Essays about: "Stacked Ensemble Model"
Showing result 1 - 5 of 6 essays containing the words Stacked Ensemble Model.
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1. Digital Twin-based Intrusion Detection for Industrial Control Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Digital twins for industrial control systems have gained significant interest over recent years. This attention is mainly because of the advanced capabilities offered by digital twins in the areas of simulation, optimization, and predictive maintenance. READ MORE
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2. Machine LearningMethods for Forecasting Product Demand: A case study with telecommunications software
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : There is a lack of evidence pointing to an optimal method for demand forecasting. This paper joins the collection of studies that forecast demand using a combination of machine learning methods. READ MORE
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3. Using Ensemble Machine Learning Methods in Estimating Software Development Effort
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Software Development Effort Estimation is a process that focuses on estimating the required effort to develop a software project with a minimal budget. Estimating effort includes interpretation of required manpower, resources, time and schedule. Project managers are responsible for estimating the required effort. READ MORE
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4. Stronger Together? An Ensemble of CNNs for Deepfakes Detection
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Deepfakes technology is a face swap technique that enables anyone to replace faces in a video, with highly realistic results. Despite its usefulness, if used maliciously, this technique can have a significant impact on society, for instance, through the spreading of fake news or cyberbullying. READ MORE
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5. TDNet : A Generative Model for Taxi Demand Prediction
University essay from Linköpings universitet/Programvara och systemAbstract : Supplying the right amount of taxis in the right place at the right time is very important for taxi companies. In this paper, the machine learning model Taxi Demand Net (TDNet) is presented which predicts short-term taxi demand in different zones of a city. READ MORE