(orcid)0000-0002-7005-742X _1https://orcid.org/0000-0002-7005-742X _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aR., Priyadharsini _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKanmani, Madheswari _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aS., Manisha _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783031163630
776	0	8	_iPrinted edition: _z9783031163654
776	0	8	_iPrinted edition: _z9783031163661
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-16364-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Computer_2022
999			_c394071 _d394071