Sökning: "ljud experiment med ljud"
Visar resultat 6 - 10 av 56 uppsatser innehållade orden ljud experiment med ljud.
6. Improving active listening behaviours of embodied conversational agents (ECA) from a UX perspective
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Active listening is a communication technique where the listener listens to the speaker carefully and attentively by confirming or asking for more details about what they heard during a conversation. Active listening has proven to be a very useful technique in learning and extracting insightful information from the conversation and poses many challenges when emulating such behaviours in a virtual character. LÄS MER
7. Artificial Neural Networks and Inductive Biases for Multi-Instance Multi-Modal Tabular Data : A Case Study for Default Probability Estimation in Small-to-Medium Enterprise Lending
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The success of artificial neural networks in homogeneous data domains such as images, textual data, and audio and other signals has had considerable impact on Machine Learning and science in general. The domain of heterogeneous tabular data, while arguably much more common, remains much less explored with regards to artificial neural networks and deep learning. LÄS MER
8. The Sound of Smell : Possibilities for communicating an odor with sound aiding olfactory impairment
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With covid-19 affecting people's ability to smell, it might be of interest to find multimodal solutions, where other senses could assist someone with an impaired sense of smell to identify an odor. This area of research lacks data since there has not been many studies on this. LÄS MER
9. Measuring Acoustic Mobility of Particles by Particle Tracking Velocimetry
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Acoustophoresis is a method to manipulate and move cells or particles suspended in a medium using acoustic waves. The speed of the acoustophoretic motion depends on the cells' acoustic mobility, i.e. their size, density and compressibility relative to the medium. LÄS MER
10. Attribute Embedding for Variational Auto-Encoders : Regularization derived from triplet loss
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Techniques for imposing a structure on the latent space of neural networks have seen much development in recent years. Clustering techniques used for classification have been used to great success, and with this work we hope to bridge the gap between contrastive losses and Generative models. LÄS MER
