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An easy-to-use scalable framework for parallel recursive backtracking
Published 2013“…In this paper, we propose a lightweight, easy-to-use, scalable framework for transforming almost any recursive backtracking algorithm into a parallel one. …”
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GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework
Published 2022“…To address such issues, we propose a scalable, layered, fault-tolerance, and in-memory distributed computing-based graph neural network framework called Graph Distributed Learning Library (GDLL). …”
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Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events
Published 2021“…This study develops an optimized ensemble deep learning framework wherein these two machine learning techniques are jointly used to achieve synergistic improvements in model accuracy, stability, scalability, and reproducibility, prompting a new wave of applications in the forecasting of dynamics. …”
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UAV-assisted Multi-tier Computing Framework for IoT Networks
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IP SafeGuard–An AI-Driven Malicious IP Detection Framework
Published 2025“…To overcome these constraints, we present IP SafeGuard, an AI-driven platform that incorporates multi-source threat intelligence, sophisticated feature engineering, and machine learning (ML)for real-time IP categorization. The framework collects data from AbuseIPDB, VirusTotal, and other sources to compute a Dynamic Threat Score (DTS) for each IP address. …”
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An Alternating Projection Framework for Elementwise Masked Nonlinear Matrix Decomposition
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A Collaborative Service Discovery and Service Sharing Framework for Mobile Ad Hoc Networks
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A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications
Published 2024“…The ensuing simulation environment provides a decision-support platform for designing and implementing decentralized trading systems based on blockchain technology, and high-performance computing can enhance model performance for scalable energy blockchain analysis in Qatar and beyond.…”
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Hybrid deep learning based threat intelligence framework for Industrial IoT systems
Published 2025“…To address this, the authors propose a hybrid threat intelligence framework that is not only highly scalable but also incorporates self-optimizing capabilities, enabling it to counteract a wide range of persistent cyber threats and attacks targeting IIoT systems. …”
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Smart technologies in aquaculture: An integrated IoT, AI, and blockchain framework for sustainable growth
Published 2025“…Although high costs and technical constraints pose challenges, adopting emerging technologies like 5 G, edge computing, and decentralized ledgers can accelerate industry-wide adoption and enhance resilience and scalability. …”
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Fog Computing Approach for Shared Mobility in Smart Cities
Published 2021“…Furthermore, given the requirement for real-time decisions with low latency for critical requests, the paper deploys the proposed framework within the 3-tier computing model, namely edge, fog, and cloud tiers. …”
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Genome-scale computational approaches to memory-intensive applications in systems biology
Published 2017“…This paper presents a novel framework that provides exact, parallel and scalable solutions to various graph-theoretical approaches to genome-scale elucidation of biological networks. …”
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