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478 articles for “Computational Framework”
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Advanced Material Design and Fabrication Efficiency Using Cloud Computing: A Scalable Computational Framework for Polymer Nanocomposites
Abstract: The design of the material, the prediction of the properties and the fabrication techniques should be enhanced to efficiently use the high performance polymer nanocomposites. However, the traditional computational methods are often restricted by issues of scaling, computing cost, data integration, and processing time in assessing the complex combinations of polymers, nanofillers, processing factors and material characteristics. This work presents a scalable cloud-computing framework for the efficient design and fabrication …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Graph Neural Networks for Molecular Scale Property Prediction and Inverse Design of Thermoset Polymer Nanocomposites: A Computational Framework
Abstract: Thermoset polymer nanocomposites exhibit properties that are highly sensitive to molecular scale formulation decisions, yet the vast design space remains largely unexplored because of the high cost of experimental characterisation and fully atomistic simulation. This paper presents TNC GNN, a dual mode graph neural network framework developed for the computational design of thermoset nanocomposite formulations. The forward module employs an attention augmented Message Passing Neural Network with 3D geometric encoding …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Data Security using Cloud Computing Adaption Framework
Abstract: AbstractIt is important to provide real-time data security for huge amount of data in cloud computing. A recent survey on cloud security stated that security of users’ data has the highest priority as well as concern. This can be able to achieve with an approach, which is systematic, adoptable and well structured. Therefore, here a framework called as Cloud Computing Adoption Framework (CCAF) has been developed which has been customized …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 3, 2016 · pp. 25–32 Read article
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Harnessing Deep Learning to Explore Microbial Community Structure and Carbon Storage Capacity in Mangrove Ecosystems: A Framework for Computationally
Abstract: Mangrove ecosystems represent one of the most efficient natural carbon sinks on Earth, functioning as critical blue carbon habitats that sustain diverse microbial communities responsible for biogeochemical cycling and long-term carbon storage. Despite their global ecological significance, accurately quantifying and predicting carbon sequestration in mangrove systems remains challenging due to the complex interactions between microbial diversity, sediment chemistry, and environmental drivers. This study presents a comprehensive and sustainable artificial intelligence …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 41–49 Read article
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Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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AI-PASS: An AI-Based Predictive, Adaptive and Energy Aware Task Scheduling Framework for Heterogeneous Parallel Computing
Abstract: Heterogeneous parallel computing systems are made up of a combination of multicore CPUs, GPUs, and specialized devices to boost computational power and utilize resources. But changes in workload intensity and processor capability, energy consumption and system conditions are dynamic, making efficient task scheduling difficult. Traditional scheduling approaches are based primarily on task properties or the state of the resources employed and can be sub-optimal when workloads are evolving. This paper …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 2, 2026 · pp. 28–34 Read article
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An Introduction of Computational Fluid Dynamics Methods and Frameworks
Abstract: The theoretical fluid dynamics code is used to model the primary natural circulation loop of the proposed small modular reactor for reference to experimental evidence and best-estimated thermal-hydraulic code performance. Latest developments in computational fluid dynamics code simulation capabilities allow them desirable alternatives to the existing cautious method coupled to best guess thermal hydraulic codes and ambiguity assessments. The findings of the numerical fluid dynamics study are compared to the …
Published in Journal of Aerospace Engineering & Technology · Vol. 10, Issue 3, 2020 · pp. 19–23 Read article
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Integration of RSA and Waterfall Framework: Aggrandize Security in Cloud Computing using Integration of Rivest–Shamir–Adleman (Encryption Algorithm) and Waterfall Model
Abstract: Eccentric consumer and associations benefit from cloud computing services, which allow continuous and longtime online storage of files. The problem arises when organization store highly privileged documents in cloud servers. Therefore, this paper targets a backbone structure for a cloud storage system, where the security and single user privacy is highly maximized. It is very obvious that the cloud computing servers are highly protected against unauthorized access, but in some …
Published in Journal of Microcontroller Engineering and Applications · Vol. 4, Issue 3, 2017 · pp. 1–8 Read article
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Role Of Distributed Database in Cloud Application
Abstract: An affordable gratitude to improve the presentation of data frameworks is that the distributed system. Along these lines, the convenience of any appropriated information framework is stricken by its right vogue as far as embraced fracture, allotment, and replication ways that. Accordingly, discontinuity, its portion and replication is thought about as a key examination region at interims the dispersed setting. The distributed computing is partner rising circulated setting that utilizes …
Published in Journal of Advanced Database Management & Systems · Vol. 8, Issue 3, 2021 · pp. 16–20 Read article
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Scientific Computing with the KotlinSci Open-source Framework
Abstract: KotlinSci is a framework for scientific computing for the Java Virtual Machine (JVM). The paper illustrates that KotlinSci can significantly facilitate and simplify the development of complex computational demanded scientific software at the JVM. The work compares Java based approaches with Kotlin ones, and illustrates the significant advantages of the enhanced flexibility of the Kotlin language. We illustrate that one of the more significant drawbacks of Java is its lack …
Published in Journal of Open Source Developments · Vol. 9, Issue 2, 2022 · pp. 1–7 Read article
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AI-Driven Framework for Accelerating Polymer Nanocomposite Commercialization in Computational Materials Engineering
Abstract: The remarkable mechanical strength increased functional qualities, lightweight structure, and thermal stability of polymer nanocomposites have prompted modern materials research to prioritize their rapid commercialization. Advanced materials can be created by adding nanoscale fillers such as carbon nanotubes, graphene, silica, and metal oxides to polymer matrices. These materials have applications in biomedical engineering, aerospace, electronics, packaging, and automobile manufacture. Research and development of polymer nanocomposites has traditionally relied on costly …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1–19 Read article
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An Investigative Study of Quantum-safe Secure Multi-party Computation
Abstract: This article represents the comprehensive investigation in the emerging field of quantum-safe secure multi-party computation (QSSMPC) and presents novel perspectives to address the impending threat posed by quantum computers to classical cryptographic systems. As the era of quantum computing approaches, traditional encryption methods become vulnerable to quantum algorithms, necessitating the development of quantum-resistant cryptographic protocols. In this context, the paper introduces innovative approaches to secure multi-party computation in a quantum-safe …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 39–44 Read article
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A Framework for Privacy-preserving AI Models in Cloud Computing: Challenges and Solutions
Abstract: The growing adoption of cloud computing for deploying artificial intelligence (AI) models has led to significant advancements in sectors such as healthcare, finance, and e-commerce. However, the integration of AI with cloud computing raises critical privacy concerns, particularly when handling sensitive data. This paper presents a comprehensive framework for implementing privacy-preserving AI models in cloud environments, addressing the unique challenges, and proposing effective solutions. The suggested framework employs advanced privacy-preserving …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 1–12 Read article
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A Particle-Derived Nonlinear Dynamical Framework for Bubble Oscillations: Reduced-Order Modeling, Bifurcation Analysis, and Optimal Stabilization
Abstract: Particle-based fluid simulation has emerged as a powerful computational framework for modeling complex multiphase flows involving large deformations, moving interfaces, and nonlinear fluid interactions that challenge conventional mesh-based approaches. In this work, a nonlinear dynamical systems framework is developed for particle-resolved bubble oscillations by constructing a reduced-order model that preserves the dominant physical mechanisms governing bubble interface evolution. The formulation represents the bubble dynamics through coupled radial and shape deformation …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 11–33 Read article
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Modulation of Receptor Proteins: A Recent Paradigm in Drug Discovery and Target
Abstract: The main aim in drug discovery is to design different ligands those work on specific drug targets. However, various effective drugs work through the modulation of many proteins than single target. Advancement in system biology are establishing a phenotypic strength and a network structure, which suggests that, the excellent selective compounds may be performed less than desired clinical efficacy in comparison to multi-target drugs. In this new appreciation of the …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 5, Issue 1, 2018 · pp. 14–24 Read article
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Home Automation and Its Applications
Abstract: Home computerization framework is increasing day by day. The interest for home mechanization items has been expanded quickly, which guarantee a potential market pattern in not so distant future. This review paper based on remote sensor arrange for home computerization utilizing Wi-Fi and Zigbee to robotize the home. In request to utilize low power and minimal effort for the arrangement of mechanizing the home utilizing Wi-Fi and Zigbee innovation. Here …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 2, 2019 · pp. 16–19 Read article
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Effects of Cluster Computing on Big Data Analysis and Network Topology
Abstract: The rapid expansion of big data has posed substantial difficulties for conventional computing systems. As a result, cluster computing has grown to be a potent method for effective large data processing. Cluster computing involves multiple interconnected nodes functioning as a unified system, pooling together their processing, storage, and memory resources. These nodes are typically connected through high-speed networks such as ethernet or InfiniBand, facilitating efficient data sharing and communication among …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 31–39 Read article
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A New Computational Method for Dust and Gas Dynamics in Protoplanetary Discs
Abstract: The simultaneous evolution of dust and gas in protoplanetary discs regulates essential events in planet formation, such as dust accumulation, migration, and the initiation of gravitational instabilities. Nevertheless, precisely modelling this interaction continues to provide a significant computing problem owing to the extensive variety of spatial and temporal scales involved. In this study, we introduce an innovative computational framework for simulating dust-gas dynamics in protoplanetary discs, integrating a two-fluid hydrodynamical …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 35–46 Read article
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Hierarchical Computational Modeling of Physical Structure Across Quark, Nuclear, and Atomic Scales
Abstract: We present a modular, multi-scale computational framework that integrates physical modeling and visualization across quark, nuclear, and atomic scales within a unified pipeline. Developed to address the traditional fragmentation between sub-nucleonic, nuclear, and electronic representations, the system provides a continuous data flow and visualization bridge spanning from femtometers to ångströms. The framework consists of three primary modules: a particle-level module illustrating nucleons as confined quark-triplets with effective flux-tube geometries; a …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 · pp. 38–53 Read article
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Bio-Inspired FGPCs for Biomedical and Structural Applications
Abstract: Bio-inspired functionally graded polymer composites (FGPCs) represent a new class of smart materials that use gradient material distributions to enhance mechanical and biological properties, mimicking natural systems like bones, shells, and plant stems. FGPCs exhibit smooth gradient distributions across interfaces, which improves biocompatibility and reduces the risk of failure under complex loading and environmental conditions. In this study, bio-inspired FGPCs were designed, fabricated, and validated using a combined experimental and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 456–481 Read article