東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Deep learning theory and application...

International Conference on Deep Learning Theory and Applications (2024 :)

Linked to FindBook

Google Book

Amazon

博客來

Deep learning theory and applications = 5th International Conference, DeLTA 2024, Dijon, France, July 10-11, 2024 : proceedings.. Part I /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deep learning theory and applications/ edited by Ana Fred ...[et al.].
Reminder of title:	5th International Conference, DeLTA 2024, Dijon, France, July 10-11, 2024 : proceedings.
remainder title:	DeLTA 2024
other author:	Fred, Ana.
corporate name:	International Conference on Deep Learning Theory and Applications
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xxiii, 367 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	Deep 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.
Contained By:	Springer Nature eBook
Subject:	Deep learning (Machine learning) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-66694-0
ISBN:	9783031666940

Deep learning theory and applications = 5th International Conference, DeLTA 2024, Dijon, France, July 10-11, 2024 : proceedings.. Part I /
Deep learning theory and applications5th International Conference, DeLTA 2024, Dijon, France, July 10-11, 2024 : proceedings.Part I /[electronic resource] :DeLTA 2024edited by Ana Fred ...[et al.]. - Cham :Springer Nature Switzerland :2024. - xxiii, 367 p. :ill. (chiefly col.), digital ;24 cm. - Communications in computer and information science,21711865-0937 ;. - Communications in computer and information science ;2171..

Deep 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.

The 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.

ISBN: 9783031666940

Standard No.: 10.1007/978-3-031-66694-0doiSubjects--Topical Terms:

3593062
Deep learning (Machine learning)
--Congresses.

LC Class. No.: Q325.73 / .I58 2024

Dewey Class. No.: 006.31

Deep learning theory and applications = 5th International Conference, DeLTA 2024, Dijon, France, July 10-11, 2024 : proceedings.. Part I /
LDR:03557nmm a22003615a 4500 001 2387932
003 DE-He213
005 20240821130242.0
006 m d
007 cr nn 008maaau
008 250916s2024 sz s 0 eng d
020 $a 9783031666940 $q (electronic bk.)
020 $a 9783031666933 $q (paper)
024 7 $a 10.1007/978-3-031-66694-0 $2 doi
035 $a 978-3-031-66694-0
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.73 $b .I58 2024
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.73 $b .I61 2024
111 2 $a International Conference on Deep Learning Theory and Applications $n (5th : $d 2024 : $c Dijon, France) $3 3752685
245 1 0 $a Deep learning theory and applications $h [electronic resource] : $b 5th International Conference, DeLTA 2024, Dijon, France, July 10-11, 2024 : proceedings. $n Part I / $c edited by Ana Fred ...[et al.].
246 3 $a DeLTA 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xxiii, 367 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
347 $a text file $b PDF $2 rda
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2171
505 0 $a Deep 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 $a The 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.
650 0 $a Deep learning (Machine learning) $v Congresses. $3 3593062
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Computer and Information Systems Applications. $3 3538505
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Natural Language Processing (NLP) $3 3381674
700 1 $a Fred, Ana. $3 845190
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 2171. $3 3752686
856 4 0 $u https://doi.org/10.1007/978-3-031-66694-0
950 $a Computer Science (SpringerNature-11645)