Gallery — Project / Lab Report

A class project on the difference between GSM VS CDMA.

Exemple de rapport pour les TIPE (Travaux d'Initiative Personnelle Encadrés) pour les concours d'entrée aux écoles d'ingénieurs à partir de la session 2017. Il y a surtout des exemples sur les différentes manières de composer des équations ainsi que comment introduire des portions de code Python pour illustrer son propos. NB: le script TeXcount pourra vous être utile car il permet de compter les mots utilisés dans chaque section d'un document LaTeX. Vous en trouverez une version en ligne à l'adresse http://app.uio.no/ifi/texcount/online.php Il suffit d'y copier l'ensemble du document (via Ctrl-A/Ctrl-C puis Ctrl-V dans la fenêtre idoine) pour obtenir le récapitulatif tout en bas de la page qui s'ouvre alors. (You can also get the word count in Overleaf by clicking on "Word Count" at the top of the file list panel.)

Vorlage für Physikpraktikum in der LUH

FH Köln Seminar Paper Template

This is a project done as a part of academic curriculum

This article proposes to obtain a statistical model of the daily peak electricity load of a household located in Austin-TX,USA. The Box-Jenkins methodology was followed to obtain the best fit for the time-series. Four models provided a good fit: ARIMA(0,1,2), ARIMA(1,1,2), SARIMA(0,1,2)(0,1,1) and SARIMA(1,1,2)(0,1,1). The model with the highest Akaike Information Criteria was the ARIMA(1,2,2). However, the model with the highest forecast accuracy was the SARIMA(1,1,2)(0,1,1), which obtained an RMSE of 0.296 and a MAPE Of 15.00.

Accurate prognosis and prediction of a patient's current disease state is critical in an ICU. The use of vast amounts of digital medical information can help in predicting the best course of action for the diagnosis and treatment of patients. The proposed technique investigates the strength of using a combination of latent variable models (latent dirichlet allocation) and structured data to transform the information streams into potentially actionable knowledge. In this project, I use Apache Spark to predict mortality among ICU patients so that it can be used as an acuity surrogate to help physicians identify the patients in need of immediate care.

An outline of the contents expected in your final project reports.

Fluid Report