Essays about: "Event Recognition"
Showing result 1 - 5 of 45 essays containing the words Event Recognition.
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1. Word-form recognition in 6-month-olds? Using event-related potentials to study the influence of infant-directed speech
University essay from Stockholms universitet/Institutionen för lingvistikAbstract : By 4.5 months infants listen longer to their names compared to matched foils, which is the earliest empirically demonstrated sign of word-form recognition. This ability develops gradually in the first year of life and becomes increasingly advanced. READ MORE
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2. Anticipating Glacier Lake Outburst Floods (GLOFs): an impact-based forecasting framework for managing GLOF risks in Nepal.
University essay from Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetAbstract : Glacier lake outburst floods (GLOFs) are an increasingly documented threat across the Himalayan region, wherein Nepal is situated. GLOFs involve a rapid discharge of water from a lake situated at the side, front, within, beneath, or on the surface of a glacier. READ MORE
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3. Named Entity Recognition for Case Narratives of Adverse Event Reports
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In the field of pharmacovigilance (PV), signal detection and assessment activities play a crucial role. They require a PV assessor to read through countless adverse event reports which is manual labor-intensive work. To ease the reading process, visual highlighters can be provided by leveraging natural language processing techniques. READ MORE
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4. Quantification of DNA Nanoballs Using Image Processing Techniques
University essay from Uppsala universitet/Avdelningen Vi3Abstract : In gene editing, it is important to identify the number of edited and unedited nucleic acids in the development of new therapies and drugs. Countagen is developing a technology for accelerating genomic research and their product is called GeneAbacus. READ MORE
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5. GAN-Based Counterfactual Explanation on Images
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Machine learning models are widely used in various industries. However, the black-box nature of the model limits users’ understanding and trust in its inner workings, and the interpretability of the model becomes critical. READ MORE