Essays about: "make efficient"

Showing result 1 - 5 of 1454 essays containing the words make efficient.

  1. 1. 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

  3. 2. RENOVATION USING PREFABRICATED FAÇADE ELEMENTS

    University essay from Lunds universitet/Institutionen för arkitektur och byggd miljö; Lunds universitet/Avdelningen för Energi och byggnadsdesign

    Author : Aleksandra Milkova; Mohamed Soliman; [2024]
    Keywords : Keywords: Energy use; Reduce energy; EU; IVL; LKF; TES façade; Multi-active façade; Alingsås façade; Million Programme; Moisture risk analysis; Attachment; Thermal performance; WUFI; AUTOCAD; HEAT2; Technology and Engineering;

    Abstract : The building sector uses about 40% of the total global energy use. Sweden aims to reach its new goal to reduce the energy use in their residential sector as well as commercial sector by 20%, which should be reached by year 2020 and 50% by year 2050. READ MORE

  4. 3. Techno-Economic Analysis of Dye Separation in Textile Recycling

    University essay from Lunds universitet/Avdelningen för Teknisk vattenresurslära

    Author : David Lundberg; [2024]
    Keywords : Dye; Membrane filtration; Electrocoagulation; Techno-economic analysis; Pre-feasibility study; Technology and Engineering;

    Abstract : This study determines the technical and economic feasibility of separating dye from a process filtrate in industrial textile recycling using electrocoagulation or sequences of membrane filtration with microfiltration, ultrafiltration, nanofiltration and reverse osmosis. The lower requirements for treating this stream, compared to previously researched dyehouse effluents, left treatments not good enough for dyehouses viable for this process filtrate. READ MORE

  5. 4. Circularity through Collaboration - A Case Study on Textile Industry

    University essay from Handelshögskolan i Stockholm/Institutionen för företagande och ledning

    Author : Balajishnu Udayakumar; Marcello Benincasa; [2024]
    Keywords : Circular economy; Collaboration; CE strategies; System perspective; Textile industry;

    Abstract : In the last decade, circular economy (CE) has gained widespread attention among scholars, practitioners, and policymakers as a sustainable alternative to the current linear system. This system, which operates under the logic of "take-make-dispose", poses significant threats to our environment due to the exponential growth in natural resource extraction that we have witnessed in the last fifty years. READ MORE

  6. 5. Time Series Forecasting on Database Storage

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Pranav Patel; [2024]
    Keywords : Machine Learning; Time Series Forecasting; Prediction; Neural Networks; CNN; RNN; Database Storage;

    Abstract : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. READ MORE