Essays about: "Hindsight"
Showing result 1 - 5 of 25 essays containing the word Hindsight.
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1. In Search of a Method - How to Prospectively Recognise Drift into Failure
University essay from Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetAbstract : The concept of this research is that by applying the proposed method, the trajectory of drift into failure can be made visible. The method itself consists of two sequential steps. For research purposes a third step is added. READ MORE
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2. Green and Circular Capital Investments in Production Industry
University essay from KTH/Hållbar produktionsutveckling (ML)Abstract : As the concept of sustainability and environmentalism is growing due to new customer demand and regulations, production industry is facing extreme challenges in rethinking their processes and implement sustainability measures. Several companies are taking reactive measures where changes are made on the shopfloor in form of altered operations. READ MORE
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3. Better Sorry Than Safe? : An evaluation of Scandinavian acquirers participating in European mergers and acquisitions between 2010-2017
University essay from Jönköping University/IHH, Företagsekonomi; Jönköping University/IHH, FöretagsekonomiAbstract : Mergers and acquisitions (M&A) are a popular way of growing a company. This is challenged by previous research that shows that an M&A-transaction generally harms the financial key metrics of the acquiring company. READ MORE
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4. Samhällsplanering – ett barn av sin tid? : modernismens och nyliberalismens påverkan på barns utemiljöer i staden
University essay from SLU/Department of Landscape Architecture, Planning and Management (from 130101)Abstract : Samhällsplanering har alltid präglats av ideologier. Uppfattningen om hur staden ska planeras och formas har samtidigt varit allt annat än enig. Under de modernistiska åren från 1930-talet fram till omkring 1970-talet decentraliserades staden. READ MORE
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5. Enforcing low confidence class predictions for out of distribution data in deep convolutional networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Modern discriminative deep neural networks are known to perform high confident predictions for inputs far away from the training data distribution, commonly referred to as out-of-distribution inputs. This property poses security concerns for the deployment of deep learning models in critical applications like autonomous vehicles because it hinders the detection of such inputs. READ MORE
