Essays about: "Contractual Models"
Showing result 1 - 5 of 15 essays containing the words Contractual Models.
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1. Exploring Circular BESS for the Commercial and Industrial Sector: A customer-centric perspective
University essay from Lunds universitet/Internationella miljöinstitutetAbstract : In recent years, battery energy storage systems (BESS) have gained prominence as a key technology enabling much needed electricity grid flexibility while simultaneously providing distinct value to its end-users. With the anticipated increase of residual value holding used batteries from mobility applications entering the market, more and more companies are looking to construct BESS offers around these second-life batteries in an attempt to unlock the potential of circular business offers. READ MORE
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2. The Implementation of the New Engineering Contract in Australia : An Institutional Perspective
University essay from KTH/Fastigheter och byggandeAbstract : Current traditional delivery models used in the Australian construction industry are seen as highly bespoke and adversarial where there is an inappropriate contractual risk allocation, lack of collaboration and poor project management. With the pipeline of investment compounded with the impact that global macroeconomic trends and events (e.g. READ MORE
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3. Integration of Digital Twin and Deep Learning for facilitating Smart Planning and Construction: An Exploratory Analysis
University essay from Jönköping University/JTH, Byggnadsteknik och belysningsvetenskapAbstract : The Architecture, Engineering, and Construction (AEC) industry is known to be overwhelmed with resource planning, risk management, and logistic challenges, resulting in design defects, project delivery delays, cost overruns, and contractual disputes. These challenges have instigated research in the application of advanced machine learning algorithms such as Deep learning (DL) to help with diagnostic and prescriptive analysis of causes and preventive measures. READ MORE
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4. Time to Strike: Intelligent Detection of Receptive Clients : Predicting a Contractual Expiration using Time Series Forecasting
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : In recent years with the advances in Machine Learning and Artificial Intelligence, the demand for ever smarter automation solutions could seem insatiable. One such demand was identified by Fortnox AB, but undoubtedly shared by many other industries dealing with contractual services, who were looking for an intelligent solution capable of predicting the expiration date of a contractual period. READ MORE
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5. Non-Contractual Churn Prediction with Limited User Information
University essay from KTH/Matematisk statistikAbstract : This report compares the effectiveness of three statistical methods for predicting defecting viewers in SVT's video on demand (VOD) services: logistic regression, random forests, and long short-term memory recurrent neural networks (LSTMs). In particular, the report investigates whether or not sequential data consisting of users' weekly watch histories can be used with LSTMs to achieve better predictive performance than the two other methods. READ MORE