Editorial: Interdisciplinary approaches to complex systems: highlights from FRCCS 2023/24 [0.03%]
编者按：复杂系统的跨学科方法：来自FRCCS 2023/24的亮点
Roberto Interdonato,Hocine Cherifi
Roberto Interdonato
Automated road surface classification in OpenStreetMap using MaskCNN and aerial imagery [0.03%]
基于MaskCNN和航拍图像的OpenStreetMap自动路面分类技术
R Parvathi,V Pattabiraman,Nancy Saxena et al.
R Parvathi et al.
Introduction: OpenStreetMap (OSM) road surface data is critical for navigation, infrastructure monitoring, and urban planning but is often incomplete or inconsistent. This study addresses the need for automated validation...
Artificial intelligence for surgical outcome prediction in glaucoma: a systematic review [0.03%]
青光眼手术结果预测的人工智能系统：一项系统性回顾
Zeena Kailani,Lauren Kim,Joshua Bierbrier et al.
Zeena Kailani et al.
Introduction: Glaucoma is a leading cause of irreversible blindness, and its rising global prevalence has led to a significant increase in glaucoma surgeries. However, predicting postoperative outcomes remains challenging...
A fashion product recommendation based on adaptive VPKNN-NET algorithm without fuzzy similar image [0.03%]
一种自适应VPKNN-NET算法的去糊相似图时尚产品推荐
R Sabitha,D Sundar
R Sabitha
Introduction: Recommender systems are essential in e-commerce for assisting users in navigating large product catalogs, particularly in visually driven domains like fashion. Traditional keyword-based systems often struggl...
Basrah Score: a novel machine learning-based score for differentiating iron deficiency anemia and beta thalassemia trait using RBC indices [0.03%]
基于机器学习的巴斯拉评分：利用红细胞指标区分缺铁性贫血和β-地中海贫血_traits
Salma A Mahmood,Asaad A Khalaf,Saad S Hamadi
Salma A Mahmood
Iron deficiency anemia (IDA) and beta-thalassemia trait (BTT) are prevalent causes of microcytic anemia, often presenting overlapping hematological features that pose diagnostic challenges and necessitate prompt and precise management. Trad...
The global burden of adverse effects of medical treatment: a 30-year socio-demographic and geographic analysis using GBD 2021 data [0.03%]
基于GBD 2021数据的医疗治疗不良影响全球疾病负担：1990～2021年多因素分析
Hanxin Lu,Xinyan Cheng,Jun Xiong
Hanxin Lu
Background: Adverse effects of medical treatment (AEMT) pose critical global health challenges, yet comprehensive analyses of their long-term burden across socio-demographic contexts remain limited. This study evaluates 3...
Yukino Terui,Yuka Inoue,Yohei Hamakawa et al.
Yukino Terui et al.
Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items. To predict scores for unrated items, matrix factorization techniques such as nonnegati...
OCT-SelfNet: a self-supervised framework with multi-source datasets for generalized retinal disease detection [0.03%]
自监督框架在多数据集上的黄斑病变检测方法研究
Fatema-E Jannat,Sina Gholami,Minhaj Nur Alam et al.
Fatema-E Jannat et al.
Introduction: In the medical AI field, there is a significant gap between advances in AI technology and the challenge of applying locally trained models to diverse patient populations. This is mainly due to the limited av...
LLM-as-a-Judge: automated evaluation of search query parsing using large language models [0.03%]
基于大型语言模型的搜索查询解析自动评估方法研究：LLM-as-a-Judge
Mehmet Selman Baysan,Serkan Uysal,İrem İşlek et al.
Mehmet Selman Baysan et al.
Introduction: The adoption of Large Language Models (LLMs) in search systems necessitates new evaluation methodologies beyond traditional rule-based or manual approaches. ...
Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications [0.03%]
微阵列数据分析中的特征选择技术及其应用综述
Fangling Wang,Azlan Mohd Zain,Yanjie Ren et al.
Fangling Wang et al.
This review systematically summarizes recent advances in microarray feature selection techniques and their applications in biomedical research. It addresses the challenges posed by the high dimensionality and noise of microarray data, aimin...