Agriculture | Machine Learning | Remote Sensing Wheat yield estimation using remote sensing data based on machine learning approaches. January 9, 2023
Agriculture | Computer Vision | Machine Learning TIA-YOLOv5: An improved YOLOv5 network for real-time detection of crop and weed in the field. January 9, 2023
Entomology | Machine Learning | Public Health Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra. January 9, 2023
Machine Learning | Natural Language Processing | Text Mining Text Sentiment Analysis Based on a New Hybrid Network Model. January 9, 2023
Chemistry | Machine Learning | Materials Science Deep learning strategies for addressing issues with small datasets in 2D materials research: Microbial Corrosion. January 9, 2023
Dermatology | Healthcare | Machine Learning Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare. January 9, 2023
Drug Discovery | Machine Learning | Pharmacology Traditional Machine and Deep Learning for Predicting Toxicity Endpoints. January 8, 2023
Agricultural Science | Crop Yield Prediction | Machine Learning | Remote Sensing Improved Yield Prediction of Winter Wheat Using a Novel Two-Dimensional Deep Regression Neural Network Trained via Remote Sensing. January 8, 2023
Machine Learning | Pediatrics | Psychiatry Deep-Learning-Based ADHD Classification Using Children’s Skeleton Data Acquired through the ADHD Screening Game. January 8, 2023
Engineering | Machine Learning | Structural Health Monitoring A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning. January 8, 2023
Building Information Modeling (BIM) | Machine Learning | Predictive Maintenance | Railway engineering Track Geometry Prediction Using Three-Dimensional Recurrent Neural Network-Based Models Cross-Functionally Co-Simulated with BIM. January 8, 2023
Civil Engineering | Geology | Hydrology | Machine Learning A Novel Groundwater Burial Depth Prediction Model Based on Two-Stage Modal Decomposition and Deep Learning. January 8, 2023