Essays about: "feed network"
Showing result 1 - 5 of 128 essays containing the words feed network.
-
1. Android Malware Detection Using Machine Learning
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : 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
-
2. Using Social Media and Personality Predictions to Anticipate Startup Success
University essay from Lunds universitet/Matematisk statistikAbstract : This thesis explores the potential of integrating predicted founder personalities, based on the Big 5 Personality Framework, into Machine Learning (ML) models to enhance the accuracy of early-stage startup success predictions. Leveraging Natural Language Processing (NLP) techniques, we extracted personality insights from founders' tweets, focusing on US startups funded between 2013 and 2015. READ MORE
-
3. Drones for Sea Rescue: Lab and Field Experiments on Camera Gimbal Control
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The objective of this thesis has been to improve the camera controls of a fixed-wing drone to be used in maritime search-and-rescue operations by the Swedish Sea Rescue Society (SSRS). A gimbal control interface (GCI) has been implemented that displays the video feed of the drone camera while taking control inputs from a joystick that moves its view in real-time. READ MORE
-
4. USING ARTIFICIAL NETWORKS IN COMPLEX PROBLEMS ANALYSING PARAMETERS INFLUENCE
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Mathematical statistical models are insufficient for describing complex phenomena. In contrast, Artificial Neural Networks (ANNs), have been used across various complex problem domains for solving problems. ANNs can learn complex patterns and capture non-linear relationships between parameters. READ MORE
-
5. Correlation between Surface and Tumour Motion in Lung Cancer - including Deep Learning Perspectives
University essay from Lunds universitet/SjukhusfysikerutbildningenAbstract : Purpose: The purpose of this master thesis was to retrospectively investigate correlation between surface and tumour motion in lung cancer patients, alongside deep learning applications of the results. Additional correlations such as age, tumour volume and anatomical placement of the tumour were also investigated. READ MORE