Results 81 to 90 of about 46,935 (324)
ABSTRACT Post‐translational modifications (PTMs) to tubulin subunits in microtubule filaments are thought to comprise a component of the tubulin code that specifies microtubule functions in cell physiology and animal development. Acetylation of Lysine‐40 (K40) on α‐tubulin (αTub‐K40ac) and glutamylation of both α‐ and β‐tubulin are two tubulin PTMs of ...
Lynne Blasius +6 more
wiley +1 more source
A Hybrid Discrete Grey Wolf Optimizer to Solve Weapon Target Assignment Problems
We propose a hybrid discrete grey wolf optimizer (HDGWO) in this paper to solve the weapon target assignment (WTA) problem, a kind of nonlinear integer programming problems.
Jun Wang +3 more
doaj +1 more source
The path planning of Unmanned Aerial Vehicles (UAVs) is a complex and hard task that can be formulated as a Large-Scale Global Optimization (LSGO) problem.
Raja Jarray +3 more
semanticscholar +1 more source
Models of identification of parallel structure mechanisms [PDF]
Представлено обґрунтування можливості моделювання об'єктів на основі сигнатур, які являють собою образ механізму паралельної структури у вигляді спектра власних коливань структурно пов'язаних актуаторів і виконавчих ланок.
Ковалевська, Олена Сергіївна +1 more
core +1 more source
Landscape of Research on Accounting Scope 3 Emissions: A Review of Methodologies and Data
ABSTRACT Scope 3 emissions have been proposed as a critical metric for evaluating corporate carbon footprint, identifying emission sources, and developing mitigation solutions. Yet, widespread corporate reporting of Scope 3 emissions remains limited, highlighting a critical gap in both research and practice.
Zeyu Wang +3 more
wiley +1 more source
The knowledge of the exact thresholds of parameters in the diesel engines, during combustion, is essential to simulate the combustion process, establish parametric values, reduce cost and predict exhaust emissions.
Chukwuka Prosper Ozule +6 more
doaj +1 more source
Optimization of femtosecond fiber laser pulses with selected machine-learning algorithms [PDF]
We investigate the possibility of optimization of ultrashort laser pulses by spectral phase modulation using machine learning algorithms. We compare the efficiency of two algorithms: Grey Wolf Optimizer and Genetic Algorithm.
Kwaśny Alicja +2 more
doaj +1 more source
Equalized Grey Wolf Optimizer with Refraction Opposite Learning
Grey wolf optimizer (GWO) is a global search algorithm based on grey wolf hunting activity. However, the traditional GWO is prone to fall into local optimum, affecting the performance of the algorithm. Therefore, to solve this problem, an equalized grey wolf optimizer with refraction opposite learning (REGWO) is proposed in this study.
Lijun Sun +4 more
openaire +2 more sources
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh +12 more
wiley +1 more source
Fuzzy Strategy Grey Wolf Optimizer for Complex Multimodal Optimization Problems
Traditional grey wolf optimizers (GWOs) have difficulty balancing convergence and diversity when used for multimodal optimization problems (MMOPs), resulting in low-quality solutions and slow convergence.
Hua Qin, Tuanxing Meng, Yuyi Cao
doaj +1 more source

