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Application of the 2-archive multi-objective cuckoo search algorithm for structure optimization.
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December 2024
Department of Electrical and Electronics Engineering, Engineering Faculty, Düzce University, Düzce, Turkey.
The study suggests a better multi-objective optimization method called 2-Archive Multi-Objective Cuckoo Search (MOCS2arc). It is then used to improve eight classical truss structures and six ZDT test functions. The optimization aims to minimize both mass and compliance simultaneously.
View Article and Find Full Text PDFSerum and plasma as a good candidates of body fluids for detection lung cancer by FTIR liquid biopsy.
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December 2024
Department of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093, Lublin, Poland.
Using Fourier Transform Infrared spectroscopy (FTIR), it is possible to show chemical composition of materials and / or profile chemical changes occurring in tissues, cells, and body fluids during onset and progression of diseases. For diagnostic application, the use of blood would be the most appropriate in biospectroscopy studies since, (i) it is easily accessible and, (ii) enables frequent analyses of biochemical changes occurring in pathological states. At present, different studies have investigated potential of serum, plasma and sputum being alternative biofluids for lung cancer detection using FTIR.
View Article and Find Full Text PDFLegume content estimation from UAV image in grass-legume meadows: comparison methods based on the UAV coverage vs. field biomass.
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December 2024
Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan.
Legume content (LC) in grass-legume mixtures is important for assessing forage quality and optimizing fertilizer application in meadow fields. This study focuses on differences in LC measurements obtained from unmanned aerial vehicle (UAV) images and ground surveys based on dry matter assessments in seven meadow fields in Hokkaido, Japan. We propose a UAV-based LC (LC) estimation and mapping method using a land cover map from a simple linear iterative clustering (SLIC) algorithm and a random forest (RF) classifier.
View Article and Find Full Text PDFAssessment of resilient modulus of soil using hybrid extreme gradient boosting models.
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December 2024
Imperial College London, London, UK.
Accurate estimation of the soil resilient modulus (M) is essential for designing and monitoring pavements. However, experimental methods tend to be time-consuming and costly; regression equations and constitutive models usually have limited applications, while the predictive accuracy of some machine learning studies still has room for improvement. To forecast M efficiently and accurately, a new model named black-winged kite algorithm-extreme gradient boosting (BKA-XGBOOST) is proposed.
View Article and Find Full Text PDFMechanical evaluation and optimal mixing ratios in co-disposal of phosphate mining tailings and waste rock.
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December 2024
Department of Civil and Environmental Engineering, University of Brasília, Brasília, 70910-900, Brazil.
Given the complexity of the behavior of mining tailings dams built by the technique of hydraulic embankments and the recurring dam ruptures globally, especially in Brazil, ensuring enhanced safety through advanced disposal techniques becomes crucial. While the co-disposal method has been extensively explored for various mineral substances, a notable gap exists in the literature concerning its application specifically to tailings and waste rock generated from phosphate mining operations. This study aims to identify the optimal ratio for a mining tailings and waste rock mixture and evaluate its mechanical behavior in comparison to individual materials.
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