Results 21 to 30 of about 2,664 (165)

Taguchi–Bayesian Sampling: A Roadmap for Polymer Database Construction Toward Small Representative Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley   +1 more source

Architectural Considerations for a Self-Configuring Routing Scheme for Spontaneous Networks [PDF]

open access: yes, 2005
Decoupling the permanent identifier of a node from the node's topology-dependent address is a promising approach toward completely scalable self-organizing networks.
Alvarez-Hamelin, José Ignacio   +2 more
core   +3 more sources

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan   +3 more
wiley   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

open access: yesAdvanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He   +2 more
wiley   +1 more source

Super edge-connectivity and matching preclusion of data center networks

open access: yes, 2019
Edge-connectivity is a classic measure for reliability of a network in the presence of edge failures. $k$-restricted edge-connectivity is one of the refined indicators for fault tolerance of large networks.
Lü, Huazhong, Wu, Tingzeng
core   +1 more source

Short‐Term Scheduling Optimization of a Single‐Pipeline Refining System With High Melting Point Crude Oil

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In order to reflect the actual production situation more comprehensively and optimize the production cost, this paper solves the short‐term scheduling optimization problem for a single pipeline containing high melting point crude oil. Based on the refining plan given by the upper layer, a multi‐objective optimization model with high melting ...
Jing Yao   +5 more
wiley   +1 more source

The min-max edge q-coloring problem [PDF]

open access: yes, 2013
In this paper we introduce and study a new problem named \emph{min-max edge $q$-coloring} which is motivated by applications in wireless mesh networks. The input of the problem consists of an undirected graph and an integer $q$.
Larjomaa, Tommi, Popa, Alexandru
core  

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

open access: yesBiotechnology and Bioengineering, EarlyView.
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   +9 more
wiley   +1 more source

Quasirandom Load Balancing

open access: yes, 2012
We propose a simple distributed algorithm for balancing indivisible tokens on graphs. The algorithm is completely deterministic, though it tries to imitate (and enhance) a random algorithm by keeping the accumulated rounding errors as small as possible.
Lovász L.   +5 more
core   +2 more sources

A Mechanistic Model of rAAV Production in Synthetic Cell Lines

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT The recombinant adeno‐associated virus (rAAV) is a widely used vector for gene therapy. Its manufacturing faces significant challenges in producing the large quantities of vectors needed for clinical applications and reducing empty particles.
Prahalad Srinivasan   +5 more
wiley   +1 more source

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