Essays about: "edge detection"

Showing result 1 - 5 of 64 essays containing the words edge detection.

  1. 1. Detecting bark beetle damage with Sentinel-2 multi-temporal data in Sweden

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Shuo Yang; [2019]
    Keywords : Physical Geography and Ecosystem Analysis; Remote Sensing; Bark Beetle; Insect Detection; Sentinel-2; Forest Health; Maximum Likelihood; Random Forest; Spectral Signature; Vegetation Indices; Earth and Environmental Sciences;

    Abstract : The European spruce bark beetle is considered as one of the most destructive forest insects to Norway spruce trees in Europe. Climate change may increase the frequency and intensity of bark beetle outbreaks. It is therefore of vital importance to detect the bark beetle outbreaks and take it under control to prevent further damages. READ MORE

  2. 2. Anomaly Detection in Industrial Networks using a Resource-Constrained Edge Device

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Anton Eliasson; [2019]
    Keywords : Machine learning; Anomaly detection; Industrial networks; Profinet; Edge computing; Edge;

    Abstract : The detection of false data-injection attacks in industrial networks is a growing challenge in the industry because it requires knowledge of application and protocol specific behaviors. Profinet is a common communication standard currently used in the industry, which has the potential to encounter this type of attack. READ MORE

  3. 3. Reactive security of IoT communications

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

    Author : Younes Laaboudi; [2019]
    Keywords : ;

    Abstract : IoT networks’ intrinsic vulnerabilities can be protected through intru- sion detection and response systems (IDRS). Anomaly-based intrusion detection offers multiple advantages: it can detect unknown attacks and it can adapt to multiple types of protocols. READ MORE

  4. 4. Classifying Material Defects with Convolutional Neural Networks and Image Processing

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Jawid Heidari; [2019]
    Keywords : artificial neural network; CNN; machine learning; convolutional neural network; image processing;

    Abstract : Fantastic progress has been made within the field of machine learning and deep neural networks in the last decade. Deep convolutional neural networks (CNN) have been hugely successful in imageclassification and object detection. These networks can automate many processes in the industries and increase efficiency. READ MORE

  5. 5. Convolutional Neural Network Quantisation for Accelerating Inference in Visual Embedded Systems

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

    Author : Andrea Leopardi; [2018]
    Keywords : ;

    Abstract : The progress within the field of Deep Learning has enabled the realisationof many Computer Vision tasks with a high level of accuracy.In order to attain such achievements, neural networks have been designedgradually with deeper architectures. READ MORE