The inappropriatemodelling strategies can lead to unsatisfactory prediction results for landslide susceptibility assessment (LSA). The objectivesof this study are to reveal the impact of dataset design value (ratio of...
The inappropriatemodelling strategies can lead to unsatisfactory prediction results for landslide susceptibility assessment (LSA). The objectivesof this study are to reveal the impact of dataset design value (ratio of negative to positive samples) and partition (ratio of training to testing dataset) on the accuracy of LSA based on different machine learning models. The Yunyang County of the Three Gorges Reservoir area (China) was taken as the study area and 15 conditioning factors were determined. Ten modelling datasets design values (0.125， 0.25， 0.5， 1， 2， 5， 8， 10， 12 and 15) were determined for the ratio of non-landslide and landslide samples， and each modelling dataset was divided into five partitions ((50:50) %， (60:40) %， (70:30) %， (80:20) % and (90:10) %) for the ratio of training and testing datasets. Each scenario was then applied on four machine learning models (Classification and Regression tree (CART)， Bayes Network (BN)， Logistic Regression (LR) and Multilayer Perceptron (MLP)). The optimal parameters of the modelling dataset were obtained by comparing 200 sets of the AUC under different combined scenarios. The results showed that different sampling strategies significantly affect the accuracy of LSA. With increasing of the design values， the AUC of the CART and MLP models first increased and then decreased， peaking at 1 (AUC=0.85 and 0.83)， while the AUC of the BN and LR models remained stable， vary from 0.755 to 0.796. Comparatively， different partitions had less impact on the AUC of various models， AUC vary by around 0.04. The highest prediction accuracy was obtained when the design value was 1 and the partition was (80:20) %. The outcome can provide a guideline for researchers to choose an optimal modelling strategy for LSA in the future.
B-cell lymphoma (Bcl-2) proteins are a family of proteins that all have Bcl-2 homologous (BH) structural domains, such as Bcl-2, Bcl-xl, Bax, Bak and Bid. most Bcl-2 proteins have four BH structural domains (BH1, BH2,...
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Due to the complexity, challenge, and fast growth of stock markets, they encourage more efficient use of financial resources and the expansion of macroeconomics. Tesla and Apple stock prices fluctuate constantly due t...
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Data transmission inside industrial systems must be encrypted to protect sensitive information and guarantee the trustworthiness of mission-critical processes. Here, we offer three novel approaches to the special prob...
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This letter presents a biosensor utilizing a whispering gallery mode resonator characterized by azimuthal symmetry and crescent-shaped coatings of silver. The study investigates the impact of the coupling gap on the e...
This letter presents a biosensor utilizing a whispering gallery mode resonator characterized by azimuthal symmetry and crescent-shaped coatings of silver. The study investigates the impact of the coupling gap on the extinction ratio and Q-factor of the setup. The resonator is coated with silver in crescent shapes， ranging from 40 to 65 nm thick. Coupling is achieved with a silica waveguide， simulating the tapered fiber coupling method. Notably， the resonator exhibits a maximum sensitivity of 220 nm/RIU when coated with 55 nm silver in conjunction with a four nm-thick layer of thiol-tethered DNA. This biosensor holds promise for biomolecule detection applications.
Optimal energy consumption in Wireless Sensor Networks (WSNs) is important. Previous research has shown that by organizing network nodes into a number of clusters, one can achieve greater energy efficiency leading to ...
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This study investigates sentiment analysis methodologies using two distinct datasets: the IMDb Movie Reviews corpus and a novel Financial Sentiment dataset. Employing a comprehensive approach, the research integrates ...
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In this paper, a novel framework for real-time localization through pre-built map update by 3D LiDAR mounted on a robot is proposed. Autonomous mobile robots usually use high-precision 3D maps (i.e., HD maps) built in...
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In this paper, an efficient design process for a single-shunt diode RF rectifier is proposed. The technique focuses on tuning microstrip line sections in electromagnetic and circuit co-simulation. The design study can...
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Although fibers are used only infrequently as an additive in concrete in the construction industry,fiberenhanced concrete is known to provide a wide range of advantages over conventional *** main objective of this stu...
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Although fibers are used only infrequently as an additive in concrete in the construction industry,fiberenhanced concrete is known to provide a wide range of advantages over conventional *** main objective of this study was to investigate the influences of fiber type and content on the mechanical properties and durability of highperformance fiber-reinforced concrete(HPFRC)designed using a novel densified mixture design algorithm with fly ash and rice husk *** types of fiber,including polypropylene(PP)fiber,steel fiber(SF),and hybrid fiber(HF),were *** on the results,the inclusion of fibers decreased HPFRC flowability,regardless of fiber *** the compressive strength of HPFRC with 1.6%PP fiber content was 11.2%below that of the reference HPFRC specimen at 91 d of curing age,the 91-d compressive strengths of both SF and HF-enhanced HPFRC specimens were significantly better than that of the reference HPFRC ***,the HPFRC specimens incorporating SF and HF both exhibited better splitting tensile and flexural strengths as well as less drying shrinkage than the HPFRC specimens incorporating PP ***,the fiber-enhanced specimens,especially those with added SF,registered less surface electrical resistivity and greater vulnerability to chloride ion penetration than the reference HPFRC specimen.
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