Sökning: "Image Fusion"
Visar resultat 1 - 5 av 82 uppsatser innehållade orden Image Fusion.
1. Where to Fuse
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : This thesis investigates fusion techniques in multimodal transformer models, focusing on enhancing the capabilities of large language models in understanding not just text, but also other modalities like images, audio, and sensor data. The study compares late fusion (concatenating modality tokens after separate encoding) and early fusion (concatenating before encoding) techniques, examining their respective advantages and disadvantages. LÄS MER
2. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction
Master-uppsats, Uppsala universitet/Nationellt resurscentrum för biologi och bioteknikSammanfattning : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. LÄS MER
3. Building Information Modeling Connection Recommendation Based on Machine Learning Using Multimodal Information
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Den ökande komplexiteten i byggprojekt ger upphov till behovet av ett effektivt sätt att designa, hantera och underhålla strukturer. Byggnadsinformationsmodellering (BIM) underlättar dessa processer genom att tillhandahålla en digital representation av fysiska strukturer. LÄS MER
4. Improving the guidance, navigation and control design of the KNATTE platform
Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : For complex satellite missions that rely on agile and high-precision manoeuvres, the low-friction aspect of the space environment is a critical component in understanding the attitude control dynamics of the spacecraft. The Kinesthetic Node and Autonomous Table-Top Emulator (KNATTE) is a three-degree-of-freedom frictionless vehicle that serves as the foundation of a multipurpose platform for real-time spacecraft hardware-in-the-loop experiments, and allows emulation of these conditions in two dimensions with the purpose of validating various guidance, navigation, and control algorithms. LÄS MER
5. Infrared and Visible Image Fusion with an Unsupervised Network
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Image fusion is a technique that aims to combine semantic information from different source images into a new synthesized image that contains information from both source images. It is a technique that can be useful in many different areas, such as reconnaissance, surveillance and medical diagnostics. LÄS MER