Results 231 to 240 of about 6,924,444 (307)

Personalized design aesthetic preference modeling: a variational autoencoder and meta-learning approach for multi-modal feature representation and transfer optimization. [PDF]

Sci Rep
Chen C, Gong Z.
europepmc   +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, Wenwen Sun, Jun He, Xinyu Fan, Xuecheng Ge, Fengya Lu, Yadan Wang, Yi Wang, Zhiguo Zhang, Qibing Wu, Jinhua Zhou   +10 more
wiley   +1 more source

Quantum-topological meta-learning for tire-road contact stability and multi-modal road prediction in autonomous driving. [PDF]

PLoS One
Wang N.
europepmc   +1 more source

Design‐for‐Benchmarking in Soft Robotics: Navigating Component‐System Dichotomy

Advanced Intelligent Systems, EarlyView.
Soft robotics faces a profound evaluation challenge: the Component‐System Dichotomy, where isolated component tests fail to predict integrated performance. This article presents a systematic survey of critical reporting gaps across actuation, sensing, and control.
Matteo Lo Preti, Muhammad Sunny Nazeer, Josh Pinskier, David Howard, Cecilia Laschi   +4 more
wiley   +1 more source

MetaRes-DMT-AS: A Meta-Learning Approach for Few-Shot Fault Diagnosis in Elevator Systems. [PDF]

Sensors (Basel)
Hu H, Yang S, Zhang Y, Wu J, He L, Lei J.   +5 more
europepmc   +1 more source

Generalized Task‐Driven Design of Soft Robots via Reduced‐Order Finite Element Method‐Based Surrogate Modeling

Advanced Intelligent Systems, EarlyView.
A unified, reusable modeling pipeline enables task‐driven design of soft robots across actuator families and task scenarios. High‐fidelity simulations are compressed into compact pseudo‐rigid‐body joint surrogates, while a design‐conditioned meta‐model generates new surrogates from geometry parameters without rerunning finite element method.
Yao Yao, David Howard, Perla Maiolino
wiley   +1 more source

A framework reforming personalized Internet of Things by federated meta-learning. [PDF]

Nat Commun
You L, Guo Z, Yuen C, Chen CY, Zhang Y, Poor HV.   +5 more
europepmc   +1 more source

Choice experiments on land managers' participation in environmental programs: A systematic review and meta‐analysis of estimate validity

American Journal of Agricultural Economics, EarlyView.
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva, Angel Perni, Jesus Barreiro‐Hurle   +2 more
wiley   +1 more source

Explainable Deep Ensemble Meta-Learning Framework for Brain Tumor Classification Using MRI Images. [PDF]

Cancers (Basel)
Kakon SC, Sazid ZA, Begum IA, Samad MA, Hosen ASMS.   +4 more
europepmc   +1 more source

Definitions of community‐level approaches to address substance‐related harms and lessons learned: A systematic overview of reviews

American Journal of Community Psychology, EarlyView.
Abstract Community action focused on sociocultural and environmental influences to prevent alcohol and other drug (AOD) use and related harms is a global priority. Despite this recognition, understanding of effective community‐level approaches is limited.
Peter Gates, Andrea Zocco, Sara Farnbach
wiley   +1 more source