Shereen A. Taie

Analytical and AI-based approaches to weather events in business: a survey

Shereen A. Taie, Farah Yasser ElSayed, Menna Ibrahim Gabr

Abstract One of the most noticeable aspects of climate change has been the increase in extreme weather events, mostly during recent years. Environmental changes and disasters resulting from these events, including hurricanes, floods, and heat waves, have caused significant ripples across industries. …

Comores, Égypte (code pays fourni par la source)

Personalized Recommendation System for Multilingual Hotel Reviews

Rehab Ahmed Farouk, Shereen A. Taie, Mohamed Hassan Farrag

Online hotel reviews are unstructured and contain complex expressions, making them difficult for traditional recommendation systems to interpret.These systems rely on numerical ratings or perform document-level sentiment analysis in a single language, which fail to capture aspect-level importance.This paper proposes a multilingual …

Égypte (code pays fourni par la source)

Cognitively Aligned Assessment Item Generation with Open-Source LLMs: A Comprehensive Evaluation on LearningQ

Mahmoud Badry, Walaa Medhat, Shereen A. Taie, Asmaa Hashem Sweidan

Automated generation of high-quality educational assessment items is still difficult, especially when it comes to higher-order cognitive skills. Although Large Language Models (LLMs) show promise, their structural validity and cognitive alignment are limited. This study systematically evaluates fine-tuning open-source LLMs using an …

Égypte (code pays fourni par la source)

Hybrid MLOps framework for automated lifecycle management of adaptive phishing detection models

Asmaa Reda, Shereen A. Taie, Masoud E. Shaheen

Phishing detection models degrade quickly due to drift, adversarial evasion, and fairness issues. Existing MLOps platforms mainly automate deployment and monitoring. Prior works have examined SHAP-based monitoring, retraining, or fairness audits separately, but lack an integrated theory of resilience for adversarial environments. …

Égypte (code pays fourni par la source)

Explainable Deep Learning Model for ChatGPT-Rephrased Fake Review Detection Using DistilBERT

Rania A. AlQadi, Shereen A. Taie, Amira M. Idrees, Esraa Elhariri

Customers heavily depend on reviews for product information. Fake reviews may influence the perception of product quality, making online reviews less effective. ChatGPT’s (GPT-3.5 and GPT-4) ability to generate human-like reviews and responses to inquiries across several disciplines has increased recently. This …

Égypte, sa (code pays fourni par la source)

New model for emotion detecting from French text using bidirectional long short-term memory

Aya Adel, Shereen A. Taie, Esraa Elhariri, Mohamed Hasan Ibrahim

Due to the fast growth of social networks, humans have transformed from being general users to creators of network information’s by providing reviews, evaluations, and thoughts on social websites expressing their feelings on various topics. Recently, feedback analysis has become important not …

Explainable Deep Learning for COVID-19 Vaccine Sentiment in Arabic Tweets Using Multi-Self-Attention BiLSTM with XLNet

Asmaa Hashem Sweidan, Nashwa El-Bendary, Shereen A. Taie, Amira M. Idrees et autres

The COVID-19 pandemic has generated a vast corpus of online conversations regarding vaccines, predominantly on social media platforms like X (formerly known as Twitter). However, analyzing sentiment in Arabic text is challenging due to the diverse dialects and lack of readily available …

Égypte, sa (code pays fourni par la source)

Quantifying Review Informativeness With Aspect-Aware Knowledge Graphs and Linguistic Parsing

Rania A. AlQadi, Shereen A. Taie, Asmaa Hashem Sweidan, Esraa Elhariri

The increasing reliance on user reviews for decision-making has elevated the role of online reviews on e-commerce platforms, yet the surge in generic, vague, or promotional content undermines their informativeness and credibility. While existing sentiment analysis and fake review detection methods classify …

Égypte (code pays fourni par la source)

Secure Hiding Messages Technique Based on the Effect of Camera Settings on the Image's Quantum Noise.

Mohammed R. Abdeltawwab, Shereen A. Taie, Hany Hamdy El-Bahnasawy, Amir Eissa

Image steganography is considered one of the most promising secure data transmission methods because it hides the data in an image file. The image file has a substantial role. A lot of methods of image steganography have been presented in the literature. …

Égypte (code pays fourni par la source)

Novel Steganalysis Method for Stego-Images Directly Constructed from Color Images Based on Their Quantum Noise

Mohammed R. Abdeltawwab, Shereen A. Taie, Hany Hamdy El-Bahnasawy, Amir Eissa

Égypte (code pays fourni par la source)

Multimodal Data Fusion Architectures in Audiovisual Speech Recognition

Hadeer M. Sayed, Hesham E. ElDeeb, Shereen A. Taie

Égypte (code pays fourni par la source)

Incorporating Ensemble and Transfer Learning For An End-To-End Auto-Colorized Image Detection Model

A.S. Ragab, Shereen A. Taie, Howida Youssry Abdelnaby

Image colorization is the process of colorizing grayscale images or recoloring an already-color image. This image manipulation can be used for grayscale satellite, medical and historical images making them more expressive. With the help of the increasing computation power of deep learning …