Sökning: "Reference Applications"

Visar resultat 1 - 5 av 352 uppsatser innehållade orden Reference Applications.

  1. 1. Identification and Classification of TTS Intelligibility Errors Using ASR : A Method for Automatic Evaluation of Speech Intelligibility

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Erik Henriksson; [2023]
    Nyckelord :Automatic Speech Recognition; Natural Language Processing; Speech Technology; Speech Quality Assessment; Text-To-Speech; Taligenkänning; Språkteknologi; Talkvalitetsbedömning; Talsyntes;

    Sammanfattning : In recent years, applications using synthesized speech have become more numerous and publicly available. As the area grows, so does the need for delivering high-quality, intelligible speech, and subsequently the need for effective methods of assessing the intelligibility of synthesized speech. LÄS MER

  3. 2. A Machine Learning Approach on Analysis of Emission Spectra for Application in XFEL Experiments

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för fysik och astronomi

    Författare :Harald Agelii; [2023]
    Nyckelord :Structural biology; Machine learning; Neural networks; emission spectrum; XFEL; X-ray free electron laser; SFX; Serial femtosecond X-ray crystallography; Proteins; Diagnostics;

    Sammanfattning : In this thesis we investigate two potential applications of machine learning in the context of X-ray imaging and spectroscopy of biological samples, particularly such using X-ray free electron lasers (XFEL). We first investigate the possibility of using an emission spectrum, recorded from a sample after being probed by an incident X-ray, as a diagnostic tool. LÄS MER

  4. 3. Towards gradient faithfulness and beyond

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Vincenzo Buono; Isak Åkesson; [2023]
    Nyckelord :XAI; Visual Explanations; CAM; Grad-CAM; Expected Grad-CAM; Hyper Expected Grad; Class Activation Maps; Explainable AI; Faithfulness; Neural Network interpretability; Hyper Resolution CAM; Super Resolution CAM; Natural Encoding;

    Sammanfattning : The riveting interplay of industrialization, informalization, and exponential technological growth of recent years has shifted the attention from classical machine learning techniques to more sophisticated deep learning approaches; yet its intrinsic black-box nature has been impeding its widespread adoption in transparency-critical operations. In this rapidly evolving landscape, where the symbiotic relationship between research and practical applications has never been more interwoven, the contribution of this paper is twofold: advancing gradient faithfulness of CAM methods and exploring new frontiers beyond it. LÄS MER

  5. 4. Air quality prediction in metropolitan areas using deep learning methods

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Augustin Ionut Ionascu; [2023]
    Nyckelord :air quality; forecasting; time-series; univariate; multivariate; multi-step; Attention; Transformer;

    Sammanfattning : The rapid growth of the world's urban population shows that people are increasingly moving to cities. In recent decades, the frequent occurrence of smog caused by increasing industrialization has brought environmental pollution to record highs. LÄS MER

  7. 5. LoRa Radio Performance Analysis Based on AVR-RSS2 and RIOT-OS for Indoor IoT Applications

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :HongShuo Yi; Duosi Dai; [2023]
    Nyckelord :LoRa; Indoor IoT Internet of Things ; Signal strength; Round-trip time RTT ; Goodput; LoRaWAN device classes; AVR-RSS2; RIOT-OS; LoRa; Inomhus-IoT Internet of Things ; Signalstyrka; Rundresa-tid RTT ; Goodput; LoRaWAN klasser; AVR-RSS2; RIOT-OS;

    Sammanfattning : This thesis is dedicated to measuring the communication performance of LoRa technology in an indoor environment and providing insight into its potential application as an effective Internet of Things (IoT) communication solution in Low Power Wide Area Networks (LPWAN). Through careful experimentation and analysis, we assessed various transmission parameters such as spreading factor (SF), bandwidth (BW), Payload Length (PL), and LoRaWAN classes. LÄS MER