國立高雄大學圖資館 |

Artificial intelligence and speech technology6th International Conference, AIST 2024, Delhi, India, November 13-14, 2024 : proceedings.Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence and speech technologyedited by Arun Sharma, Ritu Rani.
Reminder of title:	6th International Conference, AIST 2024, Delhi, India, November 13-14, 2024 : proceedings.
remainder title:	AIST 2024
other author:	Sharma, Arun.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xxv, 381 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence
Online resource:	https://doi.org/10.1007/978-3-031-91340-2
ISBN:	9783031913402$q(electronic bk.)

Artificial intelligence and speech technology6th International Conference, AIST 2024, Delhi, India, November 13-14, 2024 : proceedings.Part II /
Artificial intelligence and speech technology6th International Conference, AIST 2024, Delhi, India, November 13-14, 2024 : proceedings.Part II /[electronic resource] :AIST 2024edited by Arun Sharma, Ritu Rani. - Cham :Springer Nature Switzerland :2025. - xxv, 381 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,23901865-0937 ;. - Communications in computer and information science ;229..

Recent Trends in Machine Learning and Deep Learning. -- Exploring State-of-the-Art Approaches for Heart Disease Detection: A Detailed Analysis. -- A Comprehensive Analysis of Recent Methodologies for Irregular Heart Beat Prediction. -- Next-Gen Imaging: The Power of Hyperspectral Data and Autoencoders. -- Redefining Vision Tasks: The Power of Transformers in Classification, Detection and Segmentation. -- Harnessing Machine Learning for Feature Extraction in Plant Imaging and Analysis: A Review. -- DeepFake Classification using Fine-Tuned Wave2Vec2.0. -- Deepfake Detection: A Comprehensive Analysis of Modern Techniques. -- Transfer Learning for Leaf Disease Image Classification via CNN Model. -- Real-Time Detection of Household Objects Using Single-Shot with MobileNet. -- Analysis using Hybrid technologies with Artificial Intelligence. -- Investigating AI Explanations In Medical Diagnosis. -- Assessing ChatGPT in Medical Domain. -- Turbocharging Pull Request Reviews: Exploring Generative AI for Code Review. -- Leveraging Depth Data and Parameter Sharing in Vision Transformers for Improved Face Anti-Spoofing. -- Comparative Analysis of Multiple Embedding Models for Text Based Document Similarity. -- Electricity Prediction using Machine Learning. -- A Metric-Driven Comparative Study of Text Summarization Model: Insights from State-of-the- art LLMs. -- Automatic Assessment of Program Code using CodeBERTScore: A Transformer-based Approach. -- Comparative Analysis of Deep Learning Techniques on Tomato Plant Disease Detection. -- Exploring New Horizons in Computer Vision Research. -- Customer Churn Prediction Using Artificial Neural Networks. -- Recent Advances in Denoising Techniques for Hyperspectral Image Enhancement. -- Creating and Analyzing a Dictionary-Based Lexical Resource for Somali Homograph Disambiguation. -- CodeBERT-BiGRU for Software Defect Prediction. -- AccuRep: A Real-Time Android Application for Exercise Tracking Using MoveNet Pose Detection and Joint Angle Analysis. -- Comparative Evaluation of 3D U-Net and SegResNet Architectures for Brain Tumor Segmentation Using Adam and Ranger21 Optimizers. -- Advancements in Alzheimer's Disease Detection: A Comprehensive Review of Deep Learning Approaches in MRI Imaging. -- Predictive Models in Biomedical Applications: A Machine Learning Approach. -- Image Captioning Using Deep Learning Models: A Comprehensive Overview. -- NLP-Driven Sentiment Analysis for Fake News Identification: The Responsive Truth.

This two-volume set, CCIS 2389 and CCIS 2390, constitutes selected papers presented at the 6th International Conference on Artificial Intelligence and Speech Technology, AIST 2024, held in Delhi, India, during November 13-14, 2024. The 40 full papers and 15 short papers presented in these proceedings were carefully reviewed and selected from 398 submissions.These papers focus on Speech Technology using AI and AI innovations for CV and NLP. They have been categorized under the following topical sections:- Part I : Trends and Applications in Speech Processing; Recent Trends in Speech and NLP; Emerging trends in Speech Processing; Advances in Computational Linguistics and NLP. Part II : Recent Trends in Machine Learning and Deep Learning; Analysis using Hybrid technologies with Artificial Intelligence; Exploring New Horizons in Computer Vision Research.

ISBN: 9783031913402$q(electronic bk.)

Standard No.: 10.1007/978-3-031-91340-2doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q335 / .I58 2024

Dewey Class. No.: 006.3

Artificial intelligence and speech technology6th International Conference, AIST 2024, Delhi, India, November 13-14, 2024 : proceedings.Part II /
LDR:04560nmm a2200349 a 4500 001 677475
003 DE-He213
005 20250529130242.0
006 m d
007 cr nn 008maaau
008 251021s2025 sz s 0 eng d
020 $a 9783031913402$q(electronic bk.)
020 $a 9783031913396$q(paper)
024 7 $a 10.1007/978-3-031-91340-2 $2 doi
035 $a 978-3-031-91340-2
040 $a GP $c GP
041 0 $a eng
050 4 $a Q335 $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 006.3 $2 23
090 $a Q335 $b .I61 2024
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Artificial intelligence and speech technology $h [electronic resource] : $b 6th International Conference, AIST 2024, Delhi, India, November 13-14, 2024 : proceedings. $n Part II / $c edited by Arun Sharma, Ritu Rani.
246 3 $a AIST 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xxv, 381 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2390
505 0 $a Recent Trends in Machine Learning and Deep Learning. -- Exploring State-of-the-Art Approaches for Heart Disease Detection: A Detailed Analysis. -- A Comprehensive Analysis of Recent Methodologies for Irregular Heart Beat Prediction. -- Next-Gen Imaging: The Power of Hyperspectral Data and Autoencoders. -- Redefining Vision Tasks: The Power of Transformers in Classification, Detection and Segmentation. -- Harnessing Machine Learning for Feature Extraction in Plant Imaging and Analysis: A Review. -- DeepFake Classification using Fine-Tuned Wave2Vec2.0. -- Deepfake Detection: A Comprehensive Analysis of Modern Techniques. -- Transfer Learning for Leaf Disease Image Classification via CNN Model. -- Real-Time Detection of Household Objects Using Single-Shot with MobileNet. -- Analysis using Hybrid technologies with Artificial Intelligence. -- Investigating AI Explanations In Medical Diagnosis. -- Assessing ChatGPT in Medical Domain. -- Turbocharging Pull Request Reviews: Exploring Generative AI for Code Review. -- Leveraging Depth Data and Parameter Sharing in Vision Transformers for Improved Face Anti-Spoofing. -- Comparative Analysis of Multiple Embedding Models for Text Based Document Similarity. -- Electricity Prediction using Machine Learning. -- A Metric-Driven Comparative Study of Text Summarization Model: Insights from State-of-the- art LLMs. -- Automatic Assessment of Program Code using CodeBERTScore: A Transformer-based Approach. -- Comparative Analysis of Deep Learning Techniques on Tomato Plant Disease Detection. -- Exploring New Horizons in Computer Vision Research. -- Customer Churn Prediction Using Artificial Neural Networks. -- Recent Advances in Denoising Techniques for Hyperspectral Image Enhancement. -- Creating and Analyzing a Dictionary-Based Lexical Resource for Somali Homograph Disambiguation. -- CodeBERT-BiGRU for Software Defect Prediction. -- AccuRep: A Real-Time Android Application for Exercise Tracking Using MoveNet Pose Detection and Joint Angle Analysis. -- Comparative Evaluation of 3D U-Net and SegResNet Architectures for Brain Tumor Segmentation Using Adam and Ranger21 Optimizers. -- Advancements in Alzheimer's Disease Detection: A Comprehensive Review of Deep Learning Approaches in MRI Imaging. -- Predictive Models in Biomedical Applications: A Machine Learning Approach. -- Image Captioning Using Deep Learning Models: A Comprehensive Overview. -- NLP-Driven Sentiment Analysis for Fake News Identification: The Responsive Truth.
520 $a This two-volume set, CCIS 2389 and CCIS 2390, constitutes selected papers presented at the 6th International Conference on Artificial Intelligence and Speech Technology, AIST 2024, held in Delhi, India, during November 13-14, 2024. The 40 full papers and 15 short papers presented in these proceedings were carefully reviewed and selected from 398 submissions.These papers focus on Speech Technology using AI and AI innovations for CV and NLP. They have been categorized under the following topical sections:- Part I : Trends and Applications in Speech Processing; Recent Trends in Speech and NLP; Emerging trends in Speech Processing; Advances in Computational Linguistics and NLP. Part II : Recent Trends in Machine Learning and Deep Learning; Analysis using Hybrid technologies with Artificial Intelligence; Exploring New Horizons in Computer Vision Research.
650 0 $a Artificial intelligence $3 252958
650 0 $a Speech processing systems $v Handbooks, manuals, etc. $3 436562
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computer Engineering and Networks. $3 913124
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 913134
650 2 4 $a Computers and Education. $3 274532
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
700 1 $a Sharma, Arun. $3 863799
700 1 $a Rani, Ritu. $3 991012
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/10.1007/978-3-031-91340-2
950 $a Computer Science (SpringerNature-11645)