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Showing result 1 - 5 of 40 essays matching the above criteria.

  1. 1. Analysis of speaking time and content of the various debates of the presidential campaign : Automated AI analysis of speech time and content of presidential debates based on the audio using speaker detection and topic detection

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

    Author : Axel Valentin Maza; [2023]
    Keywords : Artificial Intelligence; Speaker detection; Speaker recognition; Speaker diarization; Speaker identification; Debate; Politics; Deep Learning; Artificiell intelligens; talardetektion; talarigenkänning; talardiarisering; talaridentifiering; debatt; politik; djupinlärning;

    Abstract : The field of artificial intelligence (AI) has grown rapidly in recent years and its applications are becoming more widespread in various fields, including politics. In particular, presidential debates have become a crucial aspect of election campaigns and it is important to analyze the information exchanged in these debates in an objective way to let voters choose without being influenced by biased data. READ MORE

  3. 2. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

    University essay from KTH/Mekatronik och inbyggda styrsystem

    Author : Helgi Hrafn Björnsson; Jón Kaldal; [2023]
    Keywords : Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

    Abstract : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. READ MORE

  4. 3. Building a Deep Neural Network From Scratch

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

    Author : Fredrik Sundström; Samppa Raittila; [2023]
    Keywords : ;

    Abstract : Machine learning is becoming increasingly common in our society and is predictedto have a major impact in the future. Therefore, it would be both interesting and valuable tohave a deep understanding of one of the most used algorithms in machine learning, deepneural network. READ MORE

  5. 4. Polar Codes for Biometric Identification Systems

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

    Author : Yicheng Bao; [2022]
    Keywords : Biometrics; Polar codes; Identification systems; Convolutional neural networks; Autoencoder; Privacy preservation; Biometri; Polära koder; Identifieringssystem; Konvolutionella neurala nätverk; Autoencoder; Sekretessskydd;

    Abstract : Biometrics are widely used in identification systems, such as face, fingerprint, iris, etc. Polar code is the only code that can be strictly proved to achieve channel capacity, and it has been proved to be optimal for channel and source coding. READ MORE

  6. 5. Labelling Customer Actions in an Autonomous Store Using Human Action Recognition

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Oskar Areskog; [2022]
    Keywords : artificial intelligence; ai; human action recognition; graph-convolutional neural network;

    Abstract : Automation is fundamentally changing many industries and retail is no exception. Moonshopis a South African venture trying to solve the problem of autonomous grocery storesusing cameras and computer vision. This project is the continuation of a hackathon heldto explore different methods for Human Action Recognition in Moonshop’s stores. READ MORE