Results 61 to 70 of about 475 (164)

Quantum deep reinforcement learning-augmented pelican optimization for robust UPQC control in wind-grid integrated DFIG systems

AIP Advances
This paper proposes an enhanced Pelican Optimization with Quantum Process Deep Reinforcement Learning algorithm (POQPDRL) control framework for the synergized control of a grid-connected DFIG-based wind energy system integrated with a Unified Power ...
P. V. S. S. A. Parimala, Narendra Babu P
doaj   +1 more source

From Body Positivity and Beyond: Investigating Affective Aesthetic Atmospheres of Influencers

Journal of Consumer Behaviour, Volume 24, Issue 3, Page 1373-1391, May 2025.
ABSTRACT How do influencers create content on social media that shapes consumer experiences and discourse around beauty standards? While research recognizes the power of influencers to help motivate market‐level changes, limited research has investigated this performance, particularly related to content intended to resist existing aesthetic norms. This
Kelley Cours Anderson, Karen Anne Wallach, Pia A. Albinsson, Ryann Tracy   +3 more
wiley   +1 more source

Improved BBHE Technique Based of Pelican Optimization Algorithm for Plant Tomato Diseases Images Enhancement [PDF]

مجلة جامعة الانبار للعلوم الصرفة
Image enhancement is of utmost importance in image analysis, employing intricate procedures and techniques. Enhancing photos of plant diseases is a complex task in image processing due to the presence of low quality and numerous image characteristics ...
Ahmed Ismael, Iman Khazal
doaj   +1 more source

Plant species richness promotes the decoupling of leaf and root defence traits while species‐specific responses in physical and chemical defences are rare

New Phytologist, Volume 246, Issue 2, Page 729-746, April 2025.
Summary The increased positive impact of plant diversity on ecosystem functioning is often attributed to the accumulation of mutualists and dilution of antagonists in diverse plant communities. While increased plant diversity alters traits related to resource acquisition, it remains unclear whether it reduces defence allocation, whether this reduction ...
Leonardo Bassi, Justus Hennecke, Cynthia Albracht, Marcel Dominik Solbach, Akanksha Rai, Yuri Pinheiro Alves de Souza, Aaron Fox, Ming Zeng, Stefanie Döll, Van Cong Doan, Ronny Richter, Anja Kahl, Lea Von Sivers, Luise Winkler, Nico Eisenhauer, Sebastian T. Meyer, Nicole M. van Dam, Alexandra Weigelt   +17 more
wiley   +1 more source

Comprehensive Optimization of PID Controller Parameters for DC Motor Speed Management Using a Modified Jellyfish Search Algorithm

Optimal Control Applications and Methods, Volume 46, Issue 1, Page 320-342, January/February 2025.
Conceptual design of PID controller optimization for DC motors using nature‐inspired algorithms. ABSTRACT The proportional integral derivative (PID) controller plays a crucial role in various industrial applications. However, conventional methods often fail to provide optimal parameter values.
Aykut Fatih Güven, Onur Özdal Mengi, Mohamed A. Elseify, Salah Kamel   +3 more
wiley   +1 more source

Hyperparameter tuning of diabetes prediction using machine learning algorithm with pelican optimization algorithm

The Scientific Temper
Machine learning algorithms are employed in public health to forecast or diagnose chronic epidemiological illnesses like diabetes, which have global rates of transmission and infection. Machine learning technology may be applied to diagnostic, prognostic, and evaluation methods for a number of illnesses, including diabetes.
null T. Ramyaveni, null V. Maniraj
openaire   +1 more source

Hybrid Neural Network Approach for Tea Leaf Disease Detection Using Pelican and Mayfly Optimization Algorithms

Jurnal Riset Informatika
This study addresses the problem of plant diseases and the difficulty of detecting them, and it presents a unique technique for the automatic detection of tea leaf diseases by combining neural networks and optimization techniques.
Saja Bilal Hafedh Al-Karawi, Hakan Koyuncu   +1 more
doaj   +1 more source

Advanced Multi Objective Task Scheduling Using Pelican Optimization Algorithm and Sand Cat Swarm Optimization Algorithm

Journal of Electrical Systems
Cloud computing (CC), which has picked up notoriety as a computing innovation, gives energetic and adaptable computing assets. Compelling assignment planning plays a pivotal part in CC since it optimizes the dispersion of errands among accessible assets for best execution.
openaire   +1 more source

Optimal Coordination of Directional Overcurrent Relays (DOCR) Using Cheetah Optimizer

Tikrit Journal of Engineering Sciences
This paper suggests a nature-inspired optimization technique, the Cheetah Optimizer (CO), to achieve optimal Directional Overcurrent Relays (DOCRs) coordination.
Wisam Najm Al-Din Abed
doaj   +1 more source

Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid

Frontiers in Energy Research
IntroductionPhotovoltaic systems offer immense potential as a future energy source, yet maximizing their efficiency presents challenges, notably in achieving optimal voltage due to their nonlinear behavior.
Burhan U. Din Abdullah, Suman Lata Dhar, Shiva Pujan Jaiswal, Muhammad Majid Gulzar, Muhammad Majid Gulzar, Mohammad Alqahtani, Muhammad Khalid, Muhammad Khalid   +7 more
doaj   +1 more source