Most of the success of deep learning in computer vision depends on supervised learning (SL) and large-scale, manually annotated datasets. Creating such datasets is a major bottleneck due to the substantial cost and labor required, particularly for pixel-level…
A Master of Science thesis in Engineering Systems Management by Sara Hussein Abu Iktish entitled, “Optimizing Operating Costs at EMX Using Machine Learning-Based Forecasting and Capacity Planning Models”, submitted in July 2025. Thesis advisor is Dr. Hussam Al…
Vers un apprentissage avec peu d’annotations en vision par ordinateur : Application à la classification et à la détection d’objets dans les images Nous développons dans cette thèse des contributions théoriques, algorithmiques et expérimentales pour l’apprentis…
Abstract-I: Autonomous Navigating car : To make car move as fast as possible and with absolutely no collisions. And Controlling a car with high dimensional sensory inputs and Driving a car autonomously around a racetrack with obstacles like pedestrians and oth…
This document is a degree thesis that consists of a study of vision-based computing techniques for the detection and tracking of objects. The development of the study has been carried out using OpenCV, CUDA and PX4. The first chapter presents a definition of t…
Intelligent robots have emerged as a hot research topic in the interdisciplinary study of control theory, robotics, and computer science as it demonstrates huge potential in fundamentally benefiting our society. The development of intelligent robots with the a…
Speech enhancement (SE) aims to improve the speech quality of the degraded speech. Recently, researchers have resorted to deep-learning as a primary tool for speech enhancement, which often features deterministic models adopting supervised training. Typically,…
Speech enhancement is an important first step in many applications like mobile communication, Speech recognition, hearing aids etc. Traditionally, speech enhancement was viewed as a pure signal processing problem, and several methods have been proposed to desi…
This thesis evaluates the performance and adversarial robustness of four transformer-based language models; BERT, RoBERTa, DistilBERT, and GPT-2 which were fine-tuned for binary phishing email classification. Two preprocessing configurations (Basic and Advance…
The rapid growth of IoT devices in smart homes, healthcare, and industrial systems has increased vulnerability to cyber threats. Traditional centralized intrusion detection systems (IDS) raise privacy, and scalability concerns due to the need for centralized d…
The thesis initially focused on the study of the main Reinforcement Learning methods, highlighting their principal limitations and their temporal evolution. Subsequently, the sparse reward problem was analyzed in detail, which is associated with the lack of up…
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.
