Essays about: "forest product"

Showing result 1 - 5 of 217 essays containing the words forest product.

  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. Magic Tree - Development of a technology mediating multi-sensory musical instrument

    University essay from Lunds universitet/Innovation

    Author : Herta Storlind; [2024]
    Keywords : multi-sensory; musical instrument; capacitive sensing; Arduino; multifunctional disabilities; Technology and Engineering;

    Abstract : This thesis is part of the MISK-project, Musik, Interaktiv design, Sinnesstimulering och Kvalitet (Music, Interactive design, Sensory stimulation and Quality). The MISK-project is a collaborative project between Certec at LTH, Furuboda Folkhögskola and Eldorado Resurscenter, developing musical instruments for children and young adults with mental and physical disabilities. READ MORE

  4. 3. Predicting the Impact of Supply Chain Disruptions Using Statistical Analysis and Machine Learning

    University essay from KTH/Matematisk statistik

    Author : Hannes Andersson; John Sjöberg; [2023]
    Keywords : Supply chain disruption; SMOTE; feature engineering; machine learning; random forest; statistics; applied mathematics; Störning i försörjningskedja; maskininlärning; matematik; statistik;

    Abstract : The dairy business is vulnerable to supply chain disruptions since large safety stocks to cover up losses are not always a viable option, therefore it is crucial to maintain a smooth supply chain to ensure stable delivery accuracies. Disruptions are unpredictable and hard to avoid in the supply chain, especially in cases where production errors cause lost production volume. READ MORE

  5. 4. Exploring Young Adults' Relationship to Forest Visits in Sweden: A Grounded Theory Study with Implications for Policy Planning

    University essay from Lunds universitet/Socialmedicin och global hälsa

    Author : Helena Gullberg; [2023]
    Keywords : Forest visits; Young adults; Adolescents; Outdoor recreation; Policy Planning; Policy Implementation; Mental Health; Medicine and Health Sciences;

    Abstract : Background: Mental illness is a significant public health issue among young adults in Sweden, who are also spending less time in nature despite its proven positive health effects. However, there is limited research on young adults’ relationship with forest visits from a mental health perspective. READ MORE

  6. 5. STUDY OF DISTRIBUTED/FEDERATED LEARNING APPROACHES WITH RANDOM FOREST FOR SENSOR FAILURE DETECTION IN MANUFACTURING ENVIRONMENT

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Andreas Karlsson; [2023]
    Keywords : ;

    Abstract : In a manufacturing environment, the continuous operation of production lines is of most importance to ensure optimal productivity and profitability. To maintain efficiency and safety, production lines often rely on systems that utilize data from sensors placed around the manufacturing process. READ MORE