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
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 from Jilin International Studies University have made significant progress in developing an optimized virtual learning system for colleges and universities. Their study, published in Scientific Reports, focuses on leveraging neural network algorithms to improve the efficiency and interactive quality of students' online learning. The team's approach
Algorithms
Research from Northeastern University in China has made significant advancements in addressing a critical challenge in engineering, specifically in dynamic multiobjective optimization problems (DMOPs). These problems often involve environmental changes that are difficult to detect, posing a significant obstacle to the existing methods. The researchers propose a dual mutation-based dynamic
Algorithms
Researchers at Nanjing University of Aeronautics and Astronautics have developed an integrated control strategy for quadcopter drones that enhances their tracking performance while resisting external wind disturbances. The innovative approach combines an optimization algorithm with fuzzy control, utilizing second-order Linear Active Disturbance Rejection Control (LADRC) controllers and fuzzy controllers. This
Algorithms
Researchers at the Nanjing University of Aeronautics and Astronautics have developed a new algorithm for human-machine collaborative scheduling in the modern manufacturing industry. The algorithm, called the Hybrid Algorithm based on Improved Job Insertion (HAIJI), is designed to improve scheduling efficiency and stability in the presence of random job arrivals.
Algorithms
Current research in Mathematics has addressed the intricate relationship between transportation and power distribution networks in the face of electric vehicle proliferation and dynamic wireless charging technology. Researchers from Zhejiang University have proposed a multi-objective bi-level program to optimize the transportation-power coupled network (TPCN) capacity. This study tackles the complexities
Algorithms
A new machine learning algorithm has been developed to tackle the critical step of feature selection in high-dimensional data sets. According to research from Yarmouk University, the Binary Improved Artificial Rabbit Optimization (BIARO) algorithm offers a novel approach to solving the feature selection problem in a reasonable time. BIARO improves
Algorithms
Researchers from the Institute of Technology in Nanchang, People's Republic of China, have developed a novel multimodal multi-objective evolutionary algorithm based on a global orchestration mechanism. This algorithm addresses the core challenge of multimodal multi-objective optimization, which lies in identifying and discovering multiple equivalent sets of Pareto-optimal solutions.
Algorithms
A recent study published in the Journal of Engineering has made significant advancements in the field of Mathematics, specifically in the area of constrained multi-objective optimization problems (CMOPs). Researchers from Liaoning Technical University have proposed a dual-population based two-archive coevolution algorithm (DPTAC) to tackle the challenges of CMOPs. This innovative
Algorithms
A team of researchers from Delhi Technological University has proposed a novel hybrid Adaptive Particle Swarm Optimization-Back-propagation (APSOBP) algorithm for training feed-forward neural networks to identify nonlinear dynamical systems. The algorithm combines the strengths of Particle Swarm Optimization and back-propagation to improve the overall solution quality. Experimental results demonstrate that
Algorithms
A new study on heart disease has revealed the potential of Machine Learning (ML) and Deep Learning (DL) techniques in early diagnosis of Coronary Heart Disease (CHD), one of the primary causes of cardiovascular morbidity and mortality worldwide. The researchers from Erzurum Technical University applied various ML and DL algorithms
