Results 61 to 70 of about 509 (150)

Remote sensing and foraging data illustrate landscape‐scale considerations for coastal restoration and avian management

Ecological Applications, Volume 35, Issue 8, December 2025.
Abstract As coastal restoration projects around the world continue to grow in scale and frequency, it is critical to consider how modified landscapes support wildlife species of concern and broader ecosystem function. In the northern Gulf of Mexico, particularly coastal Louisiana, maintenance of barrier islands serves to protect inland human ...
Brock Geary, W. Ryan James, Jordan Karubian, James A. Nelson, Paul L. Leberg   +4 more
wiley   +1 more source

Efficient approach for optimal parameter estimation of PV using Pelican Optimization Algorithm

Cogent Engineering
In order to optimize the performance of a Solar Photovoltaic (PV) system, it is necessary to develop an appropriate PV cell model and accurately determine the unknown parameters associated with the model. The process of extracting parameters for PV models is a complex optimization issue that involves nonlinearity and multiple models.
Asmita Ajay Rathod, Balaji Subramanian
openaire   +2 more sources

Recent Advances in the Utilization of Imidazolium‐Based Ionic Liquids for Chemical‐Enhanced Oil Recovery: A Comprehensive Review

The Chemical Record, Volume 25, Issue 12, December 2025.
This review highlights the recent advancements in imidazolium‐based ionic liquids for enhanced oil recovery (EOR), focusing on their ability to reduce interfacial tension, alter wettability, and stabilize emulsions. Their tunable chemistry, thermal stability, and recyclability position them as effective and sustainable alternatives to conventional EOR ...
Noran Mousa, Basim Abu‐Jdayil, Abdulrazag Y. Zekri   +2 more
wiley   +1 more source

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

Sub/Supersynchronous Oscillations Suppression Strategy Considering Interaction Energy Between Doubly Fed Induction Generators

IET Smart Energy Systems, Volume 1, Issue 3, Page 259-271, December 2025.
This paper proposes a coordinated suppression strategy for sub/supersynchronous oscillations considering both single machine dynamic energy and unit interaction dynamic energy. The proposed suppression method combines parameter optimisation and energy compensation branch methods, effectively suppressing the sub/supersynchronous oscillations while ...
Yanfeng Ma, Jia Jia, Xiaoyu Guo, Zijian Wang, Shuqiang Zhao   +4 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

Multi‐Tool Marine Metabarcoding Bioassessment for Baselining and Monitoring Species and Communities in Kelp Habitats

Molecular Ecology Resources, Volume 25, Issue 7, October 2025.
ABSTRACT The astonishing biological diversity found in Californian kelp forests requires efficient and robust monitoring tools to better understand ecological trends and mitigate against loss or disruption of ecosystem services due to human pressure and climate changes.
Giulia Maiello, Marilla R. Lippert, Erika F. Neave, Erik A. Hanson, Stephen R. Palumbi, Stefano Mariani   +5 more
wiley   +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

Improving pelican optimization algorithm for solving integer and mixed integer optimization problems

Statistics, Optimization & Information Computing
Mixed-integer linear programming (MILP) problems, prevalent in logistics, scheduling, and resource allocation, pose significant computational challenges due to their NP-hard nature, prompting the need for efficient metaheuristic approaches. This study proposes an enhanced pelican optimization algorithm (POA) that adapts the original population-based ...
Lamyaa Mohammed, Ghalya Basheer, Zakariya Algamal   +2 more
openaire   +1 more source

Bearing fault diagnosis method based on fractional divergence entropy and improved pelican algorithm to optimize ELM

Jixie chuandong
ObjectiveAiming at the problems of insufficient classification performance and strong parameter selection sensitivity of extreme learning machine (ELM) in rolling bearing fault diagnosis, an optimized ELM fault diagnosis method based on fractional ...
MI Zhentao, YANG Yanshuai, ZHU Guoqing, SONG Yuxi, ZHANG Ruifeng, LIU Bing   +5 more
doaj