Preventing face morphing attacks by using legacy face images by Ilias Batskos, Florens F. deWit, Luuk J. Spreeuwers, Raymond J. Veldhuis

“…Finally, their performance is compared with a state‐of‐the‐art MA detection algorithm on the same dataset.…”
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Travel time prediction for an intelligent transportation system based on a data-driven feature selection method considering temporal correlation by Amirreza Kandiri, Ramin Ghiasi, Maria Nogal, Rui Teixeira

“…Travel-time prediction is a critical component of Intelligent Transportation Systems (ITS), offering vital information for tasks such as accident detection, congestion management, and traffic flow optimisation. …”
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Multi-Way Fluorescence Technique Combined with Four-Way Calibration for the Determination of Thiabendazole and Carbaryl in Apple by Haiyan Chang, Hailong Wu, Tong Wang, Xiaozhi Wang, Ruqin Yu

“…In this study, an excitation–emission–pH multi-way fluorescence technique coupled with a third-order calibration method based on an alternating quadrilinear decomposition (AQLD) algorithm was proposed for the simultaneous determination of thiabendazole (TBZ) and carbaryl (CAR) in apples. …”
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Prediction of acute kidney injury in intensive care unit patients based on interpretable machine learning by Li Zhang, Mingyu Li, Chengcheng Wang, Chi Zhang, Hong Wu

“…Conclusions The XGBoost algorithm can predict the occurrence of AKI more accurately. …”
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The Design and Implementation of a Dynamic Measurement System for a Large Gear Rotation Angle Based on an Extended Visual Field by Po Du, Zhenyun Duan, Jing Zhang, Wenhui Zhao, Engang Lai, Guozhen Jiang

“…The methodology consists of the following steps: First, sub-pixel edges of calibration circles on a 2D dot-matrix calibration board are extracted using edge detection algorithms to obtain pixel coordinates of the circle centers. …”
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Time-Shifted Maps for Industrial Data Analysis: Monitoring Production Processes and Predicting Undesirable Situations by Tomasz Blachowicz, Sara Bysko, Szymon Bysko, Alina Domanowska, Jacek Wylezek, Zbigniew Sokol

“…Unlike contemporary machine learning techniques, TSM relies on a simple and interpretable algorithm designed to process data from standard industrial automation systems. …”
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Multi-Scale Spatiotemporal Feature Enhancement and Recursive Motion Compensation for Satellite Video Geographic Registration by Yu Geng, Jingguo Lv, Shuwei Huang, Boyu Wang

“…Satellite video geographic alignment can be applied to target detection and tracking, true 3D scene construction, image geometry measurement, etc., which is a necessary preprocessing step for satellite video applications. …”
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Reconstructing the silent circulation of West Nile Virus in a Caribbean island during 15 years using sentinel serological data. by Celia Hamouche, Jennifer Pradel, Nonito Pagès, Véronique Chevalier, Sylvie Lecollinet, Jonathan Bastard, Benoit Durand

“…We fitted the model to the serological data using a Markov Chain Monte Carlo algorithm. We found that WNV FOI in Guadeloupe Island presented both within-year (seasonal) and between-years fluctuations. …”
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Hybrid Optimized Feature Selection and Deep Learning Method for Emotion Recognition That Uses EEG Data by asmaa Bashar Hmaza, Rajaa K. Hasoun

“…This study incorporates the concepts of the PSO algorithm into a feature selection and deep learning model by using LSTM to enhance EEG emotion identification. …”
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Integrative analysis of ceRNA networks and immune cell infiltration in thyroid cancer for enhanced diagnostic and prognostic insights by Chang Lv, Huazhe Wu, Dejun Yin, Wei Fang, Liming Zhou

“…Survival analysis and the Cibersort algorithm further revealed the relationship between ceRNA regulatory networks and immune cell infiltration. …”
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U-net based approach for pectoralis muscle segmentation in digital mammography by Francesca Angelone, Alfonso Maria Ponsiglione, Roberto Grassi, Francesco Amato, Mario Sansone

“…This study aims to propose an automatic breast segmentation algorithm that combines traditional methods with Deep Learning methods limited only to the border region between the muscle and the breast. …”
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Synergic sensing of light and heat emitted by offshore oil and gas platforms in the South China Sea by Yujia Qiu, Xiao-Ming Li, Lin Yan, Zhongzhong Chen

“…By incorporating GLI visible colour bands, we developed an algorithm for gas flaring detection, pinpointing 113 active OG platforms in the South China Sea. …”
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ADULT-ONSET STILL’S DISEASE: ASPECTS OF THE HEMATOLOGY CLINIC by M. M. Agakishiev, I. I. Mulina, A. M. Popova, I. N. Nechunaeva, L. M. Maslova, I. B. Kovynev, T. I. Pospelova

“…The article outlines the differential diagnosis algorithm, presents the criteria for diagnosis and approaches to therapy. …”
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Passive acoustic monitoring reveals seasonal patterns in European green toad calling activity but fails to accurately reflect population abundance by Mikołaj Kaczmarski, Jan M. Kaczmarek, Agata Radzińska, Michał Budka

“…Our algorithm generated a calling intensity index, which detected 36% of calls with 96% precision. …”
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Pathogen-specific epitopes as epidemiological tools for defining the magnitude of Mycobacterium leprae transmission in areas endemic for leprosy. by Marcia V S B Martins, Marjorie M da S Guimarães, John S Spencer, Mariana A V B Hacker, Luciana S Costa, Fernanda M Carvalho, Annemieke Geluk, Jolien J van der Ploeg-van Schip, Maria A A Pontes, Heitor S Gonçalves, Janvier P de Morais, Tereza J P G Bandeira, Maria C V Pessolani, Patrick J Brennan, Geraldo M B Pereira

“…In the present study, the patterns of IFN-γ release of the individuals exposed or non-exposed to M. leprae were compared using an Artificial Neural Network algorithm, and the most promising M. leprae peptides for the identification of exposed people were selected. …”
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Conceptual Approaches аnd the Program of Polimas-Stability Study of Migration of Foreign Students in Russia by N. A. Shchitova, V. S. Belozerov, I. A. Soloviev

“…In accordance with the logic of the developed concept, a program for studying the spatial features of the immigration of foreign students in Russia is presented. The step-by-step algorithm of the research program includes several stages, reflecting the nature and content of the main tasks to be solved.Conclusions. …”
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A Rough Surface-Aided Non-Line-of-Sight Joint Sensing and Communication System for THz Band by Saira Rafique, Huseyin Arslan

“…A geometry-based stochastic model (GBSM) is employed to characterize specular and diffuse scattering from the RS which is modeled using Kirchhoff approximation (KA), whereas Beckmann-Kirchhoff (BK) scattering theory is applied to calculate power per ray. A novel algorithm is proposed to identify the angles of target-associated diffusely scattered rays using high-resolution direction-of-arrival (DoA) estimation techniques. …”
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Thermoluminescence Properties of Plagioclase Mineral and Modelling of TL Glow Curves with Artificial Neural Networks by Mehmet Yüksel, Emre Ünsal

“…In addition, an artificial neural network (ANN) model was developed to predict TL glow curves using three optimization algorithms, including Levenberg–Marquardt (LM), Bayesian Regularization (BR), and Scaled Conjugate Gradient (SCG). …”
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Fluid flow characteristics estimation of a new integrated bifluid/airbased photovoltaic thermal system utilizing a hybrid optimization method by Ghassan A. Bilal, Abdullateef A. Jadallah, Omayma M. Abdulmajeed, Müslüm Arıcı

“…For the reliability of the proposed algorithm, the mean absolute percentage error was used for error estimation detection. …”
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Sloped Terrain Segmentation for Autonomous Drive Using Sparse 3D Point Cloud by Seoungjae Cho, Jonghyun Kim, Warda Ikram, Kyungeun Cho, Young-Sik Jeong, Kyhyun Um, Sungdae Sim

“…A ubiquitous environment for road travel that uses wireless networks requires the minimization of data exchange between vehicles. An algorithm that can segment the ground in real time is necessary to obtain location data between vehicles simultaneously executing autonomous drive. …”
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