Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 25 for “"DBN"”.
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An evaluation of development finance and employment creation since 2004 - 2014: A case study of the Development Bank of Namibia (DBN)
… that various enterprises benefited from DBN loans over years especially the construction industry and that loans and employment per annum were N$ 521.59 million and 6016 jobs respectively. These findings were similar to what other researchers have discovered in similar studies for example …
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Data Mining Approches to Complex Environmental Problems
… neural networks) and dynamic Bayesian network (DBN) models of the sensor data stream. All of the developed methods perform fast, incremental evaluation of data as it becomes available; scale to large quantities of data; and require no a priori information, regarding process variables or types of …
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An assessment of the onset of summer rainy season in Southern Africa - case study of Botswana
… Awareness (ESA) for dynamic Bayesian networks (DBN) was used to analyze this data. The ESA for DBN models temporal dependencies among the weather parameters and climate indices using Direct Acyclic Graphs (DAG). This innovative DBN technology, ESA, reveals more detailed information from complex …
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Modelling the Baltic Sea food web with a Dynamic Bayesian Network with hidden variables
… on. This thesis fits a Dynamic Bayesian Network (DBN) model to one such ecosystem, the Baltic Sea. Three versions of a DBN of the Gotland Basin food web are fitted to data, to evaluate the role of different setup of hidden variables. The hidden variables were able to find similar patterns and …
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Development of an innovative business-oriented probability-based maintenance (BOPM) methodology for ship machinery systems
… uses an innovative Dynamic Bayesian Network (DBN) with first order Markov Chains to predict the future probabilistic pattern of each system monitored from the vessel. Afterward, net cost analysis is performed using cost values modified by company MPIs inside utility and decision nodes added to …
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Investigating Tafheet as a Unique Driving Style Behaviour
… behaviour. Thus, the dynamic Bayesian Network (DBN) framework was applied to perform reasoning relating to the uncertainty associated with driver’s behaviour and to deduce the possible combinations of the driver’s behaviour based on the information gathered by the system about the foregoing …
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A temporal prognostic model based on dynamic Bayesian networks: mining medical insurance data
… of the clinical domain, and the nature of the DBN modelling and inference process itself. The challenges from the clinical domain include insufficient knowledge of temporal interactions of processes in the medical literature, the sparse nature and variability of medical data collection, and the …
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Context Aware Drivers' Behaviour Detection System for VANET
… introduced a novel Dynamic Bayesian Network (DBN) framework to perform reasoning about uncertainty and to deduce the behaviour of drivers by combining information regarding the above mentioned factors. A novel On Board Unit (OBU) architecture for detecting the behaviour of the driver has been …
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An evaluation of the maturity profile of the performance management system of the Development Bank of Namibia
… at the Development Bank of Namibia (the DBN) in 2013, and to identify potential strengths and areas of development. A review of performance management (PM) assessment models identified Jääskeläinen and Roitto's (2015) PM maturity model as the most suitable assessment framework. The PM …
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A Context Aware Classification System for Monitoring Driver’s Distraction Levels
… Thirdly, a Dynamic Bayesian Network (DBN) for the prediction of driver distraction. The study further proposes the Multiclass Driver Distraction Risk Assessment (MDDRA) model, which can be adopted in a context-aware driving distraction scenario. Finally, a 3-way hybrid CNN-DBN-LSTM …
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Comparative Study of Dimension Reduction Approaches With Respect to Visualization in 3-Dimensional Space
… Analysis), SVD (Singular Value Decomposition), DBN (Deep Belief Networks) and Stacked Auto-encoders. This thesis is intended to ultimately show which technique performs best for dimension reduction with the help of studied experiments.</p>
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Dynamic Bayesian Networks for Information Fusion With Applications to Human-Computer Interfaces
… approach based on dynamic Bayesian networks (DBNs). As a generalization of the successful hidden Markov models, DBNs are a natural basis for the general temporal action interpretation task. The problem of interpretation of single or multiple interacting modalities can then be viewed as a …
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Développement d'un nouvel outil de stéganalyse pour la stéganographie vocale en utilisant l'apprentissage profond et les algorithmes évolutionnaires
… Stéganographie audio, Stéganalyse audio, DBN, MFCC, SVMs, GMMs, RBMs, EAs, PSO, CSO, ABC, GA."--Résumé.
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Relating an archive of in situ vertical chlorophyll-a profiles to concurrent remotely sensed surface data
… viability of using a Dynamic Bayesian Network (DBN) in predicting a representative profile per pixel of a satellite map based on a database of time series satellite surface data. In this study, 5813 in situ profiles were obtained from the highly dynamic upwelling region around the southwestern …
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Unsupervised speech processing with applications to query-by-example spoken term detection
… the training of large Deep Belief Networks (DBNs) on Graphical Processing Units (GPUs). The phonetic classification experiment on the TIMIT corpus showed a speed-up of 36x for pre-training and 45x for back-propagation for a two-layer DBN trained on the GPU platform compared to the CPU …
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An exploration of government financial support towards the sustainability of accommodation facilities during COVID-19 in Namibia
… through the Development Bank of Namibia (DBN) and other commercial banks, and are meant to boost production. However, the B & B and Lodges rely on local and international visitors who may require accommodation, hence these loans cannot do much to boost production but rather leave the …
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Bis-and tris (amidine) fluoroboron cations and related systems studies by Multinuclear NMR and fast atom bombardment mass spectometry
… (DBU) and 1,5-diazabicyclo[4,3,O]non-5-ene (DBN), extremely strong organic bases, were introduced into the fluoroboron cation systems and induced a complicated redistribution reaction in the D/BF3/BC13 systems. The result was the formation of all BFnCI4-n-, D.BFnCI3-n and fluoroboron cation …
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Word based off-line handwritten Arabic classification and recognition. Design of automatic recognition system for large vocabulary offline handwritten Arabic words using machine learning approaches.
… models (HMMs), and the Dynamic Bayesian Network (DBN). To test this concept, the particular pattern recognition problem studied is the classification of 32492 words using ii the IFN/ENIT database. The results were promising and very encouraging in terms of improved baseline detection and word …
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Highly Accurate Fragment Library for Protein Fold Recognition
… stage employs a multimodal Deep Belief Network (DBN) to predict the potential structural fragments given a sequence, represented as a fragment vector, and then the second stage uses a deep convolution neural network (CNN) to classify the fragment vectors into the corresponding folds. Our results …
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Word based off-line handwritten Arabic classification and recognition. Design of automatic recognition system for large vocabulary offline handwritten Arabic words using machine learning approaches.
… models (HMMs), and the Dynamic Bayesian Network (DBN). To test this concept, the particular pattern recognition problem studied is the classification of 32492 words using ii the IFN/ENIT database. The results were promising and very encouraging in terms of improved baseline detection and word …
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