Natural language processing: using artificial intelligence to understand human language in orthopedics

JA Pruneski, A Pareek, BU Nwachukwu… - Knee Surgery, Sports …, 2023 - Springer
Natural language processing (NLP) describes the broad field of artificial intelligence by
which computers are trained to understand and generate human language. Within …

[PDF][PDF] Deep learning for fake news detection: Literature review

MH Al-Tai, BM Nema, A Al-Sherbaz - Al-Mustansiriyah Journal of Science, 2023 - iasj.net
The use of Deep Learning (DL) for identifying false or misleading information, known as fake
news, is a growing area of research. Deep learning, a form of machine learning that utilizes …

Dktnet: dual-key transformer network for small object detection

S Xu, J Gu, Y Hua, Y Liu - Neurocomputing, 2023 - Elsevier
Object detection is a fundamental computer vision task that plays a crucial role in a wide
range of real-world applications. However, it is still a challenging task to detect the small size …

Context-based fake news detection model relying on deep learning models

E Amer, KS Kwak, S El-Sappagh - Electronics, 2022 - mdpi.com
Nowadays, due to the great accessibility to the internet, people seek out and consume news
via social media due to its low cost, ease of access, and quick transmission of information …

[HTML][HTML] LLMs in e-commerce: a comparative analysis of GPT and LLaMA models in product review evaluation

KI Roumeliotis, ND Tselikas, DK Nasiopoulos - Natural Language …, 2024 - Elsevier
E-commerce has witnessed remarkable growth, especially following the easing of COVID-19
restrictions. Many people, who were initially hesitant about online shopping, have now …

Machine translation and its evaluation: a study

SK Mondal, H Zhang, HMD Kabir, K Ni… - Artificial Intelligence …, 2023 - Springer
Abstract Machine translation (namely MT) has been one of the most popular fields in
computational linguistics and Artificial Intelligence (AI). As one of the most promising …

AtomGPT: Atomistic Generative Pretrained Transformer for Forward and Inverse Materials Design

K Choudhary - The Journal of Physical Chemistry Letters, 2024 - ACS Publications
Large language models (LLMs) such as generative pretrained transformers (GPTs) have
shown potential for various commercial applications, but their applicability for materials …

Implementing BERT and fine-tuned RobertA to detect AI generated news by ChatGPT

Z Wang, J Cheng, C Cui, C Yu - arXiv preprint arXiv:2306.07401, 2023 - arxiv.org
The abundance of information on social media has increased the necessity of accurate real-
time rumour detection. Manual techniques of identifying and verifying fake news generated …

[图书][B] Transformers for machine learning: a deep dive

U Kamath, K Graham, W Emara - 2022 - taylorfrancis.com
Transformers are becoming a core part of many neural network architectures, employed in a
wide range of applications such as NLP, Speech Recognition, Time Series, and Computer …

Decision Support Systems in Forestry and Tree-Planting Practices and the Prioritization of Ecosystem Services: A Review

N Yadav, S Rakholia, R Yosef - Land, 2024 - mdpi.com
In this study, tree-selection/plantation decision support systems (DSSs) were reviewed and
evaluated against essential objectives in the available literature. We verified whether …