Inlander 03/30/2023 by The Inlander - Issuu

BANGKOK THAILAND Crazy Colorful Art Map Custom Poster

Catch up on all the latest news from your classmates—new jobs, babies, marriages, and much more—in the September / October 2023 Class Notes!

September / October 2023 - Cornellians

THE TRADE MARKS JOURNAL - IPO Pakistan

Conflict and cooperation related to international water resources: historical perspectives

This is a complete Journal issue.

AES E-Library » Complete Journal: Volume 34 Issue 12

Debris flows have been always a serious problem in the mountain areas. Research on the assessment of debris flows susceptibility (DFS) is useful for preventing and mitigating debris flow risks. The main purpose of this work is to study the DFS in the Shigatse area of Tibet, by using machine learning methods, after assessing the main triggering factors of debris flows. Remote sensing and geographic information system (GIS) are used to obtain datasets of topography, vegetation, human activities and soil factors for local debris flows. The problem of debris flow susceptibility level imbalances in datasets is addressed by the Borderline-SMOTE method. Five machine learning methods, i.e., back propagation neural network (BPNN), one-dimensional convolutional neural network (1D-CNN), decision tree (DT), random forest (RF), and extreme gradient boosting (XGBoost) have been used to analyze and fit the relationship between debris flow triggering factors and occurrence, and to evaluate the weight of each triggering factor. The ANOVA and Tukey HSD tests have revealed that the XGBoost model exhibited the best mean accuracy (0.924) on ten-fold cross-validation and the performance was significantly better than that of the BPNN (0.871), DT (0.816), and RF (0.901). However, the performance of the XGBoost did not significantly differ from that of the 1D-CNN (0.914). This is also the first comparison experiment between XGBoost and 1D-CNN methods in the DFS study. The DFS maps have been verified by five evaluation methods: Precision, Recall, F1 score, Accuracy and area under the curve (AUC). Experiments show that the XGBoost has the best score, and the factors that have a greater impact on debris flows are aspect, annual average rainfall, profile curvature, and elevation.

Remote Sensing, Free Full-Text

LED light bulbs are the modern lighting standard, combining the best of energy-efficiency, product life span, and quality of light. LED lights are designed to replace older technology, and can find use in nearly any application. These lights use less energy than other types and run cool to the touch.

ASD Ultra Thin 3 inch LED Recessed Light, 5 CCT 2700K-5000K Selectable, 6W 30W Eqv, Dimmable Canless Round Ceiling Wafer Downlight with Junction Box

Find freelance TikTok work on Zeerk.

Courtesy by Pakistan Revenue Automation Ltd

Summary of the Asia Pacific periodic reports, 2003: final draft

Read Sale 1097 | Books & Manuscripts including Americana by Hindman Auctions on Issuu and browse thousands of other publications on our platform. S

Sale 1097 Books & Manuscripts including Americana by Hindman Auctions - Issuu

NAFSA: Association of International Educators is the world's largest nonprofit association dedicated to international education and exchange.

Internationalization

InkySeas

Contents - Franklin Templeton Investments - Advisor Perspectives