LEADER 04863nam 22006975 450 001 9910881097303321 005 20240821130242.0 010 $a9783031666940$b(electronic bk.) 010 $z9783031666933 024 7 $a10.1007/978-3-031-66694-0 035 $a(MiAaPQ)EBC31608964 035 $a(Au-PeEL)EBL31608964 035 $a(CKB)34118599200041 035 $a(DE-He213)978-3-031-66694-0 035 $a(EXLCZ)9934118599200041 100 $a20240821d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDeep Learning Theory and Applications $e5th International Conference, DeLTA 2024, Dijon, France, July 10?11, 2024, Proceedings, Part I /$fedited by Ana Fred, Allel Hadjali, Oleg Gusikhin, Carlo Sansone 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (382 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2171 311 08$aPrint version: Fred, Ana Deep Learning Theory and Applications Cham : Springer,c2024 9783031666933 327 $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. 330 $aThe two-volume set CCIS 2171 and 2172 constitutes the refereed best papers from the 5th International Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024. The 44 papers included in these proceedings were carefully reviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial intelligence, etc. . 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2171 606 $aArtificial intelligence 606 $aMachine learning 606 $aApplication software 606 $aData mining 606 $aNatural language processing (Computer science) 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aComputer and Information Systems Applications 606 $aData Mining and Knowledge Discovery 606 $aNatural Language Processing (NLP) 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aApplication software. 615 0$aData mining. 615 0$aNatural language processing (Computer science). 615 14$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aComputer and Information Systems Applications. 615 24$aData Mining and Knowledge Discovery. 615 24$aNatural Language Processing (NLP). 676 $a006.3 700 $aFred$b Ana$01372767 701 $aHadjali$b Allel$01372591 701 $aGusikhin$b Oleg$01073423 701 $aSansone$b Carlo$01372864 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910881097303321 996 $aDeep Learning Theory and Applications$94207477 997 $aUNINA