A Sea Horse Optimization-Based Approach for PEM Fuel Cell Model Parameter Estimation by Ali Erduman, Gizem Hazar, Evrim Baran Aydın

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A robust scheme for securing relational data incremental watermarking by Maikel Lázaro Pérez Gort, Agostino Cortesi

“…Watermarking techniques aim to protect relational databases by embedding on them a copyright signal known as the watermark without imposing additional restrictions. …”
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Novel extraction of bioactive compounds from algae using green solvent: Principles, Applications, and Future perspectives by Tan Phat Vo, Dinh Quan Nguyen, Thai Anh Thi Ho, Thuan Minh Nguyen, Nguyen Minh Huy Ha, Phong H.N. Vo

“…The data of novel extraction techniques will provide strong support for designing and practicing the extraction of bioactive compounds at an industrial scale. …”
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Data hiding to the image with bit plane slicing and double XOR by Bilgi Özdemir, Nurettin Doğan

“…This technique is aimed to provide high image quality and data security. …”
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Some experimental observations of crack-tip mechanics with displacement data by M. Mokhtari, P. Lopez-Crespo, B. Moreno, M. Zanganeh

“…In the past two decades, crack-tip mechanics has been increasingly studied with full-field techniques. Within these techniques, Digital Image Correlation (DIC) has been most widely used due to its many advantages, to extract important crack-tip information, including Stress Intensity Factor (SIF), Crack Opening Displacement, J-integral, T-stress, closure level, plastic zone size, etc. …”
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Detection of OSA Through the Application of Deep Learning on Polysomnography Data by Hasan Ulutas, Recep Sinan Arslan, Muhammet Emin Sahin, Halil Ibrahim Cosar, Cagri Arisoy, Ahmet Sertol Koksal, Mehmet Bakir, Bulent Ciftci

“…This paper presents a comprehensive study on the application of deep learning techniques to accurately detect sleep apnea. The study leverages a dataset obtained from the Sleep Laboratory of the Department of Chest Diseases of Yozgat Bozok University, with the aim of developing an effective decision support system capable of identifying cases of sleep disorders with high accuracy. …”
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CNN Issues in Skin Lesion Classification: Data Distribution and Quantity by Giuliana Ramella, Luca Serino

“…In the effort to tackle this problem, we provide a comprehensive quantitative evaluation aimed at identifying the most critical new emerging computational aspects and the related effective techniques. …”
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SoK: The Impact of Educational Data Mining on Organisational Administration by Hamad Almaghrabi, Ben Soh, Alice Li, Idrees Alsolbi

“…Educational Data Mining (EDM) applies advanced data mining techniques to analyse data from educational settings, traditionally aimed at improving student performance. …”
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Data-driven assessment of well stimulation in unconventional gas reservoirs by Jian Yang, Song Li, Ji Zeng, Zhaozhong Yang, Xiaogang Li, Tingting He, Liangping Yi, Bing Kong

“…By systematically gathering and processing vast arrays of geological, operational, and production data, this study aims to identify patterns and correlations that can predict stimulation outcomes more accurately. …”
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Data-Driven Approaches in Antimicrobial Resistance: Machine Learning Solutions by Aikaterini Sakagianni, Christina Koufopoulou, Petros Koufopoulos, Sofia Kalantzi, Nikolaos Theodorakis, Maria Nikolaou, Evgenia Paxinou, Dimitris Kalles, Vassilios S. Verykios, Pavlos Myrianthefs, Georgios Feretzakis

“…<b>Methods:</b> We analyzed AMR gene data in the PanRes dataset by applying unsupervised learning techniques, namely K-means clustering and Principal Component Analysis (PCA). …”
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Melting of Privacy with Machine Learning, Big Data, and Social Media by Pelin Canbay, Zübeyde Demircioğlu

“…Is it possible to talk about keeping personal data private? This study aims to investigate whether it is possible both to connect to the cyber-world and remain private in the digital era, where intensive studies have been conducted to protect privacy. …”
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Air quality investigation using functional data analysis methods by Akvilė Vitkauskaitė, Milda Salytė

“…The functional data analysis techniques demonstrate their effectiveness in revealing deep links within large datasets, assisting in the control of air quality problems. …”
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Analysis of Autism Spectrum Disorder in Children with Data Mining Methods by Sümeyye Çelik, Melike Şişeci Çeşmeli

“…Data mining techniques aim to reveal hidden patterns in data. …”
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Analysis of Machine Learning Performance in Spatial Interpolation of Rainfall Data by Alexandre E. L. Nobrega, Itamir M. Barroca Filho

“…The spatialization of precipitation data is crucial for studies on climatology, agriculture, and climate change, as well as for urban and environmental planning. …”
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Formalization for Subsequent Computer Processing of Kara Sea Coastline Data by Daria Bogatova, Stanislav Ogorodov

“…This study aimed to develop a methodological framework for predicting shoreline dynamics using machine learning techniques, focusing on analyzing generalized data without distinguishing areas with higher or lower retreat rates. …”
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Revolutionizing Data Exchange Through Intelligent Automation: Insights and Trends by Yeison Nolberto Cardona-Álvarez, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez

“…We explore how the integration of these technologies into data management systems enhances operational efficiency, precision, and security through intelligent automation and advanced machine learning techniques. …”
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Research on façade design for cold-region buildings based on artificial neural networks and parametric modeling techniques by Huan Youxiang

“…This work aims to use deep learning techniques to model the thermal performance of walls in buildings located in cold regions. …”
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Interactive Earth system data cube visualization in Jupyter notebooks by Maximilian Söchting, Gerik Scheuermann, David Montero, Miguel D. Mahecha

“…Employing the described techniques, Lexcube for Jupyter significantly reduces data processing and visualization times compared to existing tools, facilitating real-time data exploration.…”
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“Data-based management”: prospects for implementation into the system of vocational education by V. I. Blinov, I. S. Sergeev, E. Yu. Esenina, N. S. Garkusha, N. F. Rodichev

“…Aim. The present research aimed to explore the concept of “predictive analytics” as the foundation of a data-driven management methodology and to examine the potential application of this methodology in vocational education. …”
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A Crime Data Analysis of Prediction Based on Classification Approaches by Fatima Shaker Hussain, Abbas Fadhil Aljuboori

“…Where learning used data sets to train and test it to get desired results on them. …”
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