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E-grāmata: Intelligent Information and Database Systems: 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023, Proceedings, Part I

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  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 13995
  • Izdošanas datums: 04-Sep-2023
  • Izdevniecība: Springer Verlag, Singapore
  • Valoda: eng
  • ISBN-13: 9789819958344
  • Formāts - EPUB+DRM
  • Cena: 77,31 €*
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  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 13995
  • Izdošanas datums: 04-Sep-2023
  • Izdevniecība: Springer Verlag, Singapore
  • Valoda: eng
  • ISBN-13: 9789819958344

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This two-volume set LNAI 13995 and LNAI 13996 constitutes the refereed proceedings of the 15th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2023, held in Phuket, Thailand, during July 24–26, 2023.

The 65 full papers presented in these proceedings were carefully reviewed and selected from 224 submissions. The papers of the 2 volume-set are organized in the following topical sections: Case-Based Reasoning and Machine Comprehension; Computer Vision; Data Mining and Machine Learning; Knowledge Integration and Analysis; Speech and Text Processing; and Resource Management and Optimization.

Case-Based Reasoning and Machine Comprehension.- On the improvement of
the reasoning cycle in case-based reasoning.- Exploring incompleteness in
Case-Based Reasoning: a strategy for overcoming challenge.- Leveraging both
Successes and Failures in Case-Based Reasoning for Optimal
Solutions.- Transfer Learning for Abnormal Behaviors Identification
in Examination Room from Surveillance Videos: A Case Study in Vietnam.- A
Novel Question-Context Interaction Method for Machine
Reading Comprehension.- Granular Computing to Forecast Alzheimers Disease
Distinctive Individual Development.- Computer Vision.- AdVLO: Region
selection via Attention-driven for Visual LiDAR Odometry.- Intelligent
Retrieval System on Legal Information.- VSNet: Vehicle State Classification
for Drone Image with Mosaic Augmentation and Soft-label Assignment.- Creating
High-Resolution Adversarial Images against Convolutional Neural Networks with
the Noise Blowing-Up Method.- Faster Imputation Using Singular Value
Decomposition for Sparse Data.- Combination of deep learning and ambiguity
rejection for improving image-based disease diagnosis.- Data Mining and
Machine Learning.- Towards Developing an Automated Chatbot for Predicting
Legal Case Outcomes: A Deep Learning Approach.- Fuzzy-Based Factor Evaluation
System for Momentum Overweight Trading Strategy.- Enhancing
Abnormal-Behavior-based Stock Trend Prediction Algorithm with Cost-sensitive
Learning Using Genetic Algorithms.- Leveraging Natural Language Processing in
Persuasive Marketing.- Direction of the Difference between Bayesian Model
Averaging and the Best-Fit Model on Scarce-Data Low-Correlation Churn
Prediction.- Tree-based Unified Temporal Erasable-itemset Mining.- Design
Recovery of Data Model Hidden in JSON File.- Accurate lightweight calibration
methods for mobile low-cost particulate matter sensors.- Generating music for
video games with real-time adaptation to gameplay pace.- Detecting Sensitive
Data with GANs and Fully Convolutional Networks.- An Unsupervised Deep
Learning Framework for Anomaly Detection.- Extracting top-k high utility
patterns from multi-level transaction databases.- Lightweight and Efficient
Privacy-Preserving Multimodal Representation Inference via Fully Homomorphic
Encryption.- Neural Machine Translation with Diversity-enabled Translation
Memory.- GIFT4Rec: An effective side Information Fusion Technique apply to
Graph neural network for cold-start recommendation.- A Decision Support
System for Improving Lung Cancer Prediction based on ANN.- Emotion detection
from text in social networks.- Finite Libby-Novick Beta Mixture Model: An
MML-Based Approach.- Artificial Intelligences on Automated Context-Brain
Recognition with Mobile Detection Devices.- A Novel Meta-Heuristic Search
Based on Mutual Information for Filter-Based Feature Selection.- Discovering
prevalent co-location patterns without collecting
co-location instances.- Integrating Geospatial Tools for Air Pollution
Prediction: A Synthetic City Generator Framework for Efficient Modeling and
Visualization.- Design of an Automated CNN Composition Scheme with
Lightweight Depth-Correlated Convolution for Space-Limited Applications.