Results 131 to 140 of about 70,662 (259)

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced 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

Gate‐Align‐SED: Semi‐Supervised Sound Event Detection via Adaptive Feature Gating and Cross‐Task Alignment in Situation Awareness

open access: yesAdvanced Intelligent Systems, EarlyView.
Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen   +4 more
wiley   +1 more source

Dynamic Characteristics of Electric Traction Generator

open access: yesAutomatic Control, 1958
HANO, Ichiro, HAYASHI, Masami
openaire   +1 more source

One‐Shot Multimaterial 3D Printing of a Flexible Spine for a Robotic Fish Prototype

open access: yesAdvanced Intelligent Systems, EarlyView.
A one‐shot multimaterial 3D printing approach enables a monolithic soft robotic fish integrating a compliant spine and rigid vertebrae. Electromagnetic linear actuators drive tendon‐based transmission, producing controlled tail oscillations. Finite element modeling and experiments show strong agreement, while optimized material selection improves ...
Marco Colletta   +3 more
wiley   +1 more source

Low-cost dynamic fascial traction using serial Bogota bag tightening in open abdomen management: A prospective randomized study. [PDF]

open access: yesWorld J Gastrointest Pharmacol Ther
Balhara K   +6 more
europepmc   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

open access: yesAdvanced Intelligent Systems, EarlyView.
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

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