Balancing act: Europeans' privacy calculus and security concerns in online CSAM detection [0.03%]
欧洲人在线儿童性虐待材料检测中的隐私权衡与安全顾虑
Răzvan Rughiniş,Simona-Nicoleta Vulpe,Dinu Ţurcanu et al.
Răzvan Rughiniş et al.
This study examines privacy calculus in online child sexual abuse material (CSAM) detection across Europe, using Flash Eurobarometer 532 data. Drawing on theories of structuration and risk society, we analyze how individual agency and insti...
Enhancing smart home environments: a novel pattern recognition approach to ambient acoustic event detection and localization [0.03%]
增强智能家庭环境：一种新颖的模式识别方法在背景声学事件检测和定位中的应用
Ahsan Shabbir,Abdul Haleem Butt,Taha Khan et al.
Ahsan Shabbir et al.
Introduction: Ambient acoustic detection and localization play a vital role in identifying events and their origins from acoustic data. This study aimed to establish a comprehensive framework for classifying activities in...
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