Titlebook: Intelligent Information and Database Systems; 16th Asian Conferenc Ngoc Thanh Nguyen,Richard Chbeir,Krystian Wojtkiew Conference proceeding

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书目名称Intelligent Information and Database Systems影响因子(影响力)




书目名称Intelligent Information and Database Systems影响因子(影响力)学科排名




书目名称Intelligent Information and Database Systems网络公开度




书目名称Intelligent Information and Database Systems网络公开度学科排名




书目名称Intelligent Information and Database Systems被引频次




书目名称Intelligent Information and Database Systems被引频次学科排名




书目名称Intelligent Information and Database Systems年度引用




书目名称Intelligent Information and Database Systems年度引用学科排名




书目名称Intelligent Information and Database Systems读者反馈




书目名称Intelligent Information and Database Systems读者反馈学科排名

CHOP

Energy Measurement System for Data Lake: An Initial Approachaccess, governance, and discoverability. However, the energy consumption of data operations, a non-trivial issue for eco-conscious organizations, is currently overlooked. Furthermore, existing monitoring tools do not adequately address the complexities of Data Lake architectures..This paper presents

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CDER: Collaborative Evidence Retrieval for Document-Level Relation Extraction, crucial for precise entity pair relationships identification, enhance focus on essential text segments, improving DocRE performance. However, existing evidence retrieval systems often overlook the collaborative nature among semantically similar entity pairs in the same document, hindering the effe

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COMA

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粗糙滥制

Oral Diseases Recognition Based on Photographic Images and Dental Decay Diagnosisment. This work provides a new dataset of photographic images for six different types of oral diseases. The dataset is gathered and labeled by professional medical operators in the dentistry field. We use the collected dataset to train a binary classifier to determine whether the region of interests

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Multifaceted ECG Feature Extraction for AFIB Detection: Using Traditional Machine Learning Technique-lead ECG, a standard in cardiac monitoring, are exploit to extract meaningful patterns indicative of AFIB. Unlike the prevalent deep learning methods which often require significant computational resources, this study leverages traditional machine learning techniques. This choice is motivated by th

Pillory

Automation of the Analysis of Medical Interviews to Improve Diagnoses Using NLP for Medicine an innovative approach influencing the diagnostic process and patient care. This article introduces a novel algorithm that leverages NLP to automate the analysis of medical texts, enabling the effective classification of patient symptoms and the identification of relationships between these element