Estimate network

This paper aims to address this limitation by introducing techniques for estimating trustworthiness from a community context. These techniques rely on similarity measures or operators within the framework of path algebra.

8p viengfa 28-10-2024 2 2   Download

In this study, we propose a machine learning technique for estimating the shear strength of CRC beams across a range of service periods. To do this, we gathered 158 CRC beam shear tests and used Artificial Neural Network (ANN) to create a forecast model for the considered output.

12p viengfa 28-10-2024 3 2   Download

The basic characteristics of sensor were investigated, and these experimental data were used for a machine learning. The results of the model validation proved to be a reliable way between the experiment and prediction values.

10p viengfa 28-10-2024 2 2   Download

This paper presents a novel for Doppler frequency compensation in highspeed railway communication based on the results of estimating the train's velocity using machine learning algorithms. By leveraging advanced algorithm such as neural networks, our method dynamically predicts and compensates for Doppler shifts in real-time.

15p vibecca 01-10-2024 2 1   Download

This study seeks to develop a prediction model to estimate the bond strength of FRP bars in concrete, utilizing an extended dataset from 1010 pull-out tests. Initially, the study evaluates the applicability of several bond strength formulas from existing codes.

16p vibecca 01-10-2024 3 0   Download

In the present study, Deep Learning (DL) algorithm or Deep Neural Networks (DNN), one of the most powerful techniques in Machine Learning (ML), is employed for estimation of ultimate load factor of nonlinear inelastic steel truss.

11p vifilm 24-09-2024 2 1   Download

The most rigorous effective medium approximations for elastic moduli are elaborated for matrix composites made from an isotropic continuous matrix and isotropic inclusions associated with simple shapes such as circles or spheres. In this paper, we focus specially on the effective elastic moduli of the heterogeneous composites with arbitrary inclusion shapes.

13p vifilm 24-09-2024 2 1   Download

In this paper, therefore, given experimental data STCC columns, the authors used four useful AI models to estimate the axial strength in the STCC columns. Particularly, artificial neural networks (ANNs), support vector regression (SVR), linear regression (LR), and M5P were applied in this study.

14p vifilm 24-09-2024 2 1   Download

This study extracts images from Taekwondo videos and generates skeleton data from frames using the Fast Forward Moving Picture Experts Group (FFMPEG) technique using MoveNet. After that, we use deep learning architectures such as Long Short-Term Memory Networks, Convolutional Long Short-Term Memory, and Longterm Recurrent Convolutional Networks to perform the poses classification tasks in Taegeuk in Jang lessons. This work presents two approaches. The first approach uses a sequence skeleton extracted from the image by Movenet.

26p dianmotminh02 03-05-2024 3 1   Download

This thesis develops a flexible customer behavior analysis system, including essential head pose estimation or F-formation modules. This system will be evaluated in an actual retail store. Further, after studying the system, realizing the mentioned problems of the head pose problem, we also propose a process to collect the head pose dataset and multi-task deep neural network model, fusing face detection and head pose estimation to yield face position and head pose at the same time.

72p khanhchi0912 12-04-2024 3 2   Download

The research subject is the process of economic and mathematical modelling of time series characterizing the bitcoin exchange rate volatility, based on the use of artificial neural networks. The purpose of the work is to search and scientifically substantiate the tools and mechanisms for developing prognostic estimates of the crypto currency market development. The paper considers the task of financial time series trend forecasting using the LSTM neural network for supply chain strategies.

5p longtimenosee09 08-04-2024 9 1   Download

This thesis presents the following contributions. First, it is identified that disturbance estimation based networks utilised for compensation possess the same polynomial architectures as signal conditioning anti-windup and their equivalents. Next, an appropriate strategy is identified to integrate disturbance compensation for finite-controlset optimisation schemes via the constraint set rather than the cost function to maintain a simple and elegant problem structure.

208p runordie3 06-07-2022 10 2   Download

A database consisting of 23 tripeptides was used to study the quantitative relationships between electric surface potential descriptors and antioxidant activity QESARs. The important structural descriptors SaaNH_acnt, SsOH_acnt, SaaN, SaaN_acnt, SsssCH, SaaaC, SsNH3p, SdO, SdO_acnt were selected for constructing the linear models QESARs with genetic algorithm. The best 4-variable linear model QESARlinear including the structural descriptors SaaN, SdO, SdO_acnt and SsOH_acnt was constructed. The quality QESARlinear was exhibited in statistical values R2 fitness of 97.

7p nguathienthan1 20-11-2019 11 2   Download

The thesis aims to propose some control techniques for mobile target Robot-camera. After that, I studied some of the torque control techniques of joints for the Robot-camera system sticking to the mobile target and the Robot-camera system, paying attention to the motivating motor sticking to the mobile target. Finally, the author also proposed some control algorithms for Robotic-camera arm system with irregular model, external noise and preventing system degradation, using nonlinear sliding controller (TSMC) in combination with Artificial neural networks to estimate uncertain numbers.

31p xacxuoc4321 09-07-2019 28 2   Download

The greatest advantage of this method is its accuracy and rapidness. The EEW system issues several alarm messages during the course of one earthquake, improving the accuracy of the warning as the amount of available data increases. The EEWis transmitted to many kinds of devices and used for personal safety and automatic control. It is very important to observe strong motion in real-time using a dense network in order to improve the EEWsystem.

8p meriday 20-04-2019 18 2   Download

Bài báo khảo sát và đề xuất hệ thống điều khiển động cơ xoay chiều ba pha phối hợp phương pháp ước lượng tốc độ tự thích nghi và thuật toán điều khiển sử dụng mạng nơron để khắc phục tính bất định của nhiều tham số trong mô hình động lực của động cơ như điện trở của rotor, cũng như hệ số ma sát và tải thay đổi khi hệ thống hoạt động. Một số kết quả mô phỏng trên Matlab-Simulink được thực hiện để minh chứng cho phương pháp ước lượng và điều khiển tốc độ đề xuất.

12p dieutringuyen 07-06-2017 88 3   Download

The objectives of the thesis: Propose algorithms for controlling speed and flux of AC motors; propose rotor speed and flux estimation algorithms for speed sensorless controlller of AC motors.

27p change01 05-05-2016 42 6   Download

Large-pore three-dimensional (3D) mesoporous silicas are among the most interesting mesoporous materials discovered in recent years, and they have attracted much attention for potential applications requiring easily accessible, uniform and large pores. Examples of these are SBA-15 (p6 mm) and SBA-16 (Im3m), which have cylindrical- and cage-type structures, respectively.

5p uocvong01 24-09-2015 54 4   Download

A back -propagation artificial neural net has been trained to estimate the activity values of a set of 18 N-alkyl-N-acyl- -aminoamide derivatives from the results of molecular mechanics and RHF/PM3/SCF MO semi-empirical calculations. The input descriptors include molecular properties such as the partition coefficient P, 3d structure dependent parameters, charge dependent parameters, and topological descriptors.

7p uocvongxua10 18-09-2015 33 4   Download

Metabolic fluxes provide a detailed metric of the cellular metabolic phenotype. Fluxes are estimated indirectly from available measurements and various methods have been developed for this purpose. Of particular interest are meth-ods making use of stable isotopic tracers as they enable the estimation of fluxes at a high resolution. In this paper, we present data validating the use of mass spectrometry (MS) for the quantification of complex metabolic flux networks.

18p tumor12 20-04-2013 44 2   Download