Securing top-k query processing in two-tiered sensor networks by Xiaoyan Kui, Jiannan Feng, Xinran Zhou, Huakun Du, Xia Deng, Ping Zhong, Xingpo Ma

“…Due to the limited resources and computing capability of the sensor nodes, it is challenging to simultaneously satisfy these two matrices for top-k querying in two-tiered sensor networks. …”
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Central Auditory Processing Disorder in Patients with Amnestic Mild Cognitive Impairment by Ga-Young Kim, HyangHee Kim, Hee Jin Kim, Sang Won Seo, Duk L. Na, Chung Mo Nam, Byoung Seok Ye, Il Joon Moon

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The role of generative AI in improving the sustainability and efficiency of HR recruitment process by Réka Koteczki, Dániel Csikor, Boglárka Eisinger Balassa

“…Abstract Generative artificial intelligence (GAI) is becoming increasingly important in business processes, including human resource management. GAI can offer the potential to automate repetitive tasks in recruitment processes, optimise decision making, and reduce administrative burdens. …”
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An Optimal Distillation Process for Turpentine Separation Using a Firefly Algorithm by Gustavo Mendes Platt, Otávio Knevitz de Azevedo, Francisco Bruno Souza Oliveira

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Automation of design of documents set of technological processes in foundry production at Minsk Tractor plant by V. M. Shutko, E. F. Volkova

“…А computer-aided design of а set of documents of technological processes in foundry production is examined.…”
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Method of Monitoring Correctness of Execution of Processes in Operating Systems by Control of Dimensional Systems of Variables by Vladimir Abramov, Danila Puchkin

“…This method allows you to detect disruptions of the calculations performing by the process after execution of an incorrect computational command. …”
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An AI‐Enabled Data Processing Pipeline for Ingesting Borehole Data in Peridotite Environments by John M. Aiken, Elliot Dufornet, Hamed Amiri, Lotta Ternieten, Oliver Plümper

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Evaluation of Bunsen Reaction Kinetics in Iodine-sulfur Thermochemical Process for Hydrogen Production by Nafees Ahmed Vakil, Shriniwas A Rao

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Process‐Based Machine Learning Observationally Constrains Future Regional Warming Projections by Sophie Wilkinson, Peer Nowack, Manoj Joshi

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Unveiling Approximate Analytical Solutions for Fractional-Order Partial Differential Equations in Physical Processes by Hegagi Mohamed Ali, Essam M. Elsaid, Azza M. Algatheem, Mohamed R. Eid, Ismail Gad Ameen

“…While these equations are fundamental for comprehending stochastic processes and nonlinear wave propagation, they remain analytically intractable using standard techniques. …”
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Peculiarities of the melting-solidification processes by sinking of the melting blocks into high-temperature corium melt by Ali Kalvand, I. V. Kazachkov

“…Mathematical modeling of the corium melt coolability with the low-temperature melting blocks is a subject of the paper, focusing on the methodology of modeling. The results of a computer simulation and conclusions concerning the features of the process studied are presented. …”
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A Multimodal Neurophysiological Approach to Evaluate Educational Contents in Terms of Cognitive Processes and Engagement by Vincenzo Ronca, Pietro Aricò, Luca Tamborra, Antonia Biagi, Gianluca Di Flumeri

“…Key neurophysiological metrics, such as engagement and Human Distraction Index (HDI), were computed and compared across conditions. Results: Our findings indicate that video-based learning materials, particularly educational videos with visual enhancements, elicited higher engagement and lower cognitive load compared to text-based learning. …”
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Convergence of Infinite Family of Multivalued Quasi-Nonexpansive Mappings Using Multistep Iterative Processes by Renu Chugh, Sanjay Kumar

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Systemic correction of osteoporosis of the alveolar processes of the jaw in complex treatment of patients with generalized periodontitis by K.E. Pechkovskyi, M.M. Kolotilov, I.M. Pechkovska, T.O. Timokhina

“…Before onset of treatment and 6 months after the complex treatment the level of vitamin D and melatonin level was measured and examined for osteoporosis using a cone-beam computed tomography. In order to give a qualitative and quantitative assessment of the state of mineralization of the spongy and compact bone tissue of the alveolar processes of the jaws histographic analysis of computed tomography was used. 55 patients in addition to traditional local treatment were added vitamin D intake of 4000 IU/d with meals and melatonin intake of 1.5 mg at bedtime for 1 month. …”
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Complexity Mechanisms for Interaction to Foster Digital Innovation Processes: A Multiple Case Study by Yomn Elmistikawy, Jennie Gelter

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Recent Advances in In Situ 3D Surface Topographical Monitoring for Additive Manufacturing Processes by Vignesh Suresh, Badrinath Balasubramaniam, Li-Hsin Yeh, Beiwen Li

“…Additive manufacturing (AM) has revolutionized production across industries, yet persistent challenges in defect detection and process reliability necessitate advanced in situ monitoring solutions. …”
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Subsurface mechanical architecture of coronae on Venus and its implications for processes governing fractures and seismicity by Barbara De Toffoli, Francesco Mazzarini

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Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set by Jinna Li, Yuan Li, Haibin Yu, Yanhong Xie, Cheng Zhang

“…A novel fault detection technique is proposed to explicitly account for the nonlinear, dynamic, and multimodal problems existed in the practical and complex dynamic processes. Just-in-time (JIT) detection method and k-nearest neighbor (KNN) rule-based statistical process control (SPC) approach are integrated to construct a flexible and adaptive detection scheme for the control process with nonlinear, dynamic, and multimodal cases. …”
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Numerical Simulations of Thermodynamic Processes in the Chamber of a Liquid Piston Compressor for Hydrogen Applications by Valerijs Bezrukovs, Vladislavs Bezrukovs, Marina Konuhova, Deniss Bezrukovs, Imants Kaldre, Anatoli I. Popov

“…This paper presents the results of numerical simulations examining the thermodynamic processes during hydraulic hydrogen compression, using COMSOL Multiphysics^® 6.0. …”
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Productive automation of calibration processes for crystal plasticity model parameters via reinforcement learning by Jonghwan Lee, Burcu Tasdemir, Suchandrima Das, Michael Martin, David Knowles, Mahmoud Mostafavi

“…However, this method is computationally expensive and requires the robust calibration of its parameters, which can be many. …”
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