Essays about: "To-Be Model"

Showing result 11 - 15 of 9626 essays containing the words To-Be Model.

  1. 11. Stadsodling i Hamnparken, Nyhamnen Malmö : undersöker Torontomodellen som beslutsstöd för potentiellt förorenad mark

    University essay from SLU/Dept. of Biosystems and Technology (from 130101)

    Author : Lova Hambraeus; Karin Stureson; [2024]
    Keywords : bly Pb ; fytoremediering; markanalys; miljöföroreningar; Nyhamnen; PAH; stadsodling; Torontomodellen;

    Abstract : Befolkningen ökar och städer blir tätare. Detta skapar ett behov av att utöka matproduktionen och stärka livsmedelsförsörjningen i staden, samt bygga upp platser för mental hälsa och social interaktion. Ett möjligt sätt att göra detta är genom att börja stadsodla. READ MORE

  2. 12. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Nikolaos Staikos; [2024]
    Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Abstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE

  3. 13. ML implementation for analyzing and estimating product prices

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Abel Getachew Kenea; Gabriel Fagerslett; [2024]
    Keywords : Machine Learning; ML; Regression; Deep Learning; Artificial Neural Network; ANN; TensorFlow; ScikitLearn; CUDA; cuDNN; Estimation; Prediction; AI; Artificial Intelligence; Price Tracking; Price Logging; Price Estimation; Supervised Learning; Random Forest; Decision Trees; Batch Learning; Hyperparameter Tuning; Linear Regression; Multiple Linear Regression; Maskininlärning; Djup lärning; Artificiellt Neuralt Nätverk; Regression; TensorFlow; SciktLearn; ML; ANN; Estimation; Uppskattning; CUDA; cuDNN; AI; Artificiell Intelligens; pris loggning; pris estimation; prisspårning; Batchinlärning; Hyperparameterjustering; Linjär Regression; Multipel Linjär Regression; Supervised Learning; Random Forest; Decision Trees;

    Abstract : Efficient price management is crucial for companies with many different products to keep track of, leading to the common practice of price logging. Today, these prices are often adjusted manually, but setting prices manually can be labor-intensive and prone to human error. READ MORE

  4. 14. Using Synthetic Data For Object Detection on the edge in Hazardous Environments

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Faraz Azarnoush; Damil Sabotic; [2024]
    Keywords : Technology and Engineering;

    Abstract : This thesis aims to evaluate which aspects are important when generating synthetic data with the purpose of running on a lightweight object detection model on an edge device. The task we constructed was to detect Canisters and whether they feature a protective valve called a Cap or not (called a No-Cap). READ MORE

  5. 15. Using artificial intelligence to improvetime estimation for project management

    University essay from Uppsala universitet/Signaler och system

    Author : Marcus Bonnedahl; [2024]
    Keywords : time estimation; ai; machine learning; project management;

    Abstract : Time estimation is an important aspect in project management. Failure to make accurateestimates can lead to large consequences. Despite this, humans tend to make fairly inaccurateestimates when tasked to, often underestimating the time something will take substantially. READ MORE