Hybridization of hybrid structures for time series forecasting: a ...
Hybridization of hybrid models is a novel idea proposed to obtain extreme accuracy in recent literature, in which two or more hybrid classes are combined instead of conjoining the …
Laboratory Medicine and Pathology - Mayo Clinic
Chromosome disorders form a major category of genetic disease. In a clinical setting, chromosome abnormalities account for a large proportion of patients with congenital …
Hybridization of grapevines | American Association for the …
Our ability to provide a voice for scientists and engineers and to advance science depends on the support from individuals like you. Whether you’re a scientist, engineer, teacher, or science …
Fluorescence Microscopy: Multicolor Fluorescence in situ Hybridization …
Fluorescence in situ hybridization (FISH) is a technique that uses fluorescent probes that bind only to the parts of a nucleic acid sequence with a high degree of sequence complementarity. …
Mixing between species reduces vulnerability to climate change
Rapid climate warming is challenging many threatened species to evolve and adapt quickly enough to avoid extinction but new research provides rare evidence that natural hybridization …
Hybridization - How COVID-19 Accelerated the Merging of …
Hybridization - How COVID-19 Accelerated the Merging of Online and Offline Education
Gradient based Hybridization of PSO | Proceedings of the 2023 …
Mar 14, 2024 · We introduce different hybridization principles and explore several approaches, including sequential decoupled hybridization, coupled hybridization, and adaptive hybridization.
Quadrangulation through morse-parameterization hybridization …
Jul 30, 2018 · We introduce an approach to quadrilateral meshing of arbitrary triangulated surfaces that combines the theoretical guarantees of Morse-based approaches with the …
Division of Anatomic Pathology - Mayo Clinic
The Immunostains Laboratory performs immunohistochemistry (IHC), in-situ hybridization (ISH) and mass spectrometry-based proteomic (MS) tests for clinical diagnosis. Specimens are …
Feature selection based on hybridization of genetic algorithm …
Aug 1, 2020 · Aiming at these problems, this paper proposes to add the crossover operator and mutation operator in the genetic algorithm to the competitive swarm optimization, so as to …
Hybridizing an evolutionary algorithm with mathematical …
Jul 12, 2008 · In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. …
A modular hybridization of particle swarm optimization and differential ...
Jul 8, 2020 · The resulting novel hybridization, called PSODE, encompasses most up-to-date variants from both sides, and more importantly gives rise to an enormous number of unseen …
Hybridization of genetic algorithm and local search in …
Jul 8, 2006 · Hybridization with local search (LS) is known to enhance the performance of genetic algorithms (GA) in single objective optimization and have also been studied in the …
Sequencing-by-hybridization at the information-theory bound:
Apr 8, 2000 · In a recent paper [PFU99) we have introduced a novel probing scheme for DNA sequencing by hybridization (SBH). The new gapped-probe scheme combines natural and …
Pareto-efficient hybridization for multi-objective recommender …
Sep 9, 2012 · We employ an evolutionary search for hybrids following the Strength Pareto approach, which isolates hybrids that are not dominated by others (i.e., the so called Pareto …
Enhancing chernobyl disaster optimization: a novel hybridization ...
Jan 21, 2025 · This hybridization represents a meaningful advancement for the CDO framework and demonstrates improved performance in solving selected engineering design problems, …
Efficient Super-Resolution System With Block-Wise Hybridization …
Nov 1, 2023 · We propose an efficient Winograd-based transposed convolution acceleration method. Through the efficient subconvolutions conversion and the Winograd specialization, …
DeepGR4J: : A deep learning hybridization approach for …
Nov 1, 2023 · This paper presents a sub-model hybridization of the GR4J rainfall-runoff model with deep learning architectures such as convolutional neural networks (CNN) and long short …
AnFiS-MoH: : Systematic exploration of hybrid ANFIS frameworks …
Dec 1, 2024 · We evaluate ANFIS-MOH on benchmark datasets including Boston Housing and Wine Quality, demonstrating significant improvements in prediction accuracy and …
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Mar 1, 1999 · Written by leading experts from all over the world, the contributions demonstrate how rough-fuzzy hybridization can be made in various ways to provide flexible information …