ZigBeeSensorMonitor最新版本含源代码
2024/6/12 1:43:53 16.6MB ZigBee Sensor Monitor
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VMwareESX序列号注册机LICVMwareESXi、vCenterServer算号器vSphereEnterpriselicenseESX4.0以后更新了授权方式,本算号器可以算以下序列号:vCenterServervCenterServerFoundationVMwareESXivSphereFoundationvSphereStandardvSphereAdvancedvSphereEnterprisevSphereEnterprisePlusvSphereDesktopHost
2024/6/11 7:31:25 32KB ESX ESXI vCenter Server
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Title:RMachineLearningEssentialsAuthor:MicheleUsuelliLength:218pagesEdition:1Language:EnglishPublisher:PacktPublishingPublicationDate:2014-11-25ISBN-10:178398774XISBN-13:9781783987740GainquickaccesstothemachinelearningconceptsandpracticalapplicationsusingtheRdevelopmentenvironmentAboutThisBookBuildmachinelearningalgorithmsusingthemostpowerfultoolsinRIdentifybusinessproblemsandsolvethembydevelopingeffectivesolutionsHands-ontutorialexplainingtheconceptsthroughlotsofpracticalexamples,tipsandtricksWhoThisBookIsForIfyouwanttolearnhowtodevelopeffectivemachinelearningsolutionstoyourbusinessproblemsinR,thisbookisforyou.Itwouldbehelpfultohaveabitoffamiliaritywithbasicobject-orientedprogrammingconcepts,butnopriorexperienceisrequired.InDetailRMachineLearningEssentialsprovidesyouwithanintroductiontomachinelearningwithR.Machinelearningfindsitsapplicationsinspeechrecognition,search-basedoperations,andartificialintelligence,amongotherthings.Youwillstartoffbygettinganintroductiontowhatmachinelearningis,alongwithsomeexamplestodemonstratetheimportanceinunderstandingthebasicideasofmachinelearning.ThisbookwillthenintroduceyoutoRandyouwillseethatitisaninfluentialprogramminglanguagethataidseffectivemachinelearning.Youwilllearnthethreestepstobuildaneffectivemachinelearningsolution,whichareexploringthedata,buildingthesolution,andvalidatingtheresults.Thebookwilldemonstrateeachstep,highlightingtheirpurposeandexplainingtechniquesrelatedtothem.Bytheendofthisbook,youwillbeabletousethemachinelearningtechniqueseffectively,identifybusinessproblems,andsolvethembyapplyingappropriatesolutions.TableofContentsChapter1.TransformingDataintoActionsChapter2.R–APowerfulToolforDevelopingMachineLearningAlgorith
2024/6/9 17:14:38 2.81MB R Machine Learning
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*Suiteofsimple,portablebenchmarks*Comparesdifferentsystemsperformance*Resultsavailableformostmajorvendors(SUN,HP,IBM,DEC,SGI,PCsincluding200MhzP6's)*Freesoftware,coveredbytheGNUGeneralPublicLicense.*BandwidthbenchmarksoCachedfilereadoMemorycopy(bcopy)oMemoryreadoMemorywriteoPipeoTCP*LatencybenchmarksoContextswitching.oNetworking:connectionestablishment,pipe,TCP,UDP,andRPChotpotatooFilesystemcreatesanddeletes.oProcesscreation.oSignalhandlingoSystemcalloverheadoMemoryreadlatency*MiscellaniousoProcessorclockratecalculation
2024/6/4 2:06:04 1003KB linux的benchmark
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西蒙的最优估计,卡尔曼滤波经典教材
2024/6/1 4:06:41 22.29MB 卡尔曼滤波 kalman 最优估计
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assetstore官网的插件:GettoknowthepowerofUnity4'scharacteranimationsystem,Mecanim,withthiscomprehensiveexamplepackage.Inside,you'llfindelevenexamplescenesdemonstratinglocomotionstatemachines,animationblendtrees,crowdsimulations,multi-layerIKrigs,trajectorytargetmatching,weaponhandling,following,precisionon-spotturning,nav-meshintegrationandmore!
2024/5/31 6:13:17 270.05MB unity
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自动驾驶IEEE最新杂志
2024/5/29 15:08:23 8.82MB 人工智能 自动驾驶
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用于编程语言处理的树结构卷积神经网络,ConvolutionalNeuralNetworksoverTreeStructuresforProgrammingLanguageProcessingTBCNN源码python
2024/5/23 3:54:40 1.23MB tbcnn dataset cnn python
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在线考试系统文献综述中文摘要:随着网络技术的日益成熟,网络已经深入到生活的每一个角落,包括教育、购物、咨询、办公等等许多领域。
在网络迅速发展的今天,网页技术的应用也越来越广泛。
网页技术的应用对于教育行业来说优势更加的明显。
教育行业可以通过网络进行学生和教职工的管理、组织学生在线考试、在网站上发布学校相关信息等活动。
这样不仅能增加学校管理的透明度,还提高了学校的管理水平。
在线考试还能充分的利用学校的现有资源,大大减轻教师的工作量,把老师从出卷、阅卷等一些繁重中做中解脱出来。
本文重点论述了由于网络的存在扩大了学校的服务范围,为学校的管理提供了更多的条件。
对此做出了详细的调查,可行性研究和分析。
系统采用了B/S结构,在网络上建立学校自己的教育网站。
系统开发经历了系统分析、系统设计和系统实施三个阶段。
从设计方案的提出,经过详细的调查,分析了方案的可行性和必要性,通过详细的系统设计,力图提高系统的集成性和快捷性;
并在系统实施阶段收集了大量的实验数据,以便测试阶段系统的准确性和稳定性。
系统整体是基于浏览器/服务器,前台应用JSP技术,后台采用SQLServer2000作为数据库与前台连接。
关键词:网络教育在线考试B/S结构JSP技术 AbstractWiththeincreasinglysophisticatednetworktechnologies,thenetworkhadpenetratedeverycorneroflife,includingeducation,shopping,advice,officeandsomanyfields.Today,therapiddevelopmentofthenetwork,theapplicationofwebtechnologymoreandmorewidely.Webtechnologyadvantagefortheeducationindustryismoreevident.Educationsectorthroughanetworkofstudentsandfacultymanagement,studentorganizations,onlineexaminations,inthewebsiteinformationandotherschoolactivities.Thiscannotonlyincreasethetransparencyofschoolmanagement,butalsotoimprovetheschoolmanagementlevel.Onlinetestcanfullyutilizetheschool'sexistingresources,greatlyreducingtheworkloadofteachers,theteacherfromthevolumeofgradingtodoandsomeheavyfreed.Thisarticlefocusesontheexistenceofasnetworkservicestoexpandthescopeoftheschool,theschoolmanagementtoprovidemoreconditions.Havemadeadetailedsurvey,feasibilitystudiesandanalysis.SystemusestheB/Sstructureofthenetworktoestablishtheirownschools,educationalwebsites.Systemdevelopmentthroughsystemanalysis,systemdesignandsystemimplementationofthethreestages.Fromthedesignoftheproposal,afteradetailedinvestigationofthefeasibilityandnecessity,throughdetaileddesign,tryingtoimprovesystemintegrationandspeed;andimplementationphaseinthesystem,alargenumberofexpe
2024/5/22 22:19:21 20KB 在线考试系统 文献综述
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Thispracticalguideprovidesnearly200self-containedrecipestohelpyousolvemachinelearningchallengesyoumayencounterinyourdailywork.Ifyou’recomfortablewithPythonanditslibraries,includingpandasandscikit-learn,you’llbeabletoaddressspecificproblemssuchasloadingdata,handlingtextornumericaldata,modelselection,anddimensionalityreductionandmanyothertopics.Eachrecipeincludescodethatyoucancopyandpasteintoatoydatasettoensurethatitactuallyworks.Fromthere,youcaninsert,combine,oradaptthecodetohelpconstructyourapplication.Recipesalsoincludeadiscussionthatexplainsthesolutionandprovidesmeaningfulcontext.Thiscookbooktakesyoubeyondtheoryandconceptsbyprovidingthenutsandboltsyouneedtoconstructworkingmachinelearningapplications.You’llfindrecipesfor:Vectors,matrices,andarraysHandlingnumericalandcategoricaldata,text,images,anddatesandtimesDimensionalityreductionusingfeatureextractionorfeatureselectionModelevaluationandselectionLinearandlogicalregression,treesandforests,andk-nearestneighborsSupportvectormachines(SVM),naïveBayes,clustering,andneuralnetworksSavingandloadingtrainedmodels
2024/5/19 5:40:14 4.59MB Machine Lear Keras
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在日常工作中,钉钉打卡成了我生活中不可或缺的一部分。然而,有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚,我总是得牢记打开钉钉应用,点击"工作台",再找到"考勤打卡"进行签到。有时候因为工作忙碌,会忘记打卡,导致考勤异常,影响当月的工作评价。而且,由于我使用的是苹果手机,有时候系统更新后,钉钉的某些功能会出现异常,使得打卡变得更加麻烦。 另外,我的家人使用的是安卓手机,他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说,每次打卡都是一次挑战。他们总是担心自己会操作失误,导致打卡失败。 为了解决这些烦恼,我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习,我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。
2024-04-09 15:03 15KB 钉钉 钉钉打卡