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

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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. …”
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Assessment of invasive aquatic plant dynamics in the Lake Burullus wetland complex integrating remote sensing techniques by Muhammad A. El-Alfy, Hazem T. Abd El-Hamid, Hicham Ait Kacem, Amr E. Keshta

“…Additionally, the potential application of these species in phytoremediation and bioenergy applications is discussed, underscoring their dual role as both ecological threats and potential resources.…”
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READING, PREPROCESSING OF ACCELERATIONS AND CORNERS INCLINATION WITH MPU-6050 I RECORD THEM ON SD-CARD THE ARDUINO DUE by V. G. Mikhailov

“…The analysis of methods of record of the binary data on SD-card Arduino Due, originating problems with neocleaning of memory from the previous program leading to possibility of duplication of the data on SD to a card, presence of the erratic point of view about restriction of volumes of data record and necessity of usage become outdated SD-cards is carried out. …”
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Hybrid Method between the Discrete Wavelets Translate Technique and the Chaos System Based by the Least Significant Bit Algorithm to Encrypt and Hide a Digital Video File by Hasan Ahmed

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To Combine or Not to Combine? The Influence of Combining Training Datasets on the Robustness of Deep Learning Models: An Analysis for Optical Character Recognition of Handwriting by Leopold Fischer-Brandies, Lucas Muller, Benjamin Rebholz, Ricardo Buettner

“…In practice, deep learning models should thus be trained on data that represents the actual application environment as closely as possible or, if such data is not available, on diverse data.…”
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Evaluation of agreement and correlation of three occlusal indices in an assessment of orthodontic treatment need by Đorđević Jelena, Šćepan Ivana, Glišić Branislav

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Homogenization of the Probability Distribution of Climatic Time Series: A Novel Algorithm by Peter Domonkos

“…The homogenization of probability distribution (HPD) may improve data accuracy even for daily data when the signal-to-noise ratio favors its application. …”
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Consumer Behaviour: Analysing Marketing Campaigns through Recommender Systems and Statistical Techniques

“…Our study aims to highlight the significant impact of consumer behaviour on marketing data through the innovative application of recommender systems supported by state-of-the-art machine learning and data analysis techniques. …”
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Fast, Robust, and Learned Distribution-Based Sorting by Paolo Ferragina, Mattia Odorisio

“…Despite a long history of research and achievements in designing sorting routines, new hardware features and application requirements pose advanced challenges that computer scientists are recently tackling through novel data-aware (learned) algorithms. …”
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XGBoost based enhanced predictive model for handling missing input parameters: A case study on gas turbine by Nagoor Basha Shaik, Kittiphong Jongkittinarukorn, Kishore Bingi

“…The goal is to construct a robust prediction model by utilizing previous operational data, such as environmental variables and operational parameters. …”
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The global research landscape and future trends in healthcare Total Quality Management by Zhiyuan Hu, Richard Szewei Wang, Xiaoping Qin, Yu-Ni Huang, Lin Li, Herng-Chia Chiu, Yuanli Liu, Bing-Long Wang

“…This study provides an insightful view into the prevailing international scenarios and upcoming research frontiers in healthcare TQM research field, utilizing bibliometric mapping through VOSviewer. Drawing data from 360 publications in the Web of Science core citation database, it delineates a steady growth in the field over the last 30 years. …”
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Site Component—k₀ and Its Correlation to V_S30 and the Site Fundamental Frequencies for Stations Installed in N. Macedonia by Marina Poposka, Davor Stanko, Dragi Dojchinovski

“…The site characteristics of the stations are determined through geophysical and borehole investigations, as well as HVSR mean curves derived from earthquake data. The strong-motion data used in this analysis originate from earthquake events with a moment magnitude greater than 3 (M_W > 3), an epicentral distance less than 120 km (R_epi < 120 km), and a focal depth lower than 30 km (h < 30 km). …”
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The PopGrouper as a tool for morbidity adjustment in regional comparisons of health care: an analytical framework by Anika Kreutzberg, Chrissa Tsatsaronis, Thomas G. Grobe, Wilm Quentin, Reinhard Busse, On behalf of the PopGroup consortium

“…We present an analytical framework to use the PopGrouper in examining regional variations across different outcomes and populations using routine patient-level data. Methods We develop a two-step empirical strategy to examine the relative regional performance on a set of efficiency and quality outcomes (e.g., hospital bed days, cost of care, mortality). …”
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Structural Tectonic Scheme Creation Based on Seismic-Gravity Models and Isostasy Usage: Ural Case by Martyshko Petr, Ladovskii Igor, Byzov Denis, Tsidaev Aleksandr

“…In this paper the application of complex interpretation methods of seismic and gravitational data for the creation of three-dimensional models of crust and the upper mantle are presented. …”
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ChatGPT and Artificial Intelligence in Hospital Level Research: Potential, Precautions, and Prospects by Hassaan B. Arshad, Sara A. Butt, Safi U. Khan, Zulqarnain Javed, Khurram Nasir

“…This review explores the application of ChatGPT in medical hospital level research, focusing on its capabilities for academic writing assistance, data analytics, statistics handling, and code generation. …”
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Exploring the Potential of Neural Networks to Predict Statistics of Solar Wind Turbulence by Daniel Wrench, Tulasi N. Parashar, Ritesh K. Singh, Marcus Frean, Ramesh Rayudu

“…Abstract Time series data sets often have missing or corrupted entries, which need to be handled in subsequent data analysis. …”
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Self-consistent gravity model for inferring node mass in flow networks by Daekyung Lee, Wonguk Cho, Heetae Kim, Gunn Kim, Hyeong-Chai Jeong, Beom Jun Kim

“…To address these limitations, we present a data-driven, self-consistent numerical approach that infers economic mass directly from trade flow data, eliminating the need for arbitrary proxies. …”
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