Full Description
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.
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.
