Results 111 to 120 of about 39,754 (281)

Suitable habitat of Himalayan wolf in Upper Mustang, Annapurna Conservation Area, Nepal

open access: yesWildlife Biology, EarlyView.
Decades ago, the Himalayan wolf Canis lupus chanco, a genetically distinct sub‐species of the gray wolf Canis lupus, faced persecution by local communities in the Nepalese Himalayas. Recently, wolf populations have returned and recolonized, sparking concerns about conflicts over livestock depredation, and emphasizing the urgent need for comprehensive ...
Deu Bahadur Rana   +5 more
wiley   +1 more source

Implementation of positions updating in grey wolf optimizer.

open access: yes
Implementation of positions updating in grey wolf optimizer.
Duy Anh Nguyen (17742944)   +4 more
core   +1 more source

Prediction of solar irradiance using grey wolf Optimizer-Least-Square support vector machine

open access: yes, 2020
Prediction of solar irradiance is important for minimizing energy costs and providing high power quality in a photovoltaic (PV) system. This paper proposes a new technique for prediction of hourly-ahead solar irradiance namely Grey Wolf Optimizer- Least ...
Hasmaini Mohamad   +9 more
core   +2 more sources

A Dynamic Opposite Learning-Assisted Grey Wolf Optimizer

open access: yes, 2022
The grey wolf optimization (GWO) algorithm is widely utilized in many global optimization applications. In this paper, a dynamic opposite learning-assisted grey wolf optimizer (DOLGWO) was proposed to improve the search ability.
Chao Chen   +7 more
core   +1 more source

DNA metabarcoding reveals wolf dietary patterns in the northern Alps and Jura Mountains

open access: yesWildlife Biology, EarlyView.
Understanding predator–prey interactions is crucial for wildlife management and human–wildlife coexistence, particularly in multi‐use landscapes such as western Europe. As wolves Canis lupus recolonize their former habitats, knowledge of their diet is essential for conservation, management and public acceptance.
Florin Kunz   +6 more
wiley   +1 more source

Ionothermal Synthesis of Cu(Sb2Se3)[AlCl4] and Cu5(Bi2Se3)6[AlCl4]5 : Monolayers of Sb2Se3 and Bi2Se3 Stabilized by Cu[AlCl4]

open access: yesZeitschrift für anorganische und allgemeine Chemie, EarlyView.
Ionothermal synthesis in Lewis‐acidic ionic liquids (ILs) yields two new low‐dimensional pnictogen–selenide networks cocrystallized with Cu[AlCl4]. Both are narrow‐gap semiconductors that exhibit strong absorption throughout the visible range. Topochemical AlCl3 extraction triggers partial delamination, pointing to a viable route toward 2D derivatives.
Oliver Dreimann   +2 more
wiley   +1 more source

Optimizing Agricultural Management Practices for Maize Crops: Integrating Clusterwise Linear Regression with an Adaptation of the Grey Wolf Optimizer

open access: yesAgriculture
Effectively managing agricultural practices is crucial for maximizing yield, reducing investment costs, preserving soil health, ensuring sustainability, and mitigating environmental impact.
Germán-Homero Morán-Figueroa   +2 more
doaj   +1 more source

A Random Opposition-Based Learning Grey Wolf Optimizer

open access: yesIEEE Access, 2019
Grey wolf optimizer (GWO) algorithm is a swarm intelligence optimization technique that is recently developed to mimic the hunting behavior and leadership hierarchy of grey wolves in nature.
Wen Long   +4 more
doaj   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis   +7 more
wiley   +1 more source

Many-Objective Grey Wolf Optimizer (MaOGWO) for solving real-world problems

open access: yesResults in Engineering
The Grey Wolf Optimizer (GWO) is an effective optimization algorithm that primarily focuses on single objective optimization and is characterized by its simplicity and fast convergence.
Kanak Kalita   +5 more
doaj   +1 more source

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