Essays about: "state functions"

Showing result 16 - 20 of 383 essays containing the words state functions.

1. 16. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Cina Arjmand; [2023]
   Keywords : Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

   Abstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE

3. 17. The immoral legality of targeting child soldiers : A humanitarian dilemma

   University essay from Försvarshögskolan

   Author : Ellen Andersson; [2023]
   Keywords : Child soliders; International Humanitarian law; rules of targeting; Direct Participation in Hostillites;

   Abstract : The thesis functions as an overview of the protection of children used in hostilities and their targetability under international law, primarly in international humanitarian law. The author questions the established presumption, that children directly participating in hostilities, shall be equally targetable as their adult colleges and counter parts. READ MORE

4. 18. Scalable Reinforcement Learning for Linear-Quadratic Control of Networks

   University essay from Lunds universitet/Institutionen för reglerteknik

   Author : Johan Olsson; [2023]
   Keywords : Technology and Engineering;

   Abstract : Distributed optimal control is known to be challenging and can become intractable even for linear-quadratic regulator problems. In this work, we study a special class of such problems where distributed state feedback controllers can give near-optimal performance. READ MORE

5. 19. A real-time Multi-modal fusion model for visible and infrared images : A light-weight and real-time CNN-based fusion model for visible and infrared images in surveillance

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

   Author : Jin Wanqi; [2023]
   Keywords : Image fusion; deep learning; surveillance; CNN; real time; Bildfusion; djupinlärning; övervakning; CNN; realtid;

   Abstract : Infrared images could highlight the semantic areas like pedestrians and be robust to luminance changes, while visible images provide abundant background details and good visual effects. Multi-modal image fusion for surveillance application aims to generate an informative fused images from two source images real-time, so as to facilitate surveillance observatory or object detection tasks. READ MORE

6. 20. Scalable Reinforcement Learning for Formation Control with Collision Avoidance : Localized policy gradient algorithm with continuous state and action space

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

   Author : Andreu Matoses Gimenez; [2023]
   Keywords : Control theory; Multi-agent systems; Distributed systems; Formation control; Collision avoidance; Reinforcement learning; Teoria de control; Sistemes multiagent; Sistemes distribuïts; Control de formació; Prevenció de col·lisions; Reinforcement Learning; Reglerteknik; Multi-agent system; Distribuerade system; formationskontroll; Kollisionsundvikande; Reinforcement learning; Teoría de control; Sistemas multiagente; Sistemas distribuidos; Control de formación; Prevención de colisiones; Reinforcement Learning;

   Abstract : In the last decades, significant theoretical advances have been made on the field of distributed mulit-agent control theory. One of the most common systems that can be modelled as multi-agent systems are the so called formation control problems, in which a network of mobile agents is controlled to move towards a desired final formation. READ MORE