Results 41 to 50 of about 426 (167)

HCSMBO: A hybrid cat swarm and monarch butterfly optimization algorithm for energy consumption optimization in industrial internet of things

Alexandria Engineering Journal
Energy consumption optimization is crucial for improving the quality of application services in the industrial Internet of Things (IIoT) environment. Traditional optimization methods often adopt blind search strategies, which leads to a significant waste
Yongmei Wang, Weiwei Ma, Li Song, Zerui Cai   +3 more
doaj   +1 more source

Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation

Complexity, 2019
Many optimization problems have become increasingly complex, which promotes researches on the improvement of different optimization algorithms. The monarch butterfly optimization (MBO) algorithm has proven to be an effective tool to solve various kinds ...
Lin Sun, Suisui Chen, Jiucheng Xu, Yun Tian   +3 more
doaj   +1 more source

Amazonian fish migration as a social–cultural–ecological process

People and Nature, Volume 7, Issue 12, Page 3297-3312, December 2025.
Abstract In this study, we highlight the rich perspectives and explanations of fish migration held by Indigenous groups across the Amazon. We present the aspects of Indigenous cosmological stories, drawing from our exploratory review of cultural ethnographies and grey literature, as well as the authors' own experiences. We ask, how do Amazonian peoples
LuLu Victoria‐Lacy, Thiago B. A. Couto, Natalia C. Piland, Jesús Dámaso, Stephannie Fernandes, Simone Athayde, Elizabeth P. Anderson   +6 more
wiley   +1 more source

Benefits, concerns, and sustainable alternatives to genetically modified crops from a global and Indian perspective

The Plant Genome, Volume 18, Issue 4, December 2025.
Abstract The global population, set to exceed 10 billion by 2050, presents enormous challenges to food, health, nutrition, energy, and environmental security. Plant breeding methods have continuously evolved to develop improved crop varieties to meet these demands.
Chittaranjan Kole, Sarita Pandey, Jeshima Khan Yasin, Sujan Mamidi, Abhishek Bohra, Poulami Bhattacharya, Devraj Dhanraj, Gnanasekaran Madhavan, Dinesh Saini, Sayak Ganguli, Bhargavi HA, Sayanti Mandal, Sangita Agarwal, Arumugam Pillai M, Madhugiri Nageswara‐Rao, Swarup K. Chakrabarti, Prakash C. Sharma, Akshay Talukdar, Jogeswar Panigrahi, Manikanda Boopathi N   +19 more
wiley   +1 more source

Using Monarch Butterfly Optimization to Solve the Emergency Vehicle Routing Problem with Relief Materials in Sudden Disasters

Open Geosciences, 2019
China has one of the highest rates of natural disasters in the world. In recent years, the Chinese government has placed a high value on improving emergency natural disaster relief.
Yi Jiao-Hong, Wang Jian, Wang Gai-Ge
doaj   +1 more source

Comprehensive profiling of lncRNAs and mRNAs enriched in small extracellular vesicles for early noninvasive detection of colorectal cancer: diagnostic panel assembly and extensive validation

Molecular Oncology, Volume 19, Issue 11, Page 3445-3462, November 2025.
Small extracellular vesicles are a promising source of diagnostic molecules. We conducted a comprehensive study, including transcriptome profiling and RT‐qPCR validation on large cohorts of samples. Diagnostic panels enabling sensitive detection of colorectal cancer and precancerous lesions were established. Some molecules were differentially expressed
Petra Vychytilova‐Faltejskova, Marketa Pavlikova, Lucie Pifkova, Robin Jugas, Tana Machackova, Lenka Radova, Milana Sachlova, Renata Bartosova, Tetiana Samoilenko, Zuzana Feckova, Jana Orlickova, Erika Slamova, Elleni Ponechal Michu, Dagmar Al Tukmachi, Michaela Ruckova, Martina Vodinska, Jan Kotoucek, Tina Catela Ivkovic, Marie Boudna, Lucia Bohovicova, Teodor Stanek, Jana Halamkova, Martin Svoboda, Vladimir Prochazka, Tomas Grolich, Zdenek Kala, Ondrej Slaby   +26 more
wiley   +1 more source

Unsupervised Deep Image Prior‐Based Neural Networks for Single Image Super‐Resolution: Comparative Analysis and Modelling Guidelines

Expert Systems, Volume 42, Issue 11, November 2025.
ABSTRACT Deep Image Prior (DIP) has been recently introduced as a method to exploit the structural priors inherent to neural networks. In the field of image processing, DIP effectively addresses various problems such as denoising, inpainting, image restoration and super‐resolution.
Alejandra Abalo‐García, Iván Ramírez, Emanuele Schiavi   +2 more
wiley   +1 more source

Stochastic Economic Dispatch of Hydro-Thermal-Wind-Photovoltaic Power System Considering Mixed Coal-Blending Combustion

IEEE Access, 2020
This paper proposes a stochastic economic dispatch (SED) model for hydro-thermal-wind-photovoltaic power system (HTWPPS) considering mixed coal-blending combustion (MCBC) to improve the operational efficiencies of thermal power units (TPUs) with deep ...
Qiuli Huang, Song Han, Na Rong, Jingxin Luo, Xiao Hu   +4 more
doaj   +1 more source

Spatial Interpolation in Applied Insect Ecology: A Review, Including Guidelines and Datasets for Practical Use

Journal of Applied Entomology, Volume 149, Issue 9, Page 1319-1334, November 2025.
ABSTRACT Spatial interpolation represents a fundamental approach in applied insect ecology, offering insight into species distributions and supporting biodiversity analysis, pest management and disease vector mapping. Insects—including important pollinators—face escalating threats due to habitat loss, climate change and anthropogenic pressures. As data‐
Janne Heusler, Jonas Funk, Andreas Wagner   +2 more
wiley   +1 more source

Bioinspired Design, Fabrication, and Wing Morphing of 3D‐Printed Magnetic Butterflies

Advanced Intelligent Systems, Volume 7, Issue 9, September 2025.
Inspired by the remarkable flight of monarch butterflies, lightweight, 3D‐printed magnetic butterflies are fabricated that mimic natural wing morphing without embedded electronics. By varying size, vein patterns, and laser energy in powder bed fusion printing, how these factors enhance deformation efficiency is shown.
Muhammad Bilal Khan, Kilian Schäfer, Florian Hofmann, Matthias Lutzi, Eduardo Sergio Oliveros‐Mata, Oleksandr Pylypovskyi, Denys Makarov, Oliver Gutfleisch   +7 more
wiley   +1 more source