Artificial Intelligence Ethics in Organizational Human Resources Management by Behnoush Jovari

“…There are whispers about whether or not Artificial Intelligence (AI) will become more powerful in the field of competition with the human resources of organizations. The main problem for organizations to use AI is the mental ambiguity of their organizational resources about this intelligence in the field of professional ethics. …”
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Bridging Plant Biotechnology and Additive Manufacturing: A Multicriteria Decision Approach for Biopolymer Development by Aarthi S., Raja S., Maher Ali Rusho, Simon Yishak

“…A multicriteria decision-making (MCDM) approach, integrated with machine learning (ML) algorithms, is suggested to enable optimal material selection based on printability, biodegradability, and mechanical properties. …”
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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

“…A stethoscope is a tool mainly used by physicians of various specialties in their daily work. …”
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Advanced Methods Used for the Position and Speed Control of the Electrical Drives with PMSM Motors by SPOIALA Viorica

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Implementing Mathematics of Arrays in Modern Fortran: Efficiency and Efficacy by Arjen Markus, Lenore Mullin

“…This article presents the first results, both in terms of code and of performance, regarding this union. It may serve as a basis for further research, both with respect to the formal theory of MoA and to improving the practical implementation of array-based algorithms.…”
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Development of a Near-Field Bistatic Synthetic Aperture Radar for Complex Target Reconstruction by David G. Johnson, Graham M. Brooker

“…The second part of the paper outlines efficient algorithms that may be applied to the tomographic and topographic reconstruction of complex targets within the viewing geometry of this ISAR system.…”
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Design and Simulation of a Smart Home LAN Network Using Packet Tracer Application by SPOIALA Dragos Cristian, SPOIALA Viorica

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Diagnosis of knee meniscal injuries using artificial intelligence: A systematic review and meta-analysis of diagnostic performance. by Soheil Mohammadi, Ali Jahanshahi, Mohammad Shahrabi Farahani, Mohammad Amin Salehi, Negin Frounchi, Ali Guermazi

“…<h4>Conclusion</h4>The results of this study imply the lower diagnostic performance of AI-based algorithms in knee meniscal injuries compared with clinicians.…”
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Automatic Data Race Error Detection in SystemC Models by A. V. Zakharov, M. J. Moiseev

“…These algorithms can detect all the errors that exist in the program. …”
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A multi-label classification method for disposing incomplete labeled data and label relevance by Lina ZHANG, Lingpeng DAI, Tai KUANG

“…Multi-label classification methods have been applied in many real-world fields，in which the labels may have strong relevance and some of them even are incomplete or missing.However，existing multi-label classification algorithms are unable to handle both issues simultaneously.A new probabilistic model that can automatically learn and exploit multi-label relevance was proposed on label relevance and missing label classification simultaneously.By integrating out the missing information，it also provides a disciplined approach to handle missing labels.Experiments on a number of real world data sets with both complete and incomplete labels demonstrated that the proposed method can achieve higher classification and prediction evaluation scores than the existing multi-label classification algorithms.…”
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The Influence of Artificial Intelligence on Communication by Talmaţchi Maria-Lucia

“…The accountability of automated systems, the transparency of algorithms, as well as the risks of information manipulation are examined from an ethical perspective. …”
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Ocular markers of microangiopathy and their possible association with cardiovascular risk in patients with systemic inflammatory rheumatic diseases: a systematic review by Bengta Sturm, Anna-Lena Zang, Julia Stingl, Rebecca Hasseli-Fräbel, Antonis Fanouriakis, Andreas Schwarting, Andreas Schwarting, Christian Geber, Julia Weinmann-Menke, Mohammed Alhaddad, Konstantinos Triantafyllias, Konstantinos Triantafyllias

“…To date, there is limited data on the optimal CV screening methods for individuals with ARDs, as conventional risk algorithms may underestimate the influence of chronic inflammation. …”
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Machine Learning and IoT-Based Solutions in Industrial Applications for Smart Manufacturing: A Critical Review by Paolo Visconti, Giuseppe Rausa, Carolina Del-Valle-Soto, Ramiro Velázquez, Donato Cafagna, Roberto De Fazio

“…This review article provides an up-to-date overview of IoT systems and machine learning (ML) algorithms applied to smart manufacturing (SM), analyzing four main application fields: security, predictive maintenance, process control, and additive manufacturing. …”
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Chemoreactome prediction of anti-inflammatory, analgesic, ulcerogenic effects of the candidate molecule N-allylimidazole-zinc in comparison with zinc derivatives of nonsteroidal an... by P. A. Galenko-Yaroshevsky, A. V. Sergeeva, I. Yu. Torshin, A. N. Gromov, I. A. Reyer, O. A. Gromova, B. A. Trofimov, L. N. Parshina, R. A. Murashko, A. V. Zadorozhniy, A. V. Zelenskaya, N. S. Sergeev, Yu. V. Tovkach, O. N. Gulevskaya, I. V. Sholl

“…The molecule may exhibit a protective effect on epithelial gastric mucosa and does not impair the properties of the stomach mucosal protective layer. …”
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Simultaneous Instance and Attribute Selection for Noise Filtering by Yenny Villuendas-Rey, Claudia C. Tusell-Rey, Oscar Camacho-Nieto

“…Removing or reducing noise can help classification algorithms focus on relevant patterns, preventing them from being affected by irrelevant or incorrect information. …”
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Metrology of Multicarrier-Based Delay-Doppler Channel Sounding for Sub-THz Frequencies by Jonas Gedschold, Diego Dupleich, Sebastian Semper, Michael Dobereiner, Alexander Ebert, Giovanni Del Galdo, Reiner S. Thoma

“…However, uncertainties arising from limitations of the sounding hardware and algorithms may greatly impact the comparability between sounding results. …”
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Breaks in the Arctic ice cover: from observations to predictions by A. A. Ershova, L. N. Dyment, T. A. Alekseeva

“…Processing of big volumes of satellite data and creating climatological datasets on breaks became possible owing to the development of algorithms for automatic identification of the ice breaks in images. …”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…The main problem of using standard optimization methods is the need to change all parameters in same-size steps, regardless of the behavior of the gradient. …”
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Analysis of Spatial Landmarks for Seamless Urban Navigation of Visually Impaired People by Min Wang, Aurelie Dommes, Valerie Renaudin, Ni Zhu

“…Data were analyzed by sensory modality, occurrence of use, and number of users. 14 main landmarks for urban navigation were selected and categorized into two groups: Waypoints and Reassurance Points, depending on whether they are directly detected by touch. …”
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Enhancing Automated Maneuvering Decisions in UCAV Air Combat Games Using Homotopy-Based Reinforcement Learning by Yiwen Zhu, Yuan Zheng, Wenya Wei, Zhou Fang

“…This technique gradually transitions from auxiliary tasks enriched with artificial rewards to the main task characterized by sparse rewards through homotopic paths. …”
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