Essays about: "multilayer"

Showing result 1 - 5 of 171 essays containing the word multilayer.

  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. Kaolin-based coating colors with different rheological and water retention properties : Runnability on a lab-and pilot scale

    University essay from Karlstads universitet/Institutionen för ingenjörs- och kemivetenskaper (from 2013)

    Author : Josefine Augustsson; [2023]
    Keywords : rheology; runnability; barrierperformance; multibarrier; nanoclay; Speswhite; Capim NP; viscosity; shear thinning; coating performance; reologi; körbarhet; barriärprestanda; multibarriär; nanolera; Speswhite; Capim NP; viskositet; skjuvförtunning; beläggningsprestanda;

    Abstract : Food packaging plays a crucial role in protecting and storing food to keep the products fresh and reduce waste. There is a need to increase the number of paper packages in the food industry to meet the growing demand. READ MORE

  4. 3. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods

    University essay from KTH/Fysik

    Author : Jeanette Marie Victoria Skeppland Hole; [2023]
    Keywords : ECG; ECG-analysis; QRS detector; Artificial Intelligence; Machine Learning; Deep neural networks; Long short-term memory; Convolutional neural network; Multilayer perceptron; EKG; EKG-analys; QRS detektor; Artificiell intelligens; Maskininlärning; Djupa neurala nätverk; Long short-term memory; Convolutional neural network; Multilayer perceptron;

    Abstract : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). READ MORE

  5. 4. A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Author : Alice Fracchia; [2023]
    Keywords : Skin cancer; carcinoma; photoacoustic imaging; ultrasound imaging; machine learning; dimensionality reduction; sandpiles algorithm; active contour; multilayer perception MLP ; convolutional neural networks CNN ; autoencoder; Physics and Astronomy;

    Abstract : Skin cancer is a growing public health concern due to its prevalence among the population. Current clinical procedures require high invasiveness and multiple surgeries, which are responsible for patient discomfort and high medical expenses. READ MORE

  6. 5. Forecasting UAS capability with a five-year timeframe

    University essay from Försvarshögskolan

    Author : Anton Dahlström; [2023]
    Keywords : UAS; UAV; UCAV; RPAS; Drone; DJI; Ukraine; Israel; Russia; Capability; Forecast; UAS; UAV; UCAV; RPAS; Drönare; DJI; Ukraina; Israel; Ryssland; Förmåga; Prognos;

    Abstract : During the war in Ukraine, technical and tactical innovation in the deployment of commercial drones for IRS and strike missions, and artillery spotting have been witnessed. This study aims to create a better understanding of evolving UAS capability and create a use-case forecasting UAS capability in five years. READ MORE