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Recent Challenges in Intelligent Information and Database Systems = 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Recent Challenges in Intelligent Information and Database Systems/ edited by Edward Szczerbicki, Krystian Wojtkiewicz, Sinh Van Nguyen, Marcin Pietranik, Marek Krótkiewicz.
Reminder of title:	14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings /
other author:	Szczerbicki, Edward.
Description:	XXVIII, 765 p. 303 illus., 234 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-981-19-8234-7
ISBN:	9789811982347

Recent Challenges in Intelligent Information and Database Systems = 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings /
Recent Challenges in Intelligent Information and Database Systems14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings /[electronic resource] :edited by Edward Szczerbicki, Krystian Wojtkiewicz, Sinh Van Nguyen, Marcin Pietranik, Marek Krótkiewicz. - 1st ed. 2022. - XXVIII, 765 p. 303 illus., 234 illus. in color.online resource. - Communications in Computer and Information Science,17161865-0937 ;. - Communications in Computer and Information Science,498.

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.

This book constitutes the refereed proceedings of the 14th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2022, held in Ho Chi Minh City, Vietnam, in November 2022. This volume contains 60 peer-reviewed papers selected for poster presentation from 406 submissions. Papers included in this volume cover the following topics: data mining and machine learning methods, advanced data mining techniques and applications, intelligent and contextual systems, natural language processing, network systems and applications, computational imaging and vision, decision support and control systems, and data modeling and processing for industry 4.0.

ISBN: 9789811982347

Standard No.: 10.1007/978-981-19-8234-7doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Recent Challenges in Intelligent Information and Database Systems = 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings /
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