Essays about: "social Network performance in"

Showing result 1 - 5 of 107 essays containing the words social Network performance in.

  1. 1. Image Quality Assessment Pipeline and Semi-Automated Annotation method for Synthetic Data

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

    Author : Liam Le Tran; Edina Dedovic; [2023-10-24]
    Keywords : Facial Expression Recognition; FACS; Action Units; styleGAN2-ada; synthetic data; Image Quality Assessment; Multi-stage Pre-training; Pipeline Processing; Semi-automated Human Annotation;

    Abstract : Predicting human emotions through facial expression, particularly in relation to medication field such as clinical trial settings, has garnered scientific interest in recent years due to significant understanding of the impact of treatment on emotions and social functioning. This thesis aims to improve performance of a FER model using large scale of synthetic data. READ MORE

  3. 2. Deep Learning Based Sentiment Analysis

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Shashank Kalluri; [2023]
    Keywords : Sentiment Analysis; Word Embedding; Deep Learning;

    Abstract : Background: Text data includes things like customer reviews and complaints,tweets from social media platforms. When analyzing text-based data, the SentimentModel is used. Understanding news headlines, blogs, the stock market, politicaldebates, and film reviews some of the areas where sentiment analysis is used. READ MORE

  4. 3. Towards a Geographic Information Systems and Data-Driven Integration Management.

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Takura Matswetu; [2023]
    Keywords : Migrant Integration; Geography; Physical Geography; GIS; Network Analysis; Tampere; Accessibility; Data-driven decision making; Holistic Integration Index; Mathematics and Statistics; Social Sciences; Earth and Environmental Sciences;

    Abstract : Integration management in Finland and Tampere is broad task including multiple actors and departments. To manage integration, is to coordinate the cross organizational cooperation of multiple service structures that support migrants with different kinds of services. READ MORE

  5. 4. Digital Front End Algorithms for Sub-Band Full Duplex

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Midhat Rizvi; Khaled Al-Khateeb; [2023]
    Keywords : Adjacent Channel Leakage Ratio; Bit Error Rate; Clipping and Filtering; Crest Factor Reduction; Digital front end; Digital Pre-Distortion Error Vector Magnitude; Frequency Division Duplex; Power Amplifier; Peak to Average Power Ratio; Peak Cancellation Crest Factor Reduction; Sub Band Full Duplex; Self-Interference Cancellation; Signal-to-Interference Noise Ratio; Signal-to-Noise Ratio; Turbo Clipping; Time Division Duplex; Technology and Engineering;

    Abstract : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. READ MORE

  6. 5. Artificial Neural Networks for Financial Time Series Prediction

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Dana Malas; [2023]
    Keywords : artificial neural networks; time series analysis; deep learning; finance; long short-term memory; simple moving average;

    Abstract : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. READ MORE