Essays about: "research thesis on training and development"

Showing result 1 - 5 of 157 essays containing the words research thesis on training and development.

  1. 1. Navigating Industry 4.0 to Industry 5.0 : Challenges and Strategies for Workforce Transition and its Relation to SDGs

    University essay from KTH/Energisystem

    Author : Dhairysheel Shivaji Ambhore; [2024]
    Keywords : Industry 4.0; Industry 5.0; Sustainable Development Goals SDGs ; industry 4.0; industry 5.0; hållbarhetsmål SDGs ;

    Abstract : The Fourth Industrial Revolution, known as Industry 4.0, has ushered in a new era of technological advancement and disruption across Manufacturing Industries. As organizations embrace digital technologies, artificial intelligence, and automation, the workforce faces profound changes in job roles, skill requirements, and training needs. READ MORE

  3. 2. Examining the Possibilities of Live, Virtual, Constructive (LVC)

    University essay from Försvarshögskolan

    Author : Josefine Thunström; [2024]
    Keywords : LVC; train like you fight; test and analysis; radar; Military Utility; LVC; train like you fight; test och analys; radar; militär nytta;

    Abstract : Live, Virtual, and Constructive (LVC) is a relatively newly developed system of systems concept designed to provide a new way of conducting training for, but not exclusively, fighter pilots. “Train like you fight” is a commonly used quote when talking about LVC. READ MORE

  4. 3. Virtual H&E Staining Using PLS Microscopy and Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Sally Vizins; Hanna Råhnängen; [2024]
    Keywords : Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

    Abstract : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. READ MORE

  5. 4. Less is more? On the Data Minimization in AI-based Personal Data Processing: Navigating Divides, Shaping Tomorrow in the Era of GDPR

    University essay from Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakulteten

    Author : Ryan Gran; [2024]
    Keywords : Law and Political Science;

    Abstract : This thesis is written in five Chapters. Chapter One starts with an introduction, then it focuses on the research questions and the limitations. Chapter two, describes data processing, especially AI-based personal data processing, and focuses on the possible risks of it. READ MORE

  6. 5. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

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

    Author : Khalid El Yaacoub; [2024]
    Keywords : Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

    Abstract : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. READ MORE