Concise and Accessible Representations for Multidimensional Datasets: Introducing a Framework Based on the nD-EVM and Kohonen Networks by Ricardo Pérez-Aguila, Ricardo Ruiz-Rodríguez

“…We argue that the new representations also provide appropriate segmentations by introducing some error functions such that our 1D-KNs classifications are compared against classifications based only in color intensities. Along the work, main properties and algorithms behind the nD-EVM are introduced for the purpose of interrogating the final representations in such a way that it efficiently obtains useful geometrical and topological information.…”
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TEACHER EDUCATION AND FEATURES OF THE CONTEMPORARY EDUCATIONAL CONTEXT by Irina G. Zakharova

“…The purpose of this paper is to study changes in the conditions of the educational process associated with the development of information and communication technologies (ICT).Methods. The main methods of the study were the analysis of scientific publications and regulatory documents, observations, interviews, surveys and questionnaires of students, the data processing, interpretation and analysis.Results. …”
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Behavioral economics: science or exoticism? by I. N. Drogobytsky

“…Actually it is engaged and behavioral economics, the main provisions of which are considered in this article.…”
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Artificial intelligence: protection and defence of human rights (ethical aspect) by Yu. M. Zhornokui

“…It is noted that one of the main ethical issues of artificial intelligence is its potential to perpetuate social stereotypes and discrimination. …”
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Gamification Elements in the Process of Ukrainian Language Training of Pedagogy Specialists by Iryna Humeniuk

“…The necessity of improving the methodology of teaching the language to students of different age groups while taking into account the main educational trends and public demand has been substantiated. …”
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A data-driven spatial-temporal model for prediction of tunnel deformation by Ziyi Zhang, Han Zhang, Cong Du, Mingzhao Wei, Xiaochao Wang, Jianqing Wu

“…The results show that the proposed model significantly outperforms other algorithms, including GRU, TCN, ChebNet, GCN, GAT, and GAT-TCN, in terms of prediction accuracy. …”
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Development of data driven machine learning models for the prediction and design of pyrimidine corrosion inhibitors by Aeshah H. Alamri, N. Alhazmi

“…However, the discovery of this important corrosion inhibitor has mainly be conducted by expensive trial and error experimental approaches. …”
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Brain computer interface based emotion recognition with error analysis and challenges: an interdisciplinary review by Niharika Gudikandula, Ravichander Janapati, Rakesh Sengupta, Sridhar Chintala

“…In this review, we address the main sources of errors in BCI-based emotion recognition from an interdisciplinary perspective, integrating knowledge from neuroscience, signal processing, machine learning, and psychology. …”
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Cable Force Optimization of Circular Ring Pylon Cable-Stayed Bridges Based on Response Surface Methodology and Multi-Objective Particle Swarm Optimization by Shengdong Liu, Fei Chen, Qingfu Li, Xiyu Ma

“…By synergizing explicit modeling with intelligent algorithms, this methodology effectively resolves the longstanding efficiency–accuracy trade-off in cable force optimization for cable-stayed bridges. …”
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Negotiating digital traces by Helene O. I. Gundhus, Pernille Erichsen Skjevrak, Christin Thea Wathne

“…Inspired by domestication theory, we provide new insights into police officers’ varied perceptions, interpretations, and use of data. Our main finding is that digital traces were not necessarily used as the steered and managed intelligence process envisioned in the Intelligence Doctrine, and that this led to various adverse outcomes. …”
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ML-Enabled Millimeter-Wave Software-Defined Radio With Programmable Directionality by Marc Jean, Murat Yuksel, Xun Gong

“…Since these super-6 GHz bands experience high path loss, directional beamforming has been the main method of access to the large amount of bandwidth available at these higher frequencies. …”
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How do generative artificial intelligence (AI) tools and large language models (LLMs) influence language learners’ critical thinking in EFL education? A systematic review by Jing Liu, Ahmad Johari Bin Sihes, Ye Lu

“…Abstract As generative artificial intelligence (AI) tools and large language models (LLMs)-powered applications develop rapidly in the era of algorithms, it should be integrated thoughtfully to enhance English as a Foreign Language (EFL) teaching and learning without replacing learners’ critical thinking (CT). …”
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Review of the methodology used for the assessment of the short‐term (acute) dietary exposure to pesticide residues in food (IESTI methodology) by European Food Safety Authority (EFSA)

“…For more than 400 pesticide/commodity combinations, comparative calculations were performed using the current IESTI methodology and the proposed alternative calculation algorithms. This impact assessment illustrated that the food commodities currently falling under IESTI case 1, 2a, 2b and 3, respectively, would be affected to a different extent if the IESTI methodology is replaced as proposed in the alternative calculation options. …”
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Artificial Noise Physical Layer Security for V2X Joint Radar Communication Systems-Based OTFS Waveform by Abdelrahman Abushattal, Ayhan Yazgan

“…The confidential information signal must be resilient to radar user eavesdropping while enabling the radar user to get the correct channel radar estimation image. The main contribution of this paper is to provide security for the JRC system used in V2X application networks by employing Artificial Noise (AN) Physical Layer Security (PLS) with low time complexity constraints, which integrates with the Orthogonal Time Frequency Space (OTFS) waveform that offers robustness against time-varying channel degradation considering the 3GPP TS 36 Extended Vehicular A channel model (EVA). …”
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Towards Reinforced Brain Tumor Segmentation on MRI Images Based on Temperature Changes on Pathologic Area by Abdelmajid Bousselham, Omar Bouattane, Mohamed Youssfi, Abdelhadi Raihani

“…We conclude that tumor contours delineation based on tumor temperature changes can be exploited to reinforce and enhance segmentation algorithms in MRI diagnostic.…”
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Disseminated intravascular coagulation by Satoshi Gando, Marcel Levi, Cheng-Hock Toh

“…This article aimed to provide a comprehensive and updated DIC overview. Main body The International Society on Thrombosis and Hemostasis provides definitions, underlying disorders, diagnostic algorithms, and management guidelines for DIC. …”
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Stability indicators in network reconstruction. by Michele Filosi, Roberto Visintainer, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello

“…The number of available algorithms to infer a biological network from a dataset of high-throughput measurements is overwhelming and keeps growing. …”
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EXPLORING AUTOMATED SUMMARIZATION: FROM EXTRACTION TO ABSTRACTION by Svetlana G. Sorokina

“…Qualitative evaluation indicated that while the models generally captured the main ideas of the source texts, some summaries suffered from oversimplification or misplaced emphasis. …”
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Self-Sensing of Piezoelectric Micropumps: Gas Bubble Detection by Artificial Intelligence Methods on Limited Embedded Systems by Kristjan Axelsson, Mohammadhossien Sheikhsarraf, Christoph Kutter, Martin Richter

“…Gas bubbles are one of the main disturbances encountered when dispensing drugs of microliter volumes using portable miniaturized systems based on piezoelectric diaphragm micropumps. …”
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Future impacts of artificial intelligence technologies in graphic design by Hussein Nasser Ibrahim Saleh Al-Dulaimi

“…Thanks to advanced algorithms and software, it has become possible to create innovative and attractive designs faster and easier than before. …”
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