A scalable tool for analyzing genomic variants of humans using knowledge graphs and graph machine learning [0.03%]
一个使用知识图和图神经网络的大规模人类基因组变异分析工具
Shivika Prasanna,Ajay Kumar,Deepthi Rao et al.
Shivika Prasanna et al.
Advances in high-throughput genome sequencing have enabled large-scale genome sequencing in clinical practice and research studies. By analyzing genomic variants of humans, scientists can gain better understanding of the risk factors of com...
Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis [0.03%]
基于微观血细胞图像的急性髓系白血病检测的人工智能研究；系统回顾和元分析
Feras Al-Obeidat,Wael Hafez,Asrar Rashid et al.
Feras Al-Obeidat et al.
Background: Leukemia is the 11th most prevalent type of cancer worldwide, with acute myeloid leukemia (AML) being the most frequent malignant blood malignancy in adults. Microscopic blood tests are the most common methods...
Toward a physics-guided machine learning approach for predicting chaotic systems dynamics [0.03%]
基于物理的机器学习预测混沌系统动力学的方法研究
Liu Feng,Yang Liu,Benyun Shi et al.
Liu Feng et al.
Predicting the dynamics of chaotic systems is crucial across various practical domains, including the control of infectious diseases and responses to extreme weather events. Such predictions provide quantitative insights into the future beh...
Analysis and prediction of atmospheric ozone concentrations using machine learning [0.03%]
基于机器学习的臭氧浓度分析与预测模型研究
Stephan Räss,Markus C Leuenberger
Stephan Räss
Atmospheric ozone chemistry involves various substances and reactions, which makes it a complex system. We analyzed data recorded by Switzerland's National Air Pollution Monitoring Network (NABEL) to showcase the capabilities of machine lea...
Prediction model of middle school student performance based on MBSO and MDBO-BP-Adaboost method [0.03%]
基于MBSO和MDBO-BP-AdaBoost方法的中学学生成绩预测模型
Rencheng Fang,Tao Zhou,Baohua Yu et al.
Rencheng Fang et al.
Predictions of student performance are important to the education system as a whole, helping students to know how their learning is changing and adjusting teachers' and school policymakers' plans for their future growth. However, selecting ...
Multi-source data recognition and fusion algorithm based on a two-layer genetic algorithm-back propagation model [0.03%]
基于两层遗传算法-反向传播模型的多源数据识别与融合算法
Zhuang Xiong,Jun Ma,Bohang Chen et al.
Zhuang Xiong et al.
Traditional rainfall data collection mainly relies on rain buckets and meteorological data. It rarely considers the impact of sensor faults on measurement accuracy. To solve this problem, a two-layer genetic algorithm-backpropagation (GA-BP...
Exploring infodemiology: unraveling the intricate relationships among stress, headaches, migraines, and suicide through Google Trends analysis [0.03%]
探究信息流行病学：通过Google趋势分析解密压力、头痛、偏头痛和自杀之间的复杂关系
Rapuru Rushendran,Vellapandian Chitra
Rapuru Rushendran
Introduction: Google Trends has emerged as a vital resource for understanding public information-seeking behavior. This study investigates the interconnected search trends of stress, headaches, migraines, and suicide, hig...
Editorial: Cybersecurity and artificial intelligence: advances, challenges, opportunities, threats [0.03%]
评论：网络安全和人工智能：进展、挑战、机遇与威胁
Pavlos Papadopoulos,Sokratis Katsikas,Nikolaos Pitropakis
Pavlos Papadopoulos
Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants [0.03%]
慢性肾脏病与健康人群舌象关键影响因素的探索性研究
Po-Chi Hsu,Jia-Ming Chen,Chia-Chu Chang et al.
Po-Chi Hsu et al.
Introduction: Chronic kidney disease (CKD) is a significant global health problem associated with high morbidity and mortality rates. Traditional Chinese Medicine (TCM) utilizes tongue diagnosis to differentiate symptoms ...
How critical is SME financial literacy and digital financial access for financial and economic development in the expanded BRICS block? [0.03%]
金砖扩展体国家中小企业金融知识和数字金融服务获取的重要性及其对金融经济发展的影响研究
Manoj Kumar M,Nasser Almuraqab,Immanuel Azaad Moonesar et al.
Manoj Kumar M et al.
Introduction: The expanded BRICS block presents significant opportunities for SMEs (Small and Medium Enterprises), but challenges related to financial literacy and digital access hinder their potential. While global effor...