Results 51 to 60 of about 654 (182)

Linear Antenna Array Synthesis by Modified Seagull Optimization Algorithm

The Applied Computational Electromagnetics Society Journal (ACES), 2022
This paper presents a study of linear antenna array (LAA) synthesis with a seagull optimization algorithm (SOA) to achieve radiation patterns having low maximum sidelobe levels (MSLs) with and without nulls. The SOA is a new optimization technique based on the moving and attacking behaviors of the seagull in the nature.
Erhan Kurt, Suad Basbug, Kerim Guney
openaire   +2 more sources

Power generation cost minimization of the grid-connected hybrid renewable energy system through optimal sizing using the modified seagull optimization technique

Energy Reports, 2020
A hybrid renewable power system is studied in this paper. This system is composed of PV panels, wind turbines, inverter, rectifier, electrolyzer, and fuel cell such that it prioritizes storing excess energy by converting it to hydrogen and using it later
Gang Lei, Heqing Song, Dragan Rodriguez
doaj   +1 more source

Wind Power Forecasting Using Optimized Dendritic Neural Model Based on Seagull Optimization Algorithm and Aquila Optimizer

, 2022
It is necessary to study different aspects of renewable energy generation, including wind energy. Wind power is one of the most important green and renewable energy resources.
Mohamed Abd Abd Elaziz, Mohammed A. A. Al-qaness, Mohamed Abd Elaziz, Ahmed A. Ewees, Ahmed H. Samak   +4 more
core   +1 more source

Automatic Detection of Tuberculosis Using VGG19 with Seagull-Algorithm [PDF]

, 2022
Due to various reasons, the incidence rate of communicable diseases in humans is steadily rising, and timely detection and handling will reduce the disease distribution speed.
Thinnukool, Orawit, Seifedine Kadry, Mohan, Ramya, Arnab Majumdar, Ramya Mohan, Rajinikanth, Venkatesan, Majumdar, Arnab, Kadry, Seifedine, Orawit Thinnukool, Venkatesan Rajinikanth   +9 more
core   +1 more source

Optimal deep learning activity recognition pipeline using animal bio‐logging data

Methods in Ecology and Evolution, EarlyView.
Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley   +1 more source

Cloud computing: an efficient load balancing and scheduling of task method using a hybrid optimization algorithm

, 2023
The cloud computing trend on the internet is vital as it allows data and applications to be managed over the internet instead of requiring personal devices.
Ravinder, Ravinder, Vurukonda, Naresh
core   +1 more source

Cadaveric Study of the Juvenile Grey Heron's (Ardea cinerea) Nasal Cavity and Associated Structures Through Computed Tomography and Anatomical Sections

Veterinary Medicine and Science, Volume 12, Issue 4, July 2026.
This study provides the first comprehensive anatomical and CT characterization of the nasal cavity of the grey heron, enabling the identification of its major components and spatial organization. Correlative evaluation of multiplanar CT images with anatomical sections proved highly effective for delineating landmarks, offering a reference for clinical ...
Natalia Roldán‐Medina, Pablo Paz‐Oliva, Álvaro Ros, Carlos Melián, Esteban Pérez, Alejandro Morales‐Espino, Manuel Morales, Francisco Suárez‐Cabrera, José Raduan Jaber   +8 more
wiley   +1 more source

Research on the purification mechanism of heavy metal pollution by biochar composites driven by degree learning [PDF]

E3S Web of Conferences
This paper proposes an innovative approach by integrating deep learning technology, specifically employing the GRU recurrent neural network model based on the Seagull optimization algorithm, to enhance the accuracy of predicting biochar performance.
Dai Anran, Jia Luxia, Zhan Aoli, Zhang Xiuze   +3 more
doaj   +1 more source

The spread of non‐native species

Biological Reviews, Volume 101, Issue 3, Page 1197-1234, June 2026.
ABSTRACT The global redistribution of species through human agency is one of the defining ecological signatures of the Anthropocene, with biological invasions reshaping biodiversity patterns, ecosystem processes and services, and species interactions globally.
Phillip J. Haubrock, Ali Serhan Tarkan, Irene Martín‐Forés, Stelios Katsanevakis, Ronaldo Sousa, Ismael Soto, Andy J. Green, Antonín Kouba, Teun Everts, Victoria Dominguez Almela, Nadège Belouard, Cang Hui, Jamie Bojko, Victor Deklerck, Margaux Boeraeve, Franz Essl, J. Robert Britton   +16 more
wiley   +1 more source

A Novel Hybrid Model Based on an Improved Seagull Optimization Algorithm for Short-Term Wind Speed Forecasting

, 2021
Wind energy is a clean energy source and is receiving widespread attention. Improving the operating efficiency and economic benefits of wind power generation systems depends on more accurate short-term wind speed predictions.
Yingchao Zhang, Yuanlu Li, Fanghong Zhang, Xin Chen, Xiong Xiong, Xiaoling Ye   +5 more
core   +1 more source