Essays about: "Information fusion"
Showing result 1 - 5 of 147 essays containing the words Information fusion.
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1. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction
University essay from Uppsala universitet/Nationellt resurscentrum för biologi och bioteknikAbstract : 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. READ MORE
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2. Commissioning of ITER heat rejection system for low load
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : This project has commissioned the control logic of the Heat Rejection System (HRS) at ITER, the international fusion project. The HRS is a large system, including 10 cooling towers, 13 pumps, and pipes large enough for a water flow of several thousand kg/s. All of this will becontrolled with automatic control logic. READ MORE
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3. Dynamic Object Removal for Point Cloud Map Creation in Autonomous Driving : Enhancing Map Accuracy via Two-Stage Offline Model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous driving is an emerging area that has been receiving an increasing amount of interest from different companies and researchers. 3D point cloud map is a significant foundation of autonomous driving as it provides essential information for localization and environment perception. READ MORE
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4. Traffic State Estimation on Swedish Highways : Model Comparison using Multisource Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Due to the escalating demand for traffic information and management, the significance of traffic state estimation, which involves the assessment of traffic conditions on road segments with limited measurement data, is increasing. Two primary estimation methods are model-driven and data-driven. READ MORE
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5. Building Information Modeling Connection Recommendation Based on Machine Learning Using Multimodal Information
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE