Sökning: "kandidat i datavetenskap"

Visar resultat 1 - 5 av 40 uppsatser innehållade orden kandidat i datavetenskap.

  1. 1. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

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

    Författare :Javier Ferre Martin; [2023]
    Nyckelord :Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

    Sammanfattning : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. LÄS MER

  2. 2. 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

  3. 3. Low-concentration Bacteria Separation from Whole Blood through a Slanted Filter in a Centrifuge Tube

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

    Författare :Kaiyang Zeng; [2023]
    Nyckelord :sepsis; bloodstream infection; bacteria; blood; separation; centrifuge; sedimentation; filter; falcon tube; sepsis; blodsmittsamhet; bakterier; blod; separation; centrifugering; sedimentering; filter; falcon-rör;

    Sammanfattning : Sepsis characterized by severe bloodstream bacterial infection that results in high mortality rates and medical expenses has become a global healthcare challenge. The current clinical sepsis diagnosis is based on blood culture and requires a long waiting time, delaying effective treatments. LÄS MER

  4. 4. Digitalisering av intern hantering av kvalitetsavvikelser

    Kandidat-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Jesper Lindh; Albin Forsberg; [2022]
    Nyckelord :Bachelor thesis; digitalization; questionable assessment; internet of things; industrial internet of things; MVC; Kandidat examensarbete; digitalisering; tveksam bedömning; internet of things; industrial internet of things; MVC;

    Sammanfattning : Projektet riktar sig mot ett företag som är verksamma inom förpackningsindustrin med behandling och hållbarhet av papper. Operatörerna på anläggningen arbetar med att applicera plastbeläggning på papper för att göra det mer resistent mot vätska. LÄS MER

  5. 5. Descriptive Labeling of Document Clusters

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

    Författare :Adam Österberg; [2022]
    Nyckelord :Natural Language Processing; Wikipedia; Topic Modeling; Labeling; Språkteknologi; Wikipedia; Temamodellering; Märkning;

    Sammanfattning : Labeling is the process of giving a set of data a descriptive name. This thesis dealt with documents with no additional information and aimed at clustering them using topic modeling and labeling them using Wikipedia as a second source. Labeling documents is a new field with many potential solutions. LÄS MER