Algorithms
Researchers at Hakim Sabzevari University have presented a novel approach to reducing fossil fuel consumption in ships through the implementation of a multigeneration system. The study suggests that this system can produce power, cooling, heating, hydrogen, oxygen, desalinated water, and consumed hot water using a combination of renewable energy sources
Algorithms
Offshore wind farms have emerged as a crucial component of renewable energy generation, offering higher energy production rates due to stronger and more consistent wind conditions. However, these advantages come with significant installation and maintenance costs, necessitating comprehensive optimization analyses to ensure economic feasibility and maximize energy output. Researchers at
Algorithms
Research conducted by Qiqi Gao and Tuo Hua from the Wuxi Institute of Technology has led to breakthroughs in artificial intelligence, particularly in image restoration accuracy. The study introduced a hybrid genetic algorithm that utilizes an elite opposition-based learning strategy and the firefly algorithm to optimize the initial weight and
Algorithms
Researchers at Shandong University in China have developed a new approach to image segmentation using the Harris Hawks Optimization (HHO) algorithm. The team used logistic chaotic mapping to increase the diversity of solutions, introduced the Cauchy mutation operator and opposition-based learning (OBL) strategy to perturb the optimal solution position, and
Algorithms
Numerical simulations of fluid-structure interactions involving compressible fluids and thin-walled structures often encounter numerical oscillation issues, which can have significant implications for accuracy and reliability in various engineering applications. A recent study published in Physics of Fluids proposes a three-phase fluid-structure interaction algorithm based on the extended ghost fluid method
Algorithms
Research from the University of Udine in Italy has led to the development of a novel multi-objective approach based on the NSGA-II Genetic Algorithm (GA) for solving the sensor placement optimization (SPO) problem in water distribution systems. The approach aims to define the optimal water quality sensor system (WQSS) design,
Algorithms
Researchers from the Nanjing University of Science and Technology have conducted a study on the aerodynamic characteristics of axisymmetric bullets, with a focus on optimizing their shape to improve design efficiency. By using a combination of the response surface method and the NSGA-II algorithm, the team was able to identify
Algorithms
Research from Imam Mohammad Ibn Saud Islamic University has unveiled a new framework called QYieldOpt, a hybrid quantum-classical approach that optimizes resource allocation in precision farming. Leveraging quantum computing's parallelism and ultra-sensitive environmental monitoring, QYieldOpt has shown impressive results in simulations, achieving 89% water utilization and 8492 kg
Algorithms
A team of researchers at the University of Ulsan in South Korea has made a breakthrough in simulating high-temperature proton exchange membrane fuel cells (PEMFCs) using a novel deep learning approach. The study aimed to address the high computational cost and data generation challenges in PEMFC simulations by introducing a
Algorithms
Researchers at the University of Science & Technology Liaoning have developed a zebra optimization algorithm that uses chaotic convergence factor and Gaussian variation to improve the accuracy of predictive models in chemical plants. The algorithm, which has been tested on butane tower production processes, showed superior performance compared to other
Algorithms
Researchers at Universitas Islam Negeri have developed a Convolutional Neural Network (CNN) algorithm to classify vegetable types using a dataset of 31,000 images. The study aimed to explore the potential of the CNN algorithm for image classification and its application in the agricultural sector. The researchers achieved a highest
Algorithms
Researchers at Mepco Schlenk Engineering College have developed a new optimization technique that utilizes atomic orbitals to address issues in hybrid flow shop (HFS) scheduling. The proposed algorithm, known as hybrid atomic orbital search optimization algorithm (HAOSOA), is designed to minimize makespan and improve productivity and resource utilization in the
