Essays about: "non objective test"
Showing result 6 - 10 of 122 essays containing the words non objective test.
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6. Comparison between the SiP-test (Situated Phoneme test) and conventional Swedish SIN (TiB)-test (Speech in Noise Test). : An experimental comparison of two methods for speech perception in people with Arabic as mother tongue.
University essay from Örebro universitet/Institutionen för hälsovetenskaperAbstract : Background: The difficulties for people to understand and perceive speech in second languages in the presence of background noise is well documented in the literature. Similar difficulties have been reported in bilinguals. READ MORE
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7. Through the Blur with Deep Learning : A Comparative Study Assessing Robustness in Visual Odometry Techniques
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : In this thesis, the robustness of deep learning techniques in the field of visual odometry is investigated, with a specific focus on the impact of motion blur. A comparative study is conducted, evaluating the performance of state-of-the-art deep convolutional neural network methods, namely DF-VO and DytanVO, against ORB-SLAM3, a well-established non-deep-learning technique for visual simultaneous localization and mapping. READ MORE
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8. Using Requirement-Driven Symbolic Execution to Test Implementations of the CoAP and EDHOC Network Protocols
University essay from Uppsala universitet/DatalogiAbstract : As the number of Internet of Things devices is increasing rapidly, it is of utmost significance that the implementations of protocols for constrained devices are bug-free. In general implementations of network protocols are error-prone due to their complex nature and ambiguities in the protocol specification. READ MORE
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9. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization
University essay from Lunds universitet/Matematik LTHAbstract : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. READ MORE
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10. Predicting corporate financial distress- A deep neural network approach
University essay from Göteborgs universitet/Graduate SchoolAbstract : Background. Predicting bankruptcy is of great importance for creditors, investors and other stakeholders. Early warning signs of financial distress allow stakeholders to take action to minimize the negative consequences of a bankruptcy. READ MORE