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A Proactive Model for Intrusion Detection Using Image Representation of Network Flows
Published 2024-01-01Get full text
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Leveraging machine learning to proactively identify phishing campaigns before they strike
Published 2025-05-01Get full text
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ProWaste for proactive urban waste management using IoT and machine learning
Published 2025-07-01“…Binary Particle Swarm Optimisation (BPSO) removed 80% of the inputs, revealing that three features alone predict criticality with>99% accuracy on a hold-out test set. …”
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Data-Driven Proactive Early Warning of Grid Congestion Probability Based on Multiple Time Scales
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Chemical-physical features of the biochar-based oil-destructive sorbent
Published 2023-05-01Get full text
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Smart Grid Security: Proactive Prediction of Advanced Persistent Threats
Published 2025-05-01“…Experimental results show that the ProAPT model significantly outperforms traditional machine learning algorithms like Random Forest, Support Vector Machines, and Logistic Regression, achieving 93.8% accuracy, 93.12% precision, 95.2% recall, and 94.15% F1-Score. The feature importance analysis reveals that traffic-related features such as packet size variance and connection duration are crucial in identifying Advanced Persistent Threats. …”
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Differences in innovativeness, proactiveness and competitive aggressiveness in relation to entrepreneurial motives
Published 2017-12-01“…The first group (330 respondents) consisted of entrepreneurs who featured money as the most important motive for starting up a business, while the second group (251 respondents) consisted of those entrepreneurs who featured their life mission as the main reason for starting a business. …”
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Being proactive about media engagement in first aid education
Published 2019-02-01Get full text
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Proactive Technological Policy and Import Substitution Perspectives: The Role of Testing Centers
Published 2022-12-01“…The article investigates features of reactive and proactive science and technology policy. …”
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Prediction Based Proactive Thermal Virtual Machine Scheduling in Green Clouds
Published 2014-01-01“…Cloud computing provides many advanced features but it still has some shortcomings such as relatively high operating cost and environmental hazards like increasing carbon footprints. …”
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THE ROLE OF MEDIA MONITORING IN PROMOTING PROACTIVE SOCIAL COMMUNICATION. CASE STUDY
Published 2023-12-01Get full text
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A Proactive GIS Geo-Database for Castles Damaged by the 2012 Emilia Earthquake
Published 2025-04-01“…The designed geo-database allows for the identification of possible correlations between constructive features and the occurrence of damage, through statistical and geo-referenced analysis. …”
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Event-related potential evidence of impaired proactive control in individuals with subthreshold depression
Published 2025-07-01“…Objective and rationaleCognitive control deficits are considered as central features of cognitive impairments in depression. The dual mechanisms of control (DMC)—proactive and reactive control—can further elucidate the nature of these deficits. …”
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APBIO: bioactive profiling of air pollutants through inferred bioactivity signatures and prediction of novel target interactions
Published 2025-01-01“…To this end, we propose a chemogenomic approach, called Air Pollutant Bioactivity (APBIO), which integrates compound bioactivity signatures and target sequence descriptors to train ML classifiers subsequently used to predict potential compound-target interactions (CTIs). …”
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Enhanced Bioactivity of Cu-Doped Bioactive Glass Coatings on Human Freeze-Dried Cortical Bone: An In Vitro Study
Published 2025-03-01“…In this in vitro study, cortical allogeneic bone samples were coated with copper-doped bioactive glass 45S5 (Cu-BG) by means of the pulsed-laser deposition technique to combine the mechanical support and osteoconductive properties of human bone with the osteogenic and pro-angiogenic features of the bioactive material. …”
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A CNN-Transformer Fusion Model for Proactive Detection of Schizophrenia Relapse from EEG Signals
Published 2025-06-01“…Proactively detecting schizophrenia relapse remains a critical challenge in psychiatric care, where traditional predictive models often fail to capture the complex neurophysiological and behavioral dynamics preceding recurrence. …”
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