Sökning: "the machine that changed the world"
Visar resultat 1 - 5 av 16 uppsatser innehållade orden the machine that changed the world.
1. Förutsäga spelresultat i Dota 2 med NLP och maskininlärningsalgoritmer
Master-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatikSammanfattning : Esports has grown quickly in recent years, and the business has produced a ton of specifications-based data that is simple to obtain. Because of the aforementioned traits, data mining and deep learning techniques can be used to direct participants and create winning strategies. LÄS MER
2. A General SCADA Application for Water and Wastewater Treatment
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Industriell elektroteknik och automationSammanfattning : The average Swede uses 140 liters of water everyday. This combined with the usage in industry means that Swedish municipal water treatment plants produce approximately 900 billion liters of clean and safe drinking water every year. LÄS MER
3. Världens största Kraftlinermaskin : Optimering av SCAs intern logistik utifrån nya förutsättningar
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : The transition from plastic packaging to renewable materials, a growing population and increased e-commerce, have resulted in a greater need for paper packaging. Furthermore, increasingly stringent regulations for shelf-ready packaging and food safety mean that the market, for fresh fiber-based packaging that are chemical free and have good strength and printability, is expanding. LÄS MER
4. Childhood Habituation in Evolution of Augmenting Topologies (CHEAT)
Master-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationSammanfattning : 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. LÄS MER
5. Is it possible to reverse engineer obfuscated bytecode back to source code?
Kandidat-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : AbstractThere are a lot of old software in the world that has not been supported or kept up todate and would need to be updated to seal security vulnerabilities, as well as to updatefunctions in the program. In those cases where the source code has been lost ordeliberately deleted, would it be possible to use reverse engineering to retrieve thesource code?This study aims to show what java bytecode is and how it is used, as well as how oneis able to go from java bytecode back to source code in a process called Reverse Engineering. LÄS MER