Results 141 to 150 of about 58,990 (298)
2020 CATARACTS Semantic Segmentation Challenge [PDF]
Imanol Luengo +39 more
openalex +1 more source
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta +3 more
wiley +1 more source
Language‐Guided Robot Grasping Based on Basic Geometric Shape Fitting
This article presents a language‐guided, model‐free grasping framework that integrates multimodal perception with primitive‐based geometric fitting. By explicitly modeling object geometry from RGB‐D data, the method enables semantically controllable grasp pose generation and achieves robust performance in both structured and cluttered real‐world ...
Qun Niu +5 more
wiley +1 more source
A Unified Deep Architecture for Segmentation in Remote Sensing Images
Deep learning–based segmentation models have gained significant focus in various computer vision applications, including remote sensing and medical imaging.
Nagamani Gonthina +1 more
doaj +1 more source
ABSTRACT Diagnoses of autism spectrum disorder in Australia have increased considerably in recent years. The current study investigated how the National Disability Insurance Scheme (NDIS) impacts quality of life (QoL) among carers of children with autism spectrum disorder.
Jesse Gerhard, Sharon L. Grant
wiley +1 more source
A unified deep learning framework for segmentation in remote sensing imagery
Deep learning-based segmentation models have gained significant focus in various computer vision applications, including remote sensing and medical imaging.
Babitha Lokula +2 more
doaj +1 more source
Confessions of a Poverty Researcher: My Journey Through the Foothills of Scholarship
ABSTRACT This paper describes the key events, experiences and ideas that influenced the author's career as a poverty researcher. He describes how his early disillusion with economics was replaced by a spark of interest in social issues and how his migration from the UK to Australia in the mid‐1970s provided the impetus to begin what became a lifetime ...
Peter Saunders
wiley +1 more source
Multi-scale Network with Attentional Multi-resolution Fusion for Point Cloud Semantic Segmentation [PDF]
Yuyan Li, Ye Duan
openalex +1 more source
ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley +1 more source

