Machine learning
Researchers from Technical University Dresden (TU Dresden) have developed a machine learning-based approach for accurate intraoperative liver tumor classification, potentially improving surgical outcomes and reducing recurrence risks. According to the study, the method uses fiber-based attenuated total reflection infrared (ATR IR) spectroscopy to analyze fresh liver tissue from surgical patients,
Genetic research
Researchers from Razi University in Kermanshah, Iran, have detailed a novel approach to geometric optimization of coiled flow inverters (CFIs) aimed at enhancing biodiesel production efficiency. By simulating nine distinct CFI geometries using advanced computational fluid dynamics (CFD) and genetic algorithms (GA), this research introduces innovative methods for optimizing fluid
Genetic research
Researchers at Beijing Jiaotong University have proposed a novel capacitor mismatch calibration algorithm based on genetic algorithms. The algorithm optimizes the effective number of bits (ENOB) of the analog-to-digital converter (ADC), transforming the capacitor mismatch problem into an optimization problem that can be solved using a genetic algorithm. The proposed
Genetic research
Researchers from Kyoto University have developed a new algorithm, known as RatGene, which enables the identification of gene deletion-addition strategies for growth-coupled production in constraint-based metabolic networks. This breakthrough has significant implications for the production of useful substances using microorganisms, making it a crucial step in the field of computational
Genetic research
A new report on research in engineering and sustainable development proposes a methodology for optimizing planar antenna arrays using genetic algorithms to enhance radar performance in direction of arrival estimation. The study, led by researchers from Mustansiriyah University's College of Engineering, aims to balance accuracy and computational efficiency
Genetic research
Researchers from the School of Automation at Cent South University in Changsha, People's Republic of China, have made significant advancements in optimizing the scheduling of steel cold rolling processes. By developing a modified genetic algorithm (GA) with heuristic initialization, mutation operators, and parallel computing, the team has demonstrated
Algorithms
The increasing spread of fake news on social media and news platforms has become a major concern in recent years. According to a new study published in Data & Knowledge Engineering, the production and dissemination of fake news have increased with the evolution of Industry 4.0 technologies. Researchers from
Algorithms
A team of researchers from Dalian Maritime University has made a significant breakthrough in marine science and engineering by proposing a combined optimization method for multi-period empty container repositioning and inventory control. This innovative approach, developed using adaptive particle swarm optimization (APSO) algorithm, addresses the limitations of existing research by
Algorithms
Researchers at Southeast University in Nanjing, China have developed a novel fusion fire temperature prognosis algorithm that combines wavelet neural networks and whale optimization algorithms. This algorithm has been shown to provide accurate and real-time temperature field predictions in large-space building fires, surpassing traditional wavelet neural networks. The research was
Algorithms
Research from the Gansu Agricultural University has made a significant advancement in unmanned aerial vehicle (UAV) technology, enabling the coordinated operation of multi-UAV systems. This innovation has vast applications in agriculture, logistics, environmental monitoring, and disaster relief. The study focuses on collaborative task allocation for multi-UAV systems, using ecological grassland
Algorithms
Research on wind power forecasting at Shenyang Agricultural University has led to the development of a hybrid model that significantly improves the efficiency and accuracy of short-term offshore wind power prediction. The study, funded by the National Natural Science Foundation of China, utilized a combination of Kepler optimization algorithm, variational
Algorithms
Diabetes is a chronic metabolic disorder characterized by high blood sugar levels, resulting from the body's inability to produce enough insulin or use it effectively. The disease comes in various forms, including Type 1 and Type 2 diabetes, gestational diabetes, and less common forms like Maturity-Onset Diabetes of
