RESOURCE LEVELING USING IMPROVED GENETIC ALGORITHM by unknown

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Simulated annealing and improved genetic algorithms for path testing. (c1997) by Joumaa, Rania

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Mining breast cancer genetic data for improved diagnosis. (c2012) by Zantout, Rouba Samir

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A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models by Azar, Danielle

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Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes by Rozaimi Mohamad Razali (18589444)

“…<p dir="ltr">Arab populations are largely understudied, notably their genetic structure and history. Here we present an in-depth analysis of 6,218 whole genomes from Qatar, revealing extensive diversity as well as genetic ancestries representing the main founding Arab genealogical lineages of Qahtanite (Peninsular Arabs) and Adnanite (General Arabs and West Eurasian Arabs). …”

Intelligent Fusion of Deep Features for Improved Waste Classification by Kashif Ahmad (12592762)

“…In total, we employ and compare six different fusion methods including two feature-level fusion schemes, namely (i) Discriminant Correlation Analysis and (ii) simple concatenation of deep features, and four late fusion methods, namely (i) Particle Swarm Optimization, (ii) Genetic modeling of deep features (iii) Induced Ordered Weighted Averaging and (iv) a baseline method where all the deep models are treated equally. …”

Stability improvement of the PSS-connected power system network with ensemble machine learning tool by M.S. Shahriar (19517536)

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

“…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …”

Timing driven genetic placement by Sait, Sadiq M.

“…The placement algorithm follows the genetic paradigm, with the objective of minimizing both area and path slacks. …”
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Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk by Nick Shrine (220391)

“…Individual variants showed heterogeneity across ancestries, age and smoking groups, and collectively as a genetic risk score showed strong association with COPD across ancestry groups. …”

Author Correction: Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk by Nick Shrine (220391)

“…<p dir="ltr">Author Correction to: Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk: <a href="https://dx.doi.org/10.1038/s41588-023-01314-0" target="_blank">https://dx.doi.org/10.1038/s41588-023-01314-0</a>, published online 13 March 2023.…”

Genetics of a tropical heart condition by Nature Research (16552612)

“…</p><p>In 2014, an international team of researchers collaborated to investigate a potential genetic link to EMF and published their results in the journal <i>Global Cardiology Science & Practice.…”

Incremental & classical genetic algorithm. (c2001) by Awad, Mohamad M.

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Timing driven genetic algorithm for standard-cell placement by Sait, Sadiq M.

“…The placement algorithm follows the genetic paradigm. At early generations, the search is biased toward solutions with superior timing characteristics. …”
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A new genetic algorithm approach for unit commitment by Mantawy, A.H.

“…This paper presents a new genetic algorithm approach to solve the unit commitment problem in electric power systems. …”
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Exam scheduling algorithms. (c1999) by Mikati, Ziad

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A genetic algorithm for corrective retesting. (c1995) by Fakih, Khaled A.

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Comparative Transcriptome Analysis Reveals That Exendin-4 Improves Steatosis in HepG2 Cells by Modulating Signaling Pathways Related to Lipid Metabolism by Khaoula Errafii (10914446)

A genetic-based algorithm for fuzzy unit commitment model by Mantawy, A.H.

“…Numerical results showed an improvement in the solutions costs compared to the results reported in the literature and the GA with crisp UCP model…”
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Genetic and heuristic algorithms for regrouping service sites. (c2000) by Tabbara, Hiba

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