Results 191 to 200 of about 42,084 (260)
Enhancing the pricing efficiency of financial assets with an optimized bayesian network based on efficient fusion. [PDF]
Fu Q, Li X.
europepmc +1 more source
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
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez +4 more
wiley +1 more source
Multiscale parcellation of dynamic causal models of the brain. [PDF]
Zarghami TS.
europepmc +1 more source
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng +4 more
wiley +1 more source
A Sensor-Aware Decoupled Learning Framework for Robust Multi-Scale Time-Series Forecasting in Oil Production Systems. [PDF]
Cheng G, Zhang W, Jin Z, Cai L.
europepmc +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
DRUMBEAT temporally resolved interpretable machine learning model for characterizing state transitions in protein dynamics. [PDF]
Manookian B +6 more
europepmc +1 more source
Gut microbiota from patients with type 2 diabetes induced early diabetes‐like phenotypes in germ‐free mice, including progressive glucose intolerance and mild renal injury. Longitudinal profiling revealed persistent dysbiosis preceding stable metabolic dysfunction, with coordinated fecal and plasma metabolite alterations and a prominent L‐Dopa ...
Jianghao Feng +6 more
wiley +1 more source

