Eustoma的案例列表
设备故障预测系统
基于机器学习的设备状态监测与故障预测系统，实现数据采集、特征提取、异常检测、预警推送等功能模块，准确率达92%以上。 A machine learning-based system for equipment condition monitoring and failure prediction, featuring data collection, feature extraction, anomaly detection, and alert push, achieving over 92% accuracy.
企业管理后台系统
基于Spring Boot + Vue的企业级后台管理系统，包含用户管理、权限控制、数据统计、日志审计等模块，支持多角色多权限。 An enterprise-level backend management system based on Spring Boot + Vue, including user management, permission control, data statistics, log audit modules, supporting multiple roles and permissions.
案例判断参考
Eustoma的案例列表
设备故障预测系统
基于机器学习的设备状态监测与故障预测系统，实现数据采集、特征提取、异常检测、预警推送等功能模块，准确率达92%以上。 A machine learning-based system for equipment condition monitoring and failure prediction, featuring data collection, feature extraction, anomaly detection, and alert push, achieving over 92% accuracy....
企业管理后台系统
基于Spring Boot + Vue的企业级后台管理系统，包含用户管理、权限控制、数据统计、日志审计等模块，支持多角色多权限。 An enterprise-level backend management system based on Spring Boot + Vue, including user management, permission control, data statistics, log audit modules, supporting multiple roles and permissions....
