Algorithms

Machine learning

Estimation of Soil Organic Carbon Stocks Utilizing Machine Learning Algorithms and Multi-source Geospatial Data in Coastal Wetlands of Tianjin and Hebei, China

Researchers in Tangshan, People's Republic of China, have conducted a study on the estimation of soil organic carbon stocks in coastal wetlands using machine learning algorithms and multi-source geospatial data. The study, which utilized 160 soil samples and 35 remote sensing features, found that coastal wetlands are crucial

Genetic research

Optimisation of Reverse Osmosis Desalination Process

Researchers at Mutah University have explored the use of the Species Conservation Genetic Algorithm (SCGA) to optimise the operational performance of a high-salinity brackish water desalination process using Reverse Osmosis (RO). The study aimed to identify the optimal inlet conditions for the RO process to achieve the lowest specific energy

Genetic research

Novel Metaheuristic Algorithm for Gene Regulatory Networks Inference Presented

Researchers from Abbes Laghrour University have proposed a novel metaheuristic algorithm, DCSA-QAR, for inferring gene regulatory networks (GRNs) using discrete crow search algorithm and quantitative association rules. The proposed algorithm was compared with five other metaheuristic algorithms on six datasets and demonstrated superior performance in terms of precision, specificity, and

Genetic research

Scheduling Optimization for Laminated Door Machining Shop Using Improved Genetic Algorithm

Researchers from Nanjing Forestry University have developed an improved genetic algorithm to optimize scheduling in the laminated door machining shop industry. The study finds that the proposed algorithm, known as IGGA, outperforms existing metaheuristics in both best and average relative deviation indices. The research also demonstrates the effectiveness of the

Machine learning

Marine Engineering Research Reveals Insights into Fisheries' Economic Benefits

Researchers at the Ocean University of China have conducted a comprehensive study on the spatial coagglomeration of marine fisheries and its impact on economic benefits in coastal cities of China. The study, which employed machine learning algorithms and the Fairness, Similarity, and Goodness (FsQCA) method, aimed to provide decision-making support

Machine learning

Researchers Develop Self-Learning Whale Optimization Algorithm for Job Shop Scheduling Problem

Researchers at Polytechnic University in Barcelona, Spain, have made significant advancements in the field of mathematics by developing a self-learning whale optimization algorithm for solving the dual-resource flexible job shop scheduling (DRFJSS) problem. This innovative approach uses reinforcement learning to improve the performance of meta-heuristics, making it more efficient for

Machine learning

Sustainable Development through Land Use Classification: A Comparative Analysis of Machine Learning Algorithms

A new study conducted by researchers at United Arab Emirates University sheds light on the application of machine learning algorithms for land use and land cover (LULC) mapping in Al Ain city, UAE. The study utilizes a range of machine learning classifiers, including Gradient Tree Boosting (GTB), Random Forest (RF)

Artificial intelligence

Advances in Machine Learning for Vehicle Efficiency

Researchers from Polytechnic University in Quito, Ecuador, have developed a machine learning algorithm that can accurately classify gear shifts in M1 category vehicles, improving fuel efficiency and overall vehicle performance. The algorithm, based on data acquired through the onboard diagnostic system (OBD II) and GPS, analyzes identification parameters such as

Machine learning

Cardiosense Receives FDA Clearance for Revolutionary Wearable Cardiac Sensor

Cardiosense has achieved a significant milestone with the FDA clearance of its CardioTag device, a noninvasive wearable sensor designed to monitor cardiac function. This innovative technology captures high-fidelity electrocardiogram (ECG), photoplethysmogram (PPG), and seismocardiogram (SCG) signals, providing a comprehensive understanding of cardiac activity. The device has been cleared for the

Artificial intelligence

AI-Powered 6G Networks Revolutionize Wireless Connectivity

Researchers at PES University in Bengaluru, India have made significant strides in the development of 6G networks, which promise to provide ubiquitous connectivity, reduced delay, and high-speed gigabit connections. According to the study, introducing AI to the planning process of 5G beyond networks is crucial for efficient deployment and minimization

Artificial intelligence

Artificial Intelligence in Combustion Science: A Comprehensive Review of Machine Learning and Genetic Algorithms

Artificial intelligence (AI) has revolutionized the field of combustion science, transforming the way researchers approach combustion efficiency, emissions, and energy production. A recent review article published in Applied Sciences presents a detailed analysis of the recent advancements in combustion science and engineering, focusing on the application of machine learning (ML)

Artificial intelligence

Artificial Intelligence Algorithm Demonstrates Comparable Prostate Cancer Detection Rates to PI-RADS

A new study published in Academic Radiology has found that an artificial intelligence (AI) algorithm demonstrates comparable prostate cancer detection rates to the Prostate Imaging Reporting and Data Systems (PI-RADS). The research, which was conducted at the University of Arkansas for Medical Sciences, aimed to assess the AI algorithm'