Sökning: "Muhammad Fast"
Visar resultat 1 - 5 av 20 uppsatser innehållade orden Muhammad Fast.
1. Analysing rapeseed leaves from naturally infested fields in Skaraborg to detect Sclerotinia sclerotiorum using Nanopore sequencing
Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : Rapeseed is a versatile crop with significant economic value as fuel, food, and feed, contributing to farmers' income. However, its cultivation is often hindered by the devastating plant pathogen Sclerotinia sclerotiorum, which infects numerous plant species, including rapeseed. LÄS MER
2. DRIVING-SCENE IMAGE CLASSIFICATION USING DEEP LEARNING NETWORKS: YOLOV4 ALGORITHM
Master-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : The objective of the thesis is to explore an approach of classifying and localizing different objects from driving-scene images using YOLOv4 algorithm trained on custom dataset. YOLOv4, a one-stage object detection algorithm, aims to have better accuracy and speed. LÄS MER
3. Text Prediction using Machine Learning
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : Language modeling is a very broad field and has been used for various purposes for a long period of time to make the lives of people easier. Language modeling is also used for text prediction for mobile keyboards to make the user experience smooth. LÄS MER
4. Den bristande partsinsynen vid utvisning på grund av nationell säkerhet och dess förhållande till Europakonventionen
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakultetenSammanfattning : Nationell säkerhet har varit ett viktigt ämne de senaste åren och flera olika åtgärder har implementerats för att skydda stater och deras medborgare. En av dem är att utvisa utlänningar som anses utgöra säkerhetshot. LÄS MER
5. Optical Inspection for Soldering Fault Detection in a PCB Assembly using Convolutional Neural Networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Convolutional Neural Network (CNN) has been established as a powerful toolto automate various computer vision tasks without requiring any aprioriknowledge. Printed Circuit Board (PCB) manufacturers want to improve theirproduct quality by employing vision based automatic optical inspection (AOI)systems at PCB assembly manufacturing. LÄS MER