Encomium
发表于 2025-3-21 19:37:17
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CHOP
发表于 2025-3-21 21:36:41
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
helper-T-cells
发表于 2025-3-22 01:00:32
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
Amorous
发表于 2025-3-22 05:59:06
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COMA
发表于 2025-3-22 10:37:50
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Malcontent
发表于 2025-3-22 13:43:04
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Homocystinuria
发表于 2025-3-22 18:49:13
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粗糙滥制
发表于 2025-3-23 00:49:13
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
hieroglyphic
发表于 2025-3-23 01:36:40
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
发表于 2025-3-23 06:43:33
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