Advanced Intelligent Systems, EarlyView.This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Multimodal Utility Data for Appliance Recognition: A Case Study with Rule-Based Algorithms. [PDF]
Sensors (Basel)Orłowski A +3 more
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
MTCA‐Net: Multi‐Task Cascade Analysis Network for Real‐Time Sperm Quality Analysis
Advanced Intelligent Systems, EarlyView.This article proposes MTCA‐Net, a multi‐task cascaded analysis network for real‐time sperm quality assessment in intracytoplasmic sperm injection. The framework integrates detection, tracking, and segmentation modules to jointly analyze sperm morphology and motility.
Jiajin Li +10 more
wiley +1 more source
Real-Time Cycle Slip Detection in Single-Frequency GNSS Receivers Using Dual-Index Cross-Validation and Elevation-Dependent Thresholding. [PDF]
Sensors (Basel)Carvajal Librado M, Park KD.
europepmc +1 more source
Tzeltal Folk Zoology: The Classification of Discontinuities in Nature. EUGENE S. HUNN [PDF]
American Ethnologist, 1980 openaire +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Advanced Intelligent Systems, EarlyView.A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Leveraging Machine Learning Classifiers in Transfer Learning for Few-Shot Modulation Recognition. [PDF]
Sensors (Basel)Li S, Wang Y, Xiong J, Wang X.
europepmc +1 more source
American Journal of Botany, EarlyView.Abstract Premise We examined the African arid corridor (AAC) disjunction pattern of vascular plants between northeastern and southwestern Africa in the context of geological and climatic events since the late Miocene. We developed a phylogenetic and biogeographical framework for the arid‐adapted genus Sesamothamnus (Pedaliaceae), a classic example of ...
John G. Zaborsky +6 more
wiley +1 more source
Delineating homogeneous zones for rock joint wall mechanical properties in open-pit mine slope based on a multi-indicator stacked generalization model. [PDF]
Sci RepYu X +5 more
europepmc +1 more source