Essays about: "False Alarms"

Showing result 6 - 10 of 47 essays containing the words False Alarms.

1. 6. Exploring Diversity of Spectral Data in Cloud Detection with Machine Learning Methods : Contribution of Near Infrared band in improving cloud detection in winter images

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

   Author : Nakita Sunil Oza; [2022]
   Keywords : Remote sensing; Multispectral imaging; Cloud detection; Data diversity; Deep learning; Fjärranalys; Multispektral bildbehandling; Molndetektion; Datadiversitet; Djupinlärning;

   Abstract : Cloud detection on satellite imagery is an essential pre-processing step for several remote sensing applications. In general, machine learning based methods for cloud detection perform well, especially the ones based on deep learning as they consider both spatial and spectral features of the input image. READ MORE

3. 7. Increasing the Trustworthiness ofAI-based In-Vehicle IDS usingeXplainable AI

   University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

   Author : Hampus Lundberg; [2022]
   Keywords : Intrusion Detection System; In-Vehicle Intrusion Detection System; Machine Learning; Deep Learning; Explainable Artificial Intelligence; Trustworthiness.;

   Abstract : An in-vehicle intrusion detection system (IV-IDS) is one of the protection mechanisms used to detect cyber attacks on electric or autonomous vehicles where anomaly-based IDS solution have better potential at detecting the attacks especially zero-day attacks. Generally, the IV-IDS generate false alarms (falsely detecting normal data as attacks) because of the difficulty to differentiate between normal and attack data. READ MORE

4. 8. Understanding the behaviour of  IOCs during their lifecycle

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Navya sree Godavarti; Sivani Modali; [2022]
   Keywords : Indicator of compromise IOC ; Cybersecurity; Confidence level of IOC.;

   Abstract : An indicator of compromise is a digital artefact that detects data compromise. They sense the compromise happening, trace the intrusion and collect data. This data includes breached data and the address. All indicators have a limited period of a lifetime, in which these work the best time in their peak. READ MORE

5. 9. Thermal Imaging-Based Instance Segmentation for Automated Health Monitoring of Steel Ladle Refractory Lining

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Emil Bråkenhielm; Kastrati Drinas; [2022]
   Keywords : Computer Vision; Deep Learning; Thermal Imaging; Instance Segmentation; Mask R-CNN; Steel Ladle Breakout Prevention;

   Abstract : Equipment and machines can be exposed to very high temperatures in the steel mill industry. One particularly critical part is the ladles used to hold and pour molten iron into mouldings. A refractory lining is used as an insulation layer between the outer steel shell and the molten iron to protect the ladle from the hot iron. READ MORE

6. 10. Machine Learning for Radar in Health Applications : Using machine learning with multiple radars to enhance fall detection

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Kristoffer Raskov; Oliver Christiansson; [2022]
   Keywords : Machine learning; RNN; Bi-LSTM; radar; sensor fusion; HAR; fall detection; healthcare monitoring; Maskininlärning; RNN; Bi-LSTM; radar; sensor fusion; HAR; falldetektering; hälsoövervakning;

   Abstract : Two mm-wave frequency modulated continuous wave (FMCW) radars were combined with a recurrent neural network (RNN) to perform fall detection. The purpose was to find methods to implement a multi-radar setup for healthcare monitoring and to study the resulting models’ resilience to interference and other obstacles, such as re-arranging the radars in the room. READ MORE