Face presentation attack detection. A comprehensive evaluation of the generalisation problem by Artur Costa‐Pazo, Daniel Pérez‐Cabo, David Jiménez‐Cabello, José Luis Alba‐Castro, Esteban Vazquez‐Fernandez

“…Besides, a new fine‐grained categorisation of presentation attacks and instruments is provided, enabling higher flexibility in assessing the generalisation of different algorithms under a common framework. As a result, GRAD‐GPAD v2, a comprehensive and modular framework is presented to evaluate the performance of face‐PAD approaches in realistic settings, enabling accountability and fair comparison of most face‐PAD approaches in the literature.…”
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Cognitive Driven Multilayer Self-Paced Learning with Misclassified Samples by Qi Zhu, Ning Yuan, Donghai Guan

“…In recent years, self-paced learning (SPL) has attracted much attention due to its improvement to nonconvex optimization based machine learning algorithms. As a methodology introduced from human learning, SPL dynamically evaluates the learning difficulty of each sample and provides the weighted learning model against the negative effects from hard-learning samples. …”
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Computing four-point functions with integrability, bootstrap and parity symmetry by Andrea Cavaglià, Nikolay Gromov, Michelangelo Preti

“…As this could be a clear obstacle in restoring higher point functions, we studied the problem of bounding directly a 4-point function at generic cross ratio, showing how to adapt for this purpose the numerical bootstrap algorithms based on semidefinite programming. Another tool we are using to further narrow the bounds is a parity symmetry descending from the N $$ \mathcal{N} $$ =4 SYM theory, which allowed us to reduce the number of parameters. …”
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What is a meaningful life for persons with acquired neurological impairments? A scoping review protocol. by Randi Steensgaard, Michele Offenbach Hundborg, Hanne Pallesen, Lena Aadal

“…<h4>Methods</h4>A PICo framework defines the search algorithms used in the databases MEDLINE, Cinahl, PsycINFO and Embase. …”
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Trivariate Stochastic Weather Model for Predicting Maize Yield by Patrick Chidzalo, Phillip O. Ngare, Joseph K. Mung’atu

“…Its aggregated values predict maize yield with R2 up to 0.9765 and MAPE=1.94% under common machine learning algorithms. Comparatively, the R2 is 0.8829% and MAPE=4.18%, under the maize yield SDE. …”
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Immersive Technologies in the Educational Practice of Russian Universities by D. P. Ananin, A. Yu. Suvirova

“…Providing immersion of students in the real conditions of professional skills application, immersive educational products are designed to practice the algorithms of operations in standard and non-standard situations of their (future) occupations individually. …”
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Efficient Narrowband Direction of Arrival Estimation Based on a Combination of Uniform Linear/Shirvani-Akbari Arrays by Shahriar Shirvani Moghaddam, Farida Akbari

“…In this paper, two well-known DOA estimation algorithms, multiple signal classification (MUSIC) and minimum variance distortionless response (MVDR), are used to evaluate the effectiveness of proposed arrays using total root mean square error (RMSE) criterion. …”
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Tiny Machine Learning Implementation for Guided Wave-Based Damage Localization by Jannik Henkmann, Vittorio Memmolo, Jochen Moll

“…Starting from current state of the art in algorithms used for damage detection and localization, an AI-based technique is developed and validated on an experimental benchmark dataset before tiny ML implementation on a low-cost development board. …”
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Design and Evaluation of a Hybrid Technique for Detecting Sunflower Leaf Disease Using Deep Learning Approach by Arun Malik, Gayatri Vaidya, Vishal Jagota, Sathyapriya Eswaran, Akash Sirohi, Isha Batra, Manik Rakhra, Evans Asenso

“…Nowadays, deep learning algorithms are frequently employed for recognition and classification tasks. …”
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Conceptualizing Discussions on the Dark Web: An Empirical Topic Modeling Approach by Randa Basheer, Bassel Alkhatib

“…We demonstrate the needed stages for the topic modeling process, beginning with data preprocessing and feature extraction to topic modeling algorithms. We utilize and discuss the following four topic models: LDA, CTM, PAM, and PTM. …”
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Effects of using wearable devices to monitoring physical activity in pulmonary rehabilitation programs for chronic respiratory diseases: A systematic review protocol. by Thaianne Rangel Agra Oliveira, Ana Tereza do Nascimento Sales Figueiredo Fernandes, Thayla Amorim Santino, Fernanda Elizabeth Pereira da Silva Menescal, Patrícia Angélica de Miranda Silva Nogueira

“…Studies that discuss only the development of algorithms or applications for the assessment of diseases or unavailable full texts will be excluded. …”
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Innovative Radiating Systems for Train Localization in Interference Conditions by C. Vegni, M. Tosti, A. M. Vegni

“…Secondly, FRPA (Fixed Radiation Pattern Antenna) and CRPA (Controlled Radiation Pattern Antenna) phased array configurations of miniaturized patch antennas are studied by means of electromagnetic commercial tools and phased array optimization algorithms. This process leads to the identification of a phased array design. …”
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Shape optimization using a level set based mesh evolution method: an overview and tutorial by Dapogny, Charles, Feppon, Florian

“…After a brief presentation of some necessary background material – related to shape optimization and meshing, among others – we describe the numerical schemes involved, notably when it comes to the practice of the level set method, the remeshing algorithms, and the considered optimization solver. …”
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Noise-Based Active Defense Strategy for Mitigating Eavesdropping Threats in Internet of Things Environments by Abdallah Farraj, Eman Hammad

“…This work proposes applying PLS active defense mechanisms utilizing spectrum-sharing schemes combined with fair scheduling and power management algorithms to mitigate the risk of eavesdropping attacks on resource-constrained IoT environments. …”
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A Bibliometric Perspective on AI Research for Job-Résumé Matching by Sergio Rojas-Galeano, Jorge Posada, Esteban Ordoñez

“…Recent advances in AI, specifically in the fields of text analytics and natural language processing, have sparked the interest of research on the application of these technologies to help recruiters accomplish this task or part of it automatically, applying algorithms for information extraction, parsing, representation, and matching of résumés and job descriptions, or sections within. …”
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Survey of Connectivity Restoration in 3D Wireless Ad Hoc/Sensor Networks by Hongsheng Chen, Chunhui Wu, Mou Wu, Bin Xu, Ping Fan

“…This paper focuses on the critical task of restoring network connectivity in 3D WASN, a complex issue given that existing connectivity restoration algorithms for two-dimensional environments are not directly applicable or become overly complicated in 3D contexts. …”
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GLP-1 Receptor Agonists and Cardiovascular Disease in Patients with Type 2 Diabetes by María Isabel del Olmo-Garcia, Juan Francisco Merino-Torres

“…Although many of the mechanisms by which liraglutide and semaglutide produce a cardiovascular benefit are still unknown it would be desirable for these benefits to be incorporated into the therapeutic algorithms routinely used in clinical practice. The purpose of this review is to explore GLP-1 RA actions not only in cardiovascular risk factors (glucose, weight, and hypertension) but also the possible effects on established cardiovascular disease.…”
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Integrating Machine Learning and Material Feeding Systems for Competitive Advantage in Manufacturing by Müge Sinem Çağlayan, Aslı Aksoy

“…The research employs six machine learning (ML) algorithms—logistic regression (LR), decision trees (DT), random forest (RF), support vector machines (SVM), K-nearest neighbors (K-NN), and artificial neural networks (ANN)—to develop a multi-class classification model for material feeding system selection. …”
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RETRACTED: Geometric Construction of Video Stereo Grid Space by Huangchuang Zhang, Ruoping Shi, Ge Li

“…After in-depth research, this study found that the existing video space construction methods have three shortcomings: first, the problem of high requirements for objective conditions or low accuracy; second, the lack of easy and efficient mapping algorithms from 2D video pixel coordinates to 3D; and third, the lack of efficient correlation mechanisms between video space and external geographic information, making it difficult to integrate video space with external information, and thus prevent a more effective analysis. …”
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Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews by Muhammad Afzaal, Muhammad Usman, A. C. M. Fong, Simon Fong, Yan Zhuang

“…Such sentences make the data noisy and degrade the classification accuracy of the machine learning algorithms. This paper presents a fuzzy aspect based opinion classification system which efficiently extracts aspects from user opinions and perform near to accurate classification. …”
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