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245	1	0	_aDeep Learning Theory and Applications _h[electronic resource] : _b5th International Conference, DeLTA 2024, Dijon, France, July 10-11, 2024, Proceedings, Part I / _cedited by Ana Fred, Allel Hadjali, Oleg Gusikhin, Carlo Sansone.
250			_a1st ed. 2024.
264		1	_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024.
300			_aXXIII, 367 p. 153 illus., 138 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		_aCommunications in Computer and Information Science, _x1865-0937 ; _v2171
505	0		_aDeep Learning for Wearable Biometrics -- A Deep Learning-Based Plant Disease Detection and Classification for Arabica Coffee Leaves -- CNN-N-BEATS: Novel Hybrid Model for Time-Series Forecasting -- Development and Applications of Gesture-Controlled Drones: Advances in Hand Gesture Recognition for Aerial Navigation -- Towards Natural-Sounding Speech to Text in English -- Scoping Review of Active Learning Strategies and Their Evaluation Environments for Entity Recognition Tasks -- Solar Activity Impact on Firefighter Interventions: Factors Analysis -- Detecting Flow via a Machine Learning Model in a MOOC Context -- Online Job Posting Authenticity Prediction with Machine and Deep Learning: Performance Comparison Between N-Gram and TF-IDF -- Evolving Deep Architectures: A New Blend of CNNs and Transformers Without Pre-Training Dependencies.-Closing the Sim-to-Real Gap: Enhancing Autonomous Precision Landing of UAVs with Detection-Informed Deep Reinforcement Learning -- Mitigating Class Imbalance in Healthcare AI Image Classification: Evaluating the Efficacy of Existing Generative Adversarial Network -- More than Noise: Assessing the Viscosity of Food Products Based on Sound Emission -- Vector Analysis of Deep Neural Network Training Process -- Secure Coalition Formation for Federated Machine Learning -- Action Conditioned Attention Encoder-Decoder and Discriminator for Human Motion Generation -- Citation Polarity Identification in Scientific Research Articles Using Deep Learning Methods -- Exploring Physiology-Based Classification of Flow During Musical Improvisation in Mixed Reality -- Refining Weights for Enhanced Object Similarity in Multi-Perspective 6D of Pose Estimation and 3D Object Detection -- End-to-End Video Surveillance Framework for Anomaly Detection and Person Re-Identification -- Few-Shot Learning with Novelty Detection.
520			_aThe two-volume set CCIS 2171 and 2172 constitutes the refereed best papers from the 5th International Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024. The 44 papers included in these proceedings were carefully reviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial intelligence, etc. .
541			_fUABC ; _cPerpetuidad
650		0	_aArtificial intelligence.
650		0	_aMachine learning.
650		0	_aApplication software.
650		0	_aData mining.
650		0	_aNatural language processing (Computer science).
650	1	4	_aArtificial Intelligence.
650	2	4	_aMachine Learning.
650	2	4	_aComputer and Information Systems Applications.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aNatural Language Processing (NLP).
700	1		_aFred, Ana. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aHadjali, Allel. _eeditor. _0(orcid)0000-0002-4452-1647 _1https://orcid.org/0000-0002-4452-1647 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGusikhin, Oleg. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSansone, Carlo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783031666933
776	0	8	_iPrinted edition: _z9783031666957
830		0	_aCommunications in Computer and Information Science, _x1865-0937 ; _v2171
856	4	0	_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-66694-0
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