Sökning: "Application of computer in work area"
Visar resultat 1 - 5 av 61 uppsatser innehållade orden Application of computer in work area.
1. aiLangu - Real-time Transcription and Translation to Reduce Language Barriers : An Engineering Project to Develop an Application for Enhancing Human Verbal Communication
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The research area this report relates to is real-time automatic transcription and translation. The purpose of the work done for the report is to reduce the perceived language barriers online and to make a user-friendly application to make use of the latest deep learning technology to transcribe and translate in real-time. LÄS MER
2. Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : BACKGROUND. Early and accurate detection of infectious respiratory diseases like COVID-19 and tuberculosis (TB) plays a crucial role in effective management and the reduction of preventable mortality. LÄS MER
3. Investigations of miR-34a structure and dynamics by SHAPE MaP and optimal time between transfection and modification by qPCR
Master-uppsats, KTH/ProteinvetenskapSammanfattning : microRNA (miRNA) är korta icke-kodande RNA sekvenser som har fått ökande uppmärksamhet då de kan binda till mRNA och styra vårt genuttryck. Omkring trettio procent av våra proteinkodande gener styrs av miRNA. miRNA binder till mRNA vilket hindrar dess translation eller leder till nedbrytning av mRNA. LÄS MER
4. A study of Eye-tracking properties utilizing Tobii Eye Tracker 5
Master-uppsats, Högskolan i Gävle/Avdelningen för elektroteknik, matematik och naturvetenskapSammanfattning : Eye-tracking is the process of determining the point where the viewer is looking at. Therefore, an eye tracker is a device that measures eye positions and eye movements. Over the recent few years, eye trackers are being used in research in the area of medical technology, visual system, rehabilitation, and human-computer interaction. LÄS MER
5. Estimation of dissolved organic carbon from inland waters using remote sensing data and machine learning
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : This thesis presents the first attempt to estimate Dissolved Organic Carbon (DOC) in inland waters over a large-scale area using satellite data and machine learning (ML) methods. Four ML approaches, namely Random Forest Regression (RFR), Support Vector Regression (SVR), Gaussian Process Regression (GPR), and a Multilayer Backpropagation Neural Network (MBPNN) were tested to retrieve DOC using a filtered version of the recently published open source AquaSat dataset with more than 16 thousand samples across the continental US matched with satellite data from Landsat 5, 7 and 8 missions. LÄS MER