NFIG-X: Nonlinear Fuzzy Information Granule Series for Long-Term Traffic Flow Time-Series Forecasting

Y Cheng, W Xing, W Pedrycz, S Xian… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Long-term time-series forecasting is an extensive research topic and is of great significance
in many fields. However, the task of long-term time-series forecasting is accompanied by the …

Who Are the Anatomic Outliers Undergoing Total Knee Arthroplasty? A Computed Tomography–Based Analysis of the Hip-Knee-Ankle Axis Across 1,352 …

JJ Woo, FR Vidhani, YB Zhang, RJ Olsen… - The Journal of …, 2024 - Elsevier
Background Dissatisfaction after total knee arthroplasty (TKA) ranges from 15 to 30%. While
patient selection may be partially responsible, morphological and reconstructive challenges …

Integrating data-driven and knowledge-driven approaches to analyze clinical notes with structured data for sarcopenia detection

X Luo, H Ding, SJ Warden… - Health Informatics …, 2024 - journals.sagepub.com
Background: Patients with sarcopenia often go undetected in busy clinical practices since
the muscle measurements are not easily incorporated into routine clinical practice. The …

Guiding simulations of multi-tier storage Caches using Knee detection

T Estro, M Antunes, P Bhandari… - … , and Simulation of …, 2023 - ieeexplore.ieee.org
Simulating storage cache hierarchies enables efficient exploration of their configuration
space, including diverse topologies, parameters and policies, and devices with varied …

Adaptive pandemic management strategies for construction sites: An agent-based modeling approach

C Li, Q Fang, K Chen, Z Bao, Z Jiang, W Liu - Frontiers of Engineering …, 2024 - Springer
In the face of sudden pandemics, it becomes crucial for project managers to quickly adapt
and make informed decisions that anticipate the consequences of their actions. This …

A New Elbow Estimation Method for Selecting the Best Solution in Sparse Unmixing

R Sarjonen, T Räty - IEEE Journal of Selected Topics in …, 2023 - ieeexplore.ieee.org
The goal of hyperspectral image analysis is often to determine which materials, out of a
given set of possibilities, are present in each pixel. As hyperspectral data are being gathered …

Accelerating multi-tier storage cache simulations using knee detection

T Estro, M Antunes, P Bhandari, A Gandhi… - Performance …, 2024 - Elsevier
Storage cache hierarchies include diverse topologies, assorted parameters and policies,
and devices with varied performance characteristics. Simulation enables efficient …

Intraoperative blood pressure and cardiac complications after aneurysmal subarachnoid hemorrhage: a retrospective cohort study

J Wang, F Lin, M Zeng, M Liu, M Zheng… - … Journal of Surgery, 2024 - journals.lww.com
Background: Previous studies report that intraoperative hypotension worsens outcomes after
aneurysmal subarachnoid hemorrhage (aSAH). However, the hypotensive harm threshold …

Deep Learning Approach for Knee Point Detection on Noisy Data

TY Fok, N Ye - arXiv preprint arXiv:2409.15608, 2024 - arxiv.org
A knee point on a curve is the one where the curve levels off after an increase. In a computer
system, it marks the point at which the system's performance is no longer improving …

A Change-Point Approach to Estimating the Proportion of False Null Hypotheses in Multiple Testing

A Kostic, P Fryzlewicz - arXiv preprint arXiv:2309.10017, 2023 - arxiv.org
For estimating the proportion of false null hypotheses in multiple testing, a family of
estimators by Storey (2002) is widely used in the applied and statistical literature, with many …