A Survey of Approximation Algorithms for the Power Cover Problem by Jiaming Zhang, Zhikang Zhang, Weidong Li

“…It also provides a comprehensive overview of the power cover problem and its variants under both specified and unspecified sensor settings, summarizes existing results and approximation algorithms, and outlines potential directions for future research.…”
Get full text

Stability Analysis of Learning Algorithms for Ontology Similarity Computation by Wei Gao, Tianwei Xu

“…For ranking algorithms, which are in a well-stable state, we study generalization bounds via some concepts of algorithmic stability. …”
Get full text

Reconstruction of 12-lead ECG: a review of algorithms by Ekenedirichukwu N. Obianom, G. André Ng, G. André Ng, G. André Ng, G. André Ng, Xin Li, Xin Li, Xin Li

“…Both linear and nonlinear algorithms can achieve high correlations, and minimal root means square errors. …”
Get full text

Appling A Hybrid Encryption Algorithm in Cloud Computing‎ by Esraa Alobaydi, Muna Jawhar

“…The obtained results showed that the hybrid algorithm gives the ability to combine different advantages of the encryption algorithms and achieve the ideal balance between strong protection and efficient performance in the field of in-cloud data protection with minimal time consumption.…”
Get full text

Illustration Design Model with Clustering Optimization Genetic Algorithm by Jing Liu, Qixing Chen, Xiaoying Tian

“…This algorithm focuses on the problem of group diversity and uses k-means cluster analysis operation to solve the problem of group diversity. …”
Get full text

Understanding the Impact of Algorithmic Discrimination on Unethical Consumer Behavior by Binbin Sun, Shan Pei, Qingjin Wang, Xuelei Meng

“…Existing research has mainly focused on anthropomorphic characteristics of AI and unethical consumer behavior (UCB). …”
Get full text

Phishing detection algorithm based on attention and feature fusion by ZHANG Sirui, YAN Zhiwei, DONG Kejun, YUCHI Xuebiao

“…Phishing has been the primary means utilized by attackers to conduct cyber fraud. …”
Get full text

A Bat Algorithm with Mutation for UCAV Path Planning by Gaige Wang, Lihong Guo, Hong Duan, Luo Liu, Heqi Wang

“…Original bat algorithm (BA) is used to solve the UCAV path planning problem. …”
Get full text

Functional Neurological Symptom Disorder: A Diagnostic Algorithm by Eugénie Girouard, Isabelle Savoie, Ludivine Chamard Witkowski

“…It is most often a diagnosis of exclusion which often means that patients undergo many tests and find themselves erring for a diagnosis with very little satisfaction of the outcomes. …”
Get full text

Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…The study found that the SVM algorithm had the best prediction results after parameter adjustment, with a 96% accuracy rate. …”
Get full text

Spatiotemporal Fusion Algorithm Based on Multikernal Adaptive Network by Qiuhui Wang, Qiong Ran, Ke Zheng, Jiaxin Li

“…Spatiotemporal fusion (STF) technology is an effective means to address the challenge of balancing temporal and spatial resolutions for single satellite sensors. …”
Get full text

COMPARISON OF DATASET OVERSAMPLING ALGORITHMS AND THEIR APPLICABILITY TO THE CATEGORIZATION PROBLEM by Denys Teslenko, Anna Sorokina, Artem Khovrat, Nural Huliiev, Valentyna Kyriy

“…The obtained results indicated the best applicability of SMOTE and SVM SMOTE algorithms, the worst performance of Borderline SMOTE and k-means SMOTE, and at the same time described the results of each algorithm and the potential of their usage. …”
Get full text

Use of n-grams and K-means clustering to classify data from free text bone marrow reports by Richard F. Xiang

“…A natural language processing algorithm involving n-grams and K-means clustering was used to classify the text blocks into their appropriate bone marrow sections. …”
Get full text

Urban surface water bodies mapping using the automatic k-means based approach and sentinel-2 imagery by Mateo Gašparović, Sudhir Kumar Singh

“…AUWM was developed based on modified normalized difference water index, pansharpening techniques (MNDWIPS), and k-means clustering algorithm. Research was provided on three study sites. …”
Get full text

Cnidaria herd optimized fuzzy C-means clustering enabled deep learning model for lung nodule detection by R. Hari Prasada Rao, Agam Das Goswami

“…In addition, the FC2R segmentation model combines the optimized fuzzy C-means clustering algorithm and the Resnet −101 deep learning approach that effectively improves the performance of the model. …”
Get full text

Fault Location and Route Selection Strategy of Distribution Network Based on Distributed Sensing Configuration and Fuzzy C-Means by Bo Li, Guochao Qian, Lijun Tang, Peng Sun, Zhensheng Wu

“…To solve the problem of high cost and low efficiency of measuring equipment in traditional distribution network fault location, a fault section location and line selection strategy combining dynamic binary particle swarm optimization (DBPSO) configuration and fuzzy C-means (FCM) clustering is proposed in this paper. …”
Get full text

Point-of-interest recommender model using geo-tagged photos in accordance with imperialist Fuzzy C-means clustering. by Ali Asghar Salehi Solaiman Abadi, Keyhan Khamforoosh, Vafa Maihami

“…This paper presents a travel recommender system by integrating the Imperialist Competitive Algorithm (ICA) and Fuzzy C-Means (FCM) Clustering algorithm. …”
Get full text

Domain Generalization Using Maximum Mean Discrepancy Loss for Remaining Useful Life Prediction of Lithium-Ion Batteries by Wenbin Li, Yue Yang, Stefan Pischinger

“…In this work, a data-driven algorithm based on stacked Long Short Term Memory (LSTM) encoder–decoders is proposed for RUL prediction. …”
Get full text

Optimal by criterion of minimum of average risk adaptive device for decision meaning considering correlation properties of the reflected signal by S. A. Gabets, S. U. Sedushev, R. A. Hutsau

Get full text

Penerapan Algoritma K-Means Dan Metode Marketing Mix dalam Segmentasi Mahasiswa dan Strategi Pemasaran by Siti Monalisa, Tengku Nurainun, Misra Hartati

“…The methodology in this research are student segmentations using K-Means Algorithm dan Clustering with Dunn Index Algorithm. …”
Get full text