Essays about: "Convolution Neural Network CNN"
Showing result 1 - 5 of 31 essays containing the words Convolution Neural Network CNN.
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1. Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Using a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. READ MORE
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2. A General Purpose Near Data Processing Architecture Optimized for Data-intensive Applications
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : In recent years, as Internet of Things (IoT) and machine learning technologies have advanced, there has been increasing interest in the study of energy-efficient and flexible architectures for embedded systems. To bridge the performance gap between microprocessors and memory systems, Near-Data Processing (NDP) was introduced. READ MORE
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3. Enhancing failure prediction from timeseries histogram data : through fine-tuned lower-dimensional representations
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Histogram data are widely used for compressing high-frequency time-series signals due to their ability to capture distributional informa-tion. However, this compression comes at the cost of increased di-mensionality and loss of contextual details from the original features. READ MORE
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4. Transformer-Based Multi-scale Technical Reports Analyser for Science Projects Cost Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Intrinsic value prediction is a Natural Language Processing (NLP) problem consisting in determining a numerical value contained implicitly and non-trivially in a text. In this project, we introduce the SWORDSMAN model (Sentence and Word-level Oracle for Research Documents by Semantic Multi-scale ANalysis), a deep neural network architecture based on transformers whose goal is to predict the cost of research projects from the analysis of their abstract. READ MORE
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5. Selective Kernel Network based Crowding Counting and Crowd Density Estimation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. READ MORE