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Multi-disciplinary Trends in Artificial Intelligence [[electronic resource] ] : 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings / / edited by Raghava Morusupalli, Teja Santosh Dandibhotla, Vani Vathsala Atluri, David Windridge, Pawan Lingras, Venkateswara Rao Komati
| Multi-disciplinary Trends in Artificial Intelligence [[electronic resource] ] : 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings / / edited by Raghava Morusupalli, Teja Santosh Dandibhotla, Vani Vathsala Atluri, David Windridge, Pawan Lingras, Venkateswara Rao Komati |
| Autore | Morusupalli Raghava |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (810 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
DandibhotlaTeja Santosh
AtluriVani Vathsala WindridgeDavid LingrasPawan KomatiVenkateswara Rao |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN | 3-031-36402-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 for Issuance 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 Reinforcement Learning -- 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 ˆaThe 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 -- Assessing Reading 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. |
| Record Nr. | UNISA-996538665703316 |
Morusupalli Raghava
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Multi-disciplinary Trends in Artificial Intelligence : 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings / / edited by Raghava Morusupalli, Teja Santosh Dandibhotla, Vani Vathsala Atluri, David Windridge, Pawan Lingras, Venkateswara Rao Komati
| Multi-disciplinary Trends in Artificial Intelligence : 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings / / edited by Raghava Morusupalli, Teja Santosh Dandibhotla, Vani Vathsala Atluri, David Windridge, Pawan Lingras, Venkateswara Rao Komati |
| Autore | Morusupalli Raghava |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (810 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
DandibhotlaTeja Santosh
AtluriVani Vathsala WindridgeDavid LingrasPawan KomatiVenkateswara Rao |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN |
9783031364020
3031364023 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 for Issuance 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 Reinforcement Learning -- 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 ˆaThe 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 -- Assessing Reading 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. |
| Record Nr. | UNINA-9910746090303321 |
|
Morusupalli Raghava
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||