Titlebook: Intelligent Information and Database Systems; 15th Asian Conferenc Ngoc Thanh Nguyen,Siridech Boonsang,Ali Selamat Conference proceedings 2

商店街

On the?Improvement of?the?Reasoning Cycle in?Case-Based Reasoningeuse of existing experience that includes solutions to problems or mechanisms to derive these solutions. Unfortunately, existing CBR systems are lacking in generality as the adaptation process is usually driven by the application domain and heavily based on the domain expert’s knowledge. Moreover, e

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Devastate

Leveraging both?Successes and?Failures in?Case-Based Reasoning for?Optimal Solutionseved to be appropriate for the corresponding problems. However, in practice, the case base could hold failed cases, resulting from an earlier adaptation process but discarded by the revision process. Not considering failed cases would be missing an interesting opportunity to learn more knowledge for

OUTRE

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A Novel Question-Context Interaction Method for?Machine Reading Comprehensioncontexts. In Question-Answering (QA) tasks, most existing works rely on the powerful encoder of pre-trained language models (PrLM) in order to represent word/subword embeddings for extracting the answer. In this study, we present a novel method for enriching the context representation by exploiting

GIBE

Granular Computing to Forecast Alzheimer’s Disease Distinctive Individual Developmento suits obtained from patients in different AD stages. .Due to the aging population, the prevalence of Alzheimer’s Disease (AD) related dementia is fast increasing. That is already a worldwide problem. AD-related neurodegeneration starts several decades before the first symptoms and AD biomarkers we

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AdVLO: Region Selection via?Attention-Driven for?Visual LiDAR Odometryent that tries to calculate the translations and rotations between frames of the sensors attached to the vehicle on the fly. Visual-LiDAR Odometry (VLO) is a prominent approach that has advantages in the sensor costs of cameras and robustness to environmental changes of LiDAR sensors. In general, on

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Intelligent Retrieval System on?Legal Informationallow users to search for legal information more efficiently and accurately. This paper investigates retrieval systems, their technological advancements, and their impact on legal research. The experimental results show that the proposed method is emerging to apply for analysis queries of practical

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VSNet: Vehicle State Classification for?Drone Image with?Mosaic Augmentation and?Soft-Label Assignmetional Neural Networks (CNNs). Autonomous driving requires understanding diverse information and collecting data from heterogeneous environments to generalize classification models. However, the patterns of feature maps extracted through convolution layers in drone image data, which encompass assort

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