Results 91 to 100 of about 5,471 (199)

DistilBERT-Based Hybrid Architecture for Phishing URL Detection

IEEE Access
Phishing continues to be a major and rapidly evolving challenge in cybersecurity. By disguising malicious links as legitimate ones, attackers trick users into revealing sensitive information such as login credentials and financial details.
Ulku Ozmen, Esra Odabas Yildirim
doaj   +1 more source

Understanding Perceived Quality of Mobile Apps Using DistilBERT Model

IEEE Access
Measuring the perceived quality of mobile applications is a pivotal consideration for app developers, users, and platforms, as perceived quality can be measured by getting user reviews.
Amanullah, Shoukat Ullah, Rehan Tariq Chohan, Muhammad Nawaz Khan   +3 more
doaj   +1 more source

Adaptive Cloud–Edge Coordination for Real-Time Phishing URL Detection With Distributed Caching and ONNX-Based Inference

IEEE Access
Phishing detection systems continue to struggle with real-time responsiveness in distributed web environments. This paper proposes a cloud–edge coordination framework that integrates browser-side Uniform Resource Locator (URL) interception ...
Minh Linh Dam, Duy Hung Ha, Trong Thua Huynh, Cong Hung Tran, Miroslav Voznak   +4 more
doaj   +1 more source

NLP and LSTM based Prediction for Stock Market [PDF]

Masteroppgave(MSc) in Master of Science in Business Analytics, Handelshøyskolen BI, 2024This study1 investigates the application of natural language processing (NLP) using pre-trained large language models (LLM) to enhance the predictive capabilities ...
WU, Xinke
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Assessing the Efficiency of Transformer Models with Varying Sizes for Text Classification: A Study of Rule-Based Annotation with DistilBERT and Other Transformers

Vietnam Journal of Computer Science
This study presents a comparative analysis of transformer models for text classification, utilizing a hybrid approach that integrates rule-based regular expressions with fine-tuned neural network models.
Arafet Sbei, Khaoula ElBedoui, Walid Barhoumi   +2 more
doaj   +1 more source

Real World Implementation of LLM-based Log Anomaly Detection - Exploring the feasibility of training-free approaches [PDF]

The complexity of systems have escalated to the point where automated techniques leveraging machine learning methods have become indispensable for log anomaly detection.
COMETTI, DANTE SHINTARO, DIONISIO, DIOGO LOPES   +1 more
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Analyzing the language of rejection: a study of user flagging responses to hate speech on Reddit

Information Research: An International Electronic Journal
Introduction. Online hate speech poses significant threats to individuals and society, exacerbating psychological harm, discrimination, and potential real-world violence.
Sharon Lisseth Perez, Xiaoying Song, Lingzi Hong   +2 more
doaj   +1 more source

Fine-Tuning distilBERT for Enhanced Sentiment Classification

Journal of Big Data and Computing
This research examines the fine-tuning of the DistilBERT model for sentiment classification using the IMDB dataset of 50,000 movie reviews. Sentiment analysis is vital in natural language processing (NLP), providing insights into emotions and opinions within textual data.
openaire   +1 more source

ET-GNN: Ensemble Transformer-Based Graph Neural Networks for Holistic Automated Essay Scoring

IEEE Access
Essay writing tasks are crucial for assessing students’ writing skills, but manual evaluation can be time-consuming and prone to inconsistencies. Automated Essay Scoring (AES) offers a solution by automatically evaluating essays, reducing the need
Hind Aljuaid, Areej Alhothali, Ohoud Alzamzami, Hussein Assalahi, Tahani Aldosemani   +4 more
doaj   +1 more source

Green AI: Exploring Carbon Footprints, Mitigation Strategies, and Trade Offs in Large Language Model Training

Prominent works in the field of Natural Language Processing have long attempted to create new innovative models by improving upon previous model training approaches, altering model architecture, and developing more in-depth datasets to better their ...
Liu, Vivian, Yin, Yiqiao
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