Sökning: "Error Recognition"

Visar resultat 1 - 5 av 107 uppsatser innehållade orden Error Recognition.

1. 1. From Investment to Payoff: Exploring the CostImplications of AI Adoption in InventoryManagement Across the Different Phases

   Kandidat-uppsats, Jönköping University/Internationella Handelshögskolan

   Författare :bashir Kattan; Lilas Sheekh Kalil; Linda Offor-Ugwuka; [2024]
   Nyckelord :;

   Sammanfattning : Background and problem discussion: In recent years, there has been increasing recognition ofArtificial intelligence (AI) and its benefits in various sectors, including inventory management,which is a significant component of company expenses. However, adopting AI in inventorymanagement also comes with challenges and expenses before businesses can fully reap itsbenefits. LÄS MER

3. 2. A Comparative Analysis of Whisper and VoxRex on Swedish Speech Data

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Max Fredriksson; Elise Ramsay Veljanovska; [2024]
   Nyckelord :ASR; Automatic Speech Recognition; Swedish Speech Recognition; Speech Recognition Models; Speech-to-Text; Whisper; VoxRex; Wav2Vec; Model Comparison; Transformer Models; Neural Networks; Machine Learning; WER; Word Error Rate; Transcription;

   Sammanfattning : With the constant development of more advanced speech recognition models, the need to determine which models are better in specific areas and for specific purposes becomes increasingly crucial. Even more so for low-resource languages such as Swedish, dependent on the progress of models for the large international languages. LÄS MER

4. 3. En undersökning av metoder förautomatiserad text ochparameterextraktion frånPDF-dokument med NaturalLanguage Processing

   M1-uppsats, KTH/Hälsoinformatik och logistik

   Författare :Alexander Värling; Emil Hultgren; [2024]
   Nyckelord :portable document format; faktura; digitalisering; IT-lösningar; optisk teckenigenkänning; textextraktion; naturlig språkbehandling; generative pre-trained transformer; portable document format; faktura; digitalisering; IT-lösningar; optisk teckenigenkänning; textextraktion; naturlig språkbehandling; generative pre-trained transformer;

   Sammanfattning : I dagens affärsmiljö strävar många organisationer efter att automatisera processen för att hämta information från fakturor. Målet är att göra hanteringen av stora mängder fakturor mer effektiv. Trots detta möter man utmaningar på grund av den varierande strukturen hos fakturor. LÄS MER

5. 4. Dating of fashion plates (1820-1880) using transfer learning : Recognition of the year of origin of fashion plates

   Master-uppsats, Jönköping University/Jönköping AI Lab (JAIL)

   Författare :Magdalena Dobrzańska; [2023]
   Nyckelord :ai; fashion history;

   Sammanfattning : Fashion history is an integral subfield of history as a whole. Fashion plates provide important evidence of what fashion once looked like and as such are a valuable window into the lives of the people in ages past. LÄS MER

7. 5. 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

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

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

   Sammanfattning : 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. LÄS MER