Essays about: "the impact of computer"

Showing result 1 - 5 of 470 essays containing the words the impact of computer.

1. 1. 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

3. 2. Incremental Re-tokenization in BPE-trained SentencePiece Models

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Simon Hellsten; [2024]
   Keywords : BPE; Byte Pair Encoding; SentencePiece; NLP; Natural Language Processing; Tokenization; Re-tokenization;

   Abstract : This bachelor's thesis in Computer Science explores the efficiency of an incremental re-tokenization algorithm in the context of BPE-trained SentencePiece models used in natural language processing. The thesis begins by underscoring the critical role of tokenization in NLP, particularly highlighting the complexities introduced by modifications in tokenized text. READ MORE

4. 3. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments

   University essay from Linköpings universitet/Datorseende

   Author : Erica Ingerstad; Liv Kåreborn; [2024]
   Keywords : NeRF; Neural Radiance Field; Satellite Imagery; Machine Learning; Deep Learning;

   Abstract : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. READ MORE

5. 4. MONEY ON (THE) LINE : A Quantitative Study on the Effects of Different Types of Digital Government Services on Petty Corruption

   University essay from Uppsala universitet/Statsvetenskapliga institutionen

   Author : Victor Hasslöf; [2024]
   Keywords : E-government; E-governance; E-services; E-service; electronic; government; governance; digital; government; service; services; digital; digitalization; computer; public; sector; informational; transactional; corruption; petty; crime; economics; quantitative; analysis; 2014; 2013; EGDI; online; index; subindex; disaggregate; conceptualization; data; E-tjänst; E-services; digitalisering; digital; tjänst; offentlig; sektor; korruption; tjänstemannakorruption; information; transaktion; brottsekonomi; dator; ekonomi; kvantitativ; analys; 2014; 2015; EGDI; online; index; underindex; disaggregerad; konceptualisera; data;

   Abstract : Previous research indicates that improving digital government services may contribute to the reduction of corruption. This study seeks to deepen the knowledge of this suggested causal link in several ways. Firstly, it adds nuance by examining the effects of two distinct sub-types of digital government services on specifically petty corruption. READ MORE

6. 5. A type-driven approach for sensitivity checking with branching

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Daniel Freiermuth; [2023-10-24]
   Keywords : Computer; science; computer science; thesis; differential privacy; type system; sensitivity; branching;

   Abstract : Differential Privacy (DP) is a promising approach to allow privacy preserving statistics over large datasets of sensitive data. It works by adding random noise to the result of the analytics. Understanding the sensitivity of a query is key to add the right amount of noise capable of protecting privacy of individuals in the dataset. READ MORE