Results 61 to 70 of about 1,311,332 (340)

Compare Between Genetic Algorithm and Clonal Selection Algorithm To Pattern Recognition Latin's Numbers [PDF]

open access: yesمجلة التربية والعلم, 1970
This work involves the use  some of Artificial intelligence techniques algorithms which are genetic algorithm and artificial immune system algorithm- clonal selection algorithm.
Maha Mohammed
doaj   +1 more source

Optimizing Microsatellite Marker Panels for Genetic Diversity and Population Genetic Studies: An Ant Colony Algorithm Approach with Polymorphic Information Content

open access: yesBiology, 2023
Microsatellites are polymorphic and cost-effective. Optimizing reduced microsatellite panels using heuristic algorithms eases budget constraints in genetic diversity and population genetic assessments.
Ryan Rasoarahona   +13 more
doaj   +1 more source

Structure Selection of Polynomial NARX Models using Two Dimensional (2D) Particle Swarms

open access: yes, 2018
The present study applies a novel two-dimensional learning framework (2D-UPSO) based on particle swarms for structure selection of polynomial nonlinear auto-regressive with exogenous inputs (NARX) models.
Hafiz, Faizal   +3 more
core   +1 more source

Comprehensive omics‐based classification system in adult patients with B‐cell acute lymphoblastic leukemia

open access: yesMolecular Oncology, EarlyView.
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song   +11 more
wiley   +1 more source

Warehouse location optimization in fresh cold chain logistics based on PSO-GA

open access: yesInternational Journal for Simulation and Multidisciplinary Design Optimization
This study focuses on the site selection problem of fresh cold chain logistics warehouses, using a site selection model to minimize operating costs, improve distribution efficiency, and meet customer needs.
Guo Lina, Wei Yi
doaj   +1 more source

Modelling of a Roulette Wheel Selection Operator in Genetic Algorithms Using Generalized Nets [PDF]

open access: yesBioautomation, 2009
The apparatus of Generalized Nets (GN) is applied here to a description of a selection operator, which is one of the basic genetic algorithm operators. The GN model presented here describes roulette wheel selection.
Pencheva T., Atanassov K., Shannon A.
doaj  

Robust Procedures for Obtaining Assembly Contact State Extremal Configurations [PDF]

open access: yes, 2004
Two important components in the selection of an admittance that facilitates force-guided assembly are the identification of: 1) the set of feasible contact states, and 2) the set of configurations that span each contact state, i.e., the extremal ...
Feng, Pan, Schimmels, Joseph M.
core   +1 more source

Unraveling LINE‐1 retrotransposition in head and neck squamous cell carcinoma

open access: yesMolecular Oncology, EarlyView.
The novel RetroTest method allows the detection of L1 activation in clinical samples with low DNA input, providing global L1 activity and the identification of the L1 source element. We applied RetroTest to a real‐world cohort of HNSCC patients where we reported an early L1 activation, with more than 60% of T1 patients showing L1 activity.
Jenifer Brea‐Iglesias   +12 more
wiley   +1 more source

An efficient methodology for discovering both of gene-environment interactions and gene-gene interactions causing genetic diseases

open access: yesEgyptian Informatics Journal, 2020
Genetic diseases are one of the most critical diseases facing human societies, their risk lies in the transmission of genetic characteristics from one generation to another, where the imbalance of these characteristics leads to an unhealthy offspring ...
Mohamed A. El-Rashidy
doaj   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

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