Analyzing the Visual Road Scene for Driver Stress Estimation

Engineering, Transportation Engineering, Information Science, Computer Science, Artificial Intelligence,
driver stress estimation   road scene analysis   driver assistance technologies   machine learning   visual analysis  

Research on Driver Stress Estimation Based on Visual Road Scenes Academic Background Driver stress is a significant factor contributing to traffic accidents, injuries, and fatalities. Studies show that 94% of traffic accidents are related to drivers, with inattention, internal and external distractions, and improper speed control all closely linked...

Multimodal Learning for Mapping Genotype–Phenotype Dynamics

Information Science, Computer Science, Artificial Intelligence, Medicine, Life Sciences, Cell Biology, Biochemistry, Bioengineering, Genetics,
multimodal learning   genotype-phenotype relationship   single-cell RNA sequencing   machine learning   cellular heterogeneity  

Multimodal Learning Reveals Genotype–Phenotype Dynamics Background The complex relationship between genotype and phenotype has long been a central question in biology. Genotype refers to the genetic information of an organism, while phenotype is the manifestation of this genetic information in a specific environment. Although Wilhelm Johannsen intr...

Approaching Coupled-Cluster Accuracy for Molecular Electronic Structures with Multi-Task Learning

Chemistry, Computational Chemistry, Materials Science, Information Science, Artificial Intelligence,
multi-task learning   coupled-cluster methods   molecular electronic structure   quantum chemistry   machine learning  

Machine Learning Boosts Quantum Chemistry: Predicting Molecular Electronic Structures Approaching Coupled-Cluster Accuracy Academic Background In physics, chemistry, and materials science, computational methods are key tools for uncovering the mechanisms behind diverse physical phenomena and accelerating materials design. However, quantum chemistry...

Preference Prediction-Based Evolutionary Multiobjective Optimization for Gasoline Blending Scheduling

Chemistry, Chemical Engineering, Information Science, Automation, Artificial Intelligence,
preference prediction   multiobjective evolutionary optimization   gasoline blending   scheduling optimization   machine learning   cost efficiency   industrial applications  

Preference Prediction-Based Evolutionary Multiobjective Optimization for Gasoline Blending Scheduling Background Introduction With the continuous evolution of the global energy market, gasoline production and blending processes face increasing challenges. As a key product of the oil industry, gasoline’s blending and scheduling processes directly af...

Multilevel Ensemble Membership Inference Attack

Information Science, Electronic Information, Computer Science, Artificial Intelligence,
machine learning   privacy attack   membership inference   data leakage   AI security  

In-depth Analysis of the Research Paper: MEMIA: Multilevel Ensemble Membership Inference Attack Introduction to the Research Background With the rapid development of digital technologies, artificial intelligence (AI) and machine learning (ML) have deeply permeated multiple domains, including healthcare, finance, retail, education, and social media....