Deep learning for automatic detection of plant diseases has emerged as an innova- tive method to address agricultural productivity and food security issues. While deep CNNs have achieved near-ceiling performance on benchmark datasets under controlled condition…
Protein phosphorylation, a fundamental cellular process mediated by kinases, iscrucial for signaling, and its dysregulation is implicated in numerous human diseases.A significant challenge persists in identifying substrate phosphosites for the vastnumber of un…
Image data enhancement is a vital method in the field of deep learning for enhancing model performance and generalization capabilities.This thesis explores various image data augmentation methods and their effectiveness in improving the performance of deep lea…
Métodos de aumento de dados (AD) -uma família de técnicas desenhada para a geração de dados de treino sintéticos -têm demonstrado resultados notáveis em diversas tarefas de Aprendizado Profundo e Aprendizado de Máquina.Apesar de sua adoção ampla e bem-sucedida…
Nos últimos anos, avanços significativos foram alcançados no problema de classificação de imagens devido ao aprimoramentos dos modelos de Aprendizagem Profunda. Entretanto, no que diz respeito ao Reconhecimento de Ações Humanas, ainda existe muito espaço para…
In recent years, we have witnessed an impressive rise in the ubiquity of large language models (LLMs). Although their fundamental objective, predicting the most probable next word in a sequence, has remained unchanged, the models themselves have expanded drama…
The past decade has seen significant advancements in generative models. As one of the most fundamental machine learning and computer vision tasks, generative models aim to produce realistic-looking synthetic samples by learning from real samples. However, trai…
Over the past decade, deep learning has achieved significant breakthroughs in various domains, including computer vision and natural language processing, with applications spanning industries such as healthcare and manufacturing. However, the success of deep n…
Pengenalan emosi pada suara merupakan tugas kompleks yang krusial untuk interaksi manusia-mesin. Penelitian ini mengimplementasikan dan mengevaluasi model Convolutional Recurrent Neural Network (CRNN) yang menggabungkan keunggulan Convolutional Neural Network…
The rapid increase in data generated by edge devices and IoT technologies demands efficient management solutions, especially in terms of cost and infrastructure. Key challenges include expensive data labeling, requiring significant human resources, and ensurin…
This thesis investigates how large language models (LLMs) can be used to solve classical computational problems on graphs. Graphs are a fundamental abstraction for representing real-world systems, such as social, transportation, and communication networks, but…
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.
