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1715 articles for “process model”
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Polymer Composite-Integrated Food Waste Management Across the Supply Chain: Quantification, Process Modelling, and Techno-Economic Valorization
Abstract: Food waste produced throughout the global food supply chain constitutes one of the most impactful forms of inefficiency within the current food production system, producing roughly 931 million tons per year and resulting in economic losses above $1 trillion worldwide each year. One aspect that has not been sufficiently studied systematically is how polymer composite materials, such as membrane separation systems, polymer-coated extraction equipment, fiber-reinforced polymer (FRP) biorefinery infrastructure, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 819–836 Read article
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Process Capability Optimization of Thermoplastic Polyurethane (TPU) Printed Parts in Fused Deposition Modeling Process
Abstract: Fused Deposition Modelling (FDM) 3D printing process requires precise printed dimensions with a special assessment of process parameters using Taguchi optimization methodology. The proposed research aims to determine the optimal parametric setting to maximize the process capability index of diametral deviation and roundness of product in 3D printing process of TPU (thermoplastic polyurethane). The input factors for printing TPU in this research include the extrusion temperature, cooling fan speed, infill …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1846–1864 Read article
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Parametric Study of Fused Deposition Modelling Process During Fabrication of Acrylonitrile Butadiene Styrene (ABS) Based Injection Molding Die
Abstract: The purpose of this study is to dictate an optimum process parameter during the fabrication of additively manufactured acrylonitrile butadiene styrene (ABS) based injection mold using fused deposition modelling methodology based additive manufacturing process and to assess the quality of the infection mold by analyzing the surface roughness of the injection mold, and the time taken in the manufacturing of the mold. The ABS PRO+ filament is used in manufacturing …
Published in Journal of Polymer & Composites · Vol. 10, Issue 1, 2022 Read article
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Process Control Model of a Simple Water Treatment Plant
Abstract: In everyday life we encounter many interesting but complex processes, and we want to be able to describe these processes in an understandable way. This paper presents a mathematical model for studying the process behavior of a water treatment plant. A state equation was developed as a mathematical model of the process. This mathematical model was used to simulate the effects of varying the parameters of the plant (R, C, …
Published in Trends in Mechanical Engineering & Technology · Vol. 3, Issue 2, 2013 · pp. 29–42 Read article
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Comparative Study of Future Processor Design Models for Energy Efficiency
Abstract: This paper describes the comparative analysis of the conceived future many core processor models not only for optimum performance but having the efficient power consumption too. There is a need of the energy efficient parallel cores along with the high throughput and higher performance sequential core to have future competent processors to meet the demand of the Moore’s law. One can have homogeneous cores structure as well as heterogeneous cores …
Published in Current Trends in Signal Processing · Vol. 4, Issue 1, 2014 · pp. 1–3 Read article
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Physical Modeling of Mass Transport Processes in Extraterrestrial Landscapes
Abstract: Currently the progress in physical models based on mass transport in both the Earth's surface and extraterresterial landscape has been growing. It is a frame work involving different natural and made made processes including aeline process, fluid flow process, magmal movement, Geomagnetic stroms, and clould flow modesl etc. These process encorporates Physical models and appraches which help to simulate, compute and experiment in order to reduce complexity. However, their operating …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 47–54 Read article
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Comparative Experimental Investigation of Infill Pattern and Infill Density on Fused Deposition Modeling (FDM) Process Characteristics of Polylactic Acid (PLA)
Abstract: Additive manufacturing is the potential and emerging technology widely being used to produce quality products with complicated profiles and customized features. Fused Deposition Modelling (FDM) process, a type of additive manufacturing technology using filament made of thermoplastic which is melted and subsequently extruded through nozzle. The main input process parameters of FDM are wall thickness, infill density, layer height, bed temperature, layer thickness, infill pattern, nozzle temperature etc. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 335–345 Read article
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Optimization and Modelling of Process Parameters for Turning Operation on Cnc Lathe for ASTM A242 Type-2 Alloy Steel by Regression Analysis and Artificial Neural Network
Abstract: The purpose of this project is focussed on the modelling of cutting conditions to get the lowest surface roughness in turning ASTM A242 TYPE-2 ALLOYS STEEL by Artificial Neural Network and Regression Analysis method on the CNC lathe. The process of metal cutting has been well researched over the years; relatively small research has been carried out on the cutting of alloy of ASTM A242 grade materials. In this study, …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 2, 2015 · pp. 40–51 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article
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Extract Entity And Attributes From User Requirements by Applying On Natural Language Processing (NLP) Model.
Abstract: Automatic generation of entity and attributes from end user requirement reduces cost, time and complexity of software development process. The main aim of this research work is to transform user requirement to Natural Language Processing (NLP) for reducing the ambiguity, inconsistency and incompleteness, and finally extract entity and attributes. This study discusses some initial experiments which are encouraging further research to help in improving the software development process. It focuses …
Published in Recent Trends in Programming languages · Vol. 8, Issue 1, 2021 · pp. 9–15 Read article
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Modeling of Sintering Process for the Preparation of Magnetic Abrasives by RSM and ANN Models
Abstract: In this study, a modeling has been done for the prediction of the sintering process, as sintering process is one of the best processes to prepare magnetic abrasives. The sintering process is modelled by using RSM and ANN techniques. The ANN model has been developed using a multilayer feed-forward neural network and trained with the help of an error backpropagation learning algorithm based on the generalized delta rule. The indication …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 3, 2019 · pp. 5–12 Read article
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Decoding Software Success: A Study of Five Engineering Models
Abstract: Choosing the right software development life cycle (SDLC) model plays a vital role in determining the overall success of a software development project, as it directly affects the planning, execution, quality, and timely delivery of the final product. Different software engineering models provide structured approaches for planning, designing, developing, testing, deploying, and maintaining software systems, with each model offering distinct advantages depending on project characteristics. This study presents a comparative …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 27–35 Read article
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Design Thinking: An Innovative Approach for Engineering Design and Technological Development
Abstract: The advancement in building construction industry such as building automation and building intelligence is becoming the new system requirements that have made the invention of IoT and embedded systems design and development more complex. Every organization is concerned about innovation because it is crucial to the expansion of both the organization and society as a whole. Innovation is anticipated to be an open-minded, design-based process, product, or organizational design. Both …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 3, 2022 · pp. 19–27 Read article
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Study of Data Science in Online Behavioral Advertising
Abstract: The proliferation of the COVID-19 pandemic has led to a growing significance of social media in people's lives. Online activity in the digital domain has expanded considerably, showing a higher reliance on social media platforms for communication in both personal and professional situations. Coronavirus has a global impact on e-commerce and hence transformed the nature of business. Despite the COVID-19 issue and economic slowdown, the Indian e-commerce industry exhibited an …
Published in Journal of Open Source Developments · Vol. 10, Issue 3, 2023 · pp. 1–6 Read article
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Identifying and Implementing a Machine Learning Model Suitable for Processing Visually Evoked Potential
Abstract: A Brain-Computer Interface (BCI) is a system that translates brain activity patterns into computer commands, bypassing physical movement. Electroencephalography (EEG) is commonly used to acquire signals in BCI research. Visual evoked potentials (VEPs) are brain responses in the visual cortex to visual stimuli. Recent studies show that exposing individuals to flickering at a consistent frequency generates EEG signals synchronized with the stimulation. Efficient extraction of VEP signals begins with preprocessing …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Design of Model-based Controllers for a CSTR Process
Abstract: The objective of this paper is to propose suitable control strategies for controlling highly nonlinear system represented by the mathematical model of the jacketed continuous stirred tank reactor (CSTR) with so called Van de Vusse reaction. The operating point of the reactor is chosen so as to give maximum yield of the desired product. The mathematical model of reactor is obtained by considering the feed flow rate (Fr) as the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 1, 2015 · pp. 13–20 Read article
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Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques
Abstract: The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Hexavalent Chromium Resistance Test of Saccharomyces Cerevisiae and Modeling of its Bioaccumulation Process
Abstract: Now a day, the release of high chromium containing tannery waste water from tanning industries to the environment is the life threatening action of human activities and bioaccumulation becomes a better alternative in treating heavy metals(such as Cr(VI) )due to its cost effective, relatively high heavy metal removal capacity and recovery property. Cell suspensions of S.cerevisiae at its exponential growth phase were added to 250 ml plastic flasks of containing …
Published in Emerging Trends in Chemical Engineering · Vol. 8, Issue 1, 2021 · pp. 36–44 Read article
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Early Warning Model based on Markov Process in IoT
Abstract: In view of the progressions in inescapable human services our impression of social insurance is changing very quick. For any standard existing Hospital Information System (HIS) there are a few noteworthy issues that frustrates computerization like, settled data point or firm systems administration mode. In our paper, Internet of Things (IOT) based stage has been utilized for a superior computerization and quicker basic leadership related executions in the smart hospital. …
Published in Journal of Advances in Shell Programming · Vol. 5, Issue 2, 2018 · pp. 26–31 Read article
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Model Based PID Controller for SISO and MIMO System Control
Abstract: In this paper, model based PID controller design method is presented for single variable and multivariable processes with enhanced performance. Adequate responses can be anticipated for processes with various dynamics like high-order, large dead times, and oscillatory response. The design method is used first order plus dead time (FOPDT) modelling technique. For controller design higher order process models are approximated in the form of FOPDT and obtained controller is applied …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 3, 2019 · pp. 9–16 Read article