The topic of this thesis is the use of probabilistic methods in machine learning. These play a foundational role in motivating and defining machine learning algorithms, as well as in explaining why, and how well, the algorithms work. During the years in which…
This dissertation presents the implementation and validation of a cost-effective, Unmanned Aerial Vehicle (UAV) based system for automated detection and spatial mapping of olive knot disease in olive groves. Addressing the need for accessible and efficient pla…
Early and accurate detection of plant diseases is essential for improving crop yield and ensuring agricultural sustainability.This study proposes a deep learning-based approach for the automated detection and classification of plant diseases using leaf images.…
Plant diseases drastically impact on the yield and quality of crops and this is a great challenge to food security and sustainable agriculture in the world and more so in countries such as Bangladesh. There is need to therefore ensure the early and accurate di…
The early and accurate detection of plant diseases is very important in protecting crop yield and ensuring food security.This thesis is going to explore how deep learning methods, especially Convolutional Neural Networks (CNNs) and ResNet-50, can help identify…
The unpredictability and inherent complexities of financial markets pose persistent challenges in accurately forecasting stock prices. Recent innovations in deep learning methodologies, specifically the integration of technical analysis with linguistic process…
This study examines how to improve Quality of Service (QoS) management in VXLAN-based overlay networks by integrating deep learning (DL) techniques. Due to issues like fluctuating workloads, complicated virtualized settings, and increased data traffic, traditi…
Hava kirliliği, PM10 gibi partikül madde içeren yanma gazlarının salınması sonucu ortaya çıkmaktadır. Doğru ve güvenilir teknikler ile PM10 konsantrasyonlarının tahmini, sağlık risklerini düşürmek için göz önüne alınmalıdır. Ortam hava kalitesi ve halk sağlığı…
Accurate brain tumor segmentation from MRI scans is crucial for diagnosis, treatment planning, and prognosis. However, manual segmentation is labor-intensive, prone to variability, and susceptible to errors, emphasizing the need for automated solutions. This s…
أنا مساعد المستودع. اسألني عن الرسائل والأطاريح حسب الموضوع أو الجامعة أو الدولة أو السنة أو الدرجة، أو اطلب أعداداً وإحصاءات.
يجيب من قاعدة بيانات المستودع فقط، ولا يخترع سجلات أو أرقاماً. لا يُحفظ ما تكتبه على الخادم.
قد يخطئ المساعد أحياناً، فراجع المصادر المرفقة.
