Sökning: "Error Metric"

Visar resultat 1 - 5 av 76 uppsatser innehållade orden Error Metric.

  1. 1. Study of evaluation metrics while predicting the yield of lettuce plants in indoor farms using machine learning models

    Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Divya Chedayan; Harry Geo Fernandez; [2023]
    Nyckelord :machine learning; lettuce yield prediction; Regression; SVR; RF; DNN; MAE; MSE; RMSE; R-squared; Adjusted R-squared;

    Sammanfattning : A key challenge for maximizing the world’s food supply is crop yield prediction. In this study, three machine models are used to predict the fresh weight (yield) of lettuce plants that are grown inside indoor farms hydroponically using the vertical farming infrastructure, namely, support vector regressor (SVR), random forest regressor (RFR), and deep neural network (DNN). LÄS MER

  3. 2. Using Approximate Computing Circuits to Optimize Power of an ASIC

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Padmashree Nuggehalli Srinivasa; Shi-Tien Hsing; [2023]
    Nyckelord :ASIC; Power; Optimization; Approximate Arithmetic Circuits; Approximate Computing; Technology; Technology and Engineering;

    Sammanfattning : The growing demand for network cameras to support real-time image processing and machine-learning applications has created a need for low-power solutions. Although technology scaling makes complex computations feasible, voltage scaling is limited, leading to higher power density and dark silicon problems. LÄS MER

  4. 3. Evaluation of Computer Tomography based Cancer Diagnostics with the help of 3D Printed Phantoms and Deep Learning

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Alex Back; Pontus Pandurevic; [2023]
    Nyckelord :Machine Learning; Deep Learning; Convolutional Neural Networks; Perception Loss; CNN; DL; ML; Computer Tomography; CT; Cancer Diagnostics; Evaluation of Image Reconstruction; Radiomics; Tumors; 3D Printed Phantoms; 3D Printing; PLA;

    Sammanfattning : Computed x-ray tomography is one of the most common medical imaging modalities andas such ways of improving the images are of high relevance. Applying deep learningmethods to denoise CT images has been of particular interest in recent years. LÄS MER

  5. 4. Data Analysis for Predictive Maintenance of a Straightening Machine in the Steel Industry

    Magister-uppsats, Högskolan i Gävle/Elektronik

    Författare :Paul Barron; [2023]
    Nyckelord :Condition Monitoring; Features; Clustering;

    Sammanfattning : The availability of industrial machinery is crucial to any business operating in the manufacturingsector. Mechanical failures halt production and unplanned downtime canbe disruptive and costly. Small failures can compound to serious failures which exponentiallyincreases downtime and repair costs. LÄS MER

  7. 5. Expression Simplification Using E-Graphs for Interval Evaluation

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Simon Björklund; [2023]
    Nyckelord :;

    Sammanfattning : Daisy is a framework for verifying and bounding the magnitudes of rounding errors introduced by floating-point arithmetic in numerical programs. As part of this, Daisy employs a rudimentary algorithm for simplifying expressions derived from the programs. LÄS MER