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....

Partial Multi-Label Learning via Label-Specific Feature Corrections

Information Science, Computer Science, Artificial Intelligence,
partial multi-label learning   label-specific features   feature corrections   multi-label learning   machine learning   meta-learning   weak supervision  

Frontier Research in Partial Multi-Label Learning: A New Method Based on Label-Specific Feature Corrections In recent years, partial multi-label learning (PML) has become a hot research topic in the field of machine learning. With the rise of crowdsourcing platforms, the cost of data annotation has dropped significantly, but the quality of annotati...

Artificial Intelligence and Terrestrial Point Clouds for Forest Monitoring

Engineering, Environmental Engineering, Information Science, Computer Science, Artificial Intelligence, Life Sciences, Botany,
deep learning   machine learning   forest inventory   tree characteristics   open data   precision forestry   lidar  

Artificial Intelligence and Terrestrial LiDAR Point Clouds in Forest Monitoring: Academic Report Academic Background With the increasing importance of global climate change and forest resource management, precision forestry has become a key direction in modern forest management. Precision forestry relies on high-precision forest data collection and...

AutoStory: Generating Diverse Storytelling Images with Minimal Human Efforts

AutoStory: Generating Diverse Storytelling Images with Minimal Human Efforts

Information Science, Computer Science, Artificial Intelligence,
story visualization   generative models   machine learning   diffusion models   low-rank adaptation   image generation   text-to-image  

Academic Background and Problem Statement Story Visualization is a task aimed at generating a series of visually consistent images from a story described in text. This task requires the generated images to be of high quality, aligned with the text description, and consistent in character identities across different images. Despite its wide range of...

SIRCLE Model Reveals Mechanisms of Phenotype Regulation in Renal Cancer

Medicine, Urology, Nephrology, Oncology,
multi-omics integration   phenotype regulation   machine learning   variational autoencoder   clear cell renal cell carcinoma   pancan   metabolism  

Executive Report on the Study of ccRCC Regulatory Mechanisms Using the SIRCLE Model Background Overview Clear Cell Renal Cell Carcinoma (ccRCC) is the most prevalent form of kidney cancer, accounting for 70% of renal malignancies. The development and progression of ccRCC involve intricate remodeling of the kidney epigenome, transcriptome, proteome,...

Spatio-Temporal Graph-Based Generation and Detection of Adversarial False Data Injection Evasion Attacks in Smart Grids

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
smart grids   false data injection attacks   adversarial attacks   spatio-temporal graphs   graph neural networks   machine learning   cybersecurity  

Title: Generating and Detecting Spatio-Temporal Graph-Based Adversarial False Data Injection Evasion Attacks in Smart Grids Background With the continuous development of modern smart grids, the grid, as a typical Cyber-Physical System (CPS), faces numerous security threats due to the extensive exchange of data between its components. Among these, F...

An On-Chip Full-Stokes Polarimeter Based on Optoelectronic Polarization Eigenvectors

Physics, Optics, Chemistry, Nanoscience, Engineering, Electrical Engineering, Information Science, Electronic Information,
polarimeter   optoelectronic eigenvector   Stokes parameters   on-chip integration   plasmonic metasurface   machine learning   polarization detection  

Research on On-Chip Full-Stokes Polarimeters Based on Optoelectronic Polarization Eigenvectors Academic Background The polarization state of light plays a significant role in optical communication, biomedical diagnostics, remote sensing, cosmology, and other fields. The Stokes vector, consisting of four parameters, is used to fully describe the pol...