Enhancing Bangla handwritten character recognition using Vision Transformers, VGG-16, and ResNet-50: a performance analysis [0.03%]
使用视觉变压器、VGG-16和ResNet-50增强孟加拉语手写字符识别：性能分析
A H M Shahariar Parvez,Md Samiul Islam,Fahmid Al Farid et al.
A H M Shahariar Parvez et al.
Bangla Handwritten Character Recognition (BHCR) remains challenging due to complex alphabets, and handwriting variations. In this study, we present a comparative evaluation of three deep learning architectures-Vision Transformer (ViT), VGG-...
Application and comparison of ARIMA, LSTM, and ARIMA-LSTM models for predicting foodborne diseases in Liaoning Province [0.03%]
ARIMA、LSTM及ARIMA-LSTM模型在辽宁省食源性疾病预测中的应用与比较
Xiaoxiao Du,Haomiao Yu,Hao Zhang et al.
Xiaoxiao Du et al.
Objective: To compare the application of the ARIMA model, the Long Short-Term Memory (LSTM) model and the ARIMA-LSTM model in forecasting foodborne disease incidence. ...
LLM-supported collaborative ontology design for data and knowledge management platforms [0.03%]
大型语言模型支持的数据和知识管理平台的协作本体设计
Janis Kampars,Guntis Mosans,Tushar Jogi et al.
Janis Kampars et al.
The management of vast, heterogeneous, and multidisciplinary data presents a critical challenge across scientific domains, hindering interoperability and slowing scientific progress. This paper addresses this challenge by presenting a pragm...
PHTFNet-RPM: a probabilistic hybrid network with RPM for tobacco root disease forecasting [0.03%]
基于RPM的概率杂交网络烟草根病预测(PHTFNet-RPM)
Yunhong Bu,Tingshan Yao,Shaowu Geng et al.
Yunhong Bu et al.
Introduction: Tobacco growers usually face particular challenges in predicting the risks of tobacco root diseases due to complex pathogenesis, concealed early symptoms, and heterogeneous farm conditions. ...
Towards the neuromorphic Cyber-Twin: an architecture for cognitive defense in digital twin ecosystems [0.03%]
面向神经形态的网络孪生：数字孪生生态系统中的认知防御架构
Nida Nasir,Hussam Al Hamadi
Nida Nasir
Introduction: As cyber-physical systems become increasingly virtualized, digital twins have emerged as essential components for real-time monitoring, simulation, and control. However, their growing complexity and exposure...
Urban mobility and crime: causal inference using street closures as an instrumental variable [0.03%]
城市交通与犯罪：使用街道封闭作为工具变量的因果推断
Karl Vachuska
Karl Vachuska
The advent of widely available cell phone mobility data in the United States has rapidly expanded the study of everyday mobility patterns in social science research. A wide range of existing literature finds ambient population (e.g., visito...
Finding the needle in the haystack-An interpretable sequential pattern mining method for classification problems [0.03%]
寻找针迹：一种可解释的序列模式挖掘分类问题方法
Alexander Grote,Anuja Hariharan,Christof Weinhardt
Alexander Grote
Introduction: The analysis of discrete sequential data, such as event logs and customer clickstreams, is often challenged by the vast number of possible sequential patterns. This complexity makes it difficult to identify ...
Study on coal and gas outburst prediction technology based on multi-model fusion [0.03%]
基于多模型融合的煤与瓦斯突出预测技术研究
Qian Xie,Junsheng Yan,Zhenhua Dai et al.
Qian Xie et al.
The rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies has opened up novel avenues for predicting coal and gas outbursts in coal mines. This study proposes a novel prediction framework that integrates a...
Research on fault-tolerant decision algorithm for data security automation [0.03%]
面向数据安全自动化的容错决策算法研究
Jianxin Li,Ruchun Jia,Ning Xiang et al.
Jianxin Li et al.
Introduction: Traditional operation and maintenance decision algorithms often ignore the analysis of data source security, making them highly susceptible to noise, time-consuming in execution, and lacking in rationality. ...
Analyzing student mental health with RoBERTa-Large: a sentiment analysis and data analytics approach [0.03%]
基于RoBERTa-Large分析学生的心理健康问题：一种情感分析和数据分析方法
Hikmat Ullah Khan,Anam Naz,Fawaz Khaled Alarfaj et al.
Hikmat Ullah Khan et al.
The mental health of students plays an important role in their overall wellbeing and academic performance. Growing pressure from academics, co-curricular activities such as sports and personal challenges highlight the need for modern method...