Sökning: "error processing"

Visar resultat 1 - 5 av 313 uppsatser innehållade orden error processing.

1. 1. 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

3. 2. Heart rate estimation from wrist-PPG signals in activity by deep learning methods

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

   Författare :Marie-Ange Stefanos; [2023]
   Nyckelord :Deep Learning; Medical Data; Signal Processing; Heart Rate Estimation; Wrist Photoplethysmography; Djup lärning; Medicinska Data; Signalbehandling; Pulsuppskattning; Handledsfotopletysmograf;

   Sammanfattning : In the context of health improving, the measurement of vital parameters such as heart rate (HR) can provide solutions for health monitoring, prevention and screening for certain chronic diseases. Among the different technologies for HR measuring, photoplethysmography (PPG) technique embedded in smart watches is the most commonly used in the field of consumer electronics since it is comfortable and does not require any user intervention. LÄS MER

4. 3. Machine Learning model applied to Reactor Dynamics

   Master-uppsats, KTH/Fysik

   Författare :Dionysios Dimitrios Nikitopoulos; [2023]
   Nyckelord :Master Thesis; Machine Learning; stability; Energy distribution profiles; Prediction; frequency; decay ratio; Data processing; POLCA-T; Pytorch; testing data; RMSE. ii;

   Sammanfattning : This project’s idea revolved around utilizing the most recent techniques in MachineLearning, Neural Networks, and Data processing to construct a model to be used asa tool to determine stability during core design work. This goal will be achieved bycollecting distribution profiles describing the core state from different steady statesin five burn-up cycles in a reactor to serve as the dataset for training the model. LÄS MER

5. 4. Evaluating and Fine-Tuning a Few-Shot Model for Transcription of Historical Ciphers

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Ingrid Eliasson; [2023]
   Nyckelord :historical ciphers; few-shot learning; automatic transcription;

   Sammanfattning : Thousands of historical ciphers, encrypted manuscripts, are stored in archives across Europe. Historical cryptology is the research field concerned with studying these manuscripts - combining the interest of humanistic fields with methods of cryptography and computational linguistics. LÄS MER

7. 5. Iot-based Saline Volume Monitoring and Alert System

   Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola

   Författare :Kotti Dinesh; Narendra Velpula; [2023]
   Nyckelord :IoT; MIT App Inventor; NodeMCU; Saline Monitoring; and ThingSpeak.;

   Sammanfattning : This project presents a comprehensive study on the design and implementationof an Internet of Things (IoT)-based system for monitoring and alerting salinevolumes in healthcare environments.Background: In healthcare settings, the accurate monitoring of saline volumesin Intravenous (IV) drip systems is crucial for ensuring patient safety and effectivetreatment. LÄS MER