Not stated in source
2026 Needs review
- Author
- NIM. 18106000005 Uswatun Hasanah
- University
- Sunan Kalijaga State Islamic University
- Country
- Indonesia
- Main specialisation
- Deep Learning & Neural Networks › Transformers
Penelitian ini bertujuan untuk mengatasi rendahnya keterampilan berbicara siswa program studi persiapan Al-Azhar Mesir di Mumtaza Center, yang dilatarbelakangi dengan kurangnya kepercayaan komunikasi dalam pembelajaran Maharah Al-Kalam di Mumtaz Center dan ket…
Not stated in source
2026 Needs review
Available
- Author
- Elias Bergström Persson
- University
- Dalarna University Library
- Country
- Sweden
- Main specialisation
- Natural Language Processing › Large Language Models
Reading comprehension tests are a common way of assessing a language learner's ability. The difficulty of a reading comprehension test is often determined by the balance of factoid and inferential questions. While factoid questions test retrieval of explicitly…
Not stated in source
2026 Needs review
Available
- Author
- Filippo Serafini
- University
- University of Bologna
- Country
- Italy
- Main specialisation
- Deep Learning & Neural Networks › Transformers
Mixture-of-Experts (MoE) architectures decouple representational capacity from per-token computational cost: each input activates only a few specialised experts, yielding far greater capacity than dense models at equal activation cost. Federated Learning (FL)…
Not stated in source
2026 Needs review
- Author
- Chidozie Princewill Arannonu
- University
- Not available
- Country
- United States
- Main specialisation
- Natural Language Processing › Large Language Models
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…
Not stated in source
2026 Needs review
- Author
- Sai Mounika Karasu
- University
- Dalarna University Library
- Country
- Sweden
- Main specialisation
- Natural Language Processing › Large Language Models
Background Transformer-based language models dominate modern natural language processing but impose substantial computational costs during full fine-tuning, limiting accessibility on consumer-grade hardware. Knowledge Distillation and Low-Rank Adaptation (LoRA…
Not stated in source
2026 Needs review
Available
- Author
- NIM.: 22104020014 Sri Fatimah
- University
- Sunan Kalijaga State Islamic University
- Country
- Indonesia
- Main specialisation
- Deep Learning & Neural Networks › Transformers
Penelitian ini dilatarbelakangi oleh masih rendahnya keterampilan menulis Bahasa Arab siswa kelas XI MAN 2 Yogyakarta, khususnya dalam menulis kalimat dan paragraf sederhana. Penelitian ini bertujuan untuk mengetahui pengaruh pendekatan deep learning berbasis…
Not stated in source
2026 Needs review
- Author
- Kenny Tran
- University
- Not available
- Country
- United States
- Main specialisation
- Deep Learning & Neural Networks › Transformers
Artificial Intelligence is increasingly used in clinical diagnostics; yet many systems fail to capture physician trust because their decision-making processes are unclear and difficult to interpret. To address this challenge, I propose the design of an explain…
Not stated in source
2026 Needs review
- Author
- Tianhao Chen
- University
- Not available
- Country
- Not available
- Main specialisation
- Natural Language Processing › Large Language Models
This thesis investigates two complementary axes for improving Large Language Models (LLMs): the architecture used during pretraining, and the reasoning behavior elicited during post-training. The first part of the thesis addresses well-documented optimization…
Not stated in source
2026 Needs review
- Author
- Prity Rani Das
- University
- Not available
- Country
- Not available
- Main specialisation
- Deep Learning & Neural Networks › Transformers
This research represents a hybrid model for polyp segmentation in medical images, which combines convolutional neural networks (CNN) and vision transformers (ViT). We propose a hybrid architecture that integrates UNet with a Vision Transformer, where UNet is u…
Not stated in source
2026 Needs review
- Author
- Prasanna Dhanireddy ; Khushboo Kumari
- University
- KTH Royal Institute of Technology
- Country
- Sweden
- Main specialisation
- Deep Learning & Neural Networks › Transformers
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…
Not stated in source
2026 Needs review
- Author
- Henrik Voigt
- University
- Not available
- Country
- Germany
- Main specialisation
- Natural Language Processing › Large Language Models
Data visualization is essential for navigating the vast volume of data that defines our time, letting humans use perception to make sense of complex datasets. Yet creating visualizations requires mastery of specialized programming languages, producing a gap be…
Not stated in source
2026 Needs review
- Author
- Mamadou Keïta
- University
- Not available
- Country
- France
- Main specialisation
- Natural Language Processing › Large Language Models
Generative artificial intelligence (AI) and its applications offer significant benefits but raise potentially critical societal and ethical concerns. This thesis explores the field of synthetic content generation and detection, with a particular focus on synth…
