Sökning: "injicera"
Visar resultat 1 - 5 av 54 uppsatser innehållade ordet injicera.
1. Developing a protocol for 3D-printable bioink from decellularised porcine tissue
Master-uppsats, Lunds universitet/Livsmedelsteknik och nutrition (master)Sammanfattning : T-cell administration via a scaffold is a promising tool for treatment of inoperable solid tumours. Traditional scaffold materials lack the complexity of the extracellular matrix (ECM) that cells normally grow in. An alternative is to instead use decellularised ECM (dECM) from biological tissue to create the scaffold. LÄS MER
2. Indocyanine-green fluorescence imaging to detect anastomotic insufficiency after esophagectomy
Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/FörbränningsfysikSammanfattning : This research project is concerned with the development of simulation models and image analysis algorithms, as well as instrumentation for characterizing anastomotic leakages after a patient has undergone surgery for esophageal cancer. Anastomotic leakage is a high-incidence complication after esophagectomy, a surgical procedure for esophageal cancer. LÄS MER
3. Dasty : Revealing Real-World Prototype Pollution Consequences with Dynamic Taint Analysis
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Prototype pollution is a vulnerability in JavaScript and other prototype-based languages that allows malicious actors to inject a property into an object’s prototype. The injected property can subsequently trigger gadgets - source code sections that use the properties in sensitive locations. LÄS MER
4. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. LÄS MER
5. Outlier Robustness in Server-Assisted Collaborative SLAM : Evaluating Outlier Impact and Improving Robustness
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In order to be able to perform many tasks, autonomous devices need to understand their environment and know where they are in this environment. Simultaneous Localisation and Mapping (SLAM) is a solution to this problem. LÄS MER