Essays about: "Target Identification"
Showing result 1 - 5 of 138 essays containing the words Target Identification.
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1. Natural Language Inference Transfer Learning in a Multi-Task Contract Dataset : In the Case of ContractNLI: a Document Information Extraction System
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : This thesis investigates the enhancement of legal contract Natural Language Inference (NLI) classification through supervised fine-tuning on general domain NLI, in the case of ContractNLI and Span NLI BERT (Koreeda and Manning, 2021), a multi-task document information extraction dataset and framework. Annotated datasets of a specific professional domain are scarce due to the high time and labour cost required to create them. READ MORE
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2. Evaluating intrusion detection points in an end-to-end solution
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Evaluating all intrusion detection points in an end-to-end cyber-physical system can be challenging. This master thesis focuses on evaluating the security of the most exposed part of such systems, Radio Frequency Identification (RFID) communication. READ MORE
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3. Sex Differences in Dopamine D1-type Receptors and Episodic Memory : an Imaging Study Across the Adult Lifespan
University essay from Umeå universitet/Umeå centrum för funktionell hjärnavbildning (UFBI); Umeå universitet/Institutionen för psykologiAbstract : Identification of the pathways that could be targeted to alleviate ageing-related cognitive decline is of prime importance. One of the most promising target mechanisms is connected to healthy dopaminergic ageing. READ MORE
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4. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. READ MORE
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5. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. READ MORE