Essays about: "Training System"

Showing result 21 - 25 of 1029 essays containing the words Training System.

1. 21. Mapping the reality of relationshop and sex education in the UK: A phenomenographic exploration of stakeholder conceptions regarding religious and political issues affecting a school’s implementation of policy.

   University essay from Göteborgs universitet/Institutionen för pedagogik och specialpedagogik

   Author : Samuel Paul Holt; [2023-06-19]
   Keywords : Personal social health and economic education; PSHE; relationship and sex education; RSE; statutory guidance; phenomenography;

   Abstract : Aim: This case study aims to ontologically map out the conceptions that stakeholders in a small rural school in Norfolk have regarding the new statutory guidance for relationship and sex education (RSE). The main areas of exploration are the conditions under which RSE is understood, structured and taught. READ MORE

3. 22. DIFFERENTIAL OUTCOME TRAINING AND HUMANOID ROBOT FEEDBACK ON A VISUOSPATIAL GAMIFIED TASK: An experimental study investigating learning, affective social engagement cues and cognitive learning strategies

   University essay from Institutionen för tillämpad informationsteknologi

   Author : Alva Markelius; Sofia Sjöberg; [2023-02-01]
   Keywords : Human-robot interaction; gamified memory task; dementia; differential outcome theory; Furhat; engagement; digitalised treatments; robot assistance;

   Abstract : By combining Differential Outcome Training (DOT), the usage of unique stimulus-response pairings, and feedback from a humanoid simulated robot (SDK) this study aims to improve learning performance of subjects on a visuospatial gamified memory task. This is achieved by using the SDK as an interface for an algorithm that provides audiovisual, reinforcing feedback promoting engangement in a new dyadic setup for a gamified task. READ MORE

4. 23. 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 filologi

   Author : Yiu Kei Tang; [2023]
   Keywords : ;

   Abstract : 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

5. 24. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jiayi Feng; [2023]
   Keywords : DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

   Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE

6. 25. Analyzing the Influence of Synthetic andAugmented Data on Segmentation Model

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Alex Peschel; [2023]
   Keywords : Artificial Intelligence; Microorganisms; Segmentation; Synthesizing; Augmentation;

   Abstract : The field of Artificial Intelligence (AI) has experienced unprecedented growth in recent years, thanks to the numerous applications related to speech recognition, natural language processing, and computer vision. However, one of the challenges facing AI is the requirement for large amounts of energy, time, and data to be effective and accurate. READ MORE