Results 201 to 210 of about 111,305 (313)

AI-Driven Antimicrobial Peptide Discovery: Mining and Generation. [PDF]

Acc Chem Res
Szymczak P, Zarzecki W, Wang J, Duan Y, Wang J, Coelho LP, de la Fuente-Nunez C, Szczurek E.   +7 more
europepmc   +1 more source

A nonmonotone trust-region line search method for large-scale unconstrained optimization

, 2011
Masoud Ahookhosh, Keyvan Amini, M. Reza Peyghami   +2 more
openalex   +1 more source

On the steplength selection in gradient methods for unconstrained optimization [PDF]

, 2017
Daniela di Serafino, Valeria Ruggiero, Gerardo Toraldo, Luca Zanni   +3 more
openalex   +1 more source

A hybrid machine learning framework for wind pressure prediction on buildings with constrained sensor networks

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Accurate and efficient prediction of wind pressure distributions on high‐rise building façades is crucial for mitigating structural risks in urban environments. Conventional approaches rely on extensive sensor networks, often hindered by cost, accessibility, and architectural limitations. This study proposes a novel hybrid machine learning (ML)
Foad Mohajeri Nav, Seyedeh Fatemeh Mirfakhar, Reda Snaiki   +2 more
wiley   +1 more source

Signal noise estimation and removal of sub‐mm 3D pavement texture data using 1D residual denoising network

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Signal noise removal is an indispensable and critical procedure in obtaining clean pavement texture data for reliable pavement evaluation and management. Nevertheless, the presently established denoising approaches to pavement texture data still rely on traditional techniques that have long struggled with removing noise accurately and ...
Guolong Wang, Kelvin C. P. Wang, Guangwei Yang, Joshua Q. Li, Amir Golalipour   +4 more
wiley   +1 more source

A simple three-term conjugate gradient algorithm for unconstrained optimization

, 2012
Neculai Andrei
openalex   +1 more source

JointLIME: An interpretation method for machine learning survival models with endogenous time‐varying covariates in credit scoring

Risk Analysis, EarlyView.
Abstract In this work, we introduce JointLIME, a novel interpretation method for explaining black‐box survival (BBS) models with endogenous time‐varying covariates (TVCs). Existing interpretation methods, like SurvLIME, are limited to BBS models only with time‐invariant covariates.
Yujia Chen, Raffaella Calabrese, Belen Martin‐Barragan   +2 more
wiley   +1 more source

An AIC-type information criterion evaluating theory-based hypotheses for contingency tables. [PDF]

Behav Res Methods
Altinisik Y, Hessels RS, Van Lissa CJ, Kuiper RM.   +3 more
europepmc   +1 more source

A unifying class of compound Poisson integer‐valued ARMA and GARCH models

Scandinavian Journal of Statistics, EarlyView.
Abstract INAR (integer‐valued autoregressive) and INGARCH (integer‐valued GARCH) models are among the most commonly employed approaches for count time series modeling, but have been studied in largely distinct strands of literature. In this paper, a new class of generalized integer‐valued ARMA (GINARMA) models is introduced which unifies a large number
Johannes Bracher, Barbora Němcová
wiley   +1 more source

Solving Flexible Job-Shop Scheduling Problems Based on Quantum Computing. [PDF]

Entropy (Basel)
Fu K, Liu J, Chen M, Zhang H.
europepmc   +1 more source