國立高雄大學圖資館 |

登入

回首頁

Deep learning theory and applications5th International Conference, DeLTA 2024, Dijon, France, July 10-11, 2024 : proceedings.Part II /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep learning theory and applicationsedited by Ana Fred ...[et al.].
其他題名:	5th International Conference, DeLTA 2024, Dijon, France, July 10-11, 2024 : proceedings.
其他題名:	DeLTA 2024
其他作者:	Fred, Ana.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2024.
面頁冊數:	xvii, 389 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Deep learning (Machine learning)
電子資源:	https://doi.org/10.1007/978-3-031-66705-3
ISBN:	9783031667053$q(electronic bk.)

Deep learning theory and applications5th International Conference, DeLTA 2024, Dijon, France, July 10-11, 2024 : proceedings.Part II /
Deep learning theory and applications5th International Conference, DeLTA 2024, Dijon, France, July 10-11, 2024 : proceedings.Part II /[electronic resource] :DeLTA 2024edited by Ana Fred ...[et al.]. - Cham :Springer Nature Switzerland :2024. - xvii, 389 p. :ill. (chiefly col.), digital ;24 cm. - Communications in computer and information science,21721865-0937 ;. - Communications in computer and information science ;229..

Geometrical Realization for Time Series Forecasting -- Brains over Brawn: Small AI Labs in the Age of Datacenter-Scale Compute -- Time Series Prediction for Anomalies Detection in Concentrating Solar Power Plants Using Long Short-Term Memory N Networks -- Bayes Classification Using an Approximation to the Joint Probability Distribution of the Attributes -- Pollutant Source Localization Based on Siamese Neural Network Similarity Measure -- Automatic Emotion Analysis in Movies: Matteo Garrone's Dogman as a Case Study -- Empowering Cybersecurity: CyberShield AI Advanced Integration of Machine Learning and Deep Learning for Dynamic Ransomware Detection -- Empirical Performance of Deep Learning Models with Class Imbalance for Crop Disease Classification -- Automating the Conducting of Surveys Using Large Language Models -- Computer Vision Based Monitoring System for Flotation in Mining Industry 4.0 -- Self-Supervised Learning for Robust Surface Defect Detection -- Efficient Deep Neural Network Verification with QAP-Based zkSNARK -- Version 8 of YOLO for Wildfire Detection -- Investigating a Semantic Similarity Loss Function for the Parallel Training of Abstractive and Extractive Scientific Document Summarizers -- Deep Learning-Based Preprocessing Tools for Turkish Natural Language Processing -- Skin Cancer Classification: A Comparison of CNN-Backbones for Feature-Extraction -- Multilingual Detection of Cyberbullying on Social Networks Using a Fine-Tuned GPT-3.5 Model -- Detecting Big-5 Personality Dimensions from Text Based on Large Language Models -- ME-ODAL: Mixture-of-Experts Ensemble of CNN Models for 3D Object Detection from Automotive LiDAR Point Clouds -- BitNet b1.58 Reloaded: State-of-the-Art Performance Also on Smaller Networks -- Deep Learning for Cattle Face Identification -- OBBabyFace: Oriented Bounding Box for Infant Face Detection -- EEG-Based Patient Independent Epileptic Seizure Detection Using GCN-BRF -- Predicting Components of a Target Value Versus Predicting the Target Value Directly.

The two-volume set CCIS 2171 and 2172 constitutes the refereed 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: 9783031667053$q(electronic bk.)

Standard No.: 10.1007/978-3-031-66705-3doiSubjects--Topical Terms:

913129
Deep learning (Machine learning)

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

Dewey Class. No.: 006.31

Deep learning theory and applications5th International Conference, DeLTA 2024, Dijon, France, July 10-11, 2024 : proceedings.Part II /
LDR:03724nmm a22003615a 4500 001 667636
003 DE-He213
005 20240821130312.0
006 m d
007 cr nn 008maaau
008 250107s2024 sz s 0 eng d
020 $a 9783031667053$q(electronic bk.)
020 $a 9783031667046$q(paper)
024 7 $a 10.1007/978-3-031-66705-3 $2 doi
035 $a 978-3-031-66705-3
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 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
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 II / $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 xvii, 389 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 2172
505 0 $a Geometrical Realization for Time Series Forecasting -- Brains over Brawn: Small AI Labs in the Age of Datacenter-Scale Compute -- Time Series Prediction for Anomalies Detection in Concentrating Solar Power Plants Using Long Short-Term Memory N Networks -- Bayes Classification Using an Approximation to the Joint Probability Distribution of the Attributes -- Pollutant Source Localization Based on Siamese Neural Network Similarity Measure -- Automatic Emotion Analysis in Movies: Matteo Garrone's Dogman as a Case Study -- Empowering Cybersecurity: CyberShield AI Advanced Integration of Machine Learning and Deep Learning for Dynamic Ransomware Detection -- Empirical Performance of Deep Learning Models with Class Imbalance for Crop Disease Classification -- Automating the Conducting of Surveys Using Large Language Models -- Computer Vision Based Monitoring System for Flotation in Mining Industry 4.0 -- Self-Supervised Learning for Robust Surface Defect Detection -- Efficient Deep Neural Network Verification with QAP-Based zkSNARK -- Version 8 of YOLO for Wildfire Detection -- Investigating a Semantic Similarity Loss Function for the Parallel Training of Abstractive and Extractive Scientific Document Summarizers -- Deep Learning-Based Preprocessing Tools for Turkish Natural Language Processing -- Skin Cancer Classification: A Comparison of CNN-Backbones for Feature-Extraction -- Multilingual Detection of Cyberbullying on Social Networks Using a Fine-Tuned GPT-3.5 Model -- Detecting Big-5 Personality Dimensions from Text Based on Large Language Models -- ME-ODAL: Mixture-of-Experts Ensemble of CNN Models for 3D Object Detection from Automotive LiDAR Point Clouds -- BitNet b1.58 Reloaded: State-of-the-Art Performance Also on Smaller Networks -- Deep Learning for Cattle Face Identification -- OBBabyFace: Oriented Bounding Box for Infant Face Detection -- EEG-Based Patient Independent Epileptic Seizure Detection Using GCN-BRF -- Predicting Components of a Target Value Versus Predicting the Target Value Directly.
520 $a The two-volume set CCIS 2171 and 2172 constitutes the refereed 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) $3 913129
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Computer and Information Systems Applications. $3 913125
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Natural Language Processing (NLP) $3 826373
700 1 $a Fred, Ana. $3 347032
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 229. $3 547963
856 4 0 $u https://doi.org/10.1007/978-3-031-66705-3
950 $a Computer Science (SpringerNature-11645)