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Journal articles on the topic 'Advanced Productive Modeling'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Feller, Juan, Alejandro F. Mac Cawley, Jorge A. Ramos-Grez, and Iván La Fé-Perdomo. "Determining optimal laser-beam cutting equipment investment through a robust optimization modeling approach." PLOS ONE 16, no. 7 (2021): e0254893. http://dx.doi.org/10.1371/journal.pone.0254893.

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The acquisition of Advanced Manufacturing Technologies (AMT), such as high-power fiber or CO2 laser cutting equipment, generally involves high investment levels. Its payback period is usually more extended, and there is a moderate-to-high risk involved in adopting these technologies. In this work, we present a robust model that optimizes equipment investing decisions, considers the process’s technical constraint and finds an optimal production plan based on the available machinery. We propose a linear investment model based on historical demand information and take physical process parameters

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Harper, Christofer M., Daniel Tran, and Edward Jaselskis. "Implementation of Visualization and Modeling Technologies for Transportation Construction." Journal of Civil Engineering and Construction 11, no. 1 (2021): 29–40. http://dx.doi.org/10.32732/jcec.2022.11.1.29.

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State departments of transportation (DOTs) increasingly use visualization and modeling technologies for delivering transportation projects across the United States. Advanced and innovative technologies have the ability to improve various construction processes and tasks while making the construction process more efficient and productive. Visualization and modeling technologies, which include building information modeling for infrastructure, light detection and ranging, virtual reality, and augmented reality, are becoming more commonplace in transportation construction. Yet, the use of these te

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Ramirez-Guerrero, T., M. I. Hernández-Pérez, M. S. Tabares, and E. Villanueva. "Characterization of variables for modeling agroclimatic and phytosanitary events in agricultural crops using deep learning models." Journal of Physics: Conference Series 2515, no. 1 (2023): 012009. http://dx.doi.org/10.1088/1742-6596/2515/1/012009.

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Abstract Digital transformation is increasingly present in the agricultural sector thanks to the development and availability of information technologies. However, the agricultural sector is one of the least digitized worldwide, including in countries with highly competitive and technologically advanced agricultural chains and processes. To optimize production using technological tools, it is necessary to combine variables associated with soil, climate, and plant type to estimate crop yields. Therefore, it is important to identify the physical variables that are of interest for the modeling of

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Luo, Ming, HQ Fan, and Guiwen Liu. "Measuring regional differences of construction productive efficiency in China." Engineering, Construction and Architectural Management 27, no. 4 (2019): 952–74. http://dx.doi.org/10.1108/ecam-04-2019-0195.

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Purpose As one of the pillar sectors, China’s construction industry (CE) is not efficient in productivity with large regional gaps over the past decades. It is crucial for stakeholders to have insightful information on regional input of resources and output of productive efficiency for making policies and investment decisions. The purpose of this paper is to develop an efficiency measurement for the CE and explore the regional differences of construction productive efficiency across the three regions of China. Design/methodology/approach Data envelopment analysis (DEA) is an objective benchmar

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Swathi Reddy, M. "Predictive Modeling of Student Academic Outcomes Using Machine Learning." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49913.

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Abstract -Education is crucial for a productive life and providing necessary resources. With the advent of technology like artificial intelligence, higher education institutions are incorporating technology into traditional teaching methods. Predicting academic success has gained interest in education as a strong academic record improves a university’s ranking and increases student employment opportunities. Modern learning institutions face challenges in analyzing performance, providing high-quality education, formulating strategies for evaluating students’ performance, and identifying future

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CRAPO, ANDREW, and ABHA MOITRA. "TOWARD A UNIFIED ENGLISH-LIKE REPRESENTATION OF SEMANTIC MODELS, DATA, AND GRAPH PATTERNS FOR SUBJECT MATTER EXPERTS." International Journal of Semantic Computing 07, no. 03 (2013): 215–36. http://dx.doi.org/10.1142/s1793351x13500025.

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The Semantic Application Design Language (SADL) combines advances in standardized declarative modeling languages based on formal logic with advances in domain-specific language (DSL) development environments to create a controlled-English language that translates directly into the Web Ontology Language (OWL), the SPARQL graph query language, and a compatible if/then rule language. Models in the SADL language can be authored, tested, and maintained in an Eclipse-based integrated development environment (IDE). This environment offers semantic highlighting, statement completion, expression templa

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LYUBUSHIN, Nikolai P., Elena N. LETYAGINA, and Valentina I. PEROVA. "Studying the innovative development of regional economy as an imperative of sustainable socio-economic growth in Russia, using neural network modeling." Economic Analysis: Theory and Practice 20, no. 8 (2021): 1394–414. http://dx.doi.org/10.24891/ea.20.8.1394.

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Subject. The article deals with the innovative potential of Russian regions in light of the national goal of the Russian Federation development, reflecting decent and productive work. Objectives. The purpose is to study the innovation activity in Russian regions, using neural networks, to ensure breakthrough innovative development of the Russian economy. Methods. We employ a cluster analysis on the basis of neural network modeling, using information technologies. For the research, we selected neural networks (Kohonen self-organizing maps), which are focused on unsupervised learning and are a p

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Veliyev, G. O., S. A. Gasimova, E. T. Mirmehdiyeva, E. Ya Abbasov, and S. E. Kazimova. "On conditions of geodynamic tension and oil-gas bearing content of Garbi Absheron structure based on advanced models." Azerbaijan Oil Industry, no. 11 (November 15, 2021): 4–10. http://dx.doi.org/10.37474/0365-8554/2021-11-4-10.

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In the context of Garbi Absheron structure the significance of increase of accuracy for searching and exploration of oil-gas fields with the purpose of avoiding technological complications in the drilling considering conditions of geodynamic tension, as well as the necessity of the implementation of perfect methods of modeling based on the geophysical and seismological data in the specification of the site of drilled wells and operation of productive layer has been defined for the first time. Considering the results of facies analysis, as well as the petrophysical and geophysical logging data

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Wang, Pengsen. "Interwoven Lives: The Impact of Social Support and Behavioral Changes on Health Behaviors among the Chinese Residents." American Journal of Health Behavior 48, no. 4 (2024): 149–62. http://dx.doi.org/10.5993/ajhb.48.4.13.

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Objectives: It is found that there is a growing level of mortality among people with diabetic diseases. However, factors like social support and positive behavior change tend to play a substantial role in dealing with such mental worries. Methods: Based upon the given thoughts, this research examines the impact of social support and behavioral changes on health behavior in the form of diabetic health worries. For this purpose, the study will collect the sample using the survey questionnaire technique. A sample of 357 respondents has empirically been analyzed by applying advanced statistical te

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Noori, Ahmed Faris, and Farqad Hadi. "Geomechanical modeling and wellbore stability analysis for studying the shale rock failure." Iraqi Journal of Chemical and Petroleum Engineering 26, no. 1 (2025): 35–43. https://doi.org/10.31699/ijcpe.2025.1.4.

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Wellbore stability constitutes a critical challenge that can precipitate an escalation in non-productive time (NPT) during drilling operations, subsequently resulting in an increase in well expenditures and consequent revenue deficits. Shale formations exhibit a greater propensity than many geological formations to induce complications during the drilling process. Consequently, advanced geomechanical analyses were executed on select wells within the Zubair oilfield to clarify the fundamental causes of instability predominant in the field. In this study, the model was applied to two specific we

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Yablonskyi, Petro. "USING THE GEOMETRIC PARAMETERS OF THE COMBINED COULTER TO DETERMINE THE TRACTION RESISTANCE DURING THE DIRECT SOWING." APPLIED GEOMETRY AND ENGINEERING GRAPHICS, no. 103 (December 23, 2022): 209–17. https://doi.org/10.32347/0131-579x.2022.103.209-217.

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Further improvement of agricultural production is quite important for the national economy of our state in the current difficult period. One way to achieve this goal concerns the improvement of tillage implements. The use of computer-aided design, which cannot be imagined without geometric modeling tools, is effective for this. Therefore, the proper improvement of the quality of computer shaping of technical objects is an urgent scientific and applied problem.The generalization and integration of existing approaches in the field of machines and processes of agricultural production and structur

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De Vita, Mauro, Lieven Verschaffel, and Jan Elen. "The Power of Interactive Whiteboards for Secondary Mathematics Teaching: Two Case Studies." Journal of Educational Technology Systems 47, no. 1 (2018): 50–78. http://dx.doi.org/10.1177/0047239518767112.

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Interactive whiteboard offers a high-potential innovative tool in mathematical educational environments, in which teachers’ modeling processes and students’ exploring activities can easily be executed. Nevertheless, these affordances are not self-evident. There is a gap between the potential claims of the tool and its actual use in the classrooms. This study investigated, through two parallel case studies, the interactive whiteboard potential in view of optimizing the exploitation of the interactive whiteboard, improving conceptual understanding, and fostering interactivity in secondary mathem

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Chipil, Elena, and Tatiana Shamovskaya. "Psychological and Pedagogical Conditions of Intellectual Development in Preschoolers with Severe Speech Disorders." Bulletin of Kemerovo State University. Series: Humanities and Social Sciences 2019, no. 4 (2019): 341–47. http://dx.doi.org/10.21603/2542-1840-2019-3-4-341-347.

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The research featured peculiarities of the intellectual development of children with severe speech disorders. A set of experiments showed that such children have systemic underdevelopment of verbal and non-verbal functions. The empirical part of the research was based on two methods: a color version of Raven's Advanced Progressive Matrices Test and Wechsler’s Pre-School & Primary Scale of Intelligence in M. N. Ilyina’s adaptation. The data were analyzed with the help of statistical methods. The article focuses on the system of psychological and pedagogical conditions of the intellectual de

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Obianefo, Chukwujekwu A., John N. Ng’ombe, Agness Mzyece, Blessing Masasi, Ngozi J. Obiekwe, and Oluchi O. Anumudu. "Technical Efficiency and Technological Gaps of Rice Production in Anambra State, Nigeria." Agriculture 11, no. 12 (2021): 1240. http://dx.doi.org/10.3390/agriculture11121240.

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The traditional approach to modeling productive efficiency assumes that technology is constant across the sample. However, farms in different regions may face different production opportunities, and the technologies they employ may differ due to environmental factors. Therefore, rather than using a traditional stochastic frontier model in such cases, a stochastic meta-frontier (SMF) analysis is recommended to account for environmental factors between regions. It follows that differences in environmental factors between the upland and lowland regions in Anambra State, Nigeria, may result in far

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Kate Aigbaifie Iwe, Daniel Edet Isong, Gideon Oluseyi Daramola, and Mercy Odochi Agho. "Sustainable Pore Pressure Prediction and its Impact on Geo-mechanical Modelling for Enhanced Drilling Operations." World Journal of Advanced Research and Reviews 12, no. 1 (2021): 540–57. https://doi.org/10.30574/wjarr.2021.12.1.0536.

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Sustainable pore pressure prediction plays a pivotal role in optimizing geomechanical modeling, significantly enhancing drilling operations' efficiency and safety. The accurate estimation of pore pressure is crucial in identifying safe drilling windows, mitigating formation collapse, and avoiding blowouts. Traditional prediction methods often rely on static geological data, which may fail to capture dynamic reservoir behaviors, leading to operational risks. In contrast, integrating advanced computational techniques, real-time data analytics, and sustainable practices revolutionizes pore pressu

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Crisan, Andrei, Massimiliano Pepe, Domenica Costantino, and Sorin Herban. "From 3D Point Cloud to an Intelligent Model Set for Cultural Heritage Conservation." Heritage 7, no. 3 (2024): 1419–37. http://dx.doi.org/10.3390/heritage7030068.

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Cultural heritage conservation demands interdisciplinary and complex documentation and analysis while facing increasing pressure to adopt sustainable and productive practices. This paper bridges these gaps by proposing a methodology and a set of requirements for Building Information Modeling (BIM) models aligned with European directives for sustainability and productivity in the Architecture, Engineering, and Construction (AEC) sector. Leveraging 3D scanning and intelligent models, we establish information needs specific to conservation, encompassing material properties, historical data, and d

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Toksanov, N. N., R. B. Abuev, B. B. Tastanov, A. O. Suleymenova, and B. T. Umraliyev. "Modern approaches to managing uncertainty in horizontal well drilling: a case study from the remote drilling support service of KMG Engineering LLP." Kazakhstan journal for oil & gas industry 7, no. 2 (2025): 9–20. https://doi.org/10.54859/kjogi108806.

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Background: Horizontal well drilling in geologically complex environments is inherently uncertain. These uncertainties stem from variability in formation properties, structural discontinuities, and limitations in data interpretation. Reaching project targets effectively requires the adoption of modern uncertainty management techniques. Aim: First, analyze and summarize the practical experience of KMG Engineering’s Remote Drilling Support Service in managing uncertainty during horizontal well drilling; and second, demonstrate how an integrated approach can improve the reliability and cost-effec

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Krezel, Adam Z., Norhaslinda Osman-Schlegel, and M. Reza Hosseini. "TOWARDS INTEGRATION OF BIM INTO CONSTRUCTION MANAGEMENT CURRICULUM LEARNING ACTIVITIES." Czech Journal of Civil Engineering 2, no. 2 (2016): 70–78. http://dx.doi.org/10.51704/cjce.2016.vol2.iss2.pp70-78.

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The utilization of Information and Communication Technology (ICT) by the construction industry and transformations in work practices, such as implementation of Integrated Project Delivery (IPD), have proven to increase construction productivity and efficiency in the delivery of building projects. The education of the construction professionals has now instigated the use of highly collaborative teaching methods reinforced by extreme utilization of ICT to increase the efficiency of information distribution and knowledge development. Building Information Modeling (BIM) methodology, which integrat

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Le Petit-Guerin, Mehdi. "African youth and employment employment : the promise of a better tomorrow ?" Revue de droit comparé du travail et de la sécurité sociale 4 (2024): 152–69. https://doi.org/10.4000/12z6y.

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Candidates for the « demographic dividend » for years, many African countries are betting on the productive potential of young people to boost their economies. The main strategy for these countries has been to seek to compensate for a chronic deficit in human capital by drawing inspiration from the growth trajectories of advanced economies. Despite progress made in education, this strategy has proven limited, with young people remaining overexposed to the most precarious professional situations. The intrinsic fragility of these economies, coupled with recent financial, social, health, and envi

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Kalisiak, Angela, Lyn A. Glenn, and Mark Weinmeister. "Extended impact of an embedded palliative care program in a community cancer center." Journal of Clinical Oncology 32, no. 31_suppl (2014): 24. http://dx.doi.org/10.1200/jco.2014.32.31_suppl.24.

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24 Background: High-level evidence has demonstrated that earlier palliative care (PC) improves outcomes for patients with advanced cancers, but a limited PC workforce and lack of outpatient resources remain barriers to access. In 2010, a productive intersection of oncologist-driven response to new evidence and Providence Cancer Center assessment of end of life care quality metrics resulted in funding of an outpatient Oncology Palliative Care Program (OPCP). An initial NP/LCSW team began concurrent PC for advanced lung and pancreas carcinoma patients in a specialty clinic setting in 2011. Scope

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Arredondo-Soto, Karina Cecilia, Jean Paul Serrano-Manrrique, Julio Blanco-Fernandez, Guadalupe Hernández-Escobedo, Marco Augusto Miranda-Ackerman, and Jorge Luis García-Alcaraz. "Modeling of the Factors of Higher Education Institutions (HEIs) Influencing the Strategic Linking Decisions with the Industrial Sector: Whole-Institution Approach." Sustainability 12, no. 8 (2020): 3089. http://dx.doi.org/10.3390/su12083089.

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Higher Education Institutions (HEIs) are dedicated to the professionalization of human capital; to accomplish this, the link with the productive sector is an active component that must be strengthened through formal mechanisms. The purpose of this paper is to estimate the relationships and effects from the Institutional Framework (IF), as well as from the independent variables in the context of linking HEI with the industrial sector. Survey data were collected from 47 HEIs in the Northwest of Mexico; a mixed research approach was applied and analyzed through the partial least-squares structura

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Li, Yang, Zeshui Xu, Xinxin Wang, and Florin Gheorghe Filip. "Studies in Informatics and Control: A Bibliometric Analysis from 2008 to 2019." International Journal of Computers Communications & Control 14, no. 6 (2019): 633–52. http://dx.doi.org/10.15837/ijccc.2019.6.3753.

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As an international scientific journal, Studies in Informatics and Control (SIC ) covers the field of Information Technology (IT) and topics related to research areas, as well as important applications in IT, with particular emphasis on Advanced Automatic Control, Modeling and Optimization. SIC has greatly contributed to the areas where it involves since its first online publication way back in 1992. This paper sets out to analyze the structure and the underlying trend of the journal by making use of bibliometric methods. Firstly, the classical indicators are provided to illustrate the perform

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Putri, Indri Mariska, Destania Putri Ramadhani, Pifin Indriyani, Elsa Nur Aidah, and Afifah Putri Cahyani. "Predictive Analytics in Attendance Systems for Employee Productivity and Accountability." International Transactions on Education Technology (ITEE) 3, no. 2 (2025): 104–13. https://doi.org/10.33050/itee.v3i2.718.

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The integration of predictive analytics in attendance systems is becoming a critical approach to improving employee productivity and accountability. However, its impact on technology readiness, employee engagement, and attendance regularity remains underexplored, particularly in educational and professional settings. This study aims to evaluate how Predictive Analytics Utilization (PAU) influences Technology Readiness (TR) and Employee Engagement (EE), and how these variables contribute to Attendance Regularity (AR) and overall employee satisfaction. A quantitative approach was employed using

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Adem, Hamdia Murad, Abel Worku Tessema, and Gizeaddis Lamesgin Simegn. "Classification of Parkinson’s Disease Using EMG Signals from Different Upper Limb Movements Based on Multiclass Support Vector Machine." International Journal Bioautomation 26, no. 1 (2022): 109–25. http://dx.doi.org/10.7546/ijba.2022.26.1.000849.

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Parkinson’s disease (PD) is the second most common neurodegenerative disease that affects a wide range of productive individuals worldwide. The common approach to diagnose PD is through clinical assessment of the patient, which is highly subjective and time consuming. Electromyography (EMG) can be taken as a cheap way of PD diagnosis. However, highly experienced experts are required to interpret the signals. The manual procedures are complex, time-consuming, and prone to error resulting in misdiagnosis. In this research, an automatic system for detection and classification of PD stages using E

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Zhou, Qiongyang, Tianyu Zhao, Kaidi Feng, Rui Gong, Yuhui Wang, and Huijun Yang. "Artificial intelligence in acupuncture: A bibliometric study." Mathematical Biosciences and Engineering 20, no. 6 (2023): 11367–78. http://dx.doi.org/10.3934/mbe.2023504.

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<abstract> <p>This study aimed to provide a panorama of artificial intelligence (AI) in acupuncture by characterizing and visualizing the knowledge structure, hotspots and trends in global scientific publications. Publications were extracted from the Web of Science. Analyses on the number of publications, countries, institutions, authors, co-authorship, co-citation and co-occurrence were conducted. The USA had the highest volume of publications. Harvard University had the most publications among institutions. Dey P was the most productive author, while lczkowski KA was the most ref

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Nath, Aditya S. "A Review of Advancements in Robotic and Sensor-based Technologies in Construction Sector." European Journal of Engineering and Technology Research 7, no. 1 (2022): 85–89. http://dx.doi.org/10.24018/ejeng.2022.7.1.2624.

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The study explores recent innovations in robotic and sensor-based technologies that are spearheading advancements in the construction sector to achieve improvements in construction quality, efficiency, and safety. Automation in construction, although coined as a concept in 1980s, has witnessed minimal progress in the level of application. The study attempts to identify issues constraining adoption of automation in the sector, the recent developments in technologies and their scope in construction, their applications and impacts, and way forward. The role of robotics in various stages of constr

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Pasichnyi, Mykola. "Fiscal policy and economic development." University Economic Bulletin, no. 44 (February 12, 2020): 153–64. http://dx.doi.org/10.31470/2306-546x-2020-44-153-164.

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The research subject includes the theoretical basis and mechanisms of fiscal policy formation and realization as an instrument of economic development regulation. The aim of the study is to improve the theoretical and methodological basis of fiscal policy formation and determine the peculiarities of its impact on economic development. Methods. In order to achieve the appropriate tasks, we used a set of methods and approaches, that helped to ensure the conceptual unity of our investigation. The dialectical, systemic and structural approaches, methods of analysis and synthesis, comparison, gener

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Chen, Xinglin, Fuqiang Yang, Shuo Cheng, and Shuaiqi Yuan. "Occupational Health and Safety in China: A Systematic Analysis of Research Trends and Future Perspectives." Sustainability 15, no. 19 (2023): 14061. http://dx.doi.org/10.3390/su151914061.

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The frequent occurrence of various occupational accidents has resulted in significant casualties and occupational disease issues, which hinder economic and social development seriously. The promotion and enhancement of occupational health and safety (OHS) require greater efforts to be made to achieve sustainable economic development, particularly in developing countries. With remarkable progress and achievements that have been made in terms of OHS in China, a systematic and thorough review is needed to gain insight into the development process, current status, and research trends regarding OHS

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Rahman, F., and Kapesh Subhash Raghatate. "Smart Agriculture: Predicting Diseases in olive using Deep Learning Algorithms." SHS Web of Conferences 216 (2025): 01009. https://doi.org/10.1051/shsconf/202521601009.

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The olive industry is both economically and culinary important, and there are numerous diseases threatening it. Typically, manual inspections and lab analyses for detecting and managing disease in olive cultivation are time consuming and subject to delay. In this study, olive tree diseases are managed by improving prediction and management using a deep learning algorithm, with the aim of efficiency and accuracy of the process. Utilizing a large number of olive leaf image data and corresponding environment factors, we developed and evaluated Convolutional Neural Networks (CNNs) and Long Short T

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Altan, Taylan, H. Palaniswamy, G. Ambrogio, and Yingyot Aue-u-Ian. "Tube and Sheet Hydroforming-Advances in Material Modeling, Tooling and Process Simulation." Advanced Materials Research 6-8 (May 2005): 1–12. http://dx.doi.org/10.4028/www.scientific.net/amr.6-8.1.

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Tube Hydroforming is a well accepted production technology in automotive industry while sheet hydroforming is used in selected cases for prototyping and low volume production. Research in advanced methods (warm sheet and tube hydroforming, double blank sheet hydroforming, combination of hydroforming and mechanical sizing, use of multi-point and elastic blank holders) is expanding the capabilities of hydroforming technologies to produce parts from Al and Mg alloys, as well as Ultra High Strength Steels. In the development of advanced hydroforming methods, experience based knowledge is not readi

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SMIRNOVA, Arina, Alexander SHEVTSOV, and Shaojie CHEN. "Analysis of factors affecting the coal seams distribution permeability in the southern part of the Tutuyasskaya Area of the Kuznetsk Basin, Russia." Sustainable Development of Mountain Territories 14, no. 4 (2022): 657–65. http://dx.doi.org/10.21177/1998-4502-2022-14-4-657-665.

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Introduction. The gradual depletion of hydrocarbon condensate fields is already forcing the industry to pay attention to those sources, which are included to the off-spec and difficult to recover categories. Therefore, the study of reservoir permeability, associated with the pore-fractured structure of coal, is the most important parameter in the unconventional gas resources development, which determines both economic efficiency and approaches to the development of such deposits. In this regard, the investigation on permeability distribution of coal seams over an area is critical to fairway se

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Vespoli, Silvestro, Andrea Grassi, Guido Guizzi, and Valentina Popolo. "Generalised Performance Estimation in Novel Hybrid MPC Architectures: Modeling the CONWIP Flow-Shop System." Applied Sciences 13, no. 8 (2023): 4808. http://dx.doi.org/10.3390/app13084808.

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The ability to supply increasingly individualized market demand in a short period of time while maintaining costs to a bare minimum might be considered a vital factor for industrialized countries’ competitive revival. Despite significant advances in the field of Industry 4.0, there is still an open gap in the literature regarding advanced methodologies for production planning and control. Among different production and control approaches, hybrid architectures are gaining huge interest in the literature. For such architectures to operate at their best, reliable models for performance prediction

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Massaro, Alessandro. "Advanced Electronic and Optoelectronic Sensors, Applications, Modelling and Industry 5.0 Perspectives." Applied Sciences 13, no. 7 (2023): 4582. http://dx.doi.org/10.3390/app13074582.

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This review will focus on advances in electronic and optoelectronic technologies by through the analysis of a full research and industrial application scenario. Starting with the analysis of nanocomposite sensors, and electronic/optoelectronic/mechatronic systems, the review describes in detail the principles and the models for finding possible implementations of Industry 5.0 applications. The study then addresses production processes and advanced detection systems integrating Artificial Intelligence (AI) algorithms. Specifically, the review introduces new research topics in Industry 5.0 about

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Wu, NaiQi, Tatsushi Nishi, and Murat Uzam. "Modeling, scheduling, and control in advanced production systems." Advances in Mechanical Engineering 10, no. 6 (2018): 168781401877962. http://dx.doi.org/10.1177/1687814018779621.

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Aimagambetov, Ye B. "Development of methodological foundations for the development and implementation of the state policy of reindustrialization of regional systems." BULLETIN OF THE KARAGANDA UNIVERSITY. ECONOMY SERIES 101, no. 1 (2021): 16–25. http://dx.doi.org/10.31489/2021ec1/16-25.

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Object: The purpose of the study is to substantiate methodological issues of state policy and modeling of the dynamic development of regional systems as an inseparable triad "ecology-society-economy" in the conditions of various stages of reindustrialization. Methods: methods of system analysis and economic synthesis of reindustrialization factors and assessment of their impact on the development of ecological and socio-economic systems are used, which will increase the effectiveness of state policy and management decisions in the field of scientific, technical, industrial and environmental po

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KILIÇ, Zeyneb. "Exploring the Link between Climate Change and Flood Risk: A Bibliometric Perspective." International Journal of Environment and Climate Change 15, no. 6 (2025): 222–32. https://doi.org/10.9734/ijecc/2025/v15i64885.

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Extreme weather changes had a significant negative impact on various aspect of ecosystems, human life, ecology and the environment as a whole. Nowadys, climate change, rising water levels, floods, and landslides following heavy precipitation have occurred with increasing frequency in many countries. This study presents a bibliometric analysis of the academic literature exploring about relationship between climate change and floods. Publications from 1994 to 2024 were examined to identify prolific authors, influential institutions, collaboration networks, core research themes, and in total 2583

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Glavicic, Michael G., Tom Broderick, Vasisht Venkatesh, et al. "Advanced Titanium Alloy Fatigue Modeling." MATEC Web of Conferences 321 (2020): 11093. http://dx.doi.org/10.1051/matecconf/202032111093.

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A summar y of the final progress achieved in two Metals Affordability Initiative (MAI) programs (RR-12 and RR-13) that were funded by the US Air Force to develop the necessary integrated computational materials engineering (ICME) framework, knowledge, and supporting database to model and predict location-specific fatigue properties across the entire titanium supply chain is presented. Validation of this ICME framework which allows for the prediction of location specific low cycle fatigue (LCF) and high cycle fatigue (HCF) behavior on complex production components in electro-polished and shot p

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Ellis, Jennifer L. "117 Nutrition Modelling: What Can the Pet Field Learn (or Steal) from Recent Directions in Other Species?" Journal of Animal Science 99, Supplement_3 (2021): 62–63. http://dx.doi.org/10.1093/jas/skab235.112.

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Abstract Nutrition modelling has been the cornerstone of feed formulation and diet optimization in animal production systems for decades. Since the 1970s and 1980s, mechanistic models of nutrient digestion, absorption, metabolism, growth and milk/egg production have been developed and implemented to (1) amass our cumulative biological knowledge and develop theories of regulation, (2) identify knowledge gaps, and (3) propose means to manipulate nutrient dynamics in the animal. At the nutrient and metabolite level, many commonalities exist and parallels found between species. In fact, several se

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De Carli, Felipe, R. I. G. Mejia, and Guilherme A. T. De Araújo. "ADVANCED ANALYTICS APPLIED TO PROBLEM SOLVING TECHNIQUE ON A PULP MILL." Latin American Applied Research - An international journal 49, no. 3 (2019): 175–80. http://dx.doi.org/10.52292/j.laar.2019.355.

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In this article, advanced analytics will be applied to the lean 8 step problem solving technique aiming to increase the data analysis reliability. The modelling techniques consider in this work are boosted and bagging decision trees, artificial neural networks, relief and stepwise regression. The proposal is validated by the evaluation of a bleaching process problem on a pulp mill. The high pressure events on bleaching washer feeding stage resulted on bleaching non planned shutdowns. The lean 8 steps problem solving technique allied to advanced analytics modeling tools reduced the high pressur

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Oleghe, Omogbai, and Konstantinos Salonitis. "Hybrid simulation modelling of the human-production process interface in lean manufacturing systems." International Journal of Lean Six Sigma 10, no. 2 (2019): 665–90. http://dx.doi.org/10.1108/ijlss-01-2018-0004.

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Purpose This study aims to seek to advance a system dynamics-discrete event hybrid simulation modelling concept useful for taking improvement decisions where one needs to consider the interactions between human factors and process flow elements in lean manufacturing systems. Design/methodology/approach A unique approach is taken to hybrid simulation modelling where the whole problem situation is first conceptualized using a causal loop diagram and stock and flow diagram, before transmitting to a hybrid simulation model. The concept is intended to simplify the simulation modelling process and m

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Danshyna, Svitlana, та Sergey Andrieiev. "Дистанційне зондування як ефективний інструмент проєктування доріг". Aerospace Technic and Technology, № 2 (24 квітня 2023): 75–84. http://dx.doi.org/10.32620/aktt.2023.2.08.

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The subject of this study is the process of engineering and geodetic surveys for developing road projects. The purpose of this article is to improve the efficiency of the process of engineering and geodetic research in road design by implementing remote data from various sources and their systematization and algorithmization of use. The task is to analyze the preparatory and field stages of the process to determine possible ways of increasing its efficiency. Focusing on information flows, to develop an information model of the process of engineering and geodetic surveys and the corresponding s

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Gallicano, G. Ian. "Modeling to Optimize Terminal Stem Cell Differentiation." Scientifica 2013 (2013): 1–20. http://dx.doi.org/10.1155/2013/574354.

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Embryonic stem cell (ESC), iPCs, and adult stem cells (ASCs) all are among the most promising potential treatments for heart failure, spinal cord injury, neurodegenerative diseases, and diabetes. However, considerable uncertainty in the production of ESC-derived terminally differentiated cell types has limited the efficiency of their development. To address this uncertainty, we and other investigators have begun to employ a comprehensive statistical model of ESC differentiation for determining the role of intracellular pathways (e.g., STAT3) in ESC differentiation and determination of germ lay

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Zhulkovskyi, Oleg, Inna Zhulkovska, Volodymyr Shevchenko, and Hlib Vokhmianin. "EVALUATION OF THE EFFICIENCY OF THE IMPLEMENTATION OF PARALLEL COMPUTATIONAL ALGORITHMS USING THE <thread> LIBRARY IN C++." Computer systems and information technologies, no. 3 (September 28, 2022): 49–55. http://dx.doi.org/10.31891/csit-2022-3-6.

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Progressive hardware and software mean of paralleling and synchronization of calculations on modern computers with multicore architecture allow to increase the efficiency of computer modeling by increasing (by an order or more) the performance of calculations. The purpose of this work is to increase the efficiency of computational algorithms for the computer implementation of the sweep method by using modern advanced parallel programming techniques. The study used methods of matrix algebra, parallel computations, as well as analysis of the efficiency of algorithms and programs. As a result of

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Zemmit, Abderrahim, Yacine Benchenina, Mohammed Moustafa Bouzaki, and Abdelouadoud Loukrizi. "Advanced Electrolyzer Modeling and Simulation for Optimized Green Hydrogen Production." Algerian Journal of Signals and Systems 9, no. 4 (2024): 255–60. https://doi.org/10.51485/ajss.v9i4.248.

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In this study, we engineered an advanced electrolyzer utilizing Matlab Simscape. Our primary objective is to Green hydrogen production has emerged as a cornerstone for achieving sustainable energy transitions. Electrolyzer systems play a pivotal role in converting renewable energy into hydrogen, yet their performance is heavily influenced by the design, operation, and integration with renewable energy sources. This study presents an advanced modeling and simulation framework for electrolyzers, emphasizing the optimization of green hydrogen production under dynamic operational conditions. The p

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Mevawalla, Zubin N., Gary S. May, and Mark W. Kiehlbauch. "Neural Network Modeling for Advanced Process Control Using Production Data." IEEE Transactions on Semiconductor Manufacturing 24, no. 2 (2011): 182–89. http://dx.doi.org/10.1109/tsm.2011.2115261.

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De Cooman, Bruno C., H. K. D. H. Bhadeshia, and Frédéric Barlat. "Advanced Steel Design by Multi-Scale Modeling." Materials Science Forum 654-656 (June 2010): 41–46. http://dx.doi.org/10.4028/www.scientific.net/msf.654-656.41.

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The present contribution highlights the approach to multi-scale steel design used at the Graduate Institute of Ferrous Technology (GIFT). Multi-scale modeling combining ab-initio methods, molecular dynamics, crystal plasticity modeling etc. enables GIFT researchers to gain a better fundamental understanding of phase and lattice stability, magnetic properties and basic mechanical constants. In addition, these methods allow for the reliable determination of critical material parameters. The opportunities for the development of new steel grade is thereby greatly enhanced and, when these new mater

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Zou, L. H., D. M. Gou, C. L. Sun, and H. Gao. "Workflow Modeling for Cooperative Production Development Based upon Advanced Petri Net." Key Engineering Materials 392-394 (October 2008): 810–15. http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.810.

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Process modeling of Cooperative Product Development (CPD) is the key of CPD process management. Analyzing the process of developing production based upon Petri Nets, referring to workflow management and combining with parallel project, a new workflow modeling method based upon layered timed color Petri nets is invented, which supports the developing of the model production that parallels CAD/CAPP. Finally taking the developing CDP of model product as an example, workflow model has been designed and has been inspected and verified in the software platform.

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Scardi, Michele. "Advances in neural network modeling of phytoplankton primary production." Ecological Modelling 146, no. 1-3 (2001): 33–45. http://dx.doi.org/10.1016/s0304-3800(01)00294-0.

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Novia, Novia, Hasanudin Hasanudin, Hermansyah Hermansyah, Ahmad Fudholi, and Vishnu K. Pareek. "Recent advances in CFD modeling of bioethanol production processes." Renewable and Sustainable Energy Reviews 183 (September 2023): 113522. http://dx.doi.org/10.1016/j.rser.2023.113522.

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Wang, Zhaojing, Hao Hu, and Jie Gong. "Modeling Worker Competence to Advance Precast Production Scheduling Optimization." Journal of Construction Engineering and Management 144, no. 11 (2018): 04018098. http://dx.doi.org/10.1061/(asce)co.1943-7862.0001556.

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