Algorithms
Researchers from GE HealthCare Technology & Innovation Center have developed a new framework for simulating metal artifacts in computed tomography (CT) imaging, which could improve the accuracy of metal artifact reduction (MAR) algorithms. The new framework, called a hybrid training database and evaluation benchmark, is designed to provide a comprehensive
Algorithms
Research investigators in the Department of Computer Science at Namal University in Pakistan have proposed a novel approach to generate synthetic data using Genetic Algorithms (GAs) to address the challenge of class imbalance in machine learning models. The team aimed to outperform traditional methods such as SMOTE, ADASYN, GAN, 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
Researchers from King Abdulaziz University have explored the development of secure data transmission in transportation units, leveraging artificial intelligence and internet of things (IoT) technologies. Their findings highlight the potential of improved security and reduced congestion rates in vehicular systems. The study proposes a method for analyzing the security of
Algorithms
Research from Hanyang University in Seoul, South Korea, has revealed significant advancements in the field of nanofluids. The study, supported by the Ministry of Science & ICT (MSIT), Republic of Korea, investigated the thermal performance of a porous fin with a ternary hybrid nanofluid. The researchers found that the presence
Algorithms
The American Heart Association has launched an AI Assessment Lab in partnership with Dandelion Health to validate predictive algorithms for cardiovascular conditions and related diseases. The lab aims to provide a framework for patients to understand what's happening with algorithmic decision-making and to ensure safe and effective implementation
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
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
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 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
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
