Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by Suhuai Luo
Boosting Skin Cancer Classification: A Multi-Scale Attention and Ensemble Approach with Vision Transformers
3.3. Attention-Weight-Based Multi-Scale Performance Booster After calculating the attention weights for the original image using a Vision Transformer (ViT), we proceed to calculate the mean pixel value of the attention map to establish a threshold. Pixels with higher values above this threshold are set to 1, while other pixels are set to 0, effectively creating a binary mask that highlights regions with higher attention weights.
CASSAD: Chroma-Augmented Semi-Supervised Anomaly Detection for Conveyor Belt Idlers
1. Introduction Belt conveyors are critical for transporting materials across varied and often challenging terrains. Their operation frequently involves hazardous environments where manual inspections are difficult due to restricted access and risks such as exposure to hot surfaces, moving parts, noise, heat, and dust [1]. Maintenance of these systems is further complicated by the increasing number of components, such as idlers, required to support longer conveyor belts [1,2].
Cross-Domain Fake News Detection Using a Prompt-Based Approach
1. Introduction In recent years, the surge of fake news on social media platforms has become a pressing concern. Given the vast volume of online text, manual filtering has become impractical, highlighting the necessity for automated FND methods. This kind of automated detection has received significant attention from researchers.
Efficient Crowd Anomaly Detection Using Sparse Feature Tracking and Neural Network
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
The Power of Context: A Novel Hybrid Context-Aware Fake News Detection Approach
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Does Context Matter? Effective Deep Learning Approaches to Curb Fake News Dissemination on Social Media
Abstract : The prevalence of fake news on social media has led to major sociopolitical issues. Thus, the need for automated fake news detection is more important than ever.
A Comparative Study of Machine Learning and Deep Learning Techniques for Fake News Detection
3.2. Advanced ML and DL Models Latent textual features are those used for news text representations which can be applied at the word level [63,64], sentence level [65,66] or document level [66], resulting in vector representations that can be used for further processing (i.e., as an input to a classifier). For example, one study on detecting rumours on Twitter applied Word2Vec in order to create vector representation [67,68].
The emerging role of artificial intelligence in multiple sclerosis imaging
1. Brody, H. Medical imaging. Nature 2013; 502(7473): S81–S81. Google Scholar | Crossref | Medline 2. Wang, J, Gu, BJ, Masters, CL, et al. A systemic view of Alzheimer disease – Insights from amyloid-β metabolism beyond the brain. Nat Rev Neurol 2017; 13(10): 612. Google Scholar | Crossref | Medline 3. Goldenberg, MM. Multiple sclerosis review. Pharmacy and Therapeutics 2012; 37(3): 175. Google Scholar 4.
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Suhuai
Contact Suhuai, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack