Support Vector Regression and Beta Distribution for the Modeling of Incumbent Party vote for Presidential Elections by R., Kikawa, M, N. Ngungu, D., Ntirampeba, A., Ssematimba

Get full text

Theoretical State and Time-Varying Parameter Estimation for a Susceptible, Infected, Hospitalized, and Immunized Epidemic Model Based on New Hospital Admission and Death Data by Carmen Legarreta, Manuel De la Sen, Santiago Alonso-Quesada

“…However, existing techniques for its estimation are impractical as they rely on typically unavailable data. To address this, a prior analysis of the most frequently reported data during the Coronavirus Disease 2019 (COVID-19) pandemic has been carried out, namely the number of new hospital admissions (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>y</mi><mn>1</mn></msub><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula>) and deaths (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>y</mi><mn>2</mn></msub><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula>). …”
Get full text

Mass Function of Stellar Black Holes as Revealed by the LIGO–Virgo–KAGRA Observations by Xiao-Fei Dong, Yong-Feng Huang, Zhi-Bin Zhang, Xiu-Juan Li, Ze-Cheng Zou, Chen-Ran Hu, Chen Deng, Yang Liu

Get full text

New Approaches of Stochastic Models to Examine the Vibration Features in Roller Bearings by Saima Bhatti, Asif Ali Shaikh, Asif Mansoor, Murtaza Hussain

“…This study focuses on the collection and analysis of vibration data obtained from roller bearings experiencing various fault conditions. …”
Get full text

Implementation of generalized estimating equations and mixed linear models in Python by Kui-Zhuang JIAO, Xu-Xi MA, Xiao-Qian MA, Chao-Yi LIU, Qing ZHANG, Lu MA

“…Objective Explore the implementation of generalized estimation equations (GEE) and mixed linear models (MLM) in longitudinal data analysis using Python software, and expand its application in statistical analysis.Methods GEE and MLM were constructed by Python software to explore the impact of PM2.5 on lung function (forced expiratory volume in1second, FEV1) with an example of environmental epidemiology, and compared with the results of R software.Results With PM2.5 increases of 1 μg/m3, the FEV1 of the subjects decreased by 8 mL after 2 days. …”
Get full text

Determining the sensitivity of emergency dispatcher and paramedic diagnosis of stroke: statewide registry linkage study by Amminadab L. Eliakundu, Dominique A. Cadilhac, Joosup Kim, Monique F. Kilkenny, Kathleen L. Bagot, Emily Andrew, Shelley Cox, Christopher F. Bladin, Michael Stephenson, Lauren Pesavento, Lauren Sanders, Ben Clissold, Henry Ma, Karen Smith

“…Our aims were to determine the sensitivity of emergency dispatcher and paramedic identification of patients with stroke, the factors associated with correct identification, and whether there were any implications for hospital arrival times. Methods Observational study using patient‐level data from the Australian Stroke Clinical Registry (2015–2017) linked with ambulance and emergency department records for the state of Victoria. …”
Get full text

Loan classification using logistic regression by U. I. Behunkou, M. Y. Kovalyov

“…Based on the logistic regression algorithm using historical data on loans issued, the following  metrics are calculated: cost function, Accuracy, Precision, Recall и  score. …”
Get full text

Design of Dual-band Antenna based on Near-field Loading Technology by ZHAO Xianchao, ZHANG Honglin, SHEN Bingsong, ZHAO Qiang, REN Wencheng

“…【Objective】The objective of this paper is to address the application requirements for multi-mode and multi-band antennas in data link communications, proposing a dual-frequency antenna based on near-field loading technology.…”
Get full text

Seismogenic stress field estimation in the Calabrian Arc region (south Italy) from a Bayesian approach by C. Totaro, B. Orecchio, D. Presti, S. Scolaro, G. Neri

Get full text

Modelling Match Outcome in Australian Football: Improved accuracy with large databases by Young C., Luo W., Gastin P., Tran J., Dwyer D.

Get full text

Deleting a Child from the News: “the Right to Be Forgotten” as an Opportunity for Journalistic Ethics by Elif Korap Özel, Şadiye Deniz, Şükran Pakkan

“…Under this right, individuals can control the retention of digital copies of data relating to themselves to a certain extent. …”
Get full text

Cryptographic Techniques in Artificial Intelligence Security: A Bibliometric Review by Hamed Taherdoost, Tuan-Vinh Le, Khadija Slimani

“…Blockchain has also emerged as an essential technology for securing AI-driven applications, particularly in data integrity and secure transactions. …”
Get full text

Designing Customer Analytics Dashboard in Smart Device Retail Using Power BI by Reza Rahutomo

“…The adoption of data analytics has led to a paradigm shift in business decision-making, moving from intuition-based to data-driven strategies. …”
Get full text

Differential privacy and artificial intelligence: potentials, challenges, and future avenues by Yehia Ibrahim Alzoubi, Alok Mishra

“…Abstract Privacy preservation has become an increasingly critical concern in applications where data serves as a cornerstone for decision-making and innovation. …”
Get full text

Assessing the precision and consistency of agroview in orchard management: A multi-temporal analysis by Carolina Trentin, Yiannis Ampatzidis

“…This study addresses that gap by conducting a comprehensive evaluation of Agroview, a cloud-based AI-driven application, assessing its performance in analyzing plant-level data, such as inventory, canopy height, area, and leaf density, across two citrus blocks over four distinct data collection dates. …”
Get full text

ASCERTAINMENT OF THE EQUIVALENT CIRCUIT PARAMETERS OF THE ASYNCHRONOUS MACHINE by V. S. Safaryan, S. G. Gevorgyan

“…The article considers experimental and analytical determination of the asynchronous machine equivalent-circuit parameters with application of the reference data. Transient processes investigation of the asynchronous machines necessitates the equivalent circuit parameters (resistance impedance, inductances and coefficient of the stator-rotor contours mutual inductance) that help form the transitory-process mathematical simulation model. …”
Get full text

Proposing a New Method for Customer Segmentation Based on Their Level of Loyalty and Defining Appropriate Strategies for Each Segment by Samira KHodabandehlou, Ali Akbar Niknafs

“…The obtained data have been analyzed using Clementine 14.2 software application using MLP and RBF neural networks as well as the K-means algorithm. …”
Get full text

Lung Tumor Segmentation in Medical Imaging Using U-NET by J Jayapradha, Su-Cheng Haw, Naveen Palanichamy, Senthil Kumar Thillaigovindhan, Mutaz Al-Tarawneh

“…The proposed approach helps to achieve more relevant and accurate segmentation and thus provides enhancements in medical images analysis if such challenges as an imbalance data set are well handled.…”
Get full text

Weightage Identified Network of Keywords Technique: A Structured Approach in Identifying Keywords for Systematic Reviews by Sasidharan Sivakumar, Gowardhan Sivakumar

Get full text

Enhancing Reliability Engineering Through Weibull Distribution in R by Sameera Othman

“…This study delves into the application of the Weibull distribution to model lifetime data, showcasing its versatility in real-world scenarios. …”
Get full text