Results 51 to 60 of about 2,956 (213)

Group-Sparse Feature Extraction via Ensemble Generalized Minimax-Concave Penalty for Wind-Turbine-Fault Diagnosis

, 2022
Extracting weak fault features from noisy measured signals is critical for the diagnosis of wind turbine faults. In this paper, a novel group-sparse feature extraction method via an ensemble generalized minimax-concave (GMC) penalty is proposed for ...
Wangpeng He, Baolong Guo, Xuan Liu, Binqiang Chen, Peipei Zhang   +4 more
core   +1 more source

Estimating Slump Flow and Compressive Strength of Self-Compacting Concrete Using Emotional Neural Networks

Applied Sciences, 2020
The characteristics of fresh and hardened self-compacting concrete (SCC) are an essential requirement for construction projects. Moreover, the sensitivity of admixture contents of SCC in these properties is highly impacted by that cost. The current study
Mosbeh R. Kaloop, Pijush Samui, Mohamed Shafeek, Jong Wan Hu   +3 more
doaj   +1 more source

Geometric Planted Matchings Beyond the Gaussian Model

Random Structures &Algorithms, Volume 68, Issue 4, July 2026.
ABSTRACT We consider the problem of recovering an unknown matching between a set of n$$ n $$ randomly placed points in ℝd$$ {\mathbb{R}}^d $$ and random perturbations of these points. This can be seen as a model for particle tracking and more generally, entity resolution.
Lucas R. Schwengber, Roberto I. Oliveira
wiley   +1 more source

Advancing Marine Bioacoustics With Deep Generative Models: A Hybrid Augmentation Strategy for Southern Resident Killer Whale Detection

Marine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT Automated detection and classification of marine mammal vocalizations is critical for conservation and management efforts but is hindered by limited annotated datasets and the acoustic complexity of real‐world marine environments. Data augmentation has proven to be an effective strategy to address this limitation by increasing dataset ...
Bruno Padovese, Fabio Frazao, Michael Dowd, Ruth Joy   +3 more
wiley   +1 more source

Hyperbolic smoothing function method for minimax problems

, 2013
In this article, an approach for solving finite minimax problems is proposed. This approach is based on the use of hyperbolic smoothing functions. In order to apply the hyperbolic smoothing we reformulate the objective function in the minimax problem and
Al Nuaimat, Alia, Sultanova, Nargiz, Bagirov, Adil   +2 more
core   +1 more source

Soft-Computing Techniques for Predicting Seismic Bearing Capacity of Strip Footings in Slopes

Buildings, 2023
In this study, various machine learning algorithms, including the minimax probability machine regression (MPMR), functional network (FN), convolutional neural network (CNN), recurrent neural network (RNN), and group method of data handling (GMDH) models,
Divesh Ranjan Kumar, Pijush Samui, Warit Wipulanusat, Suraparb Keawsawasvong, Kongtawan Sangjinda, Wittaya Jitchaijaroen   +5 more
doaj   +1 more source

Obinutuzumab, lenalidomide, and venetoclax for the initial treatment of patients with advanced‐stage follicular lymphoma: Results of the Phase Ib/II LEVERAGE study

HemaSphere, Volume 10, Issue 6, June 2026.
Abstract Follicular lymphoma (FL) is the most common indolent lymphoma. Although chemoimmunotherapy is effective, toxicity remains problematic, and novel treatments are required. We performed a Phase Ib/II study of obinutuzumab, lenalidomide, and venetoclax in patients with treatment‐naïve, high tumor burden, advanced‐stage FL. During induction (6 × 28‐
Chan Y. Cheah, Piers Blombery, Amanda Johnston, Joel Wight, Katharine L. Lewis, Rory Bennett, Jing Xie, Stella Vlachos, Sally M. Hunter, Joyce Gonzales, Sally Binks, John F. Seymour   +11 more
wiley   +1 more source

Introducing an efficient model for the prediction of placenta accreta spectrum using the MCP regression approach based on sonography indexes: how efficient is sonography in diagnosing accreta?

BMC Pregnancy and Childbirth, 2020
Background For the first time, we aimed to introduce a model for prediction of placenta accreta spectrum (PAS), using existing sonography indices. Methods Women with a history of Cesarean sections were included.
Mahboobeh Boroomand fard, Maryam Kasraeian, Homeira Vafaei, Mojgan Akbarzadeh Jahromi, Payam Arasteh, Hadi Raeisi Shahraki, Peyman Arasteh   +6 more
doaj   +1 more source

Study protocol for OptimalTTF-2: enhancing Tumor Treating Fields with skull remodeling surgery for first recurrence glioblastoma: a phase 2, multi-center, randomized, prospective, interventional trial

BMC Cancer, 2021
Background OptimalTTF-2 is a randomized, comparative, multi-center, investigator-initiated, interventional study aiming to test skull remodeling surgery in combination with Tumor Treating Fields therapy (TTFields) and best physicians choice medical ...
N. Mikic, F. R. Poulsen, K. B. Kristoffersen, R. J. Laursen, T. L. Guldberg, J. Skjøth-Rasmussen, E. T. Wong, S. Møller, R. H. Dahlrot, J. C. H. Sørensen, A. R. Korshøj   +10 more
doaj   +1 more source

Subgroup Identification via Multiple Change Point Detection: Methods and Applications

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Subgroup identification methods facilitate the discovery of clinically meaningful subpopulations with differing disease progression, improving personalized risk assessment and treatment strategies. ABSTRACT Subgroup identification is a significant research area in statistics and machine learning, aiming to partition a heterogeneous population into more
Yaguang Li, Jingli Wang, Da Zhao, Jialiang Li   +3 more
wiley   +1 more source