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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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A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications
Published 2024“…The application of this testing framework to a case study of solar Photovoltaic (PV) energy trade among household peers in in Doha, Qatar, shows how the integration of the GIS environment offers a detailed analysis of transactions in local housing community markets. …”
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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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Hierarchical memory synthesis in reconfigurable computers
Published 2002“…A full spatial partitioning framework is presented where memory mapping interacts with logic partitioning and optimizes the overall placement of both computations as well as data in the design.…”
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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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Memory synthesis for FPGA-Based reconfigurable computers
Published 2017“…This paper presents an automated heuristic-based memory mapping framework for RCs. We use a Tabu search guided heuristic, Rectangle Carving, to map a single data structure onto several instances of a memory type on the RC. …”
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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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