Recent Challenges in Intelligent Information and Database Systems

Recent Challenges in Intelligent Information and Database Systems

14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings

Nguyen, Sinh Van; Wojtkiewicz, Krystian; Krotkiewicz, Marek; Pietranik, Marcin; Szczerbicki, Edward

Springer Verlag, Singapore

11/2022

765

Mole

Inglês

9789811982330

15 a 20 dias

1199

Descrição não disponível.
Music Emotion Recognition Based on Term Frequency and Pattern Entropy.- Risk Assessment of Acute Kidney Disease and Chronic Kidney Disease for in-Hospital Patients with Acute Kidney Injury.- A multi-label classification framework using the covering based decision table.- Identifying non-intuitive Relationships within Returns Data of a Furniture Online-Shop using Temporal Data Mining.- Forecasting cryptocurrency price fluctuations with Granger causality analysis.- Predicting metastasis-free survival using clinical data in non-small cell lung cancer.- Utility Driven Job Selection Problem on Road Networks.- Analysis of dynamics of emergence and decline of scientic ideas based on optimistic and pessimistic fuzzy aggregation norms.- Data-driven Resilient Supply Management Supported by Demand Forecasting.- Hybrid Boustrophedon and Partition Tree Group Algorithm for Coverage Path Planning Problem with Energy Constraints.- CRITICAL FACTORS OF CUSTOMERS LOYALTY IN E-COMMERCE .- Improving Autoencoders Performance for Hyperspectral Unmixing using Clustering.- Gated 3D-CNN for Action Recognition.- DACE: Did I catch you at a good time?.- DeepDream algorithm for data augmentation in a neural network ensemble applied to multiclass image classification.- Clinically-relevant summarisation of cataract surgery videos using deep learning.- En-SeqGAN: An Efficient Sequence Generation Model for Deceiving URL Classifiers.- Keyword Extraction from Short Texts with a Text-To-Text Transfer Transformer.- Expandable-Convolutional-Block Neural Inference with Spatial-Fused Multi-Resolution Features and Terse Convolution for IoT-based Intelligent Automated Systems.- Traffic management in Smart City.- Door-to-door sampling service with drone.- Design of IoT based Patient Health Monitoring System.- A Novel Integrating Approach Between Graph Neural Network and Complex Representation for Link Prediction in Knowledge Graph.- Schema formalism for semantic summary based on labeled graph from heterogeneous data.- Agent Based Model of Elementary School Group Learning.- Automated late fusion of low level descriptors for feature extraction and texture classification using data augmentation.- LDA+: An Extended LDA Model for Topic Hierarchy and Discovery.- P-FCloHUS: A Parallel Approach For Mining Frequent Closed High-Utility Sequences On Multi-core Processors.- Auto Machine Learning-Based Approach for Source Printer Identification.- Machine Learning to Diagnose Neurodegenerative Multiple Sclerosis Disease.- Supervised learning use to acquire knowledge from 2D analytic geometry problems.- Predictive modelling of diseases based on a network and machine learning approach.- Individual Source Camera Identification with Convolutional Neural Networks.- dMITP-Miner: An Efficient Method for Mining Maximal Inter-transaction Patterns.- Development Kazakh-Turkish machine translation on the base of complete set of endings model.- Shapley Additive Explanations for Text Classification and Sentiment Analysis of Internet Movie Database.- Exploring Word Embedding For Arabic Sentiment Analysis.- Exploring Retriever-Reader Approaches in Question-Answering on Scientific Documents.- Exploring the effect of vehicle appearance and motion for natural language-based vehicle retrieval.- Fine-Tuning OCR Error Detection and Correction in a Polish Corpus of Scientific Abstracts.- Error Investigation of Pre-trained BERTology Models on Vietnamese Natural Language Inference.- EfficientRec: An unlimited user scale recommendation system based on clustering and user's interaction embedding profile.- Machine Learning-based recommender system for Tweeting Factory in Industry 5.0 paradigm.- The problem of detecting boxers in the boxing ring.- Towards Communication-efficient Distributed Background Subtraction.- Fusing Deep Learning with Support Vector Machines to Detect COVID-19 in X-Ray Images.- Image-based Contextual Pill Recognition with Medical Knowledge Graph Assistance.- Scheduling Parallel Data Transfers in Multi-tiered Persistent Storage.- A minimal model of cancer growth, metastasis and treatment.- ITCareerBot: A Personalized Career Counseling Chatbot.- Cost-Oriented Candidate Screening Using Machine Learning Algorithms.- G-Fake: Tell me how it is shared and I shall tell you if it is fake.- Explaining Predictive Scheduling in Cloud.- An Empirical Comparison of Steganography and Steganalysis Solutions Using Brain-Computer Interface and Artificial Intelligence for EEG signal analysis.- A Legal Information Retrieval System for Statute Law .- An Efficient Multi-view Facial Expression Classifier Implementing on Edge Device.- Impact of Design Decisions on Performance of Embarrassingly Parallel .NET Database Application.
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artificial intelligence;computational linguistics;computer vision;correlation analysis;data mining;data security;databases;Human-Computer Interaction (HCI);image analysis;image processing;information retrieval;machine learning;Natural Language Processing (NLP);natural languages;neural networks;semantics;signal processing;user interfaces