Sökning: "combined training"

Visar resultat 1 - 5 av 344 uppsatser innehållade orden combined training.

1. 1. Force Type ID, a Two-Factor-Authentication based on force sensitive keys and password

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Fawad Ahmad; [2024]
   Nyckelord :;

   Sammanfattning : The conventional computer keyboard keys work as binary switch systems and have stayed the same since the invention of typewriters. With the accelerated progress in forcesensing technology, force-sensitive keyboards have become viable consumer products due to advancements in manufacturing. LÄS MER

3. 2. Effekten av kontrakturprofylax på vuxna individer med kroniska neurologiska tillstånd som föranlett nedsättning av aktiv rörlighet : en systematisk översikt

   M1-uppsats, Uppsala universitet/Fysioterapi och beteendemedicin

   Författare :Ronnie Ådahl; Matilda Larsson Källman; [2024]
   Nyckelord :contracture prophylaxis; passive range of motion; treatment; neurological conditions; joint restriction;

   Sammanfattning : Bakgrund: År 2020 efterlyste Statens beredning för medicinsk och social utvärdering, (SBU), en uppdaterad litteraturöversikt gällande effekten av kontrakturprofylax. Kroniska neurologiska tillstånd som föranlett nedsättning av aktiv rörlighet utgör populationen där kontrakturprofylax är en del av den fysioterapeutiska interventionen och då oftast i form av passivt rörelseuttag. LÄS MER

4. 3. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

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

   Författare :Khalid El Yaacoub; [2024]
   Nyckelord :Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

   Sammanfattning : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. LÄS MER

5. 4. Classifying femur fractures using federated learning

   Master-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :Hong Zhang; [2024]
   Nyckelord :Atypical femur fracture; Federated Learning; Neural Network; Classification;

   Sammanfattning : The rarity and subtle radiographic features of atypical femoral fractures (AFF) make it difficult to distinguish radiologically from normal femoral fractures (NFF). Compared with NFF, AFF has subtle radiological features and is associated with the long-term use of bisphosphonates for the treatment of osteoporosis. LÄS MER

7. 5. Flying under the radar? Education for sustainable development in private pilot training

   Master-uppsats, Göteborgs universitet/Institutionen för didaktik och pedagogisk profession

   Författare :Michael Stiebe; [2023-06-28]
   Nyckelord :Private Pilot Training; Sustainable Aviation; General Aviation; Transformative Learning; Education for Sustainable Development;

   Sammanfattning : Aim: Private pilot (PPL(A)) training has hardly received any scholarly attention from educational and sustainability science perspectives. Through an Education for Sustainable Development (ESD) perspective, the study aimed at 1) answering how sustainability and sustainable development (SD) are taught in pertinent PPL(A) theory learning material, theory lessons and practical training, 2) identifying gaps pertaining to sustainability and SD in those three components, and lastly 3) explore if and how certificated flight instructors, theory instructors and student pilots experience transformative learning during PPL(A) training, as well as what possibilities these stakeholders see in supporting transformative learning in PPL(A) training. LÄS MER