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Showing result 1 - 5 of 43 essays matching the above criteria.
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1. Closing loops, opening minds. The role of social capital for knowledge sharing relationships in circular value networks.
University essay from Handelshögskolan i Stockholm/Institutionen för företagande och ledningAbstract : In the wake of the threats of climate change and natural resource depletion, an increasing number of companies are aligning their strategies and operations with the concept of the circular economy. The circular economy transition can be enabled by companies adopting novel circular business models, embracing collaboration and knowledge sharing between partners in broad circular value networks. READ MORE
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2. Leveraging Large Language Models for Firm-Intelligence: A RAG Framework Approach
University essay from Lunds universitet/Statistiska institutionenAbstract : In the wake of OpenAI's release of ChatGPT in November 2022, powered by the 175 billion parameter neural network GPT-3, the potential applications of Large Language Models (LLMs) in various sectors have become evident. One such application lies in hedge funds and trading desks where knowledge sharing is paramount. READ MORE
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3. INVESTIGATING THE FEASIBILITY AND THE POLICIES FOR WIND POWER REPOWERING IN SWEDISH MUNICIPALITIES
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : Transitioning to a low-carbon energy system includes deploying renewables such as wind power, which has been installed in Sweden since the 1980s. After a 20 to 25-year lifetime, a wind turbine´s end-of-life options come into play, therefore many of the turbines deployed in Sweden prior to 2011 will reach this mark by 2035. READ MORE
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4. Operational resilience strategies in times of global disruptions : A study of a Swedish national energy company
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : This study investigates strategies for improving the operational resilience, i.e. an organisation’s capacity to minimise, manage, and recover from disruptions quickly, ensuring continuity in its primary business processes. READ MORE
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5. Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks
University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenAbstract : Artificial neural networks is a powerful tool for classifying and identifying patterns in large amounts of data. One of the possible tasks of these networks is classification of data into categories. READ MORE