Results 191 to 200 of about 36,774 (260)

A 3D inversion method of TEM combining PSO-NLCG optimization and adaptive regularization. [PDF]

Sci Rep
Jianqiang C, Feng Z, Xuhai D, Yong'en L, Yanhai Z, Yunfei H, Jun Z, Yongbang Y, Gongbin Y, Xin H.   +9 more
europepmc   +1 more source

Advanced Machine Learning Techniques for Corporate Bankruptcy Prediction: A Gradient Boosting TreeNet Approach

Intelligent Systems in Accounting, Finance and Management, Volume 33, Issue 3, September 2026.
ABSTRACT This study aims to enhance bankruptcy prediction models by employing the gradient‐boosting TreeNet algorithm. This research assesses the predictive accuracy of TreeNet in bankruptcy classification using a high‐dimensional approach. Specifically, it categorizes bankruptcy as nonbankrupt, Chapter 7, or Chapter 11 categories.
Ali Saeedi
wiley   +1 more source

Machine learning approaches for predicting preventive maintenance costs of expressways in Xinjiang. [PDF]

PLoS One
Jia C, An J, Ma S, Dai X.
europepmc   +1 more source

The use of activated carbon derived from spent coffee grounds as a reusable, sustainable, and effective solution for the removal of butylparaben from water

Journal of Chemical Technology &Biotechnology, Volume 101, Issue 8, Page 1547-1558, August 2026.
Abstract BACKGROUND Parabens, including butylparaben (BP), are widely used as antimicrobial preservatives in food, cosmetics, and pharmaceuticals, yet are poorly removed by conventional water treatment processes and pose potential risks to aquatic life and human health.
Lorena Maihury Santos Tsubouchi, Diane Scapin, Gideã Taques Tractz, Flávia Aparecida Reitz Cardoso, Lúcio Cardozo‐Filho, Alessandro Francisco Martins, Diógenes Vedoy, Ana Paula Peron, Osvaldo Valarini Junior   +8 more
wiley   +1 more source

Antifungal efficacy of linoleic-acid-rich Cucurbita pepo L. seed oil revealed by GC-MS profiling of lipids and bioactive markers, ergosterol depletion, and network pharmacology. [PDF]

BMC Microbiol
Mohamed ET.
europepmc   +1 more source

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 11, Page 4724-4738, 10 August 2026.
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah, Md. Shakil Rahaman, Travis Wiens   +2 more
wiley   +1 more source

Developing a Gudermannian neural network for solving the Painlevé model-II in the context of nonlinear optics. [PDF]

Sci Rep
Faisal S, Sabir Z, Khan SU, Aamir M, Cyran KA.   +4 more
europepmc   +1 more source

Global, regional, and national burden of immune-mediated inflammatory skin diseases: Insights from the GBD 2021 study. [PDF]

iScience
Zhang H, Liu W, Xiao Y, Luo Z, Su J.
europepmc   +1 more source

Impact of biologic class and treatment line on psoriatic arthritis risk in psoriasis: a population-based cohort study. [PDF]

RMD Open
Watad A, Elizur Y, Hen O, David P, Patt YS, Gendelman O, Nachman A, Zabotti A, Lidar M, McGonagle D, Amital H.   +10 more
europepmc   +1 more source

Prediction and Regulation of SCC's Shrinkage Using the PSO-BPNN Model. [PDF]

Materials (Basel)
Ni T, Shen L, Shen S, Cai Z, Chu W, Hu C, Jiang C, Jing K.   +7 more
europepmc   +1 more source