An investigation on energy-saving scheduling algorithm of wireless monitoring sensors in oil and gas pipeline networks by Zhifeng Ma, Zhanjun Hao, Zhenya Zhao

“…However, since sensor nodes typically rely on limited battery power, extending the network’s lifecycle and improving energy utilization efficiency have become focal points of research. Therefore, this paper proposes an energy-saving scheduling algorithm based on transformer networks, aimed at optimizing energy consumption and data transmission efficiency of wireless monitoring sensors in oil and gas pipelines. …”
Get full text

Quantum Approximate Optimization Algorithm for the Max-Cut Problem: JavaScript Programming Language Implementation by Dmytro Sapozhnyk

“…In this paper, we present the implementation of the Quantum Approximate Optimization Algorithm (QAOA) for the Max-Cut problem using the JavaScript programming language. …”
Get full text

Facial Recognition System Based on Genetic Algorithm Improved ROI-KNN Convolutional Neural Network by Xiao Wang, Yan Li

“…Therefore, to make the recognition accuracy of the facial recognition system higher and to make the facial recognition system play a greater role in the social and economic fields, this paper used the adaptive quantum genetic algorithm, the improved marker line graph genetic algorithm, and the feature weight value genetic algorithm to study the facial recognition system of the ROI-KNN convolutional neural network. …”
Get full text

Sedimentary Environment Analysis by Grain-Size Data Based on Mini Batch K-Means Algorithm by Qiao Su, Yanhui Zhu, Yalin Jia, Ping Li, Fang Hu, Xingyong Xu

“…During the last several decades, researchers have made significant advances in sedimentary environment interpretation of grain-size analysis, but these improvements have often depended on the subjective experience of the researcher and were usually combined with other methods. …”
Get full text

Machine learning algorithms to predict stroke in China based on causal inference of time series analysis by Qizhi Zheng, Ayang Zhao, Xinzhu Wang, Yanhong Bai, Zikun Wang, Xiuying Wang, Xianzhang Zeng, Guanghui Dong

“…Participants This study employed a combination of Vector Autoregression (VAR) model and Graph Neural Networks (GNN) to systematically construct dynamic causal inference. …”
Get full text

Epidemic Modeling and Flattening the Infection Curve in Social Networks by Mohammadreza Doostmohammadian, Soraya Doustmohamadian, Najmeh Doostmohammadian, Azam Doustmohammadian, Houman Zarrabi, Hamid R. Rabiee

Get full text

Knowledge Integration and Analysis of Technological Innovation in Prefabricated Construction by Yudan Dou, Xiaoxue Fu, Tianxin Li

“…The extracted entities and relationships obtained from the analyses are then stored in a Neo4j graph database for the construction and interactive visualization of a knowledge graph for PC technological innovation. …”
Get full text

Urban Microcirculation Traffic Network Planning Method Based on Fast Search Random Tree Algorithm by Ning YU

“…To address this, a method based on fast search random tree algorithm is proposed. An urban microcirculation traffic network is constructed using directed graphs, and road network interference intensity and capacity are calculated. …”
Get full text

Dynamical systems and complex networks: a Koopman operator perspective by Stefan Klus, Nataša Djurdjevac Conrad

“…The Koopman operator has entered and transformed many research areas over the last years. Although the underlying concept—representing highly nonlinear dynamical systems by infinite-dimensional linear operators—has been known for a long time, the availability of large data sets and efficient machine learning algorithms for estimating the Koopman operator from data make this framework extremely powerful and popular. …”
Get full text

Research on incremental deployment mechanism of network modality for polymorphic network environment by Jiong LI, Yuxiang HU, Pengshuai CUI, Le TIAN, Yongji DONG

Get full text

Research on incremental deployment mechanism of network modality for polymorphic network environment by Jiong LI, Yuxiang HU, Pengshuai CUI, Le TIAN, Yongji DONG

Get full text

Research on the interference control and resource allocation in D2D communication by Kangkang FAN, Ying DONG, Zhihong Qian, Xue WANG

Get full text

A Talent Training Model for Electrical Courses considering Diverse Constraint Models and Knowledge Recognition Algorithms by Fanping Min

“…In addition, this paper uses the knowledge base and alias dictionary to build a knowledge graph and constructs a teaching model for electrical courses considering diverse constraint models and knowledge recognition algorithms. …”
Get full text

A Novel Skeletonization Algorithm for Topologically Complex Structures: Comparative Analysis and Application to Renal Arterial Trees by Katarzyna Heryan, Stefan-Daniel Caliman

“…Accurate skeletonization of complex vascular structures is essential for clinical applications and anatomical research. This paper presents a domain-adapted skeletonization algorithm specifically developed for the intrarenal arterial tree, with a focus on high-resolution <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-CT scans of human renal corrosion cast specimens. …”
Get full text

On the Application of Noiseless Steganography and Elliptic Curves Cryptography Digital Signature Algorithm Methods in Securing Text Messages by Juhari Juhari, Mohamad Febry Andrean

“…Elliptic curve cryptography can be used for multiple protocol purposes, digital signatures, and encryption schemes.The purpose of this study is to determine the process of hiding encrypted messages using the Noiseless Steganography method  as well as the generation of private keys and public keys and the process of verifying the validity of the Elliptic Curves Cryptography Digital Signature Algorithm (ECDSA).  The result of this thesis is that a line graph is obtained that store or hides a message using the steganography method and a message authenticity from the process of key generation and verification of validity using the ECDSA method. …”
Get full text

Application of sliding mode variable structure control algorithm in PMSM vector control system in complex environment. by Haoran Cui

“…Therefore, the contribution of the research is that the ASMC algorithm can suppress the chattering problem of the system and improve the approaching speed, thus improving the speed regulation quality of the system. …”
Get full text

Research on Dynamic Characteristics of Stock Market Based on Big Data Analysis by Ping Yang, Xiaohong Hou

“…This paper analyzes the change of stock market efficiency from the perspective of dynamic evolution, and the recursive graph method is used to obtain the dynamic characteristics of stock price time series. …”
Get full text

A New Fast Sparse Unmixing Algorithm Based on Adaptive Spectral Library Pruning and Nesterov Optimization by Kewen Qu, Fangzhou Luo, Huiyang Wang, Wenxing Bao

“…In recent years, hyperspectral sparse unmixing (HSU) has garnered extensive research and attention due to its unique characteristic of not requiring the estimation of endmembers and their number. …”
Get full text

NET GRAF CALCULATION METHOD FOR JOB COMPLETION CONSIDERING OF RESOURSES AVAILABALE by G. V. Golovchenko, M. I. Rebezova

“…For the solution of the problem the well-known algorithm for constructing the tree of the shortest paths of the network graph is used. …”
Get full text

A fuzzy irregular cellular automata-based method for the vertex colouring problem by Mostafa Kashani, Saeid Gorgin, Seyed Vahab Shojaedini

Get full text