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Reevaluating national innovation systems: An index based on dynamic-network data envelopment analysis
Published 2024“…<p dir="ltr">The aim of this study is to propose a novel analytical framework to evaluate the national <u>innovation system</u> (NIS) based on dynamic-network <u>data envelopment analysis</u>. …”
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Dynamic Hybrid Cross-Docking Model with Multiple Truck Types
Published 2015Get full text
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Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks
Published 2013Get full text
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An Optimized Influencer Rating Model using a Joint Event and Theme based Approach
Published 2020“…While different techniques were developed to select influencers over social networks, identifying influencers remains an evolving topic due to the dynamic nature of the social media users and use in addition to their extremely increasing growth which attracts high research interests across multiple disciplines including data science, psychology, sociology, and different human sciences all of which have been studying the topic from multiple angles. …”
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Repurposing Nirmatrelvir for Hepatocellular Carcinoma: Network Pharmacology and Molecular Dynamics Simulations Identify HDAC3 as a Key Molecular Target
Published 2025“…</p><h3>Methods</h3><p dir="ltr">In this study, we employed network pharmacology, molecular docking, and molecular dynamics (MD) simulations to explore the potential therapeutic targets of Nirmatrelvir in HCC.…”
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A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand
Published 2023“…System dynamics modeling (SDM) is recommended by water resource researchers as it models the biophysical and socio-economic systems simultaneously. …”
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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
Published 2016Get full text
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Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
Published 2021“…Also, a sensitivity analysis is conducted by varying the model parameters for networks with different sizes and complexities to study their impact on the total cost and the problem under study.…”
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Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems
Published 2022“…These components include the physics-based formulations; the statistical analysis of data from the sensor network; the real-time data; the pre-performed localized in-depth simulations to predict activities of the corresponding physical twin; and the system Genome with a digital thread that connects all these components together. …”
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AI in drug discovery and its clinical relevance
Published 2023“…How contemporary AI methods, such as graph neural networks, reinforcement learning, and generated models, along with structure-based methods, (i.e., molecular dynamics simulations and molecular docking) can contribute to drug discovery applications and analysis of drug responses is also explored. …”
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Bridge Structural Health Monitoring Using Mobile Sensor Networks
Published 2022Get full text
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AI-driven cybersecurity framework for software development based on the ANN-ISM paradigm
Published 2025“…This framework helps realize dynamic, intelligent security as a part of the Software Development life cycle (SDLC). …”
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Fuzzy logic-driven nonlinear optimization for resource allocation in 6G networks
Published 2025“…Conventional deterministic optimization techniques hit their limit when they are confronted by the factors of non-stationary channel operation, dynamic user mobility, non predictable quality-of-service (QoS) needs, and distributed network control. …”
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Neopatrimonialism and Democratization Politics in the Kurdistan Region of Iraq: Assessing the Role of Tribal Networks
Published 2025“…Post 2005, the Kurdistan Region of Iraq (KRI) has made continuous endeavors for autonomy, progress, and democratization. However, tribal networks, particularly those tied to the Kurdistan Democratic Party (KDP) and Patriotic Union of Kurdistan (PUK), continue to shape its political dynamics. …”
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A review on fractional order (FO) controllers’ optimization for load frequency stabilization in power networks
Published 2021“…In order to achieve the targeted assignment, the impact of incremental control action of different FO controllers along with the system constraints has been considered for better system dynamics. Moreover, the current research work illustrates the structural control operation with transfer function analysis of different FO controllers considered for multiple single/multi-area power network. …”
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Forecast of the outbreak of COVID-19 using artificial neural network: Case study Qatar, Spain, and Italy
Published 2021“…<p dir="ltr">The present study illustrates the outbreak prediction and analysis on the growth and expansion of the COVID-19 pandemic using artificial neural network (ANN). …”