Discovery and expansion of gene modules by seeking isolated groups in a random graph process. by Jochen Brumm, Elizabeth Conibear, Wyeth W Wasserman, Jennifer Bryan

“…Then, the observed gene-gene relationship ranks are viewed as the outcome of a random graph process and candidate modules are given by the identifiable subgraphs that arise during this process. …”
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Spectral feature modeling with graph signal processing for brain connectivity in autism spectrum disorder by Ayesha Jabbar, Huang Jianjun, Muhammad Kashif Jabbar, Khalil ur Rehman, Anas Bilal

“…To overcome these limitations, we propose a Graph Signal Processing (GSP)-based framework that integrates spectral-domain features with topological descriptors to model brain connectivity more comprehensively. …”
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Innovation in Manufacturing Within the Digital Intelligence Context: Examining Faultlines Through Information Processing by Kangli Zhang, Jinwei Zhu

“…As the cornerstone of decision-making, the information-processing capability of top management teams plays an essential role in driving organizational success. …”
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Optimisation of Aluminium Alloy Variable Diameter Tubes Hydroforming Process Based on Machine Learning by Yong Xu, Xuewei Zhang, Wenlong Xie, Shihong Zhang, Yaqiang Tian, Liansheng Chen

“…The model allows effective prediction of the hydroforming effect of aluminium alloy variable diameter tubes and improves the computational rate and model accuracy of the model. The same process parameters are experimentally verified, the minimum wall thickness of the formed part is 1.27 mm, the maximum wall thickness is 1.53 mm, and the maximum expansion height is 5.11 mm. …”
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Combustion Process of Coal–Açai Seed Mixtures in a Circulating Fluidized Bed Boiler by Gabriel C. P. Soares, João V. R. Moreira, Fernando H. B. Santos, Danielle R. S. Guerra, Manoel F. M. Nogueira

“…This study investigates the effects of the co-combustion of coal and açai seed in circulating fluidized bed (CFB) boilers, highlighting the increase in thermal efficiency and relevance of a less-polluting source of energy. Using the computer software 1.5D CeSFaMB™^® v4.3.0, simulations of the co-combustion process of coal and biomass were carried out in a CFB boiler, obtaining results such as the temperature profile, boiler efficiency and emissions. …”
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Artificial intelligence in healthcare text processing: a review applied to named entity recognition by Samuel Santana de Almeida, Raphael Silva Fontes, Luca Pareja Credidio Freire Alves, Methanias Colaço Júnior, Methanias Colaço Júnior, Methanias Colaço Júnior, Gleyson José Pinheiro Caldeira Silva, Lyane Ramalho Cortez, Antonio Higor Freire de Morais, Guilherme Medeiros Machado, Hugo Gonçalo Oliveira, Aliete Cunha-Oliveira, João Paulo Queiroz dos Santos, Ricardo Alexsandro de Medeiros Valentim

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Quantitative dynamics of neural uncertainty in sensory processing and decision-making during discriminative learning by Soonho Shin, Joonsu Oh, Sun Kwang Kim, Yong-Seok Lee, Sang Jeong Kim

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Simulation study on impact characteristics of RF microsystem based on bulk silicon MEMS process by Feng Zhengsen, Wang Lu, Zeng Yanping, Yang Bing, Qi Dong, Wang Zhihui, Zhang Rui

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Effective least squares approximation method for estimating the rhythm function of cyclic random process by Serhii Lupenko, Małgorzata Wiatr, Andrzej Metelski

“…Abstract The work is devoted to a problem of the rhythm function estimation of a cyclic random process, which is based on the least squares approximation methods instead of well-known interpolation approach. …”
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Extraction of magnesium and heavy non-ferrous metals from the tailings of the Kentau Processing Plant by Karatayeva Gulnara, Shevko Victor, Bitanova Gulvira, Polatova Karlygash

“…The article presents the results of studies using computer thermodynamic modeling for the extraction of magnesium and heavy non-ferrous metals into the gas phase from the tailings of the Kentau processing plant using the HSC-5.11 Chemistry software package. …”
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Exploring the potential processes controlling changes in precipitation–runoff relationships in non-stationary environments by T. Lan, T. Lan, T. Lan, T. Lan, T. Lan, T. Li, H. Zhang, H. Zhang, H. Zhang, J. Wu, J. Wu, J. Wu, Y. D. Chen, Y. D. Chen, C.-Y. Xu

“…Anthropogenic influences, represented by impervious surface ratio (ISR), night-time light (NTL), and population density (POP), exhibit varying driving levels, with ISR having the strongest and most direct impact, closely linked to urbanization processes and scales. The temporal dynamics of driving factors computed by dynamic DPRR generally correspond with hydrological regime shifts in non-stationary environments. …”
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Signal Processing in Passive Radar Systems Using 5G: A Simulation Study by Van Tuan Nguyen, V. M. Kutuzov, E. N. Vorobev

“…The calculation of the cross-ambiguity function of the passive radar using the 5G signal was carried out by computer simulation.Results. The conducted simulation of the signal processing process in different scenarios found that passive radar using a 5G signal is capable of detecting targets with good resolution in terms of both range and velocity.Conclusion. …”
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Automated Detection and Classification of Sleep Spindles using Machine Learning and Signal Processing Techniques by Sindhu Faiza, Rehman Hafiz Zia Ur, Khan Zeashan, Moshayedi Ata Jahangir

“…This study aims to classify and automate the detection of sleep spindles from raw physiological signals using computational methods and AI. While global efforts are underway to accurately detect sleep spindles using AI, most involve classical signal processing techniques like wavelet transforms and STFT. …”
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Study of Ignition Process in an Aero Engine Combustor Based on Droplet Evaporation Characteristics Analyses by Lei Sun, Rui Feng, Fangliang Wang, Xiwei Wang

“…To study the coupling mechanism between droplet evaporation characteristics and flame propagation, in this paper, the ignition process in a single dome lean direct injection combustor is simulated by the Large Eddy Simulation (LES) method. …”
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ResNet-based image processing approach for precise detection of cracks in photovoltaic panels by Montaser Abdelsattar, Ahmed AbdelMoety, Ahmed Emad-Eldeen

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Modeling the Processes of How to Overcome Students’ Cognitive Overload if There is an Excessive Amount of the Material to Study by Olga Korchazhkina

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Research on Fine-Tuning Optimization Strategies for Large Language Models in Tabular Data Processing by Xiaoyong Zhao, Xingxin Leng, Lei Wang, Ningning Wang

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Comparative Retreatment Efficacy of Two Multi-File Systems with Different Access Cavity Designs: A Micro-Computed Tomography Study by Emine Odabaşı Tezer, Dilan Kırmızı, Mohamad Abduljalil, Fatma Basmacı, Arda Buyuksungur, Meltem Dartar Öztan

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Dynamic Surrogate Optimization of Vertically Stacked Nanosheet FET Based on Gaussian Process Regression by Christofer N. Yalung, Doldet Tantraviwat

“…The design of vertically stacked n-type and p-type nanosheet FETs (NSFETs) was applied using a dynamic surrogate optimization-gaussian process regression (DSO-GPR) with batch assessment and halting conditions. …”
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NEW ORGANIZATION PROCESS OF FEATURE SELECTION BY FILTER WITH CORRELATION-BASED FEATURES SELECTION METHOD by Olga Solovei

“…The goal of the work is to increase the efficiency of feature selection by Filter with CFS by proposing a new organization process of feature selection. The tasks which are solved in the article: review and analysis of the existing organization process of feature selections by Filter with CFS; identify the routs cause the performance degradation; propose a new approach; evaluate the proposed approach. …”
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