Results 51 to 60 of about 969 (184)

Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges

Biotechnology and Bioengineering, Volume 123, Issue 6, Page 1417-1431, June 2026.
ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz, Anna‐Lena Drommershausen, Alexander Grünberger, Dirk Holtmann   +3 more
wiley   +1 more source

A Spectral Matching Algorithm Based on the Wasserstein Metric

Journal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT Through visual inspection, scientists can easily judge the similarity of pairs of spectra from different sources, whether they are experimental measurements, spectra libraries, or spectra calculations. Spectral similarity is recognized when the peak patterns appear similar, even if the peak positions are shifted or the peak amplitudes are ...
Klaus Neymeyr, Baoxin Zhang, Christoph Kubis, Mattis Brinker, Lukas Prestin, Tomass Andersons, Mathias Sawall, Jan Hellwig   +7 more
wiley   +1 more source

On a Nonsmooth Vector Optimization Problem with Generalized Cone Invexity

Abstract and Applied Analysis, 2012
By using Clarke’s generalized gradients we consider a nonsmooth vector optimization problem with cone constraints and introduce some generalized cone-invex functions called K-α-generalized invex, K-α-nonsmooth invex, and other related functions.
Hehua Jiao, Sanyang Liu
doaj   +1 more source

Distributed stochastic nonsmooth nonconvex optimization

Operations Research Letters, 2022
Distributed consensus optimization has received considerable attention in recent years; several distributed consensus-based algorithms have been proposed for (nonsmooth) convex and (smooth) nonconvex objective functions. However, the behavior of these distributed algorithms on {\it nonconvex, nonsmooth and stochastic} objective functions is not ...
openaire   +2 more sources

Controlling Dynamical Systems Into Unseen Target States Using Machine Learning

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr, Alexander Haluszczynski, Christoph Räth   +2 more
wiley   +1 more source

A Smoothing Method with Appropriate Parameter Control Based on Fischer-Burmeister Function for Second-Order Cone Complementarity Problems

Abstract and Applied Analysis, 2013
We deal with complementarity problems over second-order cones. The complementarity problem is an important class of problems in the real world and involves many optimization problems.
Yasushi Narushima, Hideho Ogasawara, Shunsuke Hayashi   +2 more
doaj   +1 more source

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors

Biotechnology and Bioengineering, Volume 123, Issue 5, Page 1107-1122, May 2026.
ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai, Shriarjun Shastry, Morgan R. Hurst, Arianna Minzoni, Eduardo Barbieri, Luke Remmler, Eugene N. Muratov, Michael A. Daniele, Stefano Menegatti, Alexander Tropsha   +9 more
wiley   +1 more source

A conjugate gradient algorithm and its application in large-scale optimization problems and image restoration

Journal of Inequalities and Applications, 2019
To solve large-scale unconstrained optimization problems, a modified PRP conjugate gradient algorithm is proposed and is found to be interesting because it combines the steepest descent algorithm with the conjugate gradient method and successfully fully ...
Gonglin Yuan, Tingting Li, Wujie Hu
doaj   +1 more source

Optimal Control of the Viscous Wave Equation via the Pontryagin Maximum Principle

Numerical Methods for Partial Differential Equations, Volume 42, Issue 3, May 2026.
ABSTRACT A tracking‐type optimal control problem governed by the viscous wave equation with a distributed‐source control and L2$$ {L}^2 $$‐L1$$ {L}^1 $$ control costs is investigated. For this class of PDE‐constrained linear‐convex problems, a Pontryagin maximum principle (PMP) in the PDE setting is derived, and it is shown that the pointwise ...
A. Borzì, S. Roy
wiley   +1 more source

Editorial for the Special Issue on “Recent Advances in Nonsmooth Optimization and Analysis”

Algorithms
In recent years, nonsmooth optimization and analysis have seen remarkable advancements, significantly impacting various scientific and engineering disciplines [...]
Sorin-Mihai Grad
doaj   +1 more source