Sökning: "mutation classification"
Visar resultat 1 - 5 av 8 uppsatser innehållade orden mutation classification.
1. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER
2. Influence of Automatically Constructed Non-Equivalent Mutants on Predictions of Metamorphic Relations
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Behovet av tillförlitliga, motståndskraftiga, och beständiga system är uppenbart i vårt samhälle, som i ökande grad blir allt mer beroende av mjukvarulösningar. För att uppnå tillfredsställande nivåer av säkerhet och robusthet måste alla system kontinuerligt genomgå tester. LÄS MER
3. Segmentation and Prediction of Mutation Status of Malignant Melanoma Whole-slide Images using Deep Learning
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Malignant melanoma is an aggressive type of skin cancer. Gene mutations can make the disease progress faster, but specialised treatment exists. Today, gene mutations are detected with DNA-analysis which is costly and time-consuming. LÄS MER
4. A study of Neural Circuitry in Microdeletion Syndrome
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Abstract Introduction. The Brain is an amazingly complex piece of biological hardware, capable of massive information processing. It relies heavily on the delicate interactions between huge distributed networks to work properly. When these interactions are altered there can be any number of consequences. LÄS MER
5. ERA: Evolution of Residual Architectures
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : This thesis investigates how well a neural architecture search can find competitive image classifiers on the CIFAR-10 data set with limited computational resources. Most work done on architecture search either uses vast computational resources or narrow and strongly informed space of possible solutions. LÄS MER