Essays about: "memory expansion."
Showing result 1 - 5 of 14 essays containing the words memory expansion..
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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. Password Managers in Digital Forensics
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Digital forensics – the scientific process to draw evidence from digital devices confiscated in a criminal investigation – is constantly adapting to technological changes. A current challenge is the widespread use of encryption that makes classical data retrieval methods obsolete. READ MORE
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3. AR Shopping List : Exploring the Design Space of Smart Glasses to Allow Real-time Recording with Multiple Input Formats
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : It is widely considered that in-store shopping is a repetitive yet vital activity in human life. People are accustomed to making shopping lists on a piece of paper or on their mobile phones, or more commonly, memorizing the list in their minds. READ MORE
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4. PREDICTING TRADED VOLUMES OF RENEWABLE ENERGY CERTIFICATES : A comparison of different time series forecasting methods
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Predicting sales is an important step for many business processes. Several forecasting methods have been applied to uncountable different problems, however with no present research found in the area of renewable energy certificates. READ MORE
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5. Fast Classification of Obfuscated Malware with an Artificial Neural Network
University essay from KTH/DatavetenskapAbstract : Malware has posed a problem ever since the first variant was created in the 1980s. As malware detection techniques have advanced, malware developers have in turn found better ways to hide and obfuscate malware. Machine learning (ML) has seen great expansion into many fields over the last years, this includes the field of cybersecurity. READ MORE
