Essays about: "graph comparison"

Showing result 1 - 5 of 76 essays containing the words graph comparison.

1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Nikolaos Staikos; [2024]
   Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

   Abstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE

3. 2. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jiaming Huang; [2023]
   Keywords : ;

   Abstract : 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. READ MORE

4. 3. Comparison of deep learning and model-based approaches for spatial profiling of the immune tumor environment on multiplex image data

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Esraa Ahmed; [2023]
   Keywords : ;

   Abstract : The demographics of the tumor microenvironment (TME) impact the Immunotherapy responses for lung cancer patients. Given the heterogeneity of immune cells present within TME, the distribution patterns of different subpopulations of T-cells can be exploited to predict short-term or long-term survival of lung cancer patients. READ MORE

5. 4. An experimental analysis of Link Prediction methods over Microservices Knowledge Graphs

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Gianluca Ruberto; [2023]
   Keywords : Knowledge Graphs; Link Prediction; Machine Learning; Microservice Tracing; Kunskapsdiagram; länkförutsägelse; maskininlärning; mikroservicespårning;

   Abstract : Graphs are a powerful way to represent data. They can be seen as a collection of objects (nodes) and the relationships between them (edges or links). The power of this structure has its intrinsic value in the relationship between data points that can even provide more information than the data properties. READ MORE

6. 5. CONNECTING THE DOTS : Exploring gene contexts through knowledge-graph representations of gene-information derived from scientific literature

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Henrietta Hellberg; [2023]
   Keywords : Knowledge graph construction; Information extraction; Knowledge Graphs; Next-Generation Sequencing; Gene contextualization; Kunskapsgrafkonstruktion; Informationsextraktion; Kunskapsgrafer; Next-Generation Sequencing; Kontextualisering av gener;

   Abstract : Analyzing the data produced by next-generation sequencing technologies relies on access to information synthesized based on previous research findings. The volume of data available in the literature is growing rapidly, and it is becoming increasingly necessary for researchers to use AI or other statistics-based approaches in the analysis of their datasets. READ MORE