Islamic Finance and Sustainable Development: Key Ethical Features and Proactive Initiatives Promoting Financial Inclusion by Laura Maria Franciosi

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A Proactive Model for Intrusion Detection Using Image Representation of Network Flows by Rimsha Saeed, Hassaan Khaliq Qureshi, Christiana Ioannou, Marios Lestas

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Leveraging machine learning to proactively identify phishing campaigns before they strike by Kun Zhang, Haifeng Wang, Meiyi Chen, Xianglin Chen, Long Liu, Qiang Geng, Yu Zhou

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ProWaste for proactive urban waste management using IoT and machine learning by Thompson Stephan, S. M. Hari Krishna, Chia-Chen Lin, Ujjwal Sumesh, Saurabh Agarwal, Hyunsung Kim

“…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 by Haobo Fu, Ruizhuo Wang, Bingxu Zhai, Yuanzhuo Li, Pengyuan Li, Rui Zhang, Haoyuan He, Siyang Liao

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Smart Grid Security: Proactive Prediction of Advanced Persistent Threats by Motahareh Dehghan, Erfan Khosravain

“…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 by Ludmila Kozubíková, Gabriela Sopková, Vladimír Krajčík, Ladislav Tyll

“…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

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Proactive Technological Policy and Import Substitution Perspectives: The Role of Testing Centers by I. V. Anokhov

“…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 by Supriya Kinger, Rajesh Kumar, Anju Sharma

“…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 by Căprărin Amelia

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A Proactive GIS Geo-Database for Castles Damaged by the 2012 Emilia Earthquake by Elena Zanazzi

“…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 by Zhijun Wang, Jinsheng Hu, Qi Qiang, Zhihong Liu, Qingshuo Yang

“…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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A CNN-Transformer Fusion Model for Proactive Detection of Schizophrenia Relapse from EEG Signals by Sana Yasin, Muhammad Adeel, Umar Draz, Tariq Ali, Mohammad Hijji, Muhammad Ayaz, Ashraf M. Marei

“…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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Proactive detection of anomalous behavior in Ethereum accounts using XAI-enabled ensemble stacking with Bayesian optimization by Vasavi Chithanuru, Mangayarkarasi Ramaiah

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PROACTIVE MITIGATION OF DDoS IoT-RELATED ATTACK USING MACHINE LEARNING AND SOFTWARE DEFINED NETWORKING TECHNIQUES by Emmanuel J. Ebong, Samuel N. John, Dominic S. Nyitamen, Samuel F. Kolawole

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Link-State-Aware Proactive Data Delivery in Integrated Satellite–Terrestrial Networks for Multi-Modal Remote Sensing by Ranshu Peng, Chunjiang Bian, Shi Chen, Min Wu

“…This paper seeks to address the limitations of conventional remote sensing data dissemination algorithms, particularly their inability to model fine-grained multi-modal heterogeneous feature correlations and adapt to dynamic network topologies under resource constraints. …”
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From reactive to proactive: Machine learning models for continuous positive airway pressure adjustments using heart rate variability and oximetry-related parameters by Chih-Fan Kuo, Yi-Chih Lin, Ze-Yu Chen, Jiunn-Horng Kang, Cheng-Chen Chang, Zhihe Chen, Arnab Majumdar, Yen-Ling Chen, Yi-Chun Kuan, Kang-Yun Lee, Po-Hao Feng, Kuan-Yuan Chen, Hsin-Chien Lee, Wun-Hao Cheng, Wen-Te Liu, Cheng-Yu Tsai

“…Therefore, this study developed machine learning models using leading indicators, such as heart rate variability (HRV) and oximetry-related metrics, to proactively predict optimal adjustment timings. Methods CPAP titration data were first collected from a sleep center in northern Taiwan. …”
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The Peculiar Features of Fintech Development in Japan by V. A. Gorshkov

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Simulating the Deterioration Behavior of Tunnel Elements Using Amalgamation of Regression Trees and State-of-the-Art Metaheuristics by Eslam Mohammed Abdelkader, Abobakr Al-Sakkaf, Moaaz Elkabalawy, Abdelhady Omar, Ghasan Alfalah

“…Finally, the findings of this research highlight the potential of hybrid metaheuristic models as powerful tools for infrastructure management, offering actionable predictions that enable proactive maintenance strategies and resource optimization. …”
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