akxy1147 / machine-learningLinks
本系统采用前后端分离的设计架构,通过使用SpringBoot框架实现后端服务,在前端使用Vue.js技术实现交互界面。系统主要功能包括:队员信息管理、参赛队伍管理、比赛成绩管理、队员训练数据分析和预测等。在数据分析方面,系统运用了机器学习算法对队员做题数据进行建模和预测,以提供更加精准的成绩预测和意见建议。本系统的设计与实现使得高校程序设计竞赛的管理和监控变得更加智能化和高效化,可以帮助管理员更好地了解比赛情况和参赛队伍的实力,同时也为参赛者提供了更加公正的竞赛 环境。
☆14Updated 2 years ago
Alternatives and similar repositories for machine-learning
Users that are interested in machine-learning are comparing it to the libraries listed below
Sorting:
- 本科毕业设计,液态金属性能预测和训练平台,用Django作为后端,Echarts呈现图表的可视化数据大屏☆13Updated 3 years ago
- 基于深度学习的风电机组机械故障智能识别方法研究☆12Updated last year
- Real time tool wear monitoring method based on a TCN model for PHM-2010 Dataset.☆11Updated 3 years ago
- 1) How to Prepare Time Series Data for CNNs and LSTMs?? 2) How to Develop CNNs for Time Series Forecasting?? 3) How to Develop LSTMs for …☆12Updated last year
- ☆33Updated 2 years ago
- This project is for paper " PFFN: A Parallel Feature Fusion Network for Remaining Useful Life Early Prediction of Lithium-ion Battery …☆10Updated last year
- Remaining Useful Life Prediction of lithium-ion Battery☆16Updated 11 months ago
- Implementation of a regression capsule network for use in li-ion battery RUL☆10Updated 3 years ago
- A open source dataset about milling to monitoring tool wear status☆14Updated last year
- The relevant codes and more comparison results of "Physics-informed deep learning for tool wear monitoring".☆16Updated 4 years ago
- 论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码☆29Updated 3 years ago
- An AI-based system utilizing Graph Neural Networks (GNNs) for real-time anomaly detection and fault diagnosis in spacecraft engines. It c…☆16Updated last year
- This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for…☆19Updated 4 years ago
- Tree seed algorithm and Particle Swarm algorithm are used for searching the LSTM hyper parameters☆11Updated 2 months ago
- ☆48Updated 2 years ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 years ago
- 数控加工单元数字 孪生☆11Updated 4 years ago
- The code for paper "Position Encoding based Convolutional Neural Networks for Machine Remaining Useful Life Prediction"☆15Updated 3 years ago
- A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful l…☆13Updated 11 months ago
- 基于LabVIEW,可由故障齿轮箱 振动信号生成时域图、频谱图、倒频谱图和包络谱图☆16Updated 5 years ago
- BG-CNN: A Hybrid Fault Diagnosis Method for Improved Fault Isolation. This repository presents the BG-CNN method, a novel approach that …☆12Updated last year
- The PyTorch implementation of Temperature Adaptive Transfer Network for Cross-Domain State of Charge Estimation of Li-ion Batteries at D…☆23Updated 2 years ago
- Comparison of various transfer learning models with the hybridization of an FCNN for battery RUL prediction☆47Updated 3 years ago
- ☆23Updated 5 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆58Updated last year
- TFDSUNet: Time-Frequency Dual-Stream Uncertainty Network for Battery SOH/SOC Prediction☆51Updated 2 years ago
- Air pollution prediction based on improved Informer model: a case study applied to the Yan'an city of China☆15Updated 2 years ago
- unofficial reproduction of: a transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradat…☆20Updated 2 years ago
- Code for Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks☆30Updated last year
- Using particle filtering algorithm to estimate the residual life of lithium ion batteries, the university of Maryland public data set is …☆33Updated 2 years ago