Results 231 to 240 of about 736,428 (286)

Degeneracy Sensing Light Detection and Ranging‐Inertial Simultaneous Localization and Mapping with Dual‐Layer Resistant Odometry and Scan‐Context Loop‐Closure Detection Backend in Diverse Environments

Advanced Intelligent Systems, EarlyView.
This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang, Liye Zhao, Xukai Ding, Wenjun Li, Kehao Qi   +4 more
wiley   +1 more source

Localization of brain networks activated by acupuncture at anatomically adjacent acupoints in healthy participants: neuroimaging evidence and implications for migraine and stroke. [PDF]

Front Neurosci
Zhang Z, Ouyang X, Xie C, Zeng L, Fu Q, Yan Q, Wang T, Wang X, Zhao L.   +8 more
europepmc   +1 more source

Multivariate Contrastive Predictive Coding with Sliding Windows for Disease Prediction from Electronic Health Records

Advanced Intelligent Systems, EarlyView.
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan, Xiaozhu Jing, Yuzheng Yan, Wuman Luo   +3 more
wiley   +1 more source

NERHF: a hybrid machine learning-driven efficient credit risk control framework. [PDF]

Sci Rep
Wei L, Dong J, Yu H.
europepmc   +1 more source

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

Advanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi   +4 more
wiley   +1 more source

Bayesian Models to Generate Small Area Estimates of Population Health: Tutorial for Using Rate Stabilizing Tools and Their Output.

JMIR Public Health Surveill
DeLara D, Zomorrodi R, Quick H, Tootoo J, Li R, Baker J, Kwon J, Casper M, Vaughan A.   +8 more
europepmc   +1 more source

RanBALL: An Ensemble Machine Learning Framework for Accurate Subtype Identification of Pediatric B‐Cell Acute Lymphoblastic Leukemia

Advanced Intelligent Systems, EarlyView.
Here, we present RanBALL, an ensemble random projection‐based model for accurate and cost‐effective identification of B‐cell acute lymphoblastic leukemia subtypes is presented. By preserving patient‐to‐patient distance after dimension reduction by random projection and ensemble learning, RanBALL can facilitate the discovery of B‐ALL subtype‐specific ...
Lusheng Li, Hanyu Xiao, Xinchao Wu, Zhenya Tang, Joseph D. Khoury, Jieqiong Wang, Shibiao Wan   +6 more
wiley   +1 more source

Robust uncertainty quantification in popular estimators of the instantaneous reproduction number. [PDF]

Am J Epidemiol
Steyn N, Parag KV.
europepmc   +1 more source

SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery

Advanced Intelligent Systems, EarlyView.
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, Jonathan David Heaton Paul, Ingo Schmitt, Florian Pyczak   +3 more
wiley   +1 more source

Mapping content and dynamics in the stream of consciousness through latent brain state analysis. [PDF]

iScience
Yu Y, Raffaelli Q, Freveletti D, Brossart JJ, Andrews E, Wilcox RR, Grilli MD, Andrews-Hanna JR.   +7 more
europepmc   +1 more source