Essays about: "tree detection"
Showing result 1 - 5 of 116 essays containing the words tree detection.
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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
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2. Anomaly Detection for Network Traffic in a Resource Constrained Environment
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : 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. READ MORE
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3. Habitat use and activity patterns of three Eulemur species in the forest and restoration areas of Ranomafana and Ankafobe, Madagascar
University essay from SLU/Dept. of Wildlife, Fish and Environmental StudiesAbstract : 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. READ MORE
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4. Scalable Nonparametric L1 Density Estimation via Sparse Subtree Partitioning
University essay from Uppsala universitet/Statistik, AI och data scienceAbstract : 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. READ MORE
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5. Exploring Feature Selection Techniques for Machine Learning-based Melanoma Skin Cancer Classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
