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1741 articles for “process model”
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Open Educational Resources and Open Access Publishing in Higher Education: Policies, Challenges, and Collaborative Models
Abstract: Open Educational Resources (OER) and Open Access (OA) publishing are transforming higher education by promoting equitable access to knowledge, reducing costs, and fostering collaborative innovation. While OER focus on openly licensed teaching and learning materials, OA ensures unrestricted online access to scholarly research. Together, they form an integrated open knowledge ecosystem aligned with global policy frameworks such as the UNESCO OER Recommendation (2019) and the Budapest Open Access Initiative. This …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 1, 2026 · pp. 7–12 Read article
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Finite Element Simulation of the Cold Open-Die Forging of Sintered Aluminum Metal Powder Trapezoidal Preforms
Abstract: This paper presents finite element simulation of the forging of sintered aluminium metal powder trapezoidal preforms at cold conditions. It involves basic experimental investigations followed by the finite element simulation of the forging process under consideration by the use of DEFORM. The basic experimental work includes the fabrication of compaction die-sets, production of aluminum metal powder trapezoidal preforms and simple compression test to obtain load-deformation data. The stress-strain data was …
Published in Trends in Mechanical Engineering & Technology · Vol. 1, Issue 2-3, 2011 · pp. 18–28 Read article
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Digital Frontiers in Life Sciences: The Transformative Role of Computing in Modern Biology
Abstract: The integration of computers in the biological sciences has revolutionized research and experimentation, facilitating advancements in areas such as genomics, bioinformatics, systems biology, and ecological modeling. The ability to process vast amounts of biological data efficiently has transformed how scientists study complex biological systems and phenomena. Computational tools enable the analysis of DNA sequences, protein structures, metabolic pathways, and ecological dynamics, which were previously beyond the reach of traditional laboratory …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 1–20 Read article
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Modeling the Influence of Microcrack Healing on Deformation of Asphalt Concrete Using NDT
Abstract: Asphalt concrete pavement practices heavy loading and environmental impacts through its service life. Micro cracks usually initiate and accumulate to form various types of distresses. However, asphalt concrete has the ability of self-healing with rest periods and hot environment conditions. The mechanical properties of Asphalt concrete is complex due to its dependency of temperature, loading frequency, and strain level. In this investigation, asphalt concrete specimens of wearing, binder and base …
Published in Trends in Transport Engineering and Applications · Vol. 6, Issue 3, 2019 · pp. 37–47 Read article
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A Technological Review on Quantum Ballistic Transport Model Based Silicon Nanowire Field Effect Transistors for Circuit Simulation and Design
Abstract: Nanowire MOSFETs are recognized as one of the most promising candidates to extend Moore’s law into nanoelectronics era. This paper reviews the process, application, device physics and compact modeling of Gate All around (GAA) nanowire MOSFETs. The most widely used methods of nanowire synthesis have been discussed. The paper presents the various device optimization techniques and scaling potential of nanowire transistors. A process sensitivity study of silicon nanowire transistors at …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 5, Issue 2, 2015 · pp. 20–31 Read article
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Enhanced Deep Learning Techniques for Defect Detection in Steel-Fiber-Reinforced Composites: A Comparative Study of KerasTuner, CNN–PSO, and CNN–GWO
Abstract: The identification of microstructural defects in steel-fibre-reinforced composites is useful for the material integrity, mechanical reliability and longevity. Classic material inspection techniques face difficulties in recognizing the complex and visually similar defects because of heterogeneous material morphology, changing imaging conditions, and limits of manual feature extraction. To tackle those problems, this study presents a comparative deep-learning framework that integrates Convolutional Neural Networks (CNNs) with three hyperparameter optimization techniques namely KerasTuner, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 377–403 Read article
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Extended Kalman Filter Application For Launch Vehicle Trajectory
Abstract: Real time applications have been implemented out of intuitive modeling but due to inefficient estimation techniques there were deviations in the results from expected processes. To avoid these deviations for better performance modeling, many mathematical state estimation methods are in use. This paper focuses on a state estimation method for monitoring and control of a real time system. The existing models for state estimation, as well as the challenges associated …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 41–49 Read article
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Enhancement of Flexural Strength in FDM-Printed Components through Taguchi-Based Process Parameter Optimization
Abstract: Additive manufacturing (AM), especially Fused Deposition Modeling (FDM), has emerged as a widely adopted and versatile method for producing three-dimensional components. The process involves the deposition of a thermoplastic filament in a semi-molten state, which solidifies in successive layers to form the final structure. While this method enables the production of complex geometries at relatively low cost, the printed parts often exhibit inferior surface quality and reduced mechanical performance compared …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 272–280 Read article
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From 2D to 3D: An Evidence Based Review of 3D Printing in Dentistry
Abstract: Additive manufacturing, the technology popularly known as “3D printing” is the process of making any 3 dimensional solid objects from a digital model. This technology has revolutionized the process of manufacturing and has enumerable applications in automotive, aerospace and defense industries. Recently it has found application in medicine and dentistry where customized prosthesis is desired for every patient. 3D printing is valuable aid in orthognathic surgery, implantology, prosthetics and even …
Published in Research and Reviews: A Journal of Dentistry · Vol. 8, Issue 3, 2017 · pp. 1–6 Read article
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An Analysis of Machining Parameters for Metal Matrix Composite
Abstract: The electro-discharge machining analysis of hybrid Composite is presented in this work. Variables are chosen for the input process parameters. The material removal rate is acknowledged as an output parameter, together with the current, graphite and silicon carbide percentage and pulse on time. We used the Taguchi Method to conduct our experiments. To create the theoretical model and look into how process parameters affect the rate at which material is …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 76–85 Read article
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Optimum Mixture Proportioning of Sawdust Ash Blended Sand-Stone Dust Blocks Using Scheffe’s Regression Theory
Abstract: This study carried out an experimental investigation on the compressive strength of sawdust ash blended sand-stone dust block of size 450 x 225 x 150 mm using Scheffe’s (5, 2) regression theory. The compressive strength of sawdust ash blended sand-stone dust blocks obtained based on fifteen trial mix ratios were used to develop the mathematical model while the results of the compressive strength values obtained based on the additional fifteen …
Published in Journal of Construction Engineering, Technology & Management · Vol. 13, Issue 2, 2023 · pp. 33–40 Read article
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Enhancing Robot Autonomy: Integrating AI for Advanced Decision-making in Autonomous Robotic Systems
Abstract: The capabilities of autonomous robotic systems have been drastically changed by the rapid progress in artificial intelligence (AI) technologies. In this work, we investigate the integration of AI approaches to improve robot autonomy by presenting even more advanced mechanisms for decision-making. Almost all traditional robotic systems involve predefined algorithms, making them unable to cope with dynamic environments. They can also help with learning based on machine learning and deep learning …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 28–37 Read article
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Strategic Integration of Machine Learning in Polymer Composite Development: A Framework for R&D Portfolio Management and Technological Adoption
Abstract: The progress of advanced polymer composites is slow, costly and unpredictable due to traditional methods of trial-and-error research. As materials informatics and data-driven modeling speed up the process of discovering technology, there exists a huge disconnect between computational predictions on one hand and strategic decision-making on the other in research and development (R&D). To solve this issue, this paper presents the Agile Materials-Intelligence (AMI) Framework, a systematic combined methodology that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1272–2286 Read article
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3D Printing of Polymer-Based Functionally Graded Materials: Recent Developments and Challenges
Abstract: Additive manufacturing (AM), specifically 3D printing, has become a useful technique for fabricating functionally graded materials (FGMs) because it can facilitate the spatial distribution of materials. Polymer FGMs (P-FGMs) have gained a great deal of interest due to their lightweight, customizable, multifunctional properties. In comparison to conventional fabrication, 3D printing allows better control of composition and microstructure, which results in materials with controlled mechanical, thermal, and biological properties. This review …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 338–347 Read article
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Selection of Tower Cranes through ANN (Artificial Neural Network) Model
Abstract: In India, the construction sector has been increased due to large spending on the infrastructures in last few years. By such growth in infrastructure, rising trend of precast technology for real estate construction and high rise construction, there is a drive growth of the Indian tower crane industry. With the increasing demand of tower cranes, the selection of the suitable tower crane for a particular site also becomes important; as …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 67–79 Read article
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Retrieval of Secure Data Using One Time Password
Abstract: Characterization and taking care of the issue of viable and secure positioned catchphrase seek over scrambled cloud information. Positioned look significantly improves framework, ease of use by giving back the coordinating documents in a positioned request with respect to certain pertinence criteria (e.g., catchphrase recurrence), subsequently make one stage nearer towards down to earth organization of privacy-saving information, facilitating administrations in cloud computing. To enhance the security for the information …
Published in Recent Trends in Programming languages · Vol. 3, Issue 2, 2016 · pp. 19–24 Read article
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A New Approach to Hypersoft Sets and their Application in Decision Making
Abstract: An uncertainty based model, parallel to the soft set (SS) model introduced by Molodtsov, was proposed by Smarandache in the form of hypersoft sets (HSS). The basic characteristic of both these models is that these are parametrized family of sets which are induced by the parameters involved. However, Smarandache had left open the basic operation on HSS. In this paper, we first redefine HSS using the characteristic function based approach, …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 2, 2022 · pp. 1–10 Read article
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Role of Virtualization in Cloud Computing
Abstract: Appropriate arithmetic in cloud computing is rapidly expanding, and there is no doubt that it is the front-line advancement that people will use at any time and in any place. IT is being developed today through hazes with virtualization. Disengaged from its notoriety, it has two or three businesses that are turning into bundles for its dynamically wide assembling. As of now, the study has been made on virtualization concerns. …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 1, 2022 · pp. 7–13 Read article
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Adsorption of Pb2+ from Simulated Solution using Raw Kola nut Pod Adsorbent
Abstract: This study investigated the removal of the Pb (II) ion from an aqueous solution using kola nut pod as a natural adsorbent. The batch adsorption experiment was carried out, and the parametric effect on removal of heavy metals was also investigated. kinetic data such as pseudo-first, second, and intraparticle diffusion models during the adsorption process were also evaluated. The optimum dose of adsorbent for Pb (II) removal was 2.5 g …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 25, Issue 1, 2023 · pp. 38–49 Read article
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Marshall-Olkin Exponential Power Distribution and Applications
Abstract: We introduce a new distribution namely Marshall-Olkin Exponential Power Distribution and its properties were studied. The problem of estimation of parameters was considered and validated with respect to a real data on failure times. The stress-strength reliability analysis was also carried out. Average mean square error, Average confidence length, Coverage probability etc. were computed using simulated data. Using the proposed model we developed autoregressive processes with minification structure. Keywords: Marshall-Olkin …
Published in Research & Reviews : Journal of Statistics · Vol. 6, Issue 3, 2017 · pp. 22–33 Read article