Multivariate Analysis for Overcoming Complexities of Corporate Governance and Managerial Dilemma Using Data Mining Techniques by Jyotsna Ghildiyal Bijalwan, Anchit Bijalwan

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Advancing Dynamic-Time Warp Techniques for Correcting Eye Tracking Data in Reading Source Code by Naser Al Madi

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EXPERIMENTAL METHODOLOGY AIMED AT IMPROVING THE FRONT-LEG KICK SPEED IN KARATE by Radoslav Penov, Milen Chalakov

“…That article aims to present the development of an experimental methodology that improves the speed of kicks in Karate. …”
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Airborne laser scanning data quality enhancement via rigorous calibration and comprehensive strip adjustment techniques by Qingeng Jin, Qingwu Hu, Xuzhe Duan, Pengcheng Zhao, Zijie Li, Jiayuan Li, Qingzhou Mao

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An analysis of ridesharing trip time using advanced text mining techniques by Wenxiang Xu, Anae Sobhani, Ting Fu, Amir Mahdi Khabooshani, Aminreza Vazirinasab, Sina Shokoohyar, Ahmad Sobhani, Behnaz Raouf

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A Bias Injection Technique to Assess the Resilience of Causal Discovery Methods by Martina Cinquini, Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi, Riccardo Guidotti

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Enhanced Gold Ore Classification: A Comparative Analysis of Machine Learning Techniques with Textural and Chemical Data by Fabrizzio Rodrigues Costa, Cleyton de Carvalho Carneiro, Carina Ulsen

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Analysis of the Dbzh Reflectivity of a Radar and the Precipitation in Bogota Using Functional Statistics and Data Mining Techniques by Angel Villabona-Ortiz, Rodrigo Ortega-Toro, Yessica Ramirez-Yara

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Finding Opportunity Windows in Time Series Data Using the Sliding Window Technique: the Case of Stock Exchanges by Necmi Gürsakal, Fırat Melih Yilmaz, Erginbay Uğurlu

“…This article uses a sliding window technique and the main aim is to answer two questions. …”
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Optimizing video data security: A hybrid MAES-ECC encryption technique for efficient internet transmission. by Sobia Shafiq, Sohaib Latif, Jawad Ibrahim, M Saad Bin Ilyas, Azhar Imran, Natalia Kryvinska, Ahmad Alshammari, Mohammed El-Meligy

“…This research article aims to maximize the security of transmitted video data by proposing a novel hybrid technique for video encryption and decryption. …”
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Optimal fault detection from seismic data using intelligent techniques: A comprehensive review of methods by Bhaktishree Nayak, Pallavi Nayak

“…Additionally, this review highlights emerging trends, including hybrid model applications and the integration of real-time data processing for seismic fault detection. By providing a detailed comparative analysis of current methodologies, this review aims to guide future research and foster advancements in the effectiveness and reliability of seismic studies. …”
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Evaluation of the Effect of Political Advertisements on Voters with Psychophysiological Data Harvesting Technique: The Case of 2023 Presidential Elections by Yaren Demirel

“…The aim of this study is to evaluate voters' levels of interest and focus on the political advertisements used by presidential candidates during the second round of the 2023 presidential elections, utilizing the Psychophysiological Data Harvesting technique. …”
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Data Fusion of Electronic Nose and Multispectral Imaging for Meat Spoilage Detection Using Machine Learning Techniques by Vassilis S. Kodogiannis, Abeer Alshejari

“…In order to take advantage of the complementary information provided by these two different sensing devices, a high-level data fusion strategy was explored. Through this fusion scheme, the aim of this work is to estimate initially the population of total viable counts of <i>Pseudomonas</i> spp., <i>Brochothrix thermosphacta</i> and lactic acid bacteria, and then to categorize the status of the meat samples into three classes (fresh, semi-fresh, and spoiled). …”
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Unveiling insights from unstructured wealth: a comparative analysis of clustering techniques on blockchain cryptocurrency data by Ramzi A. Haraty, Salma Sobeh

“…Clustering, an unsupervised learning technique, aims to identify a specific number of clusters to effectively categorize the data through data grouping. …”
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Dual-coding Contrastive Learning Based on the ConvNeXt and ViT Models for Morphological Classification of Galaxies in COSMOS-Web by Shiwei Zhu, Guanwen Fang, Chichun Zhou, Jie Song, Zesen Lin, Yao Dai, Xu Kong

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Data science techniques to gain novel insights into quality of care: a scoping review of long-term care for older adults by Ard Hendriks, Coen Hacking, Hilde Verbeek, Sil Aarts

“…The low number of included articles in this review indicate the need for strategies aimed at the effective utilization of data with data science techniques and evidence of their practical benefits. …”
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A Review on Data-Driven Model-Free Sliding Mode Control by Duby Castellanos-Cárdenas, Norha L. Posada, Andrés Orozco-Duque, Lina M. Sepúlveda-Cano, Fabio Castrillón, Oscar E. Camacho, Rafael E. Vásquez

“…Although SMC design has traditionally addressed process model-based approaches, the rapid advancements in instrumentation and control systems driven by Industry 4.0, coupled with the increased complexity of the controlled processes, have led to the growing acceptance of controllers based on data-driven techniques. This review article aims to explore the landscape of SMC, focusing specifically on data-driven techniques through a comprehensive systematic literature review that includes a bibliometric analysis of relevant documents and a cumulative production model to estimate the deceleration point of the scientific production of this topic. …”
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A Hybrid Methodology of Data Science and Decision Making Techniques: Lessons from COVID-19 Pandemic Management by mehdi dadehbeigi, ali taherinezhad, alireza alinezhad

“…Choosing an appropriate multi-criteria decision-making (MCDM) technique is crucial in such cases. With the spread of COVID-19 and the significant financial, economic, and human losses it caused, data mining has once again played a role in improving outcomes, predicting trends, and reducing these losses by identifying patterns in the data. …”
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Platelets Image Classification Through Data Augmentation: A Comparative Study of Traditional Imaging Augmentation and GAN-Based Synthetic Data Generation Techniques Using CNNs by Itunuoluwa Abidoye, Frances Ikeji, Charlie A. Coupland, Simon D. J. Calaminus, Nick Sander, Eva Sousa

“…Accurate identification and classification of platelets are essential for these purposes. The present study aims to create a synthetic database of platelet images using Generative Adversarial Networks (GANs) and validate its effectiveness by comparing it with datasets of increasing sizes generated through traditional augmentation techniques. …”
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Review of Image Processing Methods in Solar Photospheric Data Analyzes by Mohsen Javaherian, Zahra Eskandari

“…The final section deliberates on post-processing procedures as supplementary steps that are essential for deriving meaningful results from raw data. Effectively, this paper imparts vital information, offering concise explanations regarding the Sun's surface, the application of image processing techniques to various types of photospheric images, indispensable image preprocessing stages, and post-processing procedures aimed at transforming raw data into coherent and comprehensive insights.…”
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