The Use of Neural Networks in the Diagnosis of Heart Failure Via the Analysis of Medical Data by Valentino Blanco, Aitana Iglesias

“…The crux of effective management is in the process of decision-making, which is contingent upon the availability of information and effective communication. …”
Get full text

Simultaneous isolation and parallel analysis of genomic DNA and total RNA: A comprehensive approach by Jeremy Rouse, Han Wei, Abigail Annas, David Scott, Divya Bhagchandani, Clayton Beard

“…The efficiency of this process hinges on the vector copy number (VCN) and transgene expression. …”
Get full text

Bearing Response Prediction in Hydrothermal Aged Carbon Fiber Reinforced Epoxy Composite Joints Using Machine Learning Techniques by Mohit Kumar, Govind Vashishtha, Babita Dhiman, Sumika Chauhan

“…The hydrothermal aging process can significantly affect the mechanical behavior of such composites, particularly in joint configurations. …”
Get full text

Comparison of Rating-based and Inset Lexicon-based Labeling in Sentiment Analysis using SVM (Case Study: GoBiz Application Reviews on Google Play Store) by Hiliah Firda, Pacu Putra, Nabila Rizky Oktadini, Putri Eka Sevtiyuni, Allsela Meiriza

“…It compares two labeling methods—Rating-Based and Inset Lexicon—and evaluates them using the Support Vector Machine (SVM) algorithm. The analysis process includes data selection, text preprocessing, data transformation using TF-IDF, SVM implementation with 10-fold cross-validation, and result visualization through word clouds. …”
Get full text

Computational hybrid analysis of drug diffusion in three-dimensional domain with the aid of mass transfer and machine learning techniques by Mohammed Alqarni, Ali Alqarni

“…These findings have implications for various applications such as environmental monitoring, pollutant dispersion modeling, and chemical process optimization.…”
Get full text

Fast estimation of patient‐specific organ doses from abdomen and head CT examinations without segmenting internal organs using machine learning models by Wencheng Shao, Liangyong Qu, Xin Lin, Ying Huang, Weihai Zhuo, Haikuan Liu

“…This study introduces a method that uses support vector regression (SVR) models trained on skin outline radiomic features to predict organ doses without organ segmentation, thus streamlining the process for clinical use. …”
Get full text

Examining the Impact of Changes in Natural Gas, Oil, and Currency Prices on the Return of Selected Stock Market Indices by Bakhtiar Javaheri, Seyed Meysam Mousavi Fatah, Khaled Ahmadzadeh

“…As a strategic energy source, natural gas is a vital component of the production process for goods and services. On the other hand, financial markets are crucial to any country's economy, and stock exchanges are a key component of these markets. …”
Get full text

Features of the Psychological Health of Teachers of Different Levels of Professional Skill in the Context of Digital Transformation of the Educational Process by D.R. Merzlyakova

“…Kozlov, which includes the following scales: “Strategic vector”, “I-vector”, “Intellectual vector”, “Humanistic vector”, “Creative vector”, “Family vector”, “Prosocial vector”, “Spiritual vector”. …”
Get full text

A model for identifying project sprint tasks based on their description by Marina Grinchenko, Mykyta Rohovyi

“…The following methods have been used: machine learning methods for classification, text vectorization methods, methods for classifying text descriptions, natural language processing methods, methods for semantic analysis of task description text, methods for processing expert opinions. …”
Get full text

A model for identifying project sprint tasks based on their description by Марина Гринченко, Микита Роговий

“…The following methods have been used: machine learning methods for classification, text vectorization methods, methods for classifying text descriptions, natural language processing methods, methods for semantic analysis of task description text, methods for processing expert opinions. …”
Get full text

Study on the multistage iterative rank-reduced method by GUO Yi1, ZHANG Er-yang1, SHEN Rong-jun2

“…On the background of joint space-time anti-jammer processing for GPS receiver,multistage Wiener filter-ing（MWF）algorithm and auxiliary vector filtering（AVF）algorithm was deeply analyzed as two typical multistage itera-tive rank-reduced method in this article and their immanent relationship was pointed out.A new algorithm was proposed which has a forward recursion on the data level and a backward iterative.Compared with MWF and AVF,the proposed algorithm has a better performance,reduces the computation complexity and selects the filter rank more easily.It suits with practical realization of joint space-time anti-jammer processing for GPS receiver.Numerical simulation demon-strates that the proposed method is effect and efficient.…”
Get full text

Study on the multistage iterative rank-reduced method by GUO Yi1, ZHANG Er-yang1, SHEN Rong-jun2

“…On the background of joint space-time anti-jammer processing for GPS receiver,multistage Wiener filter-ing（MWF）algorithm and auxiliary vector filtering（AVF）algorithm was deeply analyzed as two typical multistage itera-tive rank-reduced method in this article and their immanent relationship was pointed out.A new algorithm was proposed which has a forward recursion on the data level and a backward iterative.Compared with MWF and AVF,the proposed algorithm has a better performance,reduces the computation complexity and selects the filter rank more easily.It suits with practical realization of joint space-time anti-jammer processing for GPS receiver.Numerical simulation demon-strates that the proposed method is effect and efficient.…”
Get full text

Passive indoor human daily behavior detection method based on channel state information by Xiaochao DANG, Yaning HUANG, Zhanjun HAO, Xiong SI

Get full text

Raman and FT-IR Spectroscopy Coupled with Machine Learning for the Discrimination of Different Vegetable Crop Seed Varieties by Stefan M. Kolašinac, Marko Mladenović, Ilinka Pećinar, Ivan Šoštarić, Viktor Nedović, Vladimir Miladinović, Zora P. Dajić Stevanović

“…After visual inspection of spectra, pre-processing was applied in the following combinations: (1) smoothing + linear baseline correction + unit vector normalization; (2) smoothing + linear baseline correction + unit vector normalization + full multiplicative scatter correction; (3) smoothing + baseline correction + unit vector normalization + second-order derivative. …”
Get full text

Prediction of the pharmaceutical solubility in water and organic solvents via different soft computing models by A. Yousefi, k. movagharnejad

“…Three different artificial neural networks including multilayer perceptron, radial basis function and support vector machine were constructed to predict the solubility of these different pharmaceutical compounds in water and different solvents. …”
Get full text

An IoT-Enabled mHealth Sensing Approach for Remote Detection of Keratoconus Using Smartphone Technology by Behnam Askarian, Amin Askarian, Fatemehsadat Tabei, Jo Woon Chong

Get full text

Egg appearance quality detection based on CNN-SVM model by QI Ge, ZHAO Feng, LI Wanning

Get full text

Handheld NIR Spectroscopy Combined with a Hybrid LDA-SVM Model for Fast Classification of Retail Milk by Francesco Maria Tangorra, Annalaura Lopez, Elena Ighina, Federica Bellagamba, Vittorio Maria Moretti

“…The EU market offers different types of milk, distinguished by origin, production method, processing technology, fat content, and other characteristics, which are often detailed on product labels. …”
Get full text

Research on the Sharing Control Method of Anemometer Based on Wind Direction Correlation Coefficient of Wind Turbine by WEN Kun, WAN Yubin, HU Kaikai, ZHANG Jiayou, CHEN Ya'nan, LI Kecheng

“…An anemometer sharing control method based on wind direction correlation coefficient is proposed in this paper according to the wind speed and direction sharing technology concept of wind turbine. Firstly, the wind vector average method is used to preprocess the wind direction sequence of adjacent fans to solve zero-crossing problem of wind direction sequence.Then, using regression analysis method based on Pearson correlation coefficient theory, the wind direction sequence of adjacent fans is further processed to form a list of wind direction correlation coefficients of defective fans and establish a shared fan group, which are used to predict the wind direction of defective fans. …”
Get full text

Improved Remote Photoplethysmography Using Machine Learning-Based Filter Bank by Jukyung Lee, Hyosung Joo, Jihwan Woo

“…The proposed algorithm can be integrated into various rPPG algorithms for the pre-processing of RGB signals. Moreover, its computational efficiency is expected to enable straightforward implementation in system development, making it broadly applicable across the healthcare field.…”
Get full text