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Showing result 1 - 5 of 14 essays matching the above criteria.

  1. 1. 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. 2. Study of evaluation metrics while predicting the yield of lettuce plants in indoor farms using machine learning models

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

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

    Abstract : 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). READ MORE

  4. 3. Ranging Error Correction in a Narrowband, Sub-GHz, RF Localization System

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Silvia Barrett; [2023]
    Keywords : Localization; Narrowband; Sub-GHz; Radio Frequency; RSSI; Time-of-Flight; Error mitigation; Machine Learning; Linear Regression; LeastSquares Support Vector Machine Regression; Gaussian Process Regression; Loalisering; Narrowband; Sub-GHz; Radiofrekvens; RSSI; Time-of-Flight; Felkorrigering; Machine Learning; Linear Regression; LeastSquares Support Vector Machine Regression; Gaussian Process Regression;

    Abstract : Being able to keep track of ones assets is a very useful thing, from avoiding losing ones keys or phone to being able to find the needed equipment in a busy hospital or on a construction site. The area of localization is actively evolving to find the best ways to accurately track objects and devices in an energy efficient manner, at any range, and in any type of environment. READ MORE

  5. 4. A requirements engineering approach in the development of an AI-based classification system for road markings in autonomous driving : a case study

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Srija Sunkara; [2023]
    Keywords : Requirements Engineering; Machine Learning; Goal-Oriented Requirements Engineering; Autonomous Driving; Point Cloud Classification;

    Abstract : Background: Requirements engineering (RE) is the process of identifying, defining, documenting, and validating requirements. However, RE approaches are usually not applied to AI-based systems due to their ambiguity and is still a growing subject. READ MORE

  6. 5. Predictive Maintenance for Cyclotrons using Machine Learning

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Cesar Pawlik; [2023]
    Keywords : predictive maintenance machine learning cyclotron;

    Abstract : A cyclotron is used for diagnosing and treating cancer. Pipes in the cyclotron have to be replaced as they get worn out when isotopes travel through them. This thesis aims to use machine learning models to predict when these parts have to be changed. READ MORE