Essays about: "Forest Time Machine"

Showing result 1 - 5 of 285 essays containing the words Forest Time Machine.

  1. 1. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Anastasia Sarelli; [2024]
    Keywords : Geography; GIS; Land Cover Classification; Landsat; Machine Learning; Earth and Environmental Sciences;

    Abstract : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. READ MORE

  2. 2. Android Malware Detection Using Machine Learning

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Rahul Sai Kesani; [2024]
    Keywords : Malware; Machine Learning; Random Forest; Sequential Neural Network.;

    Abstract : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. READ MORE

  3. 3. Detecting Fraudulent User Behaviour : A Study of User Behaviour and Machine Learning in Fraud Detection

    University essay from Uppsala universitet/Analys och partiella differentialekvationer

    Author : Patrik Gerdelius; Sjönneby Hugo; [2024]
    Keywords : Fraud Detection; User Behaviour; Random Forest; PCA; SMOTE;

    Abstract : This study aims to create a Machine Learning model and investigate its performance of detecting fraudulent user behaviour on an e-commerce platform. The user data was analysed to identify and extract critical features distinguishing regular users from fraudulent users. READ MORE

  4. 4. Physical Exercise and Fatigue Detection using Machine Learning

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Filip Säterberg; Rasmus Nilsson; [2024]
    Keywords : Machine Learning; Fatigue Prediction; Data Collection; Supervised learning; Surface Electromyography; Accelerometers; Maskininlärning; Trötthetsförutsägelse; Datainsamling; Övervakad; Ytlig-elektromyografi Accelerometrar;

    Abstract : Monitoring of physical exercise is an important task to evaluate and adapt exercise to provide better exercise results. The Inno-X™ device, developed by Innowearable, is a device that can be used for such monitoring. It collects data using an accelerometer and sEMG sensor. READ MORE

  5. 5. Design of a 2-D Lattice Flower Constellation for Earth observation applying the twin satellite concept

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

    Author : Julia Martín-Fuertes Brañas; [2023]
    Keywords : 2D Lattice Flower Constellation design; number of satellites; number of planes; revisit time; coverage; optimized constellation; target list; twin satellite concept; FreeFlyer; 2D Lattice Flower Constellation design; antal satelliter; antal plan; återbesökstid; täckning; optimerad konstellation; mållista; tvilling-satellit-koncept; FreeFlyer;

    Abstract : Events such as forest fires or floods are a danger to our Earth’s environment and the people living in it. The sooner they can be detected, the less damage they can cause. An idea arises: use satellites to monitor the Earth and relay information to prevention and rescue organizations in a very short time, regardless of accessibility from ground. READ MORE