Sökning: "Complex Adaptive Challenges"
Visar resultat 1 - 5 av 42 uppsatser innehållade orden Complex Adaptive Challenges.
1. Electronic Health Records System’s Routinization: Exploring healthcare workers’ experiences in a Chinese Public Hospital
Magister-uppsats, Lunds universitet/Institutionen för informatikSammanfattning : This study investigates the routinization of Electronic Health Records (EHR) systems in a Chinese hospital setting, focusing on Yangzhou University Hospital. Utilizing Adaptive Structuration Theory (AST), the research explores the complex interplay between technolo-gy, human agency, and organizational structures in the context of EHR implementation. LÄS MER
2. Dealing With The Unexpected in Prehospital Patientcare: The Lived Experience Of EMS Clinicians
Magister-uppsats, Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : Background In prehospital patient care, numerous patients are examined, treated, and transported. Some are acutely seriously ill, while others, though not acutely ill, necessitate ambulance transport due to their inability to do so independently. Among the latter group, patients may be sicker than initially estimated. LÄS MER
3. Vad gör jag sen? : En litteraturstudie om unga med intellektuell funktionsnedsättning och deras relation till sysselsättning och arbete
Kandidat-uppsats, Malmö universitet/Institutionen för socialt arbete (SA)Sammanfattning : Studies and reports have shown that a significant portion of young individuals with intellectual disabilities who complete their studies at special needs upper-secondary school find themselves outside the labor market. Among these, a considerable number are described as being somewhere else, i.e., not in employment, education, or daily activities. LÄS MER
4. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. LÄS MER
5. Visual Attention Guided Adaptive Quantization for x265 using Deep Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The video on demand streaming is raising drastically in popularity, bringing new challenges to the video coding field. There is a need for new video coding techniques that improve performance and reduce the bitrates. LÄS MER