Essays about: "Innovations nätverk"
Showing result 1 - 5 of 21 essays containing the words Innovations nätverk.
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1. The Adoption of Distributed Ledger Technology within Central Securities Depositories : An Exploratory Study from a Business Perspective
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Organizations in the financial services industry are coming under increasing pressure. Regulatory compliance, operational inefficiencies, and the higher cost of capital are all forcing incumbents to adapt. As such, there are strong incentives for technological innovations that either reduce costs or generate new revenue. READ MORE
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2. Deploying and testing Home Assistant at HINT
University essay from Högskolan i HalmstadAbstract : Thanks to recent advancements in low-power communication methods and lower costs, smart home devices are expected to hit over 100 million European households by 2024.This study concerns the installation and configuration of Home Assistant at the Halmstad Intelligent Home (HINT). READ MORE
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3. Implementation of Industrial Symbiosis : How can a collaborative network improve waste management?
University essay from KTH/Fastigheter och byggandeAbstract : Global use of natural resources has accelerated during the past decade and emissions and waste have increased as a consequence. The construction sector is a major contributor to global carbon emissions and is responsible for as much as one-third of global greenhouse gas emissions. READ MORE
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4. Depth Estimation from Images using Dense Camera-Lidar Correspondences and Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Depth estimation from 2D images is a fundamental problem in Computer Vision, and is increasingly becoming an important topic for Autonomous Driving. A lot of research is driven by innovations in Convolutional Neural Networks, which efficiently encode low as well as high level image features and are able to fuse them to find accurate pixel correspondences and learn the scale of the objects. READ MORE
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5. Childhood Habituation in Evolution of Augmenting Topologies (CHEAT)
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Neuroevolution is a field within machine learning that applies genetic algorithms to train artificial neural networks. Neuroevolution of Augmenting Topologies (NEAT) is a method that evolves both the topology of the network and trains the weights of the network at the same time, and has been found to successfully solve reinforcement learning problems efficiently and the XOR problem with a minimal topology. READ MORE