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Artificial Intelligence and Speech Technology: 6th International Conference, AIST 2024, Delhi, India, November 1314, 2024, Proceedings, Part II [Minkštas viršelis]

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  • Formatas: Paperback / softback, 381 pages, aukštis x plotis: 235x155 mm, 135 Illustrations, color; 16 Illustrations, black and white; XXV, 381 p. 151 illus., 135 illus. in color., 1 Paperback / softback
  • Serija: Communications in Computer and Information Science 2390
  • Išleidimo metai: 30-May-2025
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031913396
  • ISBN-13: 9783031913396
Kitos knygos pagal šią temą:
Artificial Intelligence and Speech Technology: 6th International Conference, AIST 2024, Delhi, India, November 1314, 2024, Proceedings, Part IIDidesnis paveikslėlis
  • Formatas: Paperback / softback, 381 pages, aukštis x plotis: 235x155 mm, 135 Illustrations, color; 16 Illustrations, black and white; XXV, 381 p. 151 illus., 135 illus. in color., 1 Paperback / softback
  • Serija: Communications in Computer and Information Science 2390
  • Išleidimo metai: 30-May-2025
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031913396
  • ISBN-13: 9783031913396
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783031913396.html

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.
.- 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.