Brazilian exports imputation: A new algorithm for estimating the municipal production directed at the foreign market by Alan Leal, Michelle Marcia Viana Martins

“… This paper aims to present a new algorithm to estimate Brazilian municipalities exports at the HS6 level. …”
Get full text

Organizational and economic algorithms of digital audit and digital controlling in the management system of large industrial enterprises by M. V. Belyaeva

“…The analysis of modern organizational and economic algorithms of digital audit and digital controlling is carried out. …”
Get full text

Credit card fraud Detection using Feature select method and improved machine learning algorithm by Mohammed AL-Hammadi

“…By using a binary genetic algorithm and cross-entropy, our feature selection approach identifies key attributes and evaluates their relevance to the target variable. …”
Get full text

Smart Product Recommendations in Web E-Commerce: Leveraging Apriori Algorithm for Market Basket Analysis by Hendra Hendra, Aditiya Hermawan, Edy Edy

“…In this research, the Market Basket Analysis (MBA) method analyzes consumer transaction data and identifies products often purchased together. The apriori algorithm is applied to generate association rules, and the Lift Ratio parameter is used to evaluate the strength of these rules. …”
Get full text

Method of testing the software of spacecraft electronic equipment based on fault injection in the algorithms of orientation and stabilization by D. A. Nedorezov, A. I. Postnikov, A. V. Murigin, A. V. Shnaider

“…The article substantiates the relevance of developing new methods and means of testing on-board electronic equipment of spacecraft based on the intentional introduction of faults for the purpose of testing survivability algorithms. …”
Get full text

Log-Viterbi algorithm applied on second-order hidden Markov model for human activity recognition by Yang Sung-Hyun, Keshav Thapa, M Humayun Kabir, Lee Hee-Chan

“…Therefore, we proposed probabilistic log-Viterbi algorithm on second-order hidden Markov model that facilitates our algorithm by reducing the time complexity with increased accuracy. …”
Get full text

SVD-GoRank: Recommender System Algorithm Using SVD and Gower’s Ranking by Ilham Saifudin, Triyanna Widiyaningtyas, Ilham Ari Elbaith Zaeni, Afrig Aminuddin

“…The problem is that this algorithm is limited to only the rating weights used. …”
Get full text

Incremental learning algorithm for dynamic evolution of domain specific vocabulary with its stability and plasticity analysis by Mansi Jain, Harmeet Kaur, Bhavna Gupta, Jaya Gera, Vandana Kalra

“…Experiments illustrate that multiple incremental updates maintain vocabulary relevance without compromising its effectiveness. The proposed algorithm ensures bounded memory and processing requirements, distinguishing it from conventional approaches. …”
Get full text

Development of Robot Feature for Stunting Analysis Using Long-Short Term Memory (LSTM) Algorithm by Muhammad Rahadian Abdurrahman, Halim Al Aziz, Farras Adhani Zayn, Muhammad Agus Purnomo, Heru Agus Santoso

“…We developed robot for stunting analysis using deep learning algorithm. It aligns with the Sustainable Development Goal (SDG) agenda, specifically targeting SDG 3, which focuses on ensuring good health and well-being for all.  …”
Get full text

Continuous Patient-Independent Estimation of Respiratory Rate and Blood Pressure Using Robust Spectro-Temporal Features Derived From Photoplethysmogram Only by Muhammad Ahmad Sultan, Wala Saadeh

Get full text

Algorithmic Support for Environmental Impact Assessment of Road Transport Infrastructure on Atmospheric Air in Urban Areas by N. I. Kurakina, R. A. Myshko, R. A. Burdin, N. F. Denissova

“…The developed software and algorithmic support can serve as the basis for development of a digital air pollution map. …”
Get full text

Development of a cataract screening model using an open dataset and deep machine learning algorithms by S.N. Sakhnov, K.D. Axenov, L.E. Axenova, V.V. Vronskaya, A.O. Martsinkevich, V.V. Myasnikova

Get full text

Travel Frequent-Route Identification Based on the Snake Algorithm Using License Plate Recognition Data by Feiyang Liu, Jie Zeng, Jinjun Tang, TianJian Yu

“…By leveraging the word2vec model, the detector installation rate requirement for Snake is significantly reduced, ensuring that the clustering results accurately represent the intrinsic relevance of traffic roads. Subsequently, frequent routes are identified from both macro- and micro-perspectives using the Steiner tree and Frequent Pattern Growth (FP Growth) algorithm, respectively. …”
Get full text

Validation of a teaching model instrument for university education in Ecuador through an artificial intelligence algorithm by Jenniffer Sobeida Moreira-Choez, Tibisay Milene Lamus de Rodríguez, Aracelly Fernanda Núñez-Naranjo, Ángel Ramón Sabando-García, María Belén Reinoso-Ávalos, Cynthia Michel Olguín-Martínez, Daniel Omar Nieves-Lizárraga, Julieta Elizabeth Salazar-Echeagaray

Get full text

Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome by Satya P. Singh, Sukrit Gupta, Jagath C. Rajapakse

“…For decoding, we propose recursive feature elimination (RFE) algorithm based on DeepLIFT, layer-wise relevance propagation (LRP), and Integrated Gradients (IG) algorithms to remove irrelevant features and thereby identify key biomarkers associated with AD and PD. …”
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

“…The Synthetic Minority Oversampling Technique (SMOTE) algorithm was used to undersample a small number of samples and employed Stratified K-fold Cross Validation. …”
Get full text

Enhancing Security in Industrial IoT Networks: Machine Learning Solutions for Feature Selection and Reduction by Ahmad Houkan, Ashwin Kumar Sahoo, Sarada Prasad Gochhayat, Prabodh Kumar Sahoo, Haipeng Liu, Syed Ghufran Khalid, Prince Jain

“…The results reveal that Minimum Redundancy Maximum Relevance is superior to Principal Component Analysis in identifying crucial features. …”
Get full text

Machine learning-based prediction of postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy by Qianchang Wang, Zhe Wang, Fangfeng Liu, Zhengjian Wang, Qingqiang Ni, Hong Chang

“…Abstract Background Clinically relevant postoperative pancreatic fistula (CR-POPF) following laparoscopic pancreaticoduodenectomy (LPD) is a critical complication that significantly worsens patient outcomes. …”
Get full text

Algorithmic indexing in MEDLINE frequently overlooks important concepts and may compromise literature search results by Alexandre Amar-Zifkin, Taline Ekmekjian, Virginie Paquet, Tara Landry

“…Evaluations and revisions of indexing algorithms should strive to ensure that relevant, accurate and precise MeSH terms are applied to MEDLINE records. …”
Get full text

Enhanced Heart Disease Diagnosis Using Machine Learning Algorithms: A Comparison of Feature Selection by Hirmayanti, Ema Utami

“…So in this study, it will be more focused on the selection of relevant features or attributes to increase the accuracy value of the Machine Learning algorithm. …”
Get full text