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GLAZE EPOCHS: EXTERNALIZING MATERIAL KNOWLEDGE THROUGH TANGIBLE DATA RECORDS IN A CERAMICS STUDIO
(2021-05-11)
The "material turn" in HCI has placed a renewed focus on informing design from the relationships found in material-based interactions. While several ethnographic works provide insight into how practitioners converse with ...
PREDICT BEHAVIOURAL SCORES IN SLEEP APNEA PATIENTS FROM RESTING STATE NEAR-INFRARED SPECTROSCOPY (fNIRS)
(2021-05-07)
Sleep disorders are common among adults and children; it has serious consequences on their heath, cognitive development and quality of life. However, some sleep disorders are challenging to diagnose and more challenging ...
LEARNING HIERARCHICAL TRAVERSABILITY REPRESENTATION FOR EFFICIENT MULTI-RESOLUTION PATH PLANNING
(2021-05-13)
Path finding on grid-based obstacle maps is an important and much studied problem with applications in robotics and autonomy. Traditionally, in the AI community, heuristic search methods (e.g. based on Dijkstra and A*, or ...
USING SENTIMENT AND EMOTION ANALYSIS OF NEWS ARTICLES TO ANALYZE THE EFFECTS OF LEADER’S STATEMENTS ON COVID-19 SPREAD
(2021-05-09)
Leaders generally include government officials, politicians, etc. Their statements can highly affect people’s decisions in many ways. Currently, in the pandemic situation, many statements were being passed every hour and ...
END-USER FRAMEWORK FOR ROBOT CONTROL
(2021-05-10)
This thesis describes in detail a developed end-user framework for a humanrobot collaborative system for common tasks, such as pick and place. The system is designed for semi-automated pick and place tasks as well as manual ...
CONTINUOUS AMERICAN SIGN LANGUAGE TRANSLATION WITH ENGLISH SPEECH SYNTHESIS USING ENCODER-DECODER APPROACH
(2021-05-09)
Interaction between human beings brings about improvements in science and technology. However, the interaction is limited for people who are deaf or hard-of-hearing, as they can only communicate with others who also know ...
STRUCTURE AWARE HUMAN POSE ESTIMATION USING ADVERSARIAL LEARNING
(2021-05-10)
Pose estimation using Deep Neural Networks (DNNs) has shown outstanding performance in recent years, due to the availability of powerful GPUs and larger training datasets. However, there are still many challenges due to ...
DECOUPLING-BASED APPROACH TO CENTRALITY DETECTION IN HETEROGENEOUS MULTILAYER NETWORKS
(2021-08-13)
Graph analysis is one of the techniques widely used for data analysis. It is used extensively on single graphs. Its ability to capture entities and relationships makes it an attractive data model. Search on graphs, such ...
LOW-DOSE CT IMAGE DENOISING USING DEEP LEARNING METHODS
(2021-05-07)
Low-dose computed tomography (LDCT) has raised highly attention since the counterpart, full-dose computed tomography (FDCT), brings potential ionizing radiation influence to patients. However, LDCT still suffers from several ...