Development of the intelligent traffic light system based on image processing and fuzzy control techniques by Hoang Dung Nguyen, Hoang-Dang Le, Van Khanh Nguyen, Hung Minh Lam

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Fuzzy Inference System for Modeling the Contribution of the Sweep Mechanism in the Coagulation Process for Water Treatment by D. G. Marques, G. Gomes, J. V. L. Cardoso, L. H. F. Aiello, S. R. M. M. Roveda, J. A. F. Roveda, V. Campos

“…A Fuzzy Inference System (FIS) is an effective tool for handling uncertainties and is often used for simplified process modeling. In this study, a FIS was developed to estimate the contribution of the sweep mechanism using zeta potential, insoluble aluminum content, and turbidity removal as inputs. …”
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The use of frequency dictionaries in the process of the development of the English language lexical competence of students in IT fields by M. V. Kharina

“…The vocabulary is rapidly updated in the field of IT, for these reasons, in the process of development of the lexical competence of IT students it was decided to maintain their own frequency dictionaries of actual computer vocabulary, extracted from a wide range of the English language texts in IT sphere. …”
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Improved Dynamic Correction for Seismic Data Processing: Mitigating the Stretch Effect in NMO Correction by Pedro Cortes-Guerrero, Carlos Ortiz-Alemán, Jaime Urrutia-Fucugauchi, Sebastian Lopez-Juarez, Mauricio Gabriel Orozco-del Castillo, Mauricio Nava-Flores

“…These improvements have substantial implications for high-resolution subsurface imaging and precise reservoir characterization.This work offers a robust and computationally efficient solution to a longstanding limitation in seismic processing, advancing the reliability of exploration in geologically complex environments.…”
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Practices and Considerations in Wind Data Processing for Accurate and Efficient Wind Farm Energy Calculation by Angel Gaspar Gonzalez-Rodriguez, Jose Manuel Riega-Medina, Ildefonso Ruano-Ruano, Jose Vicente Muñoz-Diez

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Investigation of the Nuclear Cross-Sections for Proton Capture Reactionsin the Star Formation Process of the Galaxies by Rabab Muzhir J., Al Najm M. N.

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A Simple Image Encryption Based on Binary Image Affine Transformation and Zigzag Process by Adélaïde Nicole Kengnou Telem, Cyrille Feudjio, Balamurali Ramakrishnan, Hilaire Bertrand Fotsin, Karthikeyan Rajagopal

“…The two keys are combined to compute the substitution-diffusion keys. The zigzag process is firstly applied on each binary image. …”
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Automatic Determination of Parting Line Locations for Sand-Casting Process Using CAD System by Tama Reza Setiawan Putra, Fariz Muharram Hasby, Isa Setiasyah Toha, Wisnu Aribowo

“…The use of Computer Aided Design (CAD) technology is now playing an increasingly important role in determining the location of parting lines on cast objects. …”
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Numerical simulation of humidification process by spray evaporation under different air pressure and temperature by Wang Lu, Kong Mingjuan, Xiao Rong, Yan Zheng, Wei Gang, Wang Zhaohui, Bai Wei, Song Jianjun

“…To effectively solve this problem, it is necessary to humidify the dry compressed air before feeding the liquid. By utilizing computational fluid dynamics software FLUENT, this study employs the Discrete Phase Model (DPM) to depict the trajectory of spray particles and investigates the effects of structural parameters and operational variables such as inlet air temperature, inlet pressure, and spray volume on the humidification process. …”
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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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A review on physics-informed machine learning for monitoring metal additive manufacturing process by Shoulan Yang, Shitong Peng, Jianan Guo, Fengtao Wang

“…To refrain from the inherent “black box” or inefficiency of AM process prediction or monitoring, this paper discusses the pros and cons of traditional data driven methods and pure physics models and further elaborates on the principles and architecture of the PINN model along with its applications in AM research. …”
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Nutrient intake variability induced by processing of food diary data: A pilot study by Tamara PUŠ, Ksenija PODGRAJŠEK, Marjan SIMČIČ

“…Evaluation of food diary is a complicated process, involving choosing the appropriate nutritional database and having well qualified personnel (coders) to work with it. …”
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Development of a Neural Network Structure for Identifying Begin-end Points in the Assembly Process by Izabela Kutschenreiter-Praszkiewicz

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Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques by Filippo Laganà, Danilo Pratticò, Giovanni Angiulli, Giuseppe Oliva, Salvatore A. Pullano, Mario Versaci, Fabio La Foresta

“…This article proposes an integrated hardware–software system designed for the acquisition, processing, and analysis of surface electromyographic (sEMG) signals. …”
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Solid pseudopapillary tumor of the uncinate process of the pancreas in a 9-year-old child by Dmitriy A. Pyhteev, Yuriy Yu. Sokolov, Leonid M. Elin, Yuriy N. Filyushkin, Marina O. Elina, Roman A. Akhmatov

“…The most informative methods of examination are computed tomography (CT) and magnetic resonance imaging (MRI). …”
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A novel simultaneous monitoring method for surface roughness and tool wear in milling process by Ruilin Liu, Wenwen Tian

“…Surface roughness is an important technical indicator to measure the surface quality of parts. In the cutting process, tool wear is directly related to the dynamic change of the surface roughness and the machining efficiency. …”
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Grading Traditional Exams Using Image Processing Techniques and the Word Similarity Weights Algorithm by Yahya Gedik, Serdar Solak, Mustafa Hikmet Bilgehan Uçar

“…Educational institutions have started to support their computer-aided trainings with online and offline platforms. …”
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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

“…Due to the benefit of CPFE, it has been widely utilised to analyse processes such as manufacturing, damage, and deformation where the microstructure plays a prominent role. …”
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System Proposal for Supervision of Critical Adverse Processes in Patients with Implanted Ventricular Assist Devices by José R. C. Sousa Sobrinho, Marcosiris A. O. Pessoa, Fabrício Junqueira, Paulo E. Miyagi, Diolino J. Santos Filho

“…Therefore, the medical team will be able to monitor adverse processes, as the models in interpreted PN can be isomorphically transcribed into computable algorithms that can be processed on compatible devices, enabling the tracking of complications caused by adverse processes.…”
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Integrating Natural Language Processing with 4D BIM: A Review and Thematic Synthesis by Mohamed ElSaadany, Ibrahim Motawa, Asser El Sheikh

“…This paper explores the integration of Natural Language Processing (NLP) and 4D Building Information Modeling (BIM). …”
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