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1. 1. Investigation of Injury Predictors for Rat Neuro Trauma

   University essay from KTH/Medicinteknik och hälsosystem

   Author : Rosetta Maglio; [2024]
   Keywords : Finite element method; Rat brain traumatic brain injury; Rat brain finite element model; Strain; Strain rate; Product of strain and strain rate; Rotational direction; Rotational duration; Injury prediction; Finita elementmetoden; Råtthjärnans finita elementmodell; Belastning; Belastningshastighet; Produkten av belastning och belastningshastighet; Rotationsriktning; Rotationstid; Skadeförutsägelse;

   Abstract : A traumatic brain injury is usually caused by a direct impact to the head and is a common cause of disability and death all around the world. The most effective method to predict brain injury today, is to use a finite element head model. READ MORE

3. 2. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience

   University essay from KTH/Hälsoinformatik och logistik

   Author : Habib Jabeli; [2024]
   Keywords : Machine Learning; Flight Comparison; Flygresor.se; Neural Networks; Flight Ranking; Random Forest; XGBoost;

   Abstract : Flygresor.se, a leading flight comparison platform, uses machine learning to rankflights based on their likelihood of being clicked. The main goal of this project was toimprove this flight sorting to obtain a better user experience. The platform's existingmodel is based on a neural network approach and a limited set of features. READ MORE

4. 3. Navigating Industry 4.0 to Industry 5.0 : Challenges and Strategies for Workforce Transition and its Relation to SDGs

   University essay from KTH/Energisystem

   Author : Dhairysheel Shivaji Ambhore; [2024]
   Keywords : Industry 4.0; Industry 5.0; Sustainable Development Goals SDGs ; industry 4.0; industry 5.0; hållbarhetsmål SDGs ;

   Abstract : The Fourth Industrial Revolution, known as Industry 4.0, has ushered in a new era of technological advancement and disruption across Manufacturing Industries. As organizations embrace digital technologies, artificial intelligence, and automation, the workforce faces profound changes in job roles, skill requirements, and training needs. READ MORE

5. 4. Characterisation of Non-metallic Inclusions in Special Steels using Electrolytic Extraction

   University essay from KTH/Materialvetenskap

   Author : Josefin Mvele Svensson; [2024]
   Keywords : Non-metallic inclusions; electrolytic extraction; SEM; Icke-metalliska inneslutningar; elektrolytisk extraktion; SEM;

   Abstract : When producing high strength special steels strict requirements are in place to assure the quality of the final product, both in terms of harmful elements and  the  content  of  non-metallic  inclusions  (NMI).  Achieving  cleanliness  is a  gradual  process  where all  the  steps  of  the  production  process  are  inter- connected, meaning that it is crucial to know the influence of each step in order to assure the contents of the final product. READ MORE

6. 5. Buildings in the Digital Era : An Explorative Study of Digital Twins in the Built Environment

   University essay from KTH/Industriell ekonomi och organisation (Inst.)

   Author : Siw Kristine Kästel; Joanna Wallén; [2024]
   Keywords : Digital Twin DT ; Arcitecture; Engineering and Construction AEC industry; Digitization; Building Information Modeling BIM ; Facility Management FM ; Operation Management O M ; Digital Tvilling; Fastighetsbranschen; Fastighetsförvaltning; Byggnadsinformationsmodeller BIM ;

   Abstract : In recent years, digital twins (DT) have gained traction in enhancing operation and maintenance procedures across various industrial sectors, such as manufacturing, energy, and aerospace. Yet their utilization remains more limited in the built environment. READ MORE