You are currently viewing a new version of our website. To view the old version click .

27 Results Found

  • Feature Paper
  • Article
  • Open Access
2 Citations
3,726 Views
14 Pages

The goal of this research is to maximize chord-based composition possibilities given a relatively small amount of information. A transformational approach, based in group theory, was chosen, focusing on chord intervals as the components of a modified...

  • Article
  • Open Access
11 Citations
4,483 Views
19 Pages

9 May 2016

This paper defines the multivariate Krawtchouk polynomials, orthogonal on the multinomial distribution, and summarizes their properties as a review. The multivariate Krawtchouk polynomials are symmetric functions of orthogonal sets of functions defin...

  • Article
  • Open Access
772 Views
17 Pages

8 July 2025

This paper deals with an important issue, which is the influence of failure caused by the quality of matrix post-curing on the strength of complex and difficult materials of the “new generation” such as fibre composites, particularly with...

  • Article
  • Open Access
13 Citations
6,198 Views
22 Pages

22 February 2023

Accurate forecasting of the power structure and sales volume of the automobile industry is crucial for corporate decision making and national planning. Based on the auto sales data from 2011 to 2022 compiled from the official website of the China Ass...

  • Article
  • Open Access
9 Citations
6,778 Views
15 Pages

15 April 2016

In recent work, Baez, Fong and the author introduced a framework for describing Markov processes equipped with a detailed balanced equilibrium as open systems of a certain type. These “open Markov processes” serve as the building blocks for more comp...

  • Article
  • Open Access
15 Citations
4,288 Views
21 Pages

Conditioning Machine Learning Models to Adjust Lowbush Blueberry Crop Management to the Local Agroecosystem

  • Serge-Étienne Parent,
  • Jean Lafond,
  • Maxime C. Paré,
  • Léon Etienne Parent and
  • Noura Ziadi

21 October 2020

Agroecosystem conditions limit the productivity of lowbush blueberry. Our objectives were to investigate the effects on berry yield of agroecosystem and crop management variables, then to develop a recommendation system to adjust nutrient and soil ma...

  • Article
  • Open Access
2 Citations
2,274 Views
25 Pages

9 April 2021

General methods to simulate probability density functions and first passage time densities are provided for time-inhomogeneous stochastic diffusion processes obtained via a composition of two Gauss–Markov processes conditioned on the same initial sta...

  • Article
  • Open Access
781 Views
20 Pages

Optimizing the Composition of Geopolymer Composites Incorporating Secondary Aluminium Industry By-Products Using Mathematical Modelling

  • Artem Sharko,
  • Van Su Le,
  • Oleksandr Sharko,
  • Dmitry Stepanchikov,
  • Pavel Srb,
  • Michal Petrů,
  • Petr Louda,
  • Petro Movchan and
  • Katarzyna Ewa Łoś

16 June 2025

Geopolymer composite materials are a viable alternative to conventional construction materials. The research problem of geopolymer composites revolves around the imperative to comprehensively address their synthesis, structural performance, and envir...

  • Article
  • Open Access
10 Citations
4,985 Views
16 Pages

23 April 2015

A financial time series agent-based model is reproduced and investigated by the statistical physics system, the finite-range interacting voter system. The voter system originally describes the collective behavior of voters who constantly update their...

  • Article
  • Open Access
6 Citations
2,725 Views
15 Pages

13 April 2021

In software reliability engineering, software-rejuvenation and -checkpointing techniques are widely used for enhancing system reliability and strengthening data protection. In this paper, a stochastic framework composed of a composite stochastic Petr...

  • Article
  • Open Access
8 Citations
2,829 Views
20 Pages

4 December 2020

Web service composition is the process of combining and reusing existing web services to create new business processes to satisfy specific user requirements. Reliability plays an important role in ensuring the quality of web service composition. Howe...

  • Article
  • Open Access
2,690 Views
23 Pages

Markov Chain Simulation of Coal Ash Melting Point and Stochastic Optimization of Operation Temperature for Entrained Flow Coal Gasification

  • Jinchun Zhang,
  • Shiheng Guan,
  • Jinxiu Hou,
  • Zichuan Zhang,
  • Zhaoqian Li,
  • Xiangzhong Meng and
  • Chao Wang

7 November 2019

In the entrained flow coal gasification process, the gas production is critically affected by the operating temperature (OT) and coal ash melting point (AMP), and the AMP is one of key factors for the determinations of OT. Considering the fact that c...

  • Article
  • Open Access
5 Citations
2,723 Views
19 Pages

7 December 2021

Power system health prognosis is a key process of condition-based maintenance. For the problem of large error in the residual lifetime prognosis of a power system, a novel residual lifetime prognosis model based on a high-order hidden semi-Markov mod...

  • Article
  • Open Access
1 Citations
2,070 Views
18 Pages

22 September 2022

In industrial processes, the composition of raw material and the production environment are complex and changeable, which makes the production process have multiple steady states. In this situation, it is difficult for the traditional single-mode mon...

  • Article
  • Open Access
49 Citations
7,178 Views
17 Pages

Emergency departments (ED) in hospitals usually suffer from crowdedness and long waiting times for treatment. The complexity of the patient’s path flows and their controls come from the patient’s diverse acute level, personalized treatmen...

  • Article
  • Open Access
1 Citations
1,010 Views
26 Pages

To enhance the penetration capability of hypersonic vehicles in the gliding phase, an intelligent maneuvering penetration strategy combining imitation learning and reinforcement learning is proposed. Firstly, a reinforcement learning penetration mode...

  • Article
  • Open Access
1 Citations
1,182 Views
26 Pages

18 June 2025

This paper addresses the challenge of ineffective coordination between terminal maneuvering and precision strike capabilities in hypersonic unmanned aerial vehicles (UAVs). To resolve this issue, an intelligent spiral maneuver trajectory generation m...

  • Proceeding Paper
  • Open Access
1,049 Views
9 Pages

Enhancing Heterogeneous Multi-Robot Teaming for Planetary Exploration

  • Amrita Suresh,
  • Melvin Laux,
  • Wiebke Brinkmann,
  • Leon C. Danter and
  • Frank Kirchner

Future space missions will include multi-robot systems, with greater autonomy and a large degree of heterogeneity for a wider range of task capabilities and redundancy. It is imperative that both software (learning models, parallelizing capabilities,...

  • Article
  • Open Access
383 Views
20 Pages

MalRefiner: Recovering Malware Semantics via Reinforcement Learning-Based Semantic NOP Removal

  • Jiankun Sun,
  • Fan Shi,
  • Min Zhang,
  • Miao Hu,
  • Pengfei Xue,
  • Cheng Huang and
  • Chengxi Xu

12 November 2025

Adversarial evasion against learning-based malware detectors has shifted from feature-space perturbations to semantic-preserving, problem-space manipulations. In this paradigm, attackers inject semantic NOPs—functionally NOP instructions that s...

  • Article
  • Open Access
3 Citations
7,608 Views
15 Pages

Safe Reinforcement Learning for Arm Manipulation with Constrained Markov Decision Process

  • Patrick Adjei,
  • Norman Tasfi,
  • Santiago Gomez-Rosero and
  • Miriam A. M. Capretz

18 April 2024

In the world of human–robot coexistence, ensuring safe interactions is crucial. Traditional logic-based methods often lack the intuition required for robots, particularly in complex environments where these methods fail to account for all possi...

  • Article
  • Open Access
13 Citations
5,530 Views
27 Pages

18 September 2024

The flexible job shop scheduling problem (FJSSP), which can significantly enhance production efficiency, is a mathematical optimization problem widely applied in modern manufacturing industries. However, due to its NP-hard nature, finding an optimal...

  • Article
  • Open Access
4 Citations
1,806 Views
17 Pages

Deep Reinforcement Learning-Based Distribution Network Planning Method Considering Renewable Energy

  • Liang Ma,
  • Chenyi Si,
  • Ke Wang,
  • Jinshan Luo,
  • Shigong Jiang and
  • Yi Song

4 March 2025

Distribution networks are an indispensable component of modern economic societies. Against the background of building new power systems, the rapid growth of distributed renewable energy sources, such as photovoltaic and wind power, has introduced man...

  • Article
  • Open Access
110 Citations
20,582 Views
23 Pages

20 December 2019

Penetration testing (also known as pentesting or PT) is a common practice for actively assessing the defenses of a computer network by planning and executing all possible attacks to discover and exploit existing vulnerabilities. Current penetration t...

  • Article
  • Open Access

Research on Improved PPO-Based Unmanned Surface Vehicle Trajectory Tracking Control Integrated with Pure Pursuit Guidance

  • Hongyu Li,
  • Runyu Yang,
  • Yu Zhang,
  • Yicheng Wen,
  • Qunhong Tian,
  • Weizhuang Ma,
  • Zongsheng Wang and
  • Shaobo Yang
J. Mar. Sci. Eng.2026, 14(1), 70;https://doi.org/10.3390/jmse14010070 
(registering DOI)

30 December 2025

To address the low trajectory tracking accuracy and limited robustness of conventional reinforcement learning algorithms under complex marine environments involving wind, wave, and current disturbances, this study proposes a proximal policy optimizat...

  • Article
  • Open Access
13 Citations
2,274 Views
15 Pages

Multi-Temporal Change of LULC and Its Impact on Carbon Storage in Jiangsu Coastal, China

  • Huanhuan Yuan,
  • Jianliang Zhang,
  • Zhi Wang,
  • Zhedong Qian,
  • Xiaoyue Wang,
  • Wanggu Xu and
  • Haonan Zhang

20 October 2023

Coastal is the coupling of socio-economic and fragile ecosystems area existing development and protection problems, with lots of reserve land resources (i.e., bottomland and tidal flats). Analyzing and predicting the carbon storage changes caused by...

  • Article
  • Open Access
1,345 Views
33 Pages

Research on Task Allocation in Four-Way Shuttle Storage and Retrieval Systems Based on Deep Reinforcement Learning

  • Zhongwei Zhang,
  • Jingrui Wang,
  • Jie Jin,
  • Zhaoyun Wu,
  • Lihui Wu,
  • Tao Peng and
  • Peng Li

25 July 2025

The four-way shuttle storage and retrieval system (FWSS/RS) is an advanced automated warehousing solution for achieving green and intelligent logistics, and task allocation is crucial to its logistics efficiency. However, current research on task all...

  • Article
  • Open Access
38 Citations
3,642 Views
22 Pages

Spatio-Temporal Pattern and Conflict Identification of Production–Living–Ecological Space in the Yellow River Basin

  • Furui Xi,
  • Runping Wang,
  • Jusong Shi,
  • Jinde Zhang,
  • Yang Yu,
  • Na Wang and
  • Zhiyi Wang

18 May 2022

Production–living–ecological space (PLES) is the main body of the optimization of the development and protection pattern of territorial space, and the spatial conflict in PLES reflects a struggle for ecological protection and socio-econom...