Essays about: "each one can teach one"
Showing result 1 - 5 of 29 essays containing the words each one can teach one.
-
1. Can secular practice and education revive interest in religion in secular Sweden? : A study on the impact of secularism on religious education in Sweden
University essay from Högskolan i Gävle/Avdelningen för humanioraAbstract : Abstract: The thesis shows that there are no religious barriers in Sweden. It is entirely possible to teach religion in a secular way. READ MORE
-
2. Quantum Reinforcement Learning for Sensor-Assisted Robot Navigation Tasks
University essay from Lunds universitet/Fysiska institutionenAbstract : Quantum computing has advanced rapidly throughout the past decade, both from a hardware and software point of view. A variety of algorithms have been developed that are suitable for the current generation of quantum devices, which are referred to as noisy intermediate-scale quantum devices. READ MORE
-
3. Challenged by The Wall : The architects role in bridging past and present
University essay from Umeå universitet/Arkitekthögskolan vid Umeå universitetAbstract : The pursuit of a better life has motivated people to move and settle in different parts of Västerbotten. Traditionally, some building typologies have moved together with the people but due to various reasons some homes have been left behind. READ MORE
-
4. Interpolation of Perceived Gender in Speech Signals
University essay from Lunds universitet/Matematisk statistikAbstract : For individuals with gender dysphoria, voice therapy can be an important tool to change characteristics about their voice to align better with their gender identity. This is often done by practising with a speech therapist and can be a long and difficult process. READ MORE
-
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