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OverviewThis 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. Full Product DetailsAuthor: Amita Dev , Arun Sharma , S.S. Agrawal , Ritu RaniPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Volume: 2268 ISBN: 9783031751660ISBN 10: 3031751663 Pages: 500 Publication Date: 17 November 2024 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Forthcoming Availability: Not yet available  This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of Contents.- 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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