SurfaceVision: An Automated Module for Surface Fault Detection in 3D Printed Products by Laukesh Kumar, Manoj Kumar Satyarthi

“…The traditional method currently requires visual information processing devices or continuous monitoring of the process via a camera, which is very resource consuming and costly. …”
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Dynamic Algorithm for Mining Relevant Association Rules via Meta-Patterns and Refinement-Based Measures by Houda Essalmi, Anass El Affar

“…The mining of relevant association rules from transactional databases is a fundamental process in data mining. Traditional algorithms, however, will typically be based on fixed thresholds and general rule generation, with the result being large and redundant outcomes. …”
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A Method Adjusting Consistency and Consensus for Group Decision-Making Problems with Hesitant Fuzzy Linguistic Preference Relations Based on Discrete Fuzzy Numbers by Meng Zhao, Ting Liu, Jia Su, Meng-Ying Liu

“…Further, in order to achieve the predefined degree of consensus and to arrive at the final result, a consensus-reaching process based on the interactive feedback mechanism is defined. …”
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EXPERIENCE WITH DIASKINTEST IN THE REPUBLIC OF TATARSTAN by A. P. Alekseev, R. Kh. Fatykhova

“…However, the problem in the assessment of the activity of a tuberculous process remains in children with found minor calcinates in the intrathoracic lymph nodes because positive reactions to DST are also recorded in cases without clinical and X-ray signs of the activity of a tuberculous process.DST promotes the optimization of diagnosis of latent tuberculosis infection in children, allows identification of a group of children at the highest risk for tuberculosis among the persons with monotonous tuberculin tests, and contributes to the detection of minor tuberculosis forms.Transition to the screening of schoolchildren (over 8 years of age) and adolescents, by applying DST, makes it possible to improve the quality of diagnosis of tuberculosis infection and may be recommended for introduction in the Republic of Tatarstan as a whole.…”
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A stable biologically motivated learning mechanism for visual feature extraction to handle facial categorization. by Karim Rajaei, Seyed-Mahdi Khaligh-Razavi, Masoud Ghodrati, Reza Ebrahimpour, Mohammad Ebrahim Shiri Ahmad Abadi

“…To address the synaptic stability versus plasticity dilemma, we apply the Adaptive Resonance Theory (ART) for extracting informative intermediate level visual features during the learning process, which also makes this model stable against the destruction of previously learned information while learning new information. …”
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The role of AI and digital technologies in higher education by Alla F. Matuszak, Olga Yu. Pavlova, Ludmila S. Nosova, Leyla F. Velieva, Irina M. Salimova

“…In addition, an analysis of scientific literature was applied to compile a list of technologies, a comparative analysis was used to compare the answers of the subjects, and the method of interview was applied to determine the reasons for the technology ratings compiled by the participants in the educational process. Results. The preferences of students and teachers generally coincide, which is an indicator of good contact between the participants in the educational process. …”
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New Phase Space Calculations for β-Decay Half-Lives by Sabin Stoica, Mihail Mirea, Ovidiu Niţescu, Jameel-Un Nabi, Mavra Ishfaq

“…We revisit the computation of the phase space factors (PSF) involved in the positron decay and EC processes for a large number of nuclei of experimental interest. …”
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Advances in whole genome sequencing for foodborne pathogens: implications for clinical infectious disease surveillance and public health by Emílio Gomes, Emílio Gomes, Emílio Gomes, Daniela Araújo, Daniela Araújo, Teresa Nogueira, Teresa Nogueira, Ricardo Oliveira, Ricardo Oliveira, Ricardo Oliveira, Sónia Silva, Sónia Silva, Lorena V. N. Oliveira, Nuno F. Azevedo, Nuno F. Azevedo, Carina Almeida, Carina Almeida, Carina Almeida, Carina Almeida, Joana Castro, Joana Castro

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Numerical analysis of crack evolution in PVD-deposited TiN-coated steel sheets under loading conditions by Perzynski Konrad, Madej Lukasz

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A Systematic Model of an Adaptive Teaching, Learning and Assessment Environment Designed Using Genetic Algorithms by Doru Anastasiu Popescu, Nicolae Bold, Michail Stefanidakis

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AbstractTrace: The Use of Execution Traces to Cluster, Classify, Prioritize, and Optimize a Bloated Test Suite by Ziad A. Al-Sharif, Clinton L. Jeffery

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A Systematic Survey on Large Language Models for Code Generation by Sardar K. Jabrw, Qusay I. Sarhan

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Optimization Algorithm of Neural Network Structure Based on Adaptive Genetic Algorithm by XILiang, WANGRui dong

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Neural Network-Based Projective Grid Model for Learning Representation of Surface and Wave Foams by Jong-Hyun Kim

“…In 3D fluid simulations, foam is one of the most representative secondary effects in water. Consequently, the processes of foam generation, advection, and dissolution are computationally expensive. …”
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Healthcare Operation Improvement Based on Simulation of Cooperative Resource Preservation Nets for None-Consumable Resources by Soraia Oueida, Yehia Kotb, Seifedine Kadry, Sorin Ionescu

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Implementation of Scrum Framework Agile Method to Develop Integrated Asset Management Information System at Universitas Diponegoro Inventory Module by Fauzan Abiyyu Dzaky, Defri Kurniawan

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A Note on the Waiting-Time Distribution in an Infinite-Buffer GI[X]/C-MSP/1 Queueing System by A. D. Banik, M. L. Chaudhry, James J. Kim

“…The interbatch arrival times are generally distributed and arrivals are occurring in batches of random size. The service process is correlated and its structure is presented through a continuous-time Markovian service process (C-MSP). …”
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A novel unsupervised fine-tuning method for text summarization, and highlighting the limitations of ROUGE score by Ala Alam Falaki, Robin Gras

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A wireless power supply EMI suppression method in implantable optogenetic circuits by Ji Yanping, Li Jiawei, Chai Donglin, Zhao Boyan, Zhao Yanran, Wang Shirui, Wang Wensi, Zheng Mengyi

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A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed Resources by Nikolaos Savvopoulos, Nikos Hatziargyriou, Hannu Laaksonen

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