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Showing result 1 - 5 of 34 essays matching the above criteria.

1. 1. Using GIS and satellite data to assess access of green area for children living in growing cities

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Rebecca Borg; [2024]
   Keywords : Geography; GIS; Geographical Information System; Urban green space; children; schools; Malmö; Earth and Environmental Sciences;

   Abstract : Urban green space (UGS) refers to open spaces within an urban context that are filled with greenery and nature. These can range from very small vegetation to expansive park areas. The common denominator is that they have proven to be beneficial for human health and well-being. Access to green spaces is also important for children. READ MORE

3. 2. SPECIES DELIMITATION IN GENIPA (RUBIACEAE) USING INTEGRATIVE TAXONOMY

   University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap

   Author : Rhonda Ridley; [2022-08-29]
   Keywords : Angiosperms 353; SEM; SECAPR; STACEY; Multi-species Coalescent; Maximum Likelihood; Bayesian inference;

   Abstract : The genus Genipa L. is a widespread, lowland, Neotropical lineage of trees in the coffeefamily, Rubiaceae. There is long-standing disagreement on the number of species thatshould be recognised in the genus. READ MORE

4. 3. Investigating Relations between Regularization and Weight Initialization in Artificial Neural Networks

   University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Author : Rasmus Sjöö; [2022]
   Keywords : Artificial Neural Networks; L1 Regularization; L2 Regularization; Loss Function; Maximum Likelihood; Regularization Strength Synthetic Data Generation; Weight Initialization; Physics and Astronomy;

   Abstract : L2 regularization is a common method used to prevent overtraining in artificial neural networks. However, an issue with this method is that the regularization strength has to be properly adjusted for it to work as intended. This value is usually found by trial and error which can take some time, especially for larger networks. READ MORE

5. 4. Classification of Repeated Measurement Data Using Growth Curves and Neural Networks

   University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

   Author : Kasper Andersson; [2022]
   Keywords : Repeated Measurement Data; Sequential Data; Growth Curve Model; Linear Discriminant Analysis; Neural Network; Recurrent Neural Network; LSTM; Upprepade Mätningar; Sekventiell Data; Tillväxtkurvor; Linjär Diskriminantanalys; Neurala Nätverk; Recurrent Neurala Nätverk; LSTM;

   Abstract : This thesis focuses on statistical and machine learning methods designed for sequential and repeated measurement data. We start off by considering the classic general linear model (MANOVA) followed by its generalization, the growth curve model (GMANOVA), designed for analysis of repeated measurement data. READ MORE

6. 5. Multi-Factor Mobile based Access Control Solution

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : August Larsson; Alvin Ohlsson; [2020]
   Keywords : Indoor positioning Wi-Fi Fingerprinting Magnetic Fingerprinting; Technology and Engineering;

   Abstract : In this thesis, alternatives for replacing an RFID card + PIN based access controlsolution for office buildings with a mobile applications are evaluated. The proposedsolutions are based on a probabilistic fingerprinting approach where distributionsof RSSI are approximated and stored in a fingerprint database during an initialoffline phase. READ MORE