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ysoluckyp's Projects

composecookbook icon composecookbook

A Collection on all Jetpack compose UI elements, Layouts, Widgets and Demo screens to see it's potential

easytop icon easytop

随着国家深化考试招生改革,志愿填报的科学性显得愈发重要,各类志愿填报服务也蓬勃发展起来。然而由于信息不对称性,算法缺乏精确性等问题,行业典范仍未出现。作为一款基于人工神经网络进行高考分数预测并指导考生填报的资讯工具类安卓端移动应用,《易志通》应运而生。本团队通过网页爬虫,获取四十余万条数据(考分信息、高校资讯、教育动向);在Bmob云数据库中建立14张关联表,设计界面达36个,Android Studio代码行数达两万余行;根据地理定位精准推荐报考咨询;采用大数据文本挖掘技术生成高校印象词云,应用VR全景技术展现真实校园风光。《易志通》主打手绘风,以卡片式为主布局,综合多项前沿技术,只为带给考生用户完美的一站式择校体验。

paddlepaddle-industrialpark_intelligentinspectionsystem icon paddlepaddle-industrialpark_intelligentinspectionsystem

本作品为一套智能化的工业园区安防系统。 整个项目可以分为四大子系统:多传感数据监测融合系统、空地协同集群巡检、异常检测与小目标检测算法、后端云协同系统。 无人车集群、无人机集群和多种传感器等智能感知设备与定位技术对园区内的人、物、环境等全要素多源异构信息进行实时感知和监控。基于无人机测绘的3D场景建模可以实现高速高精度建模,并且能全面反应出道路、墙壁、楼顶、门窗等多方位信息,快速获取道路堵塞、墙壁裂缝、楼顶破损等危险信息,并且借助于无人机便捷的特性,可以实现静态模型一小时一更新。多种类型的传感器可以获得多类型、多模态、高精度数据信息,实现精准反馈。园区内采用充电装置提高集群的续航能力。

uav-3d-path-optimization-snarm-d3qn icon uav-3d-path-optimization-snarm-d3qn

基于深度强化学习技术(DRL),提出了结合D3QN算法和多步学习的无人机3D路径优化算法。为进一步优化算法,提出一种三维同步导航和无线电测绘(SNARM)新框架。

ui icon ui

Beautifully designed components that you can copy and paste into your apps. Accessible. Customizable. Open Source.

xmind-learning icon xmind-learning

❄️自己整理的思维导图学习资料(IT专业技术)

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