Essays about: "NEURAL CONTROL"

Showing result 11 - 15 of 284 essays containing the words NEURAL CONTROL.

  1. 11. Urban Planning & Governance in the Age of AI : A Study of the Potential Benefits and Risks

    University essay from KTH/Skolan för arkitektur och samhällsbyggnad (ABE)

    Author : Jonas Gummesson; [2023]
    Keywords : Accountability; AI; Artificial Intelligence; Big Data; Cybernetics; Engagement; Equality; Governance; Neural Networks; Participation; Power; Smart City; Systems planning.; Transparency; Trust; Urban Design; Urban Planning;

    Abstract : Artificial intelligence (AI) is a rapidly developing technology which in this project refers to software that given objectives generate content, predictions, recommendations, or decisions influencing their environment. Using literature reviews and semi-structured interviews, the current and future uses, sentiments, regulations, and risks of AI in urban planning and governance are gathered. READ MORE

  3. 12. Let Us Put Our Brains in the Spotlight – Literally!

    University essay from Lunds universitet/Examensarbeten i molekylärbiologi

    Author : Elsa Karjalainen; [2023]
    Keywords : Biology and Life Sciences;

    Abstract : Neurons are the working force in each vertebrate’s nervous system. These small cells have the important task of transferring information in the form of electrical charges called action potentials. Neurons make it possible for us to sense touch, process our environment, and store memory. READ MORE

  4. 13. Cooperative Modular Neural Networks for Artificial Intelligence in Games : A Comparison with A Monolithic Neural Network Regarding Technical Aspects and The Player Experience

    University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Author : Emil Högstedt; Ove Ødegård; [2023]
    Keywords : Neural Network; Modularization; Sensor; Reinforcement Learning; Supervised Learning; Neuralt Nätverk; Modulärisering; Sensor; Förstärkningsinlärning; Väglett Lärande;

    Abstract : Recent years have seen multiple machine-learning research projects concerning agents in video games. Yet, there is a disjoint between this academic research and the video game industry, evidenced by the fact that game developers still hesitate to use neural networks (NN) due to lack of clarity and control. READ MORE

  5. 14. Applying Machine Learning Techniques for Anomaly Detection in Wooden Plank Images

    University essay from Uppsala universitet/Avdelningen Vi3

    Author : Iza Smedberg; [2023]
    Keywords : Anomaly Detection; Machine Vision; Machine Learning; Neural Network;

    Abstract : Anomaly detection is an important first step of quality control in manufacturing processes. In wooden planks, anomalies such as broken knots and resin pockets can lower the quality of the final product. With the help of machine vision, inspections can be made faster, at higher accuracy, and at a lower cost. READ MORE

  6. 15. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning

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

    Author : Ziyou Li; [2023]
    Keywords : Unsupervised Learning; Autoencoders; Image Clustering; Fault Detection and Diagnosis; Morphological Operations; Hardware-in-Loop; Advanced DriverAssistance System; Oövervakad inlärning; Autoencoders; Bildklustering; Felfindning och Diagnostik; Morfologiska Operationer; Hardware-in-Loop; Avancerade Förarassistanssystem;

    Abstract : This thesis aims to investigate a fault detection and diagnosis system for automotive cameras using unsupervised learning. 1) Can a front-looking wide-angle camera image dataset be created using Hardware-in-Loop (HIL) simulations? 2) Can an Adversarial Autoencoder (AAE) based unsupervised camera fault detection and diagnosis method be crafted for SPA2 Vehicle Control Unit (VCU) using an image dataset created using Hardware-inLoop? 3) Does using AAE surpass the performance of using Variational Autoencoder (VAE) for the unsupervised automotive camera fault diagnosis model? In the field of camera fault studies, automotive cameras stand out for its complex operational context, particularly in Advanced Driver-Assistance Systems (ADAS) applications. READ MORE