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This book constitutes the refereed proceedings of the 16th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2023, held in Hyderabad, India, during July 21-22, 2023, 2022. The 47 full papers and 24 short papers included in this book were carefully reviewed and selected from 245 submissions. They were organized in topical sections as follows: digital life: an advent of transhumanism; traveling salesperson problem; and centrality measures based heuristics for perfect awareness problem in social networks.
This book constitutes the refereed proceedings of the 16th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2023, held in Hyderabad, India, during July 21-22, 2023, 2022.
The 47 full papers and 24 short papers included in this book were carefully reviewed and selected from 245 submissions. They were organized in topical sections as follows: digital life: an advent of transhumanism; traveling salesperson problem; and centrality measures based heuristics for perfect awareness problem in social networks.
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Inhaltsangabe
Digital Life: An Advent of Transhumanism.- Traveling Salesperson Problem.- Double-Stack BERT: Utilizing BERT to Extract Sentence Relation Feature for A Content-Based Filtering System.- Evaluating the Utility of GAN Generated Synthetic Tabular Data for Class Balancing and Low Resource Settings.- How Good are Transformers in Reordering?.- Automatic Differentiation Using Dual Numbers - Use Case.- On some properties of a new PoisN wavelet family.- Centrality Measures based Heuristics for Perfect Awareness Problem in Social Networks.- Re-examining Class Selectivity in Deep Convolutional Networks.- Content Based Network Representational Learning for Movie Recommendation (CNMovieRec).- Parallel and Distributed Query Processing in Attributed Networks.- Gradient Directional Predictor for Reconstructing High-Fidelity Images.- We chased COVID-19; Did we forget Measles? - public discourse and sentiment analysis on spiking Measles cases using natural language processing.- We chased COVID-19; Did we forget Measles? - public discourse and sentiment analysis on spiking Measles cases using natural language processing.- A Review on Designing of Memory Computing Architecture for Image Enhancement in AI Applications.- An Effective Technique for Recommendation System in E-Learning by User Preferences.- A Multi-modal Approach using Game Theory for Android Forensics Tool Selection.- LPCD: Incremental Approach for Dynamic Networks.- Clinical Abbreviation Disambiguation using clinical variants of Transformers architecture BERT.- Ontological Scene Graph Engineering and Reasoning over YOLO objects for creating panoramic VR content.- Incremental Classifier in the Semi Supervised Learning Environment.- Alzheimer's Detection and Prediction on MRI Scans: A Comparative Study.- Evaluating the Performance of Diverse Machine Learning Approaches in Stock Market Forecasting.- A Blockchain-driven Framework forIssuance of NFT-based Warranty to Customers on E-commerce.- Using Machine Learning Models to Predict Corporate Credit Outlook.- Visualization Recommendation for Incremental Data based on Intent.- Automating Malaria Diagnosis with XAI: Using Deep-Learning Technologies for More Accurate, Efficient, and Transparent Results.- Artificial Intelligence as a Service: Providing Integrity and Confidentiality.- Live Bidding Application: Predicting Shill Bidding Using Machine Learning.- A Novel Pixel Value Predictor Using Long Short Term Memory (LSTM) Network.- EFFICIENT TRAJECTORY CLUSTERING OF MOVEMENTS OF MOVING OBJECTS.- Node Cooperation Enforcement Scheme for enhancing Quality of Service in MANETs using Machine Learning Approach.- Interpreting Chest X-Ray Classification Models: Insights and Complexity Measures in Deep Learning.- Nuclei Segmentation Approach for Computer Aided Diagnosis.- Stock Market Intraday Trading using ReinforcementLearning.- Predicting the Droughts Using Artificial Neural Networks - A Case Study.- Applying machine learning for portfolio switching decisions.- Bark texture classification using deep transfer learning.- Dynamic Twitter Topic Summarization using Speech Acts.- Generative Adversarial Network for Augmenting Low-Dose CT Images.- Improving Software Effort Estimation with Heterogeneous Stacked Ensemble Using SMOTER over ELM and SVR base Learners.- A Deep Learning based Model to study the influence of different brain wave frequencies for the disorder of depression.- Planning Strategy of BDI Agents for Crowd Simulation.- Design and Development of Walking Monitoring System for Gait Analysis.- Stock market Investment Strategy using: Artificial Intelligence Deep-Q-Learning Network.- A survey on recent Text Summarization techniques.- Conversational AI: A study on capabilities and limitations of Dialogue Based System.- Co-Clustering based Methods and their Significance for Recommender Systems.- Machine Learning and Fuzzy Logic based Intelligent Algorithm for Energy Efficient Routing in Wireless Sensor Networks.- Sentiment Analysis of Twitter Data on aThe Agnipath Yojana'.- Pixel Value Prediction Task: Performance Comparison of Multi-Layer Perceptron and Radial Basis Function Neural Network.- A Yolo-based Deep Learning Approach for Vehicle Class Classification Using CV.- Rescheduling exams within the announced tenure by using Reinforcement Learning.- AI Based Employee Attrition Prediction Tool.- iSTIMULI: Prescriptive Stimulus Design for Eye Movement Analysis of patients with Parkinson's Disease.- A Career Guidance web application based on Multi-Intelligence using Multiclass Classification Algorithm.- Multi-dimensional STAQR Indexing Algorithm for Drone applications.- Low Light image Illumination Adjustment using Fusion of MIRNet and Deep Illumination Curves.- A HYBRID INTELLIGENT CRYPTOGRAPHY ALGORITHM FOR DISTRIBUTED BIG DATA STORAGE IN CLOUD COMPUTING SECURITY.- An Ensemble Technique to Detect Stress for Young Professional.- iAOI: An Eye Movement based Deep Learning Model to identify Areas of Interest.- Traffic Prediction in Indian Cities from Twitter Data using Deep Learning and Word Embedding Models.- Interpretable Chronic Kidney Disease Risk Prediction from Clinical Data.- Sign Language Interpretation using Deep Learning.- Redefining the World of Medical Image Processing with AI - Automatic Clinical Report Generation to Support Doctors.- Statistical analysis of the monthly costs of OPEC Crude oil using Machine Learning models.- Conversational artificial intelligence in digital healthcare: A bibliometric analysis.- Demand and Price Forecasting using Deep Learning Algorithms.- Hybrid Model Using Interacted-ARIMA and ANN Models for Efficient Forecasting.- Addressing Challenges in Healthcare Big Data Analytics.- AssessingReading Patterns of Learners through Eye Tracking Technology.- Comparison of Deep Learning Algorithms for Early Detection of Melanoma Skin Cancer on Dermoscopic and Non-Dermoscopic Images.
Digital Life: An Advent of Transhumanism.- Traveling Salesperson Problem.- Double-Stack BERT: Utilizing BERT to Extract Sentence Relation Feature for A Content-Based Filtering System.- Evaluating the Utility of GAN Generated Synthetic Tabular Data for Class Balancing and Low Resource Settings.- How Good are Transformers in Reordering?.- Automatic Differentiation Using Dual Numbers - Use Case.- On some properties of a new PoisN wavelet family.- Centrality Measures based Heuristics for Perfect Awareness Problem in Social Networks.- Re-examining Class Selectivity in Deep Convolutional Networks.- Content Based Network Representational Learning for Movie Recommendation (CNMovieRec).- Parallel and Distributed Query Processing in Attributed Networks.- Gradient Directional Predictor for Reconstructing High-Fidelity Images.- We chased COVID-19; Did we forget Measles? - public discourse and sentiment analysis on spiking Measles cases using natural language processing.- We chased COVID-19; Did we forget Measles? - public discourse and sentiment analysis on spiking Measles cases using natural language processing.- A Review on Designing of Memory Computing Architecture for Image Enhancement in AI Applications.- An Effective Technique for Recommendation System in E-Learning by User Preferences.- A Multi-modal Approach using Game Theory for Android Forensics Tool Selection.- LPCD: Incremental Approach for Dynamic Networks.- Clinical Abbreviation Disambiguation using clinical variants of Transformers architecture BERT.- Ontological Scene Graph Engineering and Reasoning over YOLO objects for creating panoramic VR content.- Incremental Classifier in the Semi Supervised Learning Environment.- Alzheimer's Detection and Prediction on MRI Scans: A Comparative Study.- Evaluating the Performance of Diverse Machine Learning Approaches in Stock Market Forecasting.- A Blockchain-driven Framework forIssuance of NFT-based Warranty to Customers on E-commerce.- Using Machine Learning Models to Predict Corporate Credit Outlook.- Visualization Recommendation for Incremental Data based on Intent.- Automating Malaria Diagnosis with XAI: Using Deep-Learning Technologies for More Accurate, Efficient, and Transparent Results.- Artificial Intelligence as a Service: Providing Integrity and Confidentiality.- Live Bidding Application: Predicting Shill Bidding Using Machine Learning.- A Novel Pixel Value Predictor Using Long Short Term Memory (LSTM) Network.- EFFICIENT TRAJECTORY CLUSTERING OF MOVEMENTS OF MOVING OBJECTS.- Node Cooperation Enforcement Scheme for enhancing Quality of Service in MANETs using Machine Learning Approach.- Interpreting Chest X-Ray Classification Models: Insights and Complexity Measures in Deep Learning.- Nuclei Segmentation Approach for Computer Aided Diagnosis.- Stock Market Intraday Trading using ReinforcementLearning.- Predicting the Droughts Using Artificial Neural Networks - A Case Study.- Applying machine learning for portfolio switching decisions.- Bark texture classification using deep transfer learning.- Dynamic Twitter Topic Summarization using Speech Acts.- Generative Adversarial Network for Augmenting Low-Dose CT Images.- Improving Software Effort Estimation with Heterogeneous Stacked Ensemble Using SMOTER over ELM and SVR base Learners.- A Deep Learning based Model to study the influence of different brain wave frequencies for the disorder of depression.- Planning Strategy of BDI Agents for Crowd Simulation.- Design and Development of Walking Monitoring System for Gait Analysis.- Stock market Investment Strategy using: Artificial Intelligence Deep-Q-Learning Network.- A survey on recent Text Summarization techniques.- Conversational AI: A study on capabilities and limitations of Dialogue Based System.- Co-Clustering based Methods and their Significance for Recommender Systems.- Machine Learning and Fuzzy Logic based Intelligent Algorithm for Energy Efficient Routing in Wireless Sensor Networks.- Sentiment Analysis of Twitter Data on aThe Agnipath Yojana'.- Pixel Value Prediction Task: Performance Comparison of Multi-Layer Perceptron and Radial Basis Function Neural Network.- A Yolo-based Deep Learning Approach for Vehicle Class Classification Using CV.- Rescheduling exams within the announced tenure by using Reinforcement Learning.- AI Based Employee Attrition Prediction Tool.- iSTIMULI: Prescriptive Stimulus Design for Eye Movement Analysis of patients with Parkinson's Disease.- A Career Guidance web application based on Multi-Intelligence using Multiclass Classification Algorithm.- Multi-dimensional STAQR Indexing Algorithm for Drone applications.- Low Light image Illumination Adjustment using Fusion of MIRNet and Deep Illumination Curves.- A HYBRID INTELLIGENT CRYPTOGRAPHY ALGORITHM FOR DISTRIBUTED BIG DATA STORAGE IN CLOUD COMPUTING SECURITY.- An Ensemble Technique to Detect Stress for Young Professional.- iAOI: An Eye Movement based Deep Learning Model to identify Areas of Interest.- Traffic Prediction in Indian Cities from Twitter Data using Deep Learning and Word Embedding Models.- Interpretable Chronic Kidney Disease Risk Prediction from Clinical Data.- Sign Language Interpretation using Deep Learning.- Redefining the World of Medical Image Processing with AI - Automatic Clinical Report Generation to Support Doctors.- Statistical analysis of the monthly costs of OPEC Crude oil using Machine Learning models.- Conversational artificial intelligence in digital healthcare: A bibliometric analysis.- Demand and Price Forecasting using Deep Learning Algorithms.- Hybrid Model Using Interacted-ARIMA and ANN Models for Efficient Forecasting.- Addressing Challenges in Healthcare Big Data Analytics.- AssessingReading Patterns of Learners through Eye Tracking Technology.- Comparison of Deep Learning Algorithms for Early Detection of Melanoma Skin Cancer on Dermoscopic and Non-Dermoscopic Images.
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