Titlebook: Applied Computer Sciences in Engineering; 11th Workshop on Eng Juan Carlos Figueroa-García,German Hernández,Elvis Conference proceedings 20

lacrimal-gland

LEVER

M. W. Brightman,S. Ishihara,L. Changlts. In this paper, the CRISP-DM model was applied, including data preprocessing, Fourier analysis and Hamming window for current and vibration signals. Machine learning models such as Random Forest and SVM were trained and evaluated, reaching an average accuracy of 90% when combining current and vibration data.

不透气

hereditary

Dynamic Thermal Compensation in CNC Machining: Modeling a Linear Kalman Filter for Enhanced Positione Y-axis exhibited R. of 0.913 and . of 0.906, with an RMSE of 9.32 μm, indicating a good fit of the model to the data and acceptable precision of the estimates. For the X-axis under similar thermal conditions, higher values of R. and R. were obtained with a lower RMSE confirming the high accuracy of the estimates and the method.

NAG

Experimental Results of a Cascade Control for Autonomous Attitude Tracking in a UAV with Actuator Cothe control algorithms. The results demonstrate the efficacy of the cascade control with an auxiliary loop in achieving desired angular positions and velocities, highlighting significant performance improvements compared to traditional control methods.

Ornament

guzzle

Location-Allocation of Relief Service Facilities: A Case Study for Bogotá - Colombiaomprehensive mathematical model, which is designed to optimize disaster response operations. The proposed model integrates various components, including the demand for different types of relief services, facilities distributed by zones, as well as the assessment of resource requirements, and optimiz

MOTIF

Harmony Search Based Metaheuristic for the Index Tracking Problemd optimization problem, it is well-suited for metaheuristic approaches. Drawing inspiration from the Harmony Search algorithm, the Harmony Search algorithm for Portfolio Optimization is presented. This algorithm addresses the problem’s complex constraints by utilizing two search operators that effec

narcissism

NIP

Optimal Selection of Distributed Generation Projects in Power Distribution Systems: A Genetic Algorisustainability. However, the optimal selection of DG projects amid various technical, economic, and operational constraints remains challenging. Previous research has focused on optimal placement and sizing of DG, but the realities faced by distribution system operators (DSOs) often involve evaluati