Data Mining Techniques in Decision Making by Amna Sajid, Basit Amin

“… Data mining aims to find relevant information for decision-making, forecasting, optimising, and other business or research reasons. …”
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Membangun Kepercayaan yang Berkelanjutan di Era Disruptif Komunikasi: Perspektif Media dan Komunikasi Digital by Agung Dharmajaya, Harmonis Minangkabawi

“…As the media landscape continues to evolve, addressing potential issues such as algorithmic bias and privacy concerns is critical to ensure trust in digital communications remains intact. …”
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Novel Computer Software for Interpolation and Approximation of Ravine and Stiff Digital Dependencies Using Root-Polynomoal and Root-Fractional-Rational Functions by Igor Melnyk, Mykhailo Skrypka, Alina Pochynok, Olga Demyanchenko

“…In general, the proposed algorithms are very universal and can be easily adapted to any complex problems. …”
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Spline shaft hob cutter accuracy increase by the means of theoretical profile approximation by the circle involute section by М. V. Frolov

“…Methods and algorithms for substituting circle involute parameters and substitution accuracy evaluation are suggested. …”
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ECG-Based Biometric Recognition: A Survey of Methods and Databases by David Meltzer, David Luengo

“…Readers interested in the subject can obtain an understanding of the state of the art, easily identifying specific key papers by using different criteria, and become aware of the databases where they can test their novel algorithms.…”
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Strength prominence index: a link prediction method in fuzzy social network by Sakshi Dev Pandey, Sovan Samanta, A. S. Ranadive, Leo Mrsic, Antonios Kalampakas, Tofigh Allahviranloo

“…In our experiments, we used three well-known estimators to evaluate the accuracy of link prediction algorithms: precision, area under the precision-recall curve, and area under the receiver operating characteristic curve. …”
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Research on Intelligent Navigation Technology: Intelligent Guidance and Path-Following Control of USVs by Xiaoyong Shang, Guoqing Zhang, Hongguang Lyu, Guifu Tan

“…This manuscript proposes future development directions for USVs by providing an overview of relevant standards for the intelligence level of these vessels and describing the current status of USV engineering practices. …”
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Different faces of the stethoscope: history, usefulness, evolution, contamination, and disinfection practices by Dorota Ochońska, Monika Brzychczy-Włoch, Katarzyna Talaga-Ćwiertnia

“…Research data indicate that a stethoscope can be contaminated by 21–100% with clinically relevant bacterial pathogens, including multidrug-resistant strains. …”
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Comparison of Bioelectric Signals and Their Applications in Artificial Intelligence: A Review by Juarez-Castro Flavio Alfonso, Toledo-Rios Juan Salvador, Aceves-Fernández Marco Antonio, Tovar-Arriaga Saul

“…The integration of AI algorithms with bioelectrical signal processing for real-time monitoring and diagnosis, particularly in personalized medicine, is emphasized. …”
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On the electron agyrotropy during rapid asymmetric magnetic island coalescence in presence of a guide field by E. Cazzola, M. E. Innocenti, M. V. Goldman, D. L. Newman, S. Markidis, G. Lapenta

“…We study the departure from isotropic and gyrotropic behavior by means of different robust detection algorithms proposed in the literature. While in the case without guide field these metrics show an overall agreement, when the guide field is present, a discrepancy in the agyrotropy within some relevant regions is observed, such as at the separatrices and inside magnetic islands. …”
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Methods and Strategies for Improving the Novel View Synthesis Quality of Neural Radiation Field by Shun Fang, Ming Cui, Xing Feng, Yanna Lv

“…This study can help researchers quickly understand the current state and evolutionary context of technology in this field, which is helpful in inspiring the development of more efficient algorithms and promoting the application of NeRF technology in related fields.…”
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Siamese Denoising Autoencoders for Enhancing Adversarial Robustness in Medical Image Analysis by Jaesung Shim, Kyuri Jo

“…Experiments on Chest X-ray, Brain MRI, Retina, and Skin images, using FGSM, PGD, DeepFool, CW, SPSA, and AutoAttack adversarial algorithms, demonstrate that the Siamese-DAE, trained to remove noise, effectively eliminates perturbations, leading to improved classification accuracy compared not only to the standard classification model but also to relevant denoising defense models.…”
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IMAGE SYNTHESIS OF METAL FOAM MICRO-STRUCTURE WITH THE USE OF WANG TILES by Lukáš Zrůbek, Martin Doškář, Anna Kučerová, Marcela Meneses-Guzmán, Francisco Rodríguez-Méndez, Bruno Chiné

“…</p><p>Wang Tiles method stores and compress the micro-structure in a set of Wang Tiles and by the means of stochastic tiling algorithms the planar domain is reconstructed. The used tiles are created by the Automatic tile design method from respective number of small specimens extracted from the original micro-structure image. …”
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Clinical Variations of Uveitis in Immuno-Inflammatory Diseases. Review of the Literature. Part 2 by G. A. Davydova, T. A. Lisitsyna, L. A. Kovaleva, E. S. Sorozhkina, A. A. Zaitseva, A. A. Baisangurova

“…Despite the numerous diagnostic schemes and therapy algorithms developed to date, much in the pathogenesis of uveitis associated with immuno-inflammatory diseases remains unclear. …”
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A Review Toward Deep Learning for High Dynamic Range Reconstruction by Gabriel de Lima Martins, Josue Lopez-Cabrejos, Julio Martins, Quefren Leher, Gustavo de Souza Ferreti, Lucas Hildelbrano Costa Carvalho, Felipe Bezerra Lima, Thuanne Paixão, Ana Beatriz Alvarez

“…The fundamental role of high-quality datasets and specific metrics in evaluating the performance of HDR algorithms is also discussed, as well as emphasizing the challenges inherent in capturing multiple exposures and dealing with artifacts. …”
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Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems by V. V. Ligi-Goryaev, G. A. Mankaeva, T. B. Goldvarg, S. S. Muchkaeva, E. N. Dzhakhnaeva

“…Various machine learning algorithms can be employed to address this issue. Traditional classification algorithms, including LSVC (Support Vector Machine), GBT (Gradient Boosting Tree), and RF (Random Forest), have been chosen for this study. …”
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Predicting adolescent psychopathology from early life factors: A machine learning tutorial by Faizaan Siddique, Brian K. Lee

“…The best performing algorithms were elastic net and gradient boosted trees. …”
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Cross paradigm fusion of federated and continual learning on multilayer perceptron mixer architecture for incremental thoracic infection diagnosis by Tianshuo Zhou, Boyuan Wang

“…However, obtaining all relevant data at once is challenging, as it is often acquired incrementally. …”
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Big data for imaging assessment in glaucoma by Douglas R. da Costa, Felipe A. Medeiros

“…With the rapid development of computational technologies, artificial intelligence (AI) and deep learning (DL) algorithms are emerging as potential tools for screening, diagnosing, and monitoring glaucoma progression. …”
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The Effects of Motion on Distributed Detection in Mobile Ad Hoc Sensor Networks by Xusheng Sun, Edward J. Coyle

“…These results allow rapid characterization of the time-dependence of distributed detection algorithms that are executed in mobile sensor networks.…”
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