农牧行业专业定制 种、养、加、销、运智慧高效一体化解决方案。主要应用在繁育、养殖、社会化服务、屠 宰加工、金融保险、销售、运营、监管等畜牧业全产业链的各重要环节，是为农牧民、 合作社、企业等提供饲养技术、繁育服务、远程诊断、农资流通、金融保险、产品销 售、市场分析、运营监管等服务的服务型大数据云计算平台。 (2024-05-16, Others, 0KB, 下载0次)
http://www.pudn.com/Download/item/id/1715852378744006.html
《基于Cascade-RCNN的工业浸胶胶布缺陷检测分析系统》是一款集模型识别、图像分析和解决方案提出于一体的综合系统。系统充分利用深度学习技术,针对工业浸胶胶布疵点识别难题,实现了高效准确的缺陷检测。采用先进的Cascade-RCNN算法和数据增强方法,系统提高了检测准确度和效率。用户可通过实时展示的缺陷分布图和数据分析报告,快速了解缺陷情况,并得到针对性的解决方案。这一系统不仅提高了工业质检的准确性和效率,也为企业质检部门提供了更智能、便捷的质检解决方案。未来,该系统有望为工业界提供更广泛的应用和服务支持,推动工业质检的数字化转型和健康发展。
The Defect Detection and Analysis System of Industrial Impregnated Tape Based on Cascade RCNN is a comprehensive system integrating model recognition, image analysis and solution. The system makes full use of deep learning technology to realize efficient and accurate defect detection for the problem of defect identification of industrial dip adhesive tape. Advanced Cascade RCNN algorithm and data enhancement method are used to improve the detection accuracy and efficiency of the system. Users can quickly learn about defects and get targeted solutions through real-time defect distribution maps and data analysis reports. This system not only improves the accuracy and efficiency of industrial quality inspection, but also provides a more intelligent and convenient quality inspection solution for enterprise quality inspection departments. In the future, the system is expected to provide more extensive application and service support for the industry, and promote the digital transformation a (2024-04-23, Others, 0KB, 下载0次)
基于深度学习的本地企业需求预测工具，利用最先进的时间序列模型实现准确的短期和长期预测。
Deep learning-based demand forecasting tool for local businesses, leveraging state-of-the-art time series models to enable accurate short-term and long-term predictions. (2024-04-01, Others, 0KB, 下载0次)
Data Dart是我最新的合资企业，我希望您帮助我分析合资企业的销售和业绩。2020年6月，数据集市进行了大规模供应变化。所有Data Mart产品现在都在从农场到客户的每一个步骤中使用可持续的包装方法。
Data Dart is my latest venture and I want your help to analyze the sales and performance of my venture. In June 2020 - large scale supply changes were made at Data Mart. All Data Mart products now use sustainable packaging methods in every single step from the farm all the way to the customer. (2024-02-02, Others, 0KB, 下载0次)
该项目是一个人工智能作业模拟与认知通过饲料。Cognizant是一家信息技术和咨询跨国公司，帮助企业实现技术现代化、重新设计流程和转变体验，以便他们在快速变化的世界中保持领先地位。
This project is an Artificial Intelligence job simulation with Cognizant through Forage. Cognizant is a n information technology and consulting multinational company that helps businesses modernize technology, reimagine processes and transform experiences so they stay ahead in a fast-changing world. (2024-01-05, Others, 0KB, 下载0次)
使用ML的客户情绪分析使用算法来分析反馈，如评论。步骤包括数据收集、文本预处理、情感预测的模型训练、评估、部署和持续改进。它有助于企业了解和提高客户满意度。
Customer sentiment analysis with ML uses algorithms to analyze feedback, like reviews. Steps include data collection, text preprocessing, model training for sentiment prediction, evaluation, deployment, and ongoing improvement. It helps businesses understand and enhance customer satisfaction. (2023-12-26, Others, 0KB, 下载0次)
JVS数据智仓是基于企业私有化部署的自助式数据分析平台。平台提供多数据源、数据可视化加工清洗、数据分析图表的配置、统计报表BI的配置、可视化数字大屏配置、开放的数据服务配置等功能。
JVS data intelligence warehouse is a self-service data analysis platform based on enterprise privatization deployment. The platform provides multiple data sources, data visual processing and cleaning, data analysis chart configuration, statistical report BI configuration, visual digital screen configuration, open data service configuration and other functions. (2023-11-20, Others, 0KB, 下载0次)
此GitHub存储库托管全面的人力资源消耗分析报告，为组织内的员工流动趋势提供有价值的见解。该报告包括深入的统计分析、数据可视化和可操作的建议，以帮助人力资源专业人员和企业领导者做出明智的决策，减少人员流失。
This GitHub repository hosts a comprehensive HR attrition analysis report, providing valuable insights into employee turnover trends within an organization. The report includes in-depth statistical analysis, data visualizations, and actionable recommendations to help HR professionals and business leaders make informed decisions to reduce attrition. (2023-10-25, Others, 0KB, 下载0次)
此存储库托管使用Power BI创建的动态、有洞察力的销售仪表板的代码和资源。销售仪表板提供销售数据的详细视图，帮助您做出数据驱动的决策，跟踪绩效，并确定关键趋势。它是为寻求最大化销售和收入的企业而设计的
This repository hosts the code and resources for a dynamic and insightful Sales Dashboard created using Power BI. The Sales Dashboard provides a detailed view of your sales data, helping you make data-driven decisions, track performance, and identify key trends. It is designed for businesses seeking to maximize sales and revenue (2023-10-17, Others, 0KB, 下载0次)
入侵检测系统IDS的企业网络（ML网络）攻击检测、参数优化和性能分析。
Attack Detection, Parameter Optimization and Performance Analysis in
Enterprise Networks (ML Networks) for Intrusion Detection System IDS.
, (2022-10-16, Others, 434KB, 下载0次)
更新中（速度较慢）：大数据+AI的实用框架，每一步都有成就感！手把手实战（一步步/大量注释/操作配图），如企业画像（Spark+NLP）、推荐系统（Spark+GBDT/LR）、实时数仓（Flink）等，以实战学技术。
,
Practical projects of BigData and AI, updating slowly: A practical framework for big data and AI, with a sense of achievement in every step! Hands-on practical combat (step by step with a large number of annotated operations and graphics), such as enterprise portrait (Spark+NLP), recommendation system (Spark+GBDT LR), real-time data warehouse (Flink), etc., to learn technology through practical combat, (2023-01-03, Others, 12231KB, 下载0次)
本文提出的TL XGBoost模型能够有效预测中短期需求，为零售企业的库存规划、促销规划、定价策略等业务活动和决策提供有效支持。
TL-XGBoost model proposed in this paper can effectively predict short-term and
medium-term demand, and provide effective support for retail
enterprises inventory planning, promotion planning, pricing strategies and
other business activities and decisions.
, (2020-01-18, Others, 130719KB, 下载0次)
：针对动力学方程未知且信噪比小的光混沌信号，采用小波多分辨分解算法对其进行噪音消
减．用Lorenz混沌信号对该算法的消噪效果进行了检验．提出利用互信息量法和Cao氏法来改进
小数据量法在时间延迟和嵌入维数计算上存在的主观选择性，对经过噪音消减的Lorenz混沌信号
利用此改进的小数据量法计算其最大Lyapunov指数．结果表明，信噪比可提高近10 dB左右，最
大Lyapunov指数计算误差可减少近30 ，并求得半导体放大器光混沌信号的最大Lyapunov指
数为0．389 6．
The wavelet multi—resolution decomposition algorithm was used for reducing noise of optical
chaos signals with dynamic equation unknown and low SNR．The algorithm was verified by Lorenz chaotic
signa1．The mutual information algorithm and Cao method were used to reduce the suhj ective in computing
the delay time and embedding dimension when applying the small data method to compute the largest
Lyapunov exponent．The largest lyapunov exponent of the de—noised chaos signal was calculated with this
improved method．The result shows that the SNR is increased by about 1 0 dB，and the error of the largest
Lyapunov exponent is reduced by 30 ．The largest Lyapunov exponent of the optical chaos signal 0．389 6
is obtained with this method． (2010-04-24, Others, 380KB, 下载18次)