5th Workshop on "5G-Putting Intelligence to the Network Edge" (5G-PINE 2020).- A Framework to Support the 5G Densification.- A new approach to 5G and MEC integration.- Business Aspects of the Neutral Host Model: The Immersive Video Services Case.- Combined 5G-based Video Production and Distribution in a Crowded Stadium Event.- Dynamic Network Slicing: Challenges and Opportunities.- Dynamic Resource Allocation and Computation Offloading for Edge Computing System.- Intelligent orchestration of end-to-end network slices for the allocation of mission critical services over NFV architectures.- On the Prediction of Future User Connections Based on Historical Records in Wireless Networks.- Programmable edge-to-cloud virtualization for 5G media industry: The 5G-MEDIA Approach.- Protocol Deployment for Employing Honeypot-as-a-Service.- Threat Landscape of Next Generation IoT-enabled Smart Grids.- Towards a Smart Port: The Role of the Telecom Industry.- 9th Mining Humanistic Data Workshop (MHDW 2020).- A Graph-based Extension for the Set-based Model Implementing Algorithms based on Important Nodes.- A Sentiment-Based Hotel Review Summarization using Machine Learning Techniques.- An advanced deep learning model for short-term forecasting U.S. natural gas price and movement.- Fake News Detection Regarding the Hong Kong Events from Tweets.- Improving Movie Recommendation Systems Filtering by Exploiting User-based Reviews.- The Converging Triangle Of Cultural Content, Cognitive Science, and Behavioral Economics.- Application and Algorithm: Maximal Motif Discovery for Biological Data in a Sliding Window.- Fingerprints Recognition System-Based on Mobile Device Identification using Circular String Pattern Matching Techniques.- Mining and Analysis of Air Quality data to aid Climate Change.
Описание: This book constitutes the refereed proceedings of the IFIP WG 8.2, 9.1, 9.4 Joint Working Conference on the Future of Digital Work: The Challenge of Inequality, IFIPJWC 2020, which was supposed to be held in Hyderabad, India, in December 2020, but was held virtually due to the COVID-19 pandemic.
Описание: This book constitutes the refereed proceedings of the 34th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2020, held in Regensburg, Germany, in June 2020.*The 14 full papers and 8 short papers presented were carefully reviewed and selected from 39 submissions.
Classification.- An Adaptive Approach on Credit Card Fraud Detection using Transaction Aggregation and Word Embeddings.- Boosted Ensemble Learning for Anomaly Detection in 5G RAN.- Machine Learning for Cognitive Load Classification - a Case Study on Contact-free Approach.- Real-time prediction of online shoppers' purchasing intention using random forest.- Using Classification for Traffic Prediction in Smart Cities.- Using Twitter to Predict Chart Position for Songs.- Α Benchmarking of IBM, Google and Wit Automatic Speech Recognition Systems.- Clustering - Unsupervised Learning - Analytics.- A two-levels data anonymization approach.- An innovative graph-based approach to advance feature selection from multiple textual documents.- k-means Cluster Shape Implications.- Manifold learning for innovation funding: identification of potential funding recipients.- Network aggregation to enhance results derived from multiple analytics.- PolicyCLOUD: Analytics as a Service facilitating efficient data-driven public policy management.- Demand Forecasting of Short Life Cycle Products using Data Mining Techniques.- Image Processing.- Arbitrary Scale Super-Resolution for Brain MRI Images.- Knowledge-based fusion for image tampering localization.- Transfer Learning using Convolutional Neural Network Architectures for Brain Tumor Classification from MRI Images.- Learning Algorithms.- A Novel Learning Automata-based Strategy to Generate Melodies from Chordal Inputs.- Graph Neural Networks to Advance Anticancer Drug Design.- Optimizing Self-Organizing Lists-on-Lists using Transitivity and Pursuit-Enhanced Object Partitioning.- Task-Projected Hyperdimensional Computing for Multi-Task Learning.- Neural Network Modeling.- Cross-domain Authorship Attribution Using Pre-trained Language Models.- Indoor Localization with Multi-Objective selection of Radiomap Models.- STDP Plasticity in TRN within Hierarchical Spike Timing Model of Visual Information Processing.- Tensor-based CUDA Optimization for ANN Inferencing using Parallel Acceleration on Embedded GPU.- The Random Neural Network in Price Predictions.- Object Tracking - Object Detection Systems.- Joint Multi-Object Detection and Segmentation from an Untrimmed Video.- Robust 3D Detection in Traffic Scenario with Tracking-based Coupling System.- Ontologies - AI.- Automated MeSH Indexing of Biomedical Literature using Contextualized Word Representations.- Knowledge-based Management and Reasoning on Cultural and Natural Touristic Routes.- Ontological Foundations of Modelling Security Policies for Logical Analytics.- RDF reasoning on large ontologies: a study on cultural heritage and Wikidata.- Sentiment Analysis - Recommender Systems.- A deep learning approach to aspect-based sentiment prediction.- On the reusability of sentiment analysis datasets in real-life applications.- Opinion Mining of Consumer Reviews Using Deep Neural Networks with Word-Sentiment Associations.- Sentiment Analysis on Movie Scripts and Reviews: Utilizing sentiment scores in rating prediction.- The MuseLearn platform: personalized content for museum visitors assisted by vision-based recognition and 3D pose estimation of exhibits.- Promoting Diversity in Content Based Recommendation using Feature Weighting and LSH.
Описание: AI Ethics - Law.- The Ethos of Artificial Intelligence as a Legal Personality in a Globalized Space: Examining the Need to Overhaul the Post-Liberal Order.- Trustworthy AI Needs Unbiased Dictators!.- AI Constraints.- An Introduction of FD-Complete Constraints.- Backward-Forward Sequence Generative Network for Multiple Lexical Constraints.- Deep Learning - LSTM.- Deep Echo State Networks in Industrial Applications.- Deepbots: A Webots-based Deep Reinforcement Learning Framework for Robotics.- Innovative Deep Neural Network Fusion for Pairwise Translation Evaluation.- Introducing an edge-native deep learning platform for exergames.- Investigating the problem of cryptocurrency price prediction - A deep learning approach.- Regularized Evolution for Macro Neural Architecture Search.- Using Multimodal Contextual Process Information for the Supervised Detection of Connector Lock Events.- A machine learning model to detect speech and reading pathologies.- Forecasting Hazard Level Of Air Pollutants Using LSTM's.- Fuzzy Algebra - Fuzzy Systems.- Hypotheses tests using non-asymptotic fuzzy estimators and fuzzy critical values.- Preservation of the Exchange Principle via Lattice Operations on (S, N)- Implications.- Versatile Internet of Things for Agriculture: An eXplainable AI Approach.- Machine Learning.- Acoustic Resonance Testing of Glass IV Bottles.- AI based Real-Time Signal Reconstruction for Wind Farm with SCADA Sensor Failure.- Autonomous Navigation for Drone Swarms in GPS-Denied Environments using Structured Learning.- Chemical Laboratories 4.0: A Two-stage Machine Learning System for Predicting the Arrival of Samples.- Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features.- Real-time Surf Manoeuvres' Detection Using Smartphones' Inertial Sensors.- SDN-enabled IoT Anomaly Detection using Ensemble Learning.- Harnessing Social Interactions on Twitter for Smart Transportation Using Machine Learning.- Medical - Health System.- An intelligent cloud-based platform for effective monitoring of patients with psychotic disorders.- Applying Deep Learning to Predicting Dementia and Mild Cognitive Impairment.- Bridging the Gap between AI and Healthcare Sides: Towards Developing Clinically Relevant AI-Powered Diagnosis Systems.- Know Yourself: An Adaptive Causal Network Model for Therapeutic Intervention for Regaining Cognitive Control.- Multi-omics data and analytics integration in ovarian cancer.- Overlap-based Undersampling Method for Classification of Imbalanced Medical Datasets.- Natural Language.- An Overview of Chatbot Technology.- Applying an Intelligent Personal Agent on a Smart Home using a Novel Dialogue Generator.- Exploring NLP and Information Extraction to jointly address Question Generation and Answering.- Hong Kong Protests: Using Natural Language Processing for Fake News Detection on Twitter.- On the Learnability of Concepts With Applications to Comparing Word EmbeddingAlgorithms.- Towards fashion recommendation: An AI system for clothing data retrieval and analysis.- Greek Lyrics Generation.
Classification.- An Adaptive Approach on Credit Card Fraud Detection using Transaction Aggregation and Word Embeddings.- Boosted Ensemble Learning for Anomaly Detection in 5G RAN.- Machine Learning for Cognitive Load Classification - a Case Study on Contact-free Approach.- Real-time prediction of online shoppers' purchasing intention using random forest.- Using Classification for Traffic Prediction in Smart Cities.- Using Twitter to Predict Chart Position for Songs.- Α Benchmarking of IBM, Google and Wit Automatic Speech Recognition Systems.- Clustering - Unsupervised Learning - Analytics.- A two-levels data anonymization approach.- An innovative graph-based approach to advance feature selection from multiple textual documents.- k-means Cluster Shape Implications.- Manifold learning for innovation funding: identification of potential funding recipients.- Network aggregation to enhance results derived from multiple analytics.- PolicyCLOUD: Analytics as a Service facilitating efficient data-driven public policy management.- Demand Forecasting of Short Life Cycle Products using Data Mining Techniques.- Image Processing.- Arbitrary Scale Super-Resolution for Brain MRI Images.- Knowledge-based fusion for image tampering localization.- Transfer Learning using Convolutional Neural Network Architectures for Brain Tumor Classification from MRI Images.- Learning Algorithms.- A Novel Learning Automata-based Strategy to Generate Melodies from Chordal Inputs.- Graph Neural Networks to Advance Anticancer Drug Design.- Optimizing Self-Organizing Lists-on-Lists using Transitivity and Pursuit-Enhanced Object Partitioning.- Task-Projected Hyperdimensional Computing for Multi-Task Learning.- Neural Network Modeling.- Cross-domain Authorship Attribution Using Pre-trained Language Models.- Indoor Localization with Multi-Objective selection of Radiomap Models.- STDP Plasticity in TRN within Hierarchical Spike Timing Model of Visual Information Processing.- Tensor-based CUDA Optimization for ANN Inferencing using Parallel Acceleration on Embedded GPU.- The Random Neural Network in Price Predictions.- Object Tracking - Object Detection Systems.- Joint Multi-Object Detection and Segmentation from an Untrimmed Video.- Robust 3D Detection in Traffic Scenario with Tracking-based Coupling System.- Ontologies - AI.- Automated MeSH Indexing of Biomedical Literature using Contextualized Word Representations.- Knowledge-based Management and Reasoning on Cultural and Natural Touristic Routes.- Ontological Foundations of Modelling Security Policies for Logical Analytics.- RDF reasoning on large ontologies: a study on cultural heritage and Wikidata.- Sentiment Analysis - Recommender Systems.- A deep learning approach to aspect-based sentiment prediction.- On the reusability of sentiment analysis datasets in real-life applications.- Opinion Mining of Consumer Reviews Using Deep Neural Networks with Word-Sentiment Associations.- Sentiment Analysis on Movie Scripts and Reviews: Utilizing sentiment scores in rating prediction.- The MuseLearn platform: personalized content for museum visitors assisted by vision-based recognition and 3D pose estimation of exhibits.- Promoting Diversity in Content Based Recommendation using Feature Weighting and LSH.
5th Workshop on "5G-Putting Intelligence to the Network Edge" (5G-PINE 2020).- A Framework to Support the 5G Densification.- A new approach to 5G and MEC integration.- Business Aspects of the Neutral Host Model: The Immersive Video Services Case.- Combined 5G-based Video Production and Distribution in a Crowded Stadium Event.- Dynamic Network Slicing: Challenges and Opportunities.- Dynamic Resource Allocation and Computation Offloading for Edge Computing System.- Intelligent orchestration of end-to-end network slices for the allocation of mission critical services over NFV architectures.- On the Prediction of Future User Connections Based on Historical Records in Wireless Networks.- Programmable edge-to-cloud virtualization for 5G media industry: The 5G-MEDIA Approach.- Protocol Deployment for Employing Honeypot-as-a-Service.- Threat Landscape of Next Generation IoT-enabled Smart Grids.- Towards a Smart Port: The Role of the Telecom Industry.- 9th Mining Humanistic Data Workshop (MHDW 2020).- A Graph-based Extension for the Set-based Model Implementing Algorithms based on Important Nodes.- A Sentiment-Based Hotel Review Summarization using Machine Learning Techniques.- An advanced deep learning model for short-term forecasting U.S. natural gas price and movement.- Fake News Detection Regarding the Hong Kong Events from Tweets.- Improving Movie Recommendation Systems Filtering by Exploiting User-based Reviews.- The Converging Triangle Of Cultural Content, Cognitive Science, and Behavioral Economics.- Application and Algorithm: Maximal Motif Discovery for Biological Data in a Sliding Window.- Fingerprints Recognition System-Based on Mobile Device Identification using Circular String Pattern Matching Techniques.- Mining and Analysis of Air Quality data to aid Climate Change.
Описание: This book constitutes the refereed proceedings of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, held virtually and in Hersonissos, Crete, Greece, in June 2021. The 50 full papers and 11 short papers presented were carefully reviewed and selected from 113 submissions.
Описание: 6th Workshop on "5G - Putting Intelligence to the Network Edge" (5G-PINE 2021).- 5G Communications as "Enabler" for Smart Power Grids: The Case of the Smart5Grid Project.- 5G-VICTORI: Future Railway Communications Requirements Driving 5G Deployments in Railways.- 5G-VICTORI: Optimizing Media Streaming in Mobile Environments using mmWave, NBMP and 5G Edge Computing.- A Novel Architectural Approach for the Provision of Scalable and Automated Network Slice Management, in 5G and Beyond.- A prototype 5G/IoT implementation for transforming a legacy facility to a Smart Factory.- Advanced first responders' services by using FASTER project Architectural Solution.- High mobility 5G services for vertical industries - network operator's view.- Machine Learning-Based, Networking and Computing Infrastructure Resource Management.- Power Control in 5G Heterogeneous Cells considering User Demands using Deep Reinforcement Learning.- The Challenge of Security Breaches in the Era of 5G Networking.- Top Challenges in 5G Densification.- TYPHON: Hybrid Data Lakes for Real-time Big Data Analytics - An Evaluation Framework in the Telecom Industry.- V2X Communications for the Support of GLOSA and Intelligent Intersection Applications.- Artificial Intelligence in Biomedical Engineering and Informatics Workshop (AI-BIO 2021).- A Machine Learning Approach for Recognition of Elders' Activities using Passive Sensors.- Analyzing Collective Knowledge towards Public Health Policy Making.- Evaluating mental patients utilizing video analysis of facial expressions.- An inception-based architecture for haemodialysis time series classification.- Workshop on Defense Applications of AI (DAAI 2021).- A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial Attacks.- A Multimodal AI-leveraged Counter-UAV Framework for Diverse Environments.- Cyber attack detection and trust management toolkit for defence-related microgrids.- On the potential of SDN enabled network deployment in tactical environments.- Distributed AI for Resource - Constrained Platforms Workshop (DARE 2021).- A first sensitivity study of multi-object multi-camera tracking performance.- An Initial Analysis of the Shortcomings of Conventional AI and the Benefits of Distributed AI Approaches in Industrial Use Cases.- Distributed data compression for edge devices.- PFilter: Privacy-aware and secure data filtering at the edge for distributed edge analytics.- Towards a Distributed Learning Architecture for Securing ISP Home Customers.- Energy Efficiency and Artificial Intelligence Workshop (ΕΕΑΙ 2021).- A Recommendation Specific Human Activity Recognition Dataset with Mobile Device's Sensor Data.- Explainable needn't be (much) less accurate: evaluating an explainable AI dashboard for energy forecasting.- Improving Energy Efficiency in Tertiary Buildings through user-driven Recommendations delivered on optimal Micro-moments.- Semantic modeling of trustworthy IoT entities in energy-efficient cultural spaces.- Short Term Net Imbalance Volume Forecasting through Machine and Deep Learning: A UK case study.- 10th Mining Humanistic Data Workshop (MHDW 2021).- Community Detection Algorithms for Cultural and Natural Heritage Data in Social Networks.- Forecasting Air Flight Delays and Enabling Smart Airport Services in Apache Spark.- Movie Recommendation System based on Character Graph Embeddings.- Privacy-Preserving Text Labelling Through Crowdsourcing.- Recognition of epidemic cases in social web texts.- Active Bagging Ensemble Selection.- Applying Machine Learning to Predict Whether Learners will Start a MOOC after Initial Registration.- Self-supervised approach for Urban Tree Recognition on Aerial Images.- Visitor behavior analysis for an ancient Greek technology exhibition.
Описание: This book constitutes the refereed post-conference proceedings of the 4th International Conference on Intelligence Science, ICIS 2020, held in Durgapur, India, in February 2021 (originally November 2020). The 23 full papers and 4 short papers presented were carefully reviewed and selected from 42 submissions.
Описание: This book constitutes the refereed post-conference proceedings of the Second IFIP International Cross-Domain Conference on Internet of Things, IFIPIoT 2019, held in Tampa, USA, in October/ November 2019. The 11 full papers presented were carefully reviewed and selected from 22 submissions.
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