Results 101 to 110 of about 3,332,658 (221)

Inferring the Landscapes of Mutation and Recombination in the Common Marmoset (Callithrix jacchus) in the Presence of Twinning and Hematopoietic Chimerism

American Journal of Primatology, Volume 88, Issue 10, October 2026.
Using high‐quality population genomic data, Soni, Versoza and colleagues infer the rates and landscapes of mutation and recombination in the common marmoset (Callithrix jacchus)—two fundamental processes dictating the levels and patterns of genetic variability—within the context of two biological peculiarities related to the reproductive mode of the ...
Vivak Soni, Cyril J. Versoza, Jeffrey D. Jensen, Susanne P. Pfeifer   +3 more
wiley   +1 more source

A survey on Grey wolf optimization Algorithms

Grey wolf optimizer (GWO) is arising from grey wolves. The grey wolf algorithmic rule imitate the hunting mechanism of grey wolf. This algorithmic rule is very successful in engineering field. GWO algorithmic rule is very popular in research and analyses in terms of anatomy and manipulation.
openaire   +4 more sources

Advancing Long‐Term Energy Demand Forecasting: A PRISMA‐Guided Systematic Review of AI and Econometric Models

Applied Research, Volume 5, Issue 5, October 2026.
Through a PRISMA‐guided review of 42 studies, this work compares deep learning, ensemble machine learning, and statistical/econometric models for long‐term energy demand forecasting, showing that model choice should balance accuracy, interpretability, data availability, and policy relevance.
Nor Afiza Mohd Noor, Mohamad Fani Sulaima, Mohd Khairil Rahmat, Norhafiza Mohamad, Hazlie Mokhlis   +4 more
wiley   +1 more source

A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection

IEEE Access, 2019
Grey wolf optimizer (GWO) is a very efficient metaheuristic inspired by the hierarchy of the Canis lupus wolves. It has been extensively employed to a variety of practical applications.
Sankalap Arora, Harpreet Singh, Manik Sharma, Sanjeev Sharma, Priyanka Anand   +4 more
doaj   +1 more source

Integrated scRNA‐Seq and Spatial Transcriptomics Reveal CHPF and GPC1 as Markers of Cancer‐Associated Fibroblast–Dominant Domains in Colorectal Cancer

Cancer Medicine, Volume 15, Issue 10, October 2026.
ABSTRACT Spatial heterogeneity in the colorectal cancer (CRC) tumor microenvironment (TME) is closely related to stromal organization and may influence treatment‐related features. In this study, we integrated single‐cell RNA sequencing and spatial transcriptomic data from CRC tissues to examine cancer‐associated fibroblast (CAF)‐dominant spatial ...
Yuan‐jie Liu, Qian‐wen Ye, Hui Zhang, Ning Yang, Yang Li, Jie‐pin Li   +5 more
wiley   +1 more source

Opposition Based Competitive Grey Wolf Optimizer For EMG Feature Selection

, 2020
This paper proposes a competitive grey wolf optimizer (CGWO) to solve the feature selection problem in electromyography (EMG) pattern recognition. We model the recently established feature selection method, competitive binary grey wolf optimizer (CBGWO),
Abdullah, Abdul Rahim, Too, Jing Wei
core   +1 more source

Optimizing Photovoltaic Panel Performance: A Comparative Study of Meta-Heuristic Algorithms [PDF]

Advances in Engineering and Intelligence Systems
Solar energy is a significant source of energy due to its accessibility and cleanliness. Photovoltaic (PV) systems are among the most efficient methods for converting solar energy into electrical energy.
M. Sundar Rajan
doaj   +1 more source

A Critical Analysis of Optimization Algorithms for Cultural Heritage Conservation and Management

Engineering Reports, Volume 8, Issue 10, October 2026.
Methodological framework and decision‐support roadmap for optimization algorithms in cultural heritage conservation and management. ABSTRACT Heritage buildings symbolize cultural identity, architectural character, and historical epitome of communities.
Eslam Mohammed Abdelkader, Abobakr Al‐Sakkaf, Moaaz Elkabalawy, Kyrillos Ebrahim, Haytham Elmousalami, Mohammed Algamati, Ghasan Alfalah   +6 more
wiley   +1 more source

A Dynamic Opposite Learning-Assisted Grey Wolf Optimizer

, 2022
The grey wolf optimization (GWO) algorithm is widely utilized in many global optimization applications. In this paper, a dynamic opposite learning-assisted grey wolf optimizer (DOLGWO) was proposed to improve the search ability.
Chao Chen, Yunlang Xu, Yuqian Zhang, Chengyu Jin, Qiang Li, Yang Wang, Zhile Yang, Tianyu Hu   +7 more
core   +1 more source

A State‐of‐the‐Art Comprehensive Review: Application of Artificial Intelligence in Predicting the Load‐Bearing Capacity of Piles

Engineering Reports, Volume 8, Issue 10, October 2026.
This graphical abstract provides a systematic bibliometric and thematic dissection of artificial intelligence applications for predicting pile load‐bearing capacity, synthesized from 135 rigorously selected studies published across the past three decades.
Mohammadreza Ahmadi Golsefidi, Mahzad Esmaeili‐Falak   +1 more
wiley   +1 more source