Essays about: "sample thesis of computer use"

Showing result 1 - 5 of 22 essays containing the words sample thesis of computer use.

1. 1. A Comparative Analysis of User Interfaces in the Calling Functionality of Infotainment Systems among Popular Cars in Romania : Investigating UX and Usability Design Principles for In-car Infotainment Systems.

   University essay from Jönköping University/JTH, Avdelningen för datateknik och informatik

   Author : Semi Kandiyoti Eskenazi; Bogdana-Floriana Cimpan; [2023]
   Keywords : Car infotainment systems; User experience; Calling functionality; Interface design; Human-Machine Interface HMI ; European Statement of Principles on HMI; Driver distraction; Road safety; Design patterns.;

   Abstract : As cars become more integrated into people’s lives, the design of in-car infotainment systems has become increasingly important. This thesis explores the user experience and Usability design principles of the calling functionality within the infotainment systems of five of the most common cars in Romania. READ MORE

3. 2. Quality enhancement of time-resolved computed tomography scans with cycleGAN

   University essay from Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

   Author : Johannes Stubbe; [2023]
   Keywords : carbon fibers; carbon fibres; microfibers; tomography; deep learning; cycleGAN; time-resolved tomography; Physics and Astronomy;

   Abstract : Time-resolved x-ray tomography enables us to dynamically and non-destructively study the interior of a specimen. The obtainable temporal resolution is limited by the x-ray flux and the desired spatial resolution. READ MORE

4. 3. Generation of Synthetic Traffic Sign Images using Diffusion Models

   University essay from Linköpings universitet/Datorseende

   Author : Johanna Carlson; Lovisa Byman; [2023]
   Keywords : Machine Learning; Computer Vision; Diffusion Models; Traffic Sign Recognition; Traffic Sign Classification; Synthetic Data; Maskininlärning; Datorseende; Diffusionsmodeller; Trafikskyltsigenkänning; Trafikskyltsklassificering; Syntetisk data;

   Abstract : In the area of Traffic Sign Recognition (TSR), deep learning models are trained to detect and classify images of traffic signs. The amount of data available to train these models is often limited, and collecting more data is time-consuming and expensive. READ MORE

5. 4. Real-time uncertainty estimation for deep learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Árni Dagur Guðmundsson; [2023]
   Keywords : Machine Learning; Deep Learning; Uncertainty Estimation; Evidential Deep Learning; Computer Vision; Maskininlärning; Djupinlärning; Osäkerhetsuppskattning; Evidential Deep Learning; Datorseende; Vélnám; Djúptauganet; Óvissumat; Evidential Deep Learning; Tölvusjón;

   Abstract : Modern deep neural networks do not produce well calibrated estimates of their own uncertainty, unless specific uncertainty estimation techniques are applied. Common uncertainty estimation techniques such as Deep Ensembles and Monte Carlo Dropout necessitate multiple forward pass evaluations for each input sample, making them too slow for real-time use. READ MORE

6. 5. Mispronunciation Detection with SpeechBlender Data Augmentation Pipeline

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yassine Elkheir; [2023]
   Keywords : Computer-assisted pronunciation training CAPT ; Automatic Speech Recognition ASR ; Mispronunciation Detection MD and Data Augmentation; Datorstödd uttalsträning CAPT ; automatisk taligenkänning ASR ; upptäckt av felaktigt uttal MD och dataförstärkning;

   Abstract : The rise of multilingualism has fueled the demand for computer-assisted pronunciation training (CAPT) systems for language learning, CAPT systems make use of speech technology advancements and offer features such as learner assessment and curriculum management. Mispronunciation detection (MD) is a crucial aspect of CAPT, aimed at identifying and correcting mispronunciations in second language learners’ speech. READ MORE