From google gemini to openai q*(q-star): A survey of reshaping the generative artificial intelligence (ai) research landscape

TR McIntosh, T Susnjak, T Liu, P Watters… - arXiv preprint arXiv …, 2023 - arxiv.org
This comprehensive survey explored the evolving landscape of generative Artificial
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …

Detection of cross-site scripting (XSS) attacks using machine learning techniques: a review

J Kaur, U Garg, G Bathla - Artificial Intelligence Review, 2023 - Springer
With the rising demand for E-commerce, Social Networking websites, it has become
essential to develop security protocols over the World Wide Web that can provide security …

Emotion classification for short texts: an improved multi-label method

X Liu, T Shi, G Zhou, M Liu, Z Yin, L Yin… - Humanities and Social …, 2023 - nature.com
The process of computationally identifying and categorizing opinions expressed in a piece
of text is of great importance to support better understanding and services to online users in …

[HTML][HTML] SRL-ACO: A text augmentation framework based on semantic role labeling and ant colony optimization

A Onan - Journal of King Saud University-Computer and …, 2023 - Elsevier
The process of creating high-quality labeled data is crucial for training machine-learning
models, but it can be a time-consuming and labor-intensive process. Moreover, manual …

[HTML][HTML] Hierarchical graph-based text classification framework with contextual node embedding and BERT-based dynamic fusion

A Onan - Journal of king saud university-computer and …, 2023 - Elsevier
We propose a novel hierarchical graph-based text classification framework that leverages
the power of contextual node embedding and BERT-based dynamic fusion to capture the …

Forecast-driven stochastic optimization scheduling of an energy management system for an isolated hydrogen microgrid

W Dong, H Sun, C Mei, Z Li, J Zhang, H Yang - Energy Conversion and …, 2023 - Elsevier
Balancing supply and demand constitutes the most important and challenging task in an
isolated microgrid. Accordingly, it is essential to develop an optimization scheduling strategy …

Why don't more people engage in green practices in China? A policy-oriented approach to promoting green transformation in five consumption areas

H Huang, R Long, H Chen, K Sun, Q Sun… - … Impact Assessment Review, 2023 - Elsevier
Green consumption policies (GCP) are an essential measure to achieve carbon peak and
neutrality targets and have attracted widespread attention in social media. However, few …

LCDAE: data augmented ensemble framework for lung cancer classification

Z Ren, Y Zhang, S Wang - Technology in Cancer Research …, 2022 - journals.sagepub.com
Objective: The only possible solution to increase the patients' fatality rate is lung cancer
early-stage detection. Recently, deep learning techniques became the most promising …

Sentiment and context-aware hybrid DNN with attention for text sentiment classification

J Khan, N Ahmad, S Khalid, F Ali, Y Lee - IEEE Access, 2023 - ieeexplore.ieee.org
A tremendous amount of unstructured data, such as comments, opinions, and other sorts of
data is generated in real-time with the growth of web 2.0. Due to the unstructured nature of …

MBi-GRUMCONV: A novel Multi Bi-GRU and Multi CNN-Based deep learning model for social media sentiment analysis

MS Başarslan, F Kayaalp - Journal of Cloud Computing, 2023 - Springer
Today, internet and social media is used by many people, both for communication and for
expressing opinions about various topics in many domains of life. Various artificial …