Essays about: "effectiveness metrics"

Showing result 1 - 5 of 118 essays containing the words effectiveness metrics.

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. Evaluation of Swedish daylight regulations in university building - Validation and applicability

   University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

   Author : Cédric Berthou; [2024]
   Keywords : Daylight; Sweden; University building; modelling; Grasshopper; building performance simulation; Dagsljus; svenska föreskrifter; universitetsbyggnad; 3D-modellering; Grasshopper;

   Abstract : Daylight availability in buildings faces numerous challenges in a world where energy efficiency,thermal comfort, and sustainability take center stage. Daylight is well-known for its role in reducingartificial lighting consumption and enhancing the well-being and performance of building occupants. READ MORE

4. 3. Variational AutoEncoders and Differential Privacy : balancing data synthesis and privacy constraints

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

   Author : Baptiste Bremond; [2024]
   Keywords : TVAE; Differential privacy; Tabular data; Synthetic data; DP-SGD; TVAE; differentiell integritet; tabelldata; syntetiska data; DP-SGD;

   Abstract : This thesis investigates the effectiveness of Tabular Variational Auto Encoders (TVAEs) in generating high-quality synthetic tabular data and assesses their compliance with differential privacy principles. The study shows that while TVAEs are better than VAEs at generating synthetic data that faithfully reproduces the distribution of real data as measured by the Synthetic Data Vault (SDV) metrics, the latter does not guarantee that the synthetic data is up to the task in practical industrial applications. READ MORE

5. 4. Potential and Limitations of the Sketch Map Tool in the International Red Cross Red Crescent Movement

   University essay from Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

   Author : Kimon Letzner; [2024]
   Keywords : Disaster risk reduction; Participatory action research; Community risk mapping; International Red Cross Red Crescent Movement; Colombia; Technology and Engineering;

   Abstract : In disaster risk management, participatory mapping (PM) closes spatial data gaps in communities by integrating local risk knowledge. The thesis examined the potential and limitations of the Sketch Map Tool (SMT) as a PM tool for community-based disaster risk reduction (DRR) through an International Red Cross Red Crescent Movement case study. READ MORE

6. 5. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment

   University essay from

   Author : Venkata Vamsi Challa; [2024]
   Keywords : Semantic Segmentation; Scene Classification; Environment Recognition; Machine Learning; Deep Learning; Image Classification; Vision Transformers; SAM Segment Anything Model ; Image Segmentation; Contour-aware semantic segmentation;

   Abstract : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. READ MORE