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 proceeding...
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| Formato: | Electrónico eBook |
| Lenguaje: | inglés |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edición: | 1st ed. 2025. |
| Colección: | Communications in Computer and Information Science,
2390 |
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| Acceso en línea: | https://doi.org/10.1007/978-3-031-91340-2 |
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| 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, Part II / |c edited by Arun Sharma, Ritu Rani. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
| 300 | |a 1 online resource (XXV, 381 p. 151 illus.). |b 135 illus. in color. | ||
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| 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. | ||
| 532 | 8 | |a Accessibility summary: This PDF does Not fully comply with PDF/UA standards but does include limited screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks for easy navigation, and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognise the importance of accessibility and welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility | |
| 532 | 8 | |a Inaccessible, or known limited accessibility | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computer engineering. | |
| 650 | 0 | |a Computer networks . | |
| 650 | 0 | |a Social sciences |x Data processing. | |
| 650 | 0 | |a Education |x Data processing. | |
| 650 | 0 | |a Image processing |x Digital techniques. | |
| 650 | 0 | |a Computer vision. | |
| 650 | 1 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Computer Engineering and Networks. |
| 650 | 2 | 4 | |a Computer Application in Social and Behavioral Sciences. |
| 650 | 2 | 4 | |a Computers and Education. |
| 650 | 2 | 4 | |a Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 700 | 1 | |a Sharma, Arun. |e editor. |0 (orcid)0000-0002-9404-4519 |1 https://orcid.org/0000-0002-9404-4519 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Rani, Ritu. |e editor. |0 (orcid)0000-0001-6219-8751 |1 https://orcid.org/0000-0001-6219-8751 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 830 | 0 | |a Communications in Computer and Information Science, |x 1865-0937 ; |v 2390 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-91340-2 |
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| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||
| 950 | |a Springer Nature Proceedings Computer Science (SpringerNature-85344) | ||
| 950 | |a Focus Bundle Proceedings in AI Research (SpringerNature-85413) | ||