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421
Impact of EU Laws on AI Adoption in Smart Grids: A Review of Regulatory Barriers, Technological Challenges, and Stakeholder Benefits
Published 2025-06-01“…The paper further explores stakeholder benefits, including enhanced grid stability, cost reductions through automation, and improved sustainability targets aligned with the EU’s broader energy and climate strategies. …”
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422
Energy Market Manipulation via False-Data Injection Attacks: A Review
Published 2025-01-01“…Locational Marginal Prices (LMPs) are critical indicators in modern energy markets, representing the cost of delivering electricity at specific locations while considering the generation and transmission constraints. …”
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423
A Hybrid Graph-Based Risk Assessment and Attack Path Detection Model for IoT Systems
Published 2025-01-01“…Critical factors such as production limitations, cost constraints, and insufficient technical capabilities have rendered these devices more vulnerable and at higher risk compared to traditional devices. …”
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424
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425
Statistical learning-driven parameter tuning in injection molding using modified simplex method
Published 2025-09-01“…The Statistical Learning-Driven Modified Simplex Method (SLMSM) is a novel hybrid optimization framework that is introduced to resolve this gap. The SLMSM fine-tunes injection molding process (IMP) parameters for improved production consistency by combining the Modified Simplex Method (MSM) with regression-based statistical learning (SL). …”
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426
Hyperparameters optimization of evolving spiking neural network using artificial bee colony for unsupervised anomaly detection
Published 2025-07-01“…As such, this work covers the current research gap by suggesting a novel method to optimize the hyperparameters of eSNN called online evolving spiking neural networks-artificial bee colony (OeSNN-ABC). …”
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427
ResilioMate: A Resilient Multi-Agent Task Executing Framework for Enhancing Small Language Models
Published 2025-01-01“…Recent advances in large language models (LLMs) have been limited by their processing requirements and vulnerability to adversarial assaults, whilst short language models (SLMs) struggle with performance consistency in complex tasks. …”
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428
A Comprehensive Review of Fused Filament Fabrication: Numerical Modeling Approaches and Emerging Trends
Published 2025-06-01“…This review highlights the need for unified testing protocols, more accurate multi-physics simulations, and the integration of AI-based process monitoring to bridge the gap between numerical predictions and real-world performance. …”
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429
A Conceptual Engineering Approach to Developing a Bio-Based Hair Mask
Published 2025-03-01“…Each successful iteration brings the concept closer to market readiness, bridging the gap between sustainable product innovation and practical industrialization. …”
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430
A Review of Biomass-Based Natural Coagulants for Water Pollution Remediation: Impact of Properties and Coagulation Operational Parameters
Published 2024-11-01“…This review examines how the properties of natural coagulants, as well as coagulation process parameters, impact their ability to remove pollutants. …”
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431
Development of generating heat energy from empty oil palm bunch powder in cylinder bio-stove with pyrolysis and gasification technology
Published 2025-06-01“…The middle part is then hollowed out like a tube, which becomes a gap for the pyrolysis and gasification processes. …”
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432
Evolutionary Game Research on Stakeholder Decision-Making in Preprint Platform
Published 2025-02-01“…The public's willingness to cooperate is influenced by the costs of participation and the social dividends. …”
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433
DETERMINANTS OF INTEREST RATES ON CORPORATE DEBT
Published 2021-09-01“…Critical analysis of alternative methodological approaches of the cost of debt calculation is made. Ways of integrating of market information concerning credit default swaps into the process of expected cost of debt calculation are justified. …”
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434
Solid‐Phase Upcycling Toward the Production of Ultrahigh‐Loading Single‐Atom Catalysts
Published 2025-08-01“…Subsequent techno‐economic analysis confirms a two‐thirds reduction in production cost and greenhouse gas emissions compared to conventional hydrometallurgical and pyrometallurgical processes, thus paving a new path in the development of sustainable technologies for metal recovery.…”
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435
Electrified Enhanced Recovery of Lithium from Unconventional Sources
Published 2024-12-01“…Electrochemical extraction offers significant promise for its selectivity and low operating cost when coupled with renewable energy. This review aims to describe materials and process design considerations for electrochemical extraction of lithium from aqueous sources with a specific emphasis on ζ-V2O5 designed in our research group as an insertion host. …”
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436
A Review of Smart Camera Sensor Placement in Construction
Published 2024-12-01“…Cameras, with their low cost and efficiency, are widely used in construction management and structural health monitoring. …”
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437
Response surface optimization of lead adsorption onto teff straw-derived activated carbon
Published 2025-01-01“…Adsorption isotherm, kinetic, and thermodynamic studies revealed the mechanism and energetics of the adsorption process. The findings demonstrate the potential of TSAC as a low-cost, eco-friendly, and effective adsorbent for the removal of Pb (II) ions from wastewater, contributing to sustainable water treatment solutions. …”
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438
Types of Smart Devices Used for Beekeeping, their Development and Possible Perspectives. An Overview
Published 2025-06-01“…Modern sensor-based systems enable the continuous measurement of key hive parameters, with real-time data transmission to analytical platforms for in-depth processing. These non-invasive and cost-effective monitoring solutions have gained widespread adoption, providing beekeepers and researchers with unprecedented access to colony dynamics. …”
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439
A novel signal peptide toolbox for optimized heterologous expression of yeast pheromones in Bacillus subtilis
Published 2025-09-01“…Optimising downstream processes and achieving high product yields are essential for cost-effective and scalable bioproduction, with efficient protein secretion being a critical factor in industrial applications. …”
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440
Automated classification of chest X-rays: a deep learning approach with attention mechanisms
Published 2025-03-01“…Chest X-ray (CXR) has become the most common alternative method for detecting pulmonary diseases such as COVID-19, pneumonia, and lung opacity due to their availability, cost-effectiveness, and ability to facilitate comparative analysis. …”
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