Results 81 to 90 of about 5,471 (199)
Ranking of Cybergrooming Conversations [PDF]
Ettersom trusselen med nettbasert grooming er et økende problem i dagens samfunn blir det stadig viktigere å finne nye og bedre måter å detektere og forhindre det på.
Dybevik, Johanne +1 more
core
BuildingsThe task of identifying high-value projects from vast investment portfolios presents a major challenge in the construction industry, particularly within the energy sector, where decision-making carries high financial and operational stakes.
Recep Özkan +4 more
doaj +1 more source
LLM-generated text detection: enhancing accuracy using XLM-RoBERTa & DistilBERT model [PDF]
PeerJ Computer ScienceLarge Language Models (LLMs) have advanced rapidly, driving major progress in Natural Language Processing (NLP) tasks. However, this advancement has also raised significant concerns about its potential misuse, particularly in academic and research ...
Akabra Javed +5 more
doaj +2 more sources
BERT-Based Intrusion Detection System for RF Jamming Attacks in Vehicular Network [PDF]
As vehicular networks continue to evolve toward increased connectivity and autonomy, they become more vulnerable to cybersecurity threats, particularly Radio Frequency (RF) jamming attacks that can severely disrupt communication systems.
Wickramasurendra Nujitha
core +1 more source
Enhancing Text Classification Through Grammar-Based Feature Engineering and Learning Models
InformationText classification remains a challenging task in natural language processing (NLP) due to linguistic complexity and data imbalance. This study proposes a hybrid approach that integrates grammar-based feature engineering with deep learning and ...
Alaa Mohasseb +2 more
doaj +1 more source
Chaos and FractalsIn the rapidly evolving landscape of natural language processing (NLP) and artificial intelligence, recent years have witnessed significant advancements, particularly in text-based question-answering (QA) systems. The Stanford Question Answering Dataset
Cem Özkurt
doaj +1 more source
Comparative analysis of transformer models for sentiment classification of UK CBDC discourse on X
Discover AnalyticsSentiment analysis is critical in understanding public perceptions of evolving currencies such as central bank digital currencies (CBDCs). This study compares three transformer-based models—DistilBERT, RoBERTa, and XLM-RoBERTa—for sentiment ...
Guneet Kaur +2 more
doaj +1 more source
Artificial Intelligence vs. Human: Decoding Text Authenticity with Transformers
Future InternetThis paper presents a comprehensive study on detecting AI-generated text using transformer models. Our research extends the existing RODICA dataset to create the Enhanced RODICA for Human-Authored and AI-Generated Text (ERH) dataset.
Daniela Gifu, Covaci Silviu-Vasile
doaj +1 more source
Unpacking Sarcasm: A Contextual and Transformer-Based Approach for Improved Detection
ComputersSarcasm detection is a crucial task in natural language processing (NLP), particularly in sentiment analysis and opinion mining, where sarcasm can distort sentiment interpretation.
Parul Dubey +2 more
doaj +1 more source
Exploring Variability in Fine-Tuned Models for Text Classification with DistilBERT
CoRRThis study evaluates fine-tuning strategies for text classification using the DistilBERT model, specifically the distilbert-base-uncased-finetuned-sst-2-english variant. Through structured experiments, we examine the influence of hyperparameters such as learning rate, batch size, and epochs on accuracy, F1-score, and loss.
Giuliano Lorenzoni +3 more
openaire +2 more sources