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Artificial intelligence and speech technology5th international conference, AIST 2023, Delhi, India, December 26-27, 2023, proceedings.Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence and speech technologyedited by Amita Dev ... [et al.].
Reminder of title:	5th international conference, AIST 2023, Delhi, India, December 26-27, 2023, proceedings.
other author:	Dev, Amita.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xx, 473 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data miningCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-75167-7
ISBN:	9783031751677$q(electronic bk.)

Artificial intelligence and speech technology5th international conference, AIST 2023, Delhi, India, December 26-27, 2023, proceedings.Part II /
Artificial intelligence and speech technology5th international conference, AIST 2023, Delhi, India, December 26-27, 2023, proceedings.Part II /[electronic resource] :edited by Amita Dev ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xx, 473 p. :ill., digital ;24 cm. - Communications in computer and information science,22681865-0937 ;. - Communications in computer and information science ;229..

-- Machine Learning Usage for Knee Condition: Osteoarthritis and TKA, using Image Processing Among Medical Patients. -- Machine Learning Techniques to Study: Medical and Biomedical Signal Analysis. -- N-BEATS & Temporal Fusion Transformer based Surface Temperature Prediction and Forecasting for Realizing Global Warming Trends. -- Tuberculosis Detection and Classification in Chest X-ray Images Using Optimized CNN Architecture. -- Performance Evaluation of Machine Learning Algorithms for Predicting Solar radiation in Chennai Province. -- Fault Predictions based on base learnings and mean weighted score using Machine Learning Techniques. -- A Journey through Multifaceted Data in Machine Learning Predictions on Financial Viability. -- Enhancing Mint Plant Disease Detection Accuracy through Deep Reinforcement Learning with YOLO Algorithm. -- Neural Network Based Employability Index for IT Graduates. -- Ensuring Trustworthy Elections using IoT-Enabled Blockchain EVM Voting Mechanism with Aadhaar Card-Based Face Verification. -- Data Mining Based Heart Disease Prediction using Hybrid Optimization Technique of Derived Features. -- Efficient Detection and Multi-level Classification of Tomato Plant Leaves using fused deep and hand-crafted features and LSTM-ANFIS. -- Unveiling the Enigma: Sudden Cardiac Arrest among Youth and Uncovering Underlying Causes: A Data Analysis Study. -- Using Encoder Models to Predict Ratings Using Flipkart Reviews. -- Diagnosis of Alzheimer Disease using Machine Learning Algorithms. -- Detecting Image-based Fake News with Neural Sleuths. -- Background Subtraction Model with Advance GMM in Dynamic Background. -- Video Summarization using Firefly Algorithm. -- An Image Processing-Based Tomato Leaf Disease Prediction Using Deep CNN. -- Investigation on Existing Blockchain based Architecture, AI/ML driven for Boosting IoT Security & Privacy. -- Machine Learning- Based Estimation of Caloric Expenditure. -- FarmScan: Smart Rotten Fruit and Vegetable Detector. -- Closing the Data Divide in COVID-19 X-ray Datasets: Advancing Diagnosis through Stable Diffusion-based Synthetic Image Generation. -- Machine-Learning Algorithms for Predicting Cardiac Arrhythmias. -- Natural Language Generation (NLG) with Reinforcement Learning (RL). -- i-BMD: AI-based Opportunistic Screening for Osteoporosis on Abdominal CT using Deep Learning. -- Machine Learning in IoT: An In-depth Dataset Analysis based on Attack Detection. -- Investigation of satellite data for monitoring air quality over remote sensing technology. -- Analysing Social Media Data for emotion detection and sentiment analysis. -- A Comprehensive Approach to AI-Enabled Diagnosis of Lung Diseases: Utilizing Pretrained Models for Fibrosis, Tuberculosis, and Covid-19 Detection. -- Campus Exploration: Figma-Driven UI Design for a Campus Tour App. -- Predicting Startup Exit Strategies with Ensemble Machine Learning. -- An Inclusive Analysis on Deep Learning hinged Malware Detection Techniques. -- Advances in Text Summarization Techniques: A Comprehensive Review and Future Prospects. -- Multiple Object Detection and Tracking Using DeepSORT. -- An Ensembled Travel Recommender Model Using Autoencoder and Machine Learning Algorithms. -- Future-Proofing Careers: The AI Era and the Imperative of Reskilling.

This two-volume set, CCIS 2267 and 2268, constitutes the refereed proceedings of 5th International Conference on Artificial Intelligence and Speech Technology, AIST 2023, held in Delhi, India, during December 26-27, 2023. The 71 papers presented in two volumes were carefully reviewed and selected from 235 submissions. Part I focuses on Speech Technology using AI and Part II focuses on AI innovations for CV and NLP. These volumes are organized in 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; Applications of Machine Learning and Deep Learning.

ISBN: 9783031751677$q(electronic bk.)

Standard No.: 10.1007/978-3-031-75167-7doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Artificial intelligence and speech technology5th international conference, AIST 2023, Delhi, India, December 26-27, 2023, proceedings.Part II /
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520 $a This two-volume set, CCIS 2267 and 2268, constitutes the refereed proceedings of 5th International Conference on Artificial Intelligence and Speech Technology, AIST 2023, held in Delhi, India, during December 26-27, 2023. The 71 papers presented in two volumes were carefully reviewed and selected from 235 submissions. Part I focuses on Speech Technology using AI and Part II focuses on AI innovations for CV and NLP. These volumes are organized in 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; Applications of Machine Learning and Deep Learning.
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