Sökning: "Discovery Networks"

Visar resultat 1 - 5 av 77 uppsatser innehållade orden Discovery Networks.

1. 1. Machine learning for molecular property prediction and drug safety

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Kinga Jenei; [2023-10-23]
   Nyckelord :Molecular property prediction; Acid dissociation constant; pKa; Machine learning; Graph Neural Networks; Molecular descriptors; Drug Discovery;

   Sammanfattning : Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction of pKa values could potentially provide valuable insights on other molecular properties and thereby support compound design. LÄS MER

3. 2. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Laura Murphy; [2023]
   Nyckelord :Near-Earth Object Detection; Machine Learning; Deep Learning; Visual Transformers;

   Sammanfattning : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. LÄS MER

4. 3. Simulation and Testing of a MU-MIMO Beamforming System

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Nazyar Mehdishishavan; Zonghan Wang; [2023]
   Nyckelord :Multi-User Multiple-Input Multiple-Output MU-MIMO ; Beamforming; Sounding Reference Signal SRS ; Reciprocity-based; Butler matrix; Advanced Antenna System AAS ; Technology and Engineering;

   Sammanfattning : Multi-User Multiple-Input Multiple-Output (MU-MIMO) technology has become increasingly important in the field of wireless communication due to its ability to highly increase the capacity and efficiency of wireless networks [1]. Beamforming, as a technique used in MU-MIMO systems, improves network performance by improving signal quality and reducing interference. LÄS MER

5. 4. Neural Networks for Predictive Maintenance on Highly Imbalanced Industrial Data

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Oscar Montilla Tabares; [2023]
   Nyckelord :Class Imbalance; Cost Sensitivity; Cost-Sensitive Learning; Focal Loss; Binary Classification; Machine Learning; Deep Learning;

   Sammanfattning : Preventive maintenance plays a vital role in optimizing industrial operations. However, detecting equipment needing such maintenance using available data can be particularly challenging due to the class imbalance prevalent in real-world applications. LÄS MER

7. 5. Intersecting Graph Representation Learning and Cell Profiling : A Novel Approach to Analyzing Complex Biomedical Data

   Master-uppsats, Uppsala universitet/Institutionen för farmaceutisk biovetenskap

   Författare :Nima Chamyani; [2023]
   Nyckelord :Graph representation learning; Cell profiling; Biological systems; Network medicine; Graphs; Machine learning techniques; Graph neural networks GNNs ; Protein-Compound-Pathway interactions; Biomarkers; Drug discovery;

   Sammanfattning : In recent biomedical research, graph representation learning and cell profiling techniques have emerged as transformative tools for analyzing high-dimensional biological data. The integration of these methods, as investigated in this study, has facilitated an enhanced understanding of complex biological systems, consequently improving drug discovery. LÄS MER