Essays about: "characteristics of computer science"

Showing result 1 - 5 of 21 essays containing the words characteristics of computer science.

1. 1. Analyzing the Influence of Synthetic andAugmented Data on Segmentation Model

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Alex Peschel; [2023]
   Keywords : Artificial Intelligence; Microorganisms; Segmentation; Synthesizing; Augmentation;

   Abstract : The field of Artificial Intelligence (AI) has experienced unprecedented growth in recent years, thanks to the numerous applications related to speech recognition, natural language processing, and computer vision. However, one of the challenges facing AI is the requirement for large amounts of energy, time, and data to be effective and accurate. READ MORE

3. 2. Predicting Airbnb Prices in European Cities Using Machine Learning

   University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

   Author : Shalini Gangarapu; Venkata Surya Akash Mernedi; [2023]
   Keywords : Machine Learning; Supervised Learning; Regression Algorithms; Airbnb Price Prediction;

   Abstract : Background: Machine learning is a field of computer science that focuses on creating models that can predict patterns and relations among data. In this thesis, we use machine learning to predict Airbnb prices in various European cities to help the hosts in setting reasonable prices for their properties. READ MORE

4. 3. Messing With The Gap: On The Modality Gap Phenomenon In Multimodal Contrastive Representation Learning

   University essay from Uppsala universitet/Industriell teknik

   Author : Mohammad Al-Jaff; [2023]
   Keywords : Multimodal machine learning; Representation learning; Self-supervised learning; contrastive learning; computer vision; computational biology; bioinformatics;

   Abstract : In machine learning, a sub-field of computer science, a two-tower architecture model is a specialised type of neural network model that encodes paired data from different modalities (like text and images, sound and video, or proteomics and gene expression profiles) into a shared latent representation space. However, when training these models using a specific contrastive loss function, known as the multimodalinfoNCE loss, seems to often lead to a unique geometric phenomenon known as the modality gap. READ MORE

5. 4. Transfer Learning for Automatic Author Profiling with BERT Transformers and GloVe Embeddings

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Viktor From; [2022]
   Keywords : machine learning; natural language processing; author profiling; transfer learning; reddit; twitter; glove; bert;

   Abstract : Historically author profiling has been used in forensic linguistics. However, it is not until the last decades that the analysis method has worked into computer science and machine learning. In comparison, determining author profiling characteristics in machine learning is nothing new. READ MORE

6. 5. Identifying users based on their VR behavioral patterns

   University essay from Örebro universitet/Institutionen för naturvetenskap och teknik

   Author : Nicklas Ritola; [2022]
   Keywords : Virtual Reality; Biometric; Beha ioral Pattern; Teleoperation; identification; Machine Learn­ing; Data Collection; Computer Science; Computer Engineering;

   Abstract : A$ Virtual Reality (VR) becomes increasingly popular and affordable, and is applied in other fields than entertainment, such as education and industrial use, there is also a grow­ing risk related to its integrity and security. VR equipment tracks user biometric data as a means to interact with the VR environment, which creates sets of biometric data that could be used to identify u ers. READ MORE