Discriminating Between Marijuana and Alcohol Gait Impairments Using Tile CNN With TICA Pooling
Abstract Goal: To investigate whether machine learning analyses of smartphone sensor data can discriminate whether a subject consumed alcohol or…
Deep learning
Content Analysis of Cannabis Discourses on Twitter/X in the U.S.
Abstract This study analyzed more than 2 million tweets related to cannabis from the U.S. This study used a deep-learning…
MentalAId: an improved DenseNet model to assist scalable psychosis assessment
Abstract Background: The escalating mental health crisis during and post-COVID-19 underscores the urgent need for scalable, timely, cost-effective assessment solutions…
Deep learning for property prediction of natural fiber polymer composites
Abstract The increasing availability of diverse experimental and computational data has accelerated the application of deep learning (DL) techniques for…
Machine Learning-Based Prognostic Signature in Breast Cancer: Regulatory T Cells, Stemness, and Deep Learning for Synergistic Drug Discovery
Abstract Regulatory T cells (Tregs) have multiple roles in the tumor microenvironment (TME), which maintain a balance between autoimmunity and…
Identification of non‐glandular trichome hairs in cannabis using vision‐based deep learning methods
Abstract The detection of cannabis and cannabis‐related products is a critical task for forensic laboratories and law enforcement agencies, given…
Geometric Deep learning Prioritization and Validation of Cannabis Phytochemicals as Anti-HCV Non-nucleoside Direct-acting Inhibitors
Abstract Introduction: The rate of acute hepatitis C increased by 7% between 2020 and 2021, after the number of cases…
UV Hyperspectral Imaging with Xenon and Deuterium Light Sources: Integrating PCA and Neural Networks for Analysis of Different Raw Cotton Types
Abstract Ultraviolet (UV) hyperspectral imaging shows significant promise for the classification and quality assessment of raw cotton, a key material…
Prediction of Adverse Events Risk in Patients with Comorbid Post- Traumatic Stress Disorder and Alcohol Use Disorder Using Electronic Medical Records by Deep Learning Models
Abstract Background: Prediction of high-risk events in mental disorder patients is crucial. In our previous study, we developed a deep…
Sentiment analysis and emotion detection of post-COVID educational Tweets: Jordan case
Abstract Education evolved dramatically under Covid-19, and owing to the conditions, distant learning became mandatory. However, this has opened new…