Results 81 to 90 of about 1,590,381 (357)

Wild Horse Optimizer-Based Spiral Updating for Feature Selection

open access: yesIEEE Access, 2022
Feature selection (FS) is a vital and challenging process in several domains, including data mining, data clustering, text mining, education, biology, medicine, public health, machine learning, image processing, and so on.
Ahmed A. Ewees   +2 more
doaj   +1 more source

The solution supramolecular structure of α2 → 8 polysialic acid suggests a structural cause for its low immunogenicity

open access: yesFEBS Letters, EarlyView.
α2 → 8 polysialic acid elicits poor immunogenicity. Small‐angle scattering shows a supramolecular structure with parallel‐chain binding, although in different forms at μm and mm calcium. The major histocompatibility complex requires molecular weights around 2000 Da to produce antibodies, and 2000 Da polysialic oligomers will bind in these structures ...
Kenneth A. Rubinson
wiley   +1 more source

Newton's Method for Global Free Flight Trajectory Optimization [PDF]

open access: yesarXiv, 2023
Globally optimal free flight trajectory optimization can be achieved with a combination of discrete and continuous optimization. A key requirement is that Newton's method for continuous optimization converges in a sufficiently large neighborhood around a minimizer. We show in this paper that, under certain assumptions, this is the case.
arxiv  

An Energy Efficient Internet of Things Network Using Restart Artificial Bee Colony and Wireless Power Transfer

open access: yesIEEE Access, 2019
The Internet of Things (IoT) provides a beautiful and intelligent landscape for humanity's future. The connections of various sensors and devices in the IoT result in a large consumption of energy.
Xiu Zhang, Xin Zhang, Liang Han
doaj   +1 more source

Benchmarking Global Optimizers

open access: yes, 2019
We benchmark seven global optimization algorithms by comparing their performance on challenging multidimensional test functions as well as a method of simulated moments estimation of a panel data model of earnings dynamics. Five of the algorithms are taken from the popular NLopt open-source library: (i) Controlled Random Search with local mutation (CRS)
Fatih Guvenen   +2 more
openaire   +2 more sources

Unlocking the potential of tumor‐derived DNA in urine for cancer detection: methodological challenges and opportunities

open access: yesMolecular Oncology, EarlyView.
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever   +1 more
wiley   +1 more source

Global Optimization via Optimal Decision Trees [PDF]

open access: yesarXiv, 2022
The global optimization literature places large emphasis on reducing intractable optimization problems into more tractable structured optimization forms. In order to achieve this goal, many existing methods are restricted to optimization over explicit constraints and objectives that use a subset of possible mathematical primitives.
arxiv  

A Novel Hybrid Meta-Heuristic Algorithm Based on the Cross-Entropy Method and Firefly Algorithm for Global Optimization

open access: yesEntropy, 2019
Global optimization, especially on a large scale, is challenging to solve due to its nonlinearity and multimodality. In this paper, in order to enhance the global searching ability of the firefly algorithm (FA) inspired by bionics, a novel hybrid meta ...
Guocheng Li   +3 more
doaj   +1 more source

A global-local optimization method for problems in structural dynamics [PDF]

open access: yes, 2006
The optimization of complex structures involving many design variables and constraints can be performed using a multi-level approach: a structure consisting of several components is optimized as a whole (global) and on the component level (local ...
Wind, J.W.
core   +1 more source

Subpar reporting of pre‐analytical variables in RNA‐focused blood plasma studies

open access: yesMolecular Oncology, EarlyView.
Pre‐analytical variables strongly influence the analysis of extracellular RNA (cell‐free RNA; exRNA) derived from blood plasma. Their reporting is essential to allow interpretation and replication of results. By evaluating 200 exRNA studies, we pinpoint a lack of reporting pre‐analytical variables associated with blood collection, plasma preparation ...
Céleste Van Der Schueren   +16 more
wiley   +1 more source

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