Algorithm analysis

Predicting the macroscopic permeability of porous media is critical in various scientific and engineering applications. This study proposes a novel model that combines Random Forest (RF) and rime-ice (RIME) optimization algorithm, denoted RIME-RF-RIME, to predict permeability based on six key features covering fluid phase dimensions, geometric characteristics, surrounding phase permeability, and media porosity.

14p viengfa 28-10-2024 1 1   Download

The results of using machine learning via genetic programming (GP) to automatically generate novel effective length factor formula in accordance with AISC standard are presented in this article. The data points obtained from applying the numerical method equation solving for the transcendental equation for the effective length of the braced frame were fed into the machine learning algorithm.

5p vibecca 01-10-2024 3 1   Download

In this paper, we research and propose a network attack detection framework using a 2-stage classification algorithm with an Autoencoder model, integrating online stream processing technology based on Apache Kafka and Spark technology.

17p viyoko 01-10-2024 3 1   Download

In this paper, we conduct a new analysis on the complexity of the same. We also remove the restriction of using a primitive polynomial to generate the matrix by using an arbitrary monic polynomial over a finite field whose independent term is distinct from zero.

15p viyoko 01-10-2024 5 1   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

In this article, a Python-programmed advanced design paradigm is firstly introduced to topology and size optimization of the X-bracing system of nonlinear inelastic space steel frames. For that purpose, an advanced analysis method considering both geometric and material nonlinearities is utilized as an effective finite element analysis (FEA) solver.

13p vifaye 20-09-2024 2 1   Download

This study proposes a novel and efficient surrogate model for performing truss analysis based on graph theory and deep learning algorithms, which is applicable for various truss topologies with different load scenarios without requiring retraining as other Deep Learning (DL)-based counterparts.

11p vifaye 20-09-2024 4 1   Download

Bài viết "Ứng dụng trí tuệ nhân tạo trên thị trường chứng khoán quốc tế: Thực trạng và bài học cho Việt Nam" nghiên cứu thực trạng ứng dụng trí tuệ nhân tạo (AI) trong lĩnh vực chứng khoán trên thế giới. Các nghiên cứu gần đây cho thấy AI ngày càng có tác động lớn đến hoạt động của con người trên tất cả các khía cạnh.

9p dathienlang1012 03-05-2024 11 5   Download

In this research paper, an adaptive sliding controller designed to enhance seismic response mitigation in structural systems with prescribed performance is presented. Through comprehensive theoretical analysis and simulation studies, the efficiency of the performance function has been simulated for a one-degree-of-freedom structure.

5p phuong798 26-12-2023 4 3   Download

In this paper, we improve the DFA algorithm to MDFA (MultiDetrended fluctuation analysis) to evaluate the possibility of arrhythmias RR intervals detail for each period of 20 minutes in entire RR intervals. Evaluation results are shown graphically intuitive with three levels of basic arrhythmia arrhythmia is high, medium and low arrhythmia.

4p vilexus 05-10-2022 7 2   Download

Lecture Data Structures: Lesson 44 provide students with knowledge about sorting; sorting integers; elementary sorting algorithms: selection sort, insertion sort, bubble sort; selection sort; swap action (selectionsorting); selection sort analysis; lighter bubbles rise to the top;...

26p hanthienngao 15-04-2022 5 1   Download

The investigation of magnetic field strength variations over subterranean layers may reveal their locations on Earth’s surface and provide physical and geometrical characteristics. Magnetic studies were carried out around Gölcük caldera lake using proton magnetometers to identify subsurface volcanic structures. The acquired data were inverted using four different edge detection algorithms such as analytic signal, tilt angle, theta map, horizontal gradient. Afterwards, the results were used to determine the locations of the anomalous structures.

17p tanmocphong 29-01-2022 14 1   Download

There is no unified treatment standard for patients with extranodal NK/T-cell lymphoma (ENKTL). Cancer neoantigens are the result of somatic mutations and cancer-specific. Increased number of somatic mutations are associated with anti-cancer effects.

12p vielonmusk 21-01-2022 11 0   Download

The dissertation has four chapters: Chapter 1 - Background Materials; Chapter 2 - Analysis of an Algorithm in Indefinite Quadratic Programming; Chapter 3 - Qualitative Properties of the Minimum Sum-of-Squares Clustering Problem; Chapter 4 - Some Incremental Algorithms for the Clustering Problem.

142p armyofthedead 23-06-2021 32 2   Download

Objectives: The main objective of the dissertation is to research and develop fuzzy clustering techniques on remote sensing image data in order to improve accuracy and improve clustering quality of clustering algorithms.

162p armyofthedead 23-06-2021 23 3   Download

In this research, the isogeometric finite element method is used to discretise the displacement domain of strutures in the first step. The primal-dual algorithm based upon the von Mises yield criterion and a Newton-like iteration is used in the second step to solve optimization problem.

157p capheviahe28 01-03-2021 7 2   Download

In this study, the method based on the proposed deep-learning method called ODC-Cloud, which was built on convolutional blocks and integrating with the Open Data Cube (ODC) platform. The results showed that our proposed model achieved an overall 90% accuracy in detecting cloud in Landsat 8 OLI imagery and successfully integrated with the ODC to perform multi-scale and multi-temporal analysis.

9p larachdumlanat129 14-01-2021 19 3   Download

In this lecture we learned about: Checking an algorithm analysis, limitations of big-oh analysis, matlab environment, command window, command history, workspace window, current folder window, document window.

28p nanhankhuoctai10 23-07-2020 15 2   Download

This chapter presents the following content: Introduction to algorithm analysis, different functions, function’s growth rate, three problems related to algorithm running time, maximum contiguous subsequence sum problem.

21p nanhankhuoctai10 23-07-2020 9 1   Download

In this thesis, motivated by the advantages of the generalized minimumnoise subspace (GMNS) method, recently proposed for array processing, we proposedtwo algorithms for principal subspace analysis (PSA) and two algorithms for tensor de-composition using parallel factor analysis (PARAFAC) and higher-order singular valuedecomposition (HOSVD).

68p tamynhan0 04-07-2020 8 3   Download