Essays about: "Human behavior prediction"
Showing result 1 - 5 of 20 essays containing the words Human behavior prediction.
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1. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE
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2. System Integration and Verification Verdict Automation using Machine Learning
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Context: The volume of log files is massive as they contain vital information about the application’s behavior; they map out broad parts of the application, allowing us to understand how every component behaves, whether normally or abnormally. As a result, it is critical to examine the log files to see if the system is deviating from its usual path. READ MORE
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3. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Human Activity Recognition (HAR) field studies the application of artificial intelligence methods for the identification of activities performed by people. Many applications of HAR in healthcare and sports require the safety-critical performance of the predictive models. READ MORE
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4. LSTM Feature Engineering Through Time Series Similarity Embedding
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Time series prediction has many applications. In cases with simultaneous series (like measurements of weather from multiple stations, or multiple stocks on the stock market)it is not unlikely that these series from different measurement origins behave similarly, or respond to the same contextual signals. READ MORE
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5. Will I Stay or Will I Churn?
University essay from Handelshögskolan i Stockholm/Institutionen för marknadsföring och strategiAbstract : Big data is transforming the way we understand and predict user behavior. One of these areas is customer churn prediction in mobile apps. This quantitative case study investigates which variables predict churn in a mobile wellness app, for the first week of use. READ MORE