5th International Conference, AIST 2023, Delhi, India, December 26¿27, 2023, Proceedings, Part II Herausgegeben:Dev, Amita; Sharma, Arun; Agrawal, S. S.; Rani, Ritu
5th International Conference, AIST 2023, Delhi, India, December 26¿27, 2023, Proceedings, Part II Herausgegeben:Dev, Amita; Sharma, Arun; Agrawal, S. S.; Rani, Ritu
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…mehr
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.
Produktdetails
Produktdetails
Communications in Computer and Information Science 2268
.- 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.
.- 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.
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