Artificial Intelligence and Speech Technology - 6th International Conference, AIST 2024, Delhi, India, November 13-14, 2024, Proceedings, Part II

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.

Table des matières

.- 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.

Résumé

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.

Détails du produit

• Collaboration: Dr Arun Sharma (Editeur), Rani (Editeur), Dr. Ritu Rani (Editeur), Ritu Rani (Editeur), Ritu Rani (Editeur), Arun Sharma (Editeur), Dr. Arun Sharma (Editeur)
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 01.06.2025
• EAN: 9783031913396
• ISBN: 978-3-0-3191339-6
• Pages: 381
• Dimensions: 155 mm x 22 mm x 235 mm
• Poids: 616 g
• Illustrations: XXV, 381 p. 151 illus., 135 illus. in color.
• Thème: Communications in Computer and Information Science
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Informatique; Computerhardware, machine learning, Lehrmittel, Lerntechnologien, E-Learning, Artificial Intelligence, Deep Learning, Bildverarbeitung, Computer Imaging, Vision, Pattern Recognition and Graphics, Computers and Education, Computer Engineering and Networks, Computer Application in Social and Behavioral Sciences, Speech recognition, speech synthesis, text-to-speech synthesis, multimodal information retrieval, natural language processing based tools and applications, speech technology, speech/text language translation, compressed sensing (for Speech and/or Image Processing), medical imaging and AI, computer vision and speech recognition, multimodal AI: integrating vision and speech, generative adversarial networks (GANs) in computer vision, deep learning for image recognition, speech data collection and annotation, adapting LLMs for speech tasks, transfer learning and fine-tuning techniques for ChatGPT, speech recognition with LLMs