Sökning: "tree detection"

Visar resultat 1 - 5 av 124 uppsatser innehållade orden tree detection.

1. 1. Android Malware Detection Using Machine Learning

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

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

   Sammanfattning : 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

3. 2. Anomaly Detection for Network Traffic in a Resource Constrained Environment

   Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Pontus Lidholm; Gaia Ingletto; [2023]
   Nyckelord :Network Traffic; Anomaly Detection; Embedded Systems; Machine Learning; Random Forest;

   Sammanfattning : Networks connected to the internet are under a constant threat of attacks. To protect against such threats, new techniques utilising already connected hardware have in this thesis been proven to be a viable solution. LÄS MER

4. 3. Habitat use and activity patterns of three Eulemur species in the forest and restoration areas of Ranomafana and Ankafobe, Madagascar

   Master-uppsats, SLU/Dept. of Wildlife, Fish and Environmental Studies

   Författare :Nicole Scholte Lubberink; [2023]
   Nyckelord :fragmentation; anthropogenic deforestation; camera traps; occupancy modelling; detection probability;

   Sammanfattning : Anthropogenic deforestation is a major threat to forest environments, as it leads to habitat loss and fragmentation. Many species suffer from these consequences due to reduced resource availability or connectivity. Forests in Madagascar have drastically been reduced in the past few centuries. LÄS MER

5. 4. Scalable Nonparametric L1 Density Estimation via Sparse Subtree Partitioning

   Master-uppsats, Uppsala universitet/Statistik, AI och data science

   Författare :Axel Sandstedt; [2023]
   Nyckelord :density estimation; scalable density estimation; nonparametric density estimation; scalable nonparametric density estimation; L1; L_1; anomaly detection; regression analysis;

   Sammanfattning : We consider the construction of multivariate histogram estimators for any density f seeking to minimize its L1 distance to the true underlying density using arbitrarily large sample sizes. Theory for such estimators exist and the early stages of distributed implementations are available. LÄS MER

7. 5. Exploring Feature Selection Techniques for Machine Learning-based Melanoma Skin Cancer Classification

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Thomas Eriksson Mueller; Viktor Fornstad; [2023]
   Nyckelord :Machine Learning; Feature Selection; Melanoma; Computer Aided Diagnosis; Bachelor Thesis; Maskininlärning; Attributurval; Melanom; Datorstödd Diagnostik; Kandidatarbete;

   Sammanfattning : One of the most globally common types of cancer is skin cancer, where melanoma is the most deadly form. An important and promising tool for diagnosing diseases such as skin cancer is computer aided diagnostics, a tool which utilizes machine learning to predict and classify cancer. LÄS MER