Data Mining (DM) refers to the analysis of observational datasets to find relationships and to summarize the data in ways that are both understandable and useful. Many DM techniques exist. Compared with other DM techniques, Intelligent Systems (ISs) based appr…
Advancements in Machine Learning (ML) and distributed intelligence have accelerated the adoption of Federated Learning (FL) as a key enabler of privacy-preserving applications in domains such as IoT, healthcare, and Beyond 5G networks. FL enables collaborative…
Federated learning (FL) has the ability to train a global model across many different clients with diverse datasets while also preserving privacy. However, federated learning is by design vulnerable to privacy inference attacks and poisoning attacks, allowing…
Die vorliegende Arbeit untersucht den Einsatz von Machine-Learning- und Deep-Learning-Verfahren zur prädiktiven Terminierung von Wareneingängen. Ausgangspunkt bilden betriebliche Herausforderungen, welche durch Lieferabweichungen entstehen und eine zuverlässig…
This project involves designing and evaluating a supervised machine-learning-based intrusion detection system (IDS) using the CIC-IDS2017 dataset.The project is structured around the cross-industry standard process for data mining (CRISP-DM) framework.The data…
Η παρούσα μελέτη διερευνά την απόδοση τόσο κλασικών όσο και ασαφών αλγορίθμων ταξινόμησης στην πρόβλεψη της αυθεντικότητας σημάτων pulsar, χρησιμοποιώντας ένα ευρέως αποδεκτό σύνολο χαρακτηριστικών που έχει προταθεί ως πρότυπη αναφορά για τις μελλοντικές έρευν…
Large Language Models (LLMs) have demonstrated impressive capabilities across a wide range of tasks in natural language processing (NLP) and software engineering (SE). However, their increasing adoption has raised critical concerns about trustworthiness, inclu…
This thesis addresses the challenges of clustering short text data, focusing on human interpretability and validation metrics. Employing Gaussian Mixture Models with embeddings from Large Language Models, this thesis demonstrates that these methods produce clu…
The continuous growth of machine learning methods has driven significant advances in areas such as natural language processing and computer vision. However, the performance of these models heavily depends on the quantity and quality of labeled data available f…
The rapid expansion of IoT-based Heterogeneous Wireless Sensor Networks (HWSNs) amplifies challenges in energy management. These networks, comprising diverse devices deployed across varying terrains, are designed to efficiently collect data while ensuring comp…
With climate change increasingly impacting communities and around the globe, understanding the Earth system has never been more vital. The many petabytes of data that are generated from remote sensing efforts such as satellite observations and ground-based mea…
Metagenomics has transformed microbial research by analyzing environmental DNA without the need for culturing. Metagenomic binning focuses on clustering the DNA fragments obtained from these environments based on their shared characteristics, providing insight…
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.
