Results 61 to 70 of about 3,956,038 (177)

Evolution and Climate Adaptation in Eurasian Gyrfalcon Populations

Ecology and Evolution, Volume 16, Issue 2, February 2026.
This reports the influence of past, current and future Arctic climate change to the evolution of Eurasian gyrfalcons (Falco rusticolus), and reveals that its current evolutionary potential is insufficient to cope with the ongoing Arctic warming. ABSTRACT Climate change is considered a key driver for shaping ecological and evolutionary processes of ...
Xin Liu, Li Hu, Zhenzhen Lin, Shengkai Pan, Siying Huang, Vasiliy Sokolov, Aleksandr Sokolov, Ivan Fufachev, Sergey Ganusevich, Andrew Dixon, Xiangjiang Zhan   +10 more
wiley   +1 more source

Dynamic Enzyme‐Inspired Nonlinear Optimisation of Feedforward‐Compensated PI Controllers for Robust Speed Regulation in Complex DC Motor Systems

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
In response to these gaps, this study proposes a novel control framework that integrates a PI + FF controller with a dynamic parameter tuning mechanism inspired by enzyme‐based biological processes. The proposed method, referred to as the Dynamic Enzyme Action Optimiser (dEAO), departs from static optimisation schemes by adaptively adjusting all ...
Gökhan Yüksek, Serdar Ekinci, Davut Izci, Timur Lale, Rıdvan Fırat Çınar, Burcu Bektaş Güneş, Mohit Bajaj, Vojtech Blazek, Olena Rubanenko   +8 more
wiley   +1 more source

A Game‐Theoretic Reinforcement Learning Approach to Energy‐Balanced Cluster‐Head Selection in Wireless Sensor Networks

IET Networks, Volume 15, Issue 1, January/December 2026.
We introduce a hybrid game theory–reinforcement learning approach for cluster‐head selection and clustering in wireless sensor networks, aiming to mitigate premature node depletion and improve fairness. The method learns adaptive clustering decisions while leveraging a game‐theoretic utility to guide energy‐efficient behaviour.
Mehrshad Eskandarpour, Saba Pirahmadian, Parham Soltani, Hossein Soleimani   +3 more
wiley   +1 more source

A Hybrid Fitness‐Guided Starfish Optimiser for Stochastic Allocation of Photovoltaic Energy Sources in Distribution Systems

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This paper develops a hybrid fitness‐guided starfish optimiser (HF‐SFO) for stochastic photovoltaic‐distributed generation integration in radial distribution networks. Hybridised with the point estimate method, the proposed HF‐SFO models load demand and PV uncertainty using a reduced scenario matrix of five cases, each with assigned probabilistic ...
Ali S. Aljumah, Mohammed H. Alqahtani, Ahmed Ginidi, Abdullah M. Shaheen   +3 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

Flexibility‐Reserve‐Aware Coordinated Optimal Scheduling of a Park‐Level Power–Hydrogen–Electric‐Vehicle System for High‐Penetration Renewable Energy Accommodation

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This study investigates the coordinated scheduling of electricity, heat, hydrogen, and electric vehicles in a hydrogen‐integrated energy system with high renewable energy penetration. By incorporating multi‐energy flexibility reserve constraints and the adjustable capacity of electric vehicle clusters, the proposed model improves the system's ability ...
Zipeng Yang, Tianyou Yu, Yuhua Luo, Muhammad Muzammal Islam, Gang Yao, Lidan Zhou   +5 more
wiley   +1 more source

Parallel Genomic Remodelling Associated With Independent Terrestrialization Events in Arthropods

Molecular Ecology, Volume 35, Issue 1, January 2026.
ABSTRACT The repeated transition from aquatic to terrestrial environments (terrestrialization) has shaped the evolutionary trajectory of many animal lineages, yet the genomic basis of this ecological shift remains incompletely understood. Arthropods, with multiple independent terrestrialization events, provide a powerful system to investigate whether ...
Lisandra Benítez‐Álvarez, Vanina Tonzo, Leandro Aristide, Rosa Fernández   +3 more
wiley   +1 more source

Optimizing Fast Learning Network Using Fuzzy Adaptive Metaheuristic Algorithms for Robust Intrusion Detection

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
In today’s digital era, the prevalence of cyberattacks requires robust security measures to keep sensitive and confidential information and infrastructure safe and secure. The intrusion detection system (IDS) plays the most vital role in this aspect by serving as a first‐line defense against these malicious activities and potential breaches. This paper
Fakhrud Din, Fida Ur Rahman, Dost Muhammad, Mohammad Hasan Ali, Mushtaq Ali, Malika Bendechache, Cheng-Jian Lin   +6 more
wiley   +1 more source

Investigating the Mechanical and Microstructural Properties With Machine Learning Optimization of Recycled Eco‐Friendly PET Modified Concrete

Advances in Civil Engineering, Volume 2026, Issue 1, 2026.
Over the past decades, studies have demonstrated the effectiveness of polyethylene (PE) and PE terephthalate (PET) as an alternative to aggregates in enhancing concrete performance. This research aims to predict the compressive strength (CS) of PE and PET‐incorporated concrete by evaluating the influence of key factors, including cement content, PET ...
Md. Alhaz Uddin, Md. Habibur Rahman Sobuz, Ibrahim Y. Hakeem, Mohamed AbdelMongy, Md. Kawsarul Islam Kabbo, Md. Kanan Chowdhury Tilak, Arnab Biswas   +6 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