Sökning: "feed network"
Visar resultat 1 - 5 av 157 uppsatser innehållade orden feed network.
1. Android Malware Detection Using Machine Learning
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : 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. LÄS MER
2. Du kan inte lura ett barn, eller? - En undersökning om barns skydd vid personifierad onlinereklam
Kandidat-uppsats, Lunds universitet/Institutionen för handelsrättSammanfattning : With the development of digitalization, personalized online advertising has grown worldwide. This means that companies, through so-called Cookies, collect personal data about the consumer to then create online advertising based on the consumer's interests. LÄS MER
3. Using Social Media and Personality Predictions to Anticipate Startup Success
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : 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. LÄS MER
4. Drones for Sea Rescue: Lab and Field Experiments on Camera Gimbal Control
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : 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. LÄS MER
5. USING ARTIFICIAL NETWORKS IN COMPLEX PROBLEMS ANALYSING PARAMETERS INFLUENCE
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : 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. LÄS MER