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IntroductionWe address moral uncertainty in reinforcement learning (RL) by proposing a framework that integrates multiple ethical theories into decision-making. Existing approaches rely on single moral frameworks or hand...

Pilot Reports (PIREPs) are an important source of information that aids, other pilots, air traffic control, and operational aviation meteorologists in terms of forecasting and updating weather advisories such as SIGMETs....

We present a strategy for collaborative reasoning and automatic knowledge sharing in which multiple agents discuss about some piece of information until they reach an agreement. A structured argumentation system (DeLP) i...

Abstract In order to address health monitoring issues on offshore wind turbines, while taking into account engineering know-how and constraints, we propose a robust model identification procedure based on reliability of ...

Abstract The adoption of Electric Vehicles (EVs) has accelerated due to ongoing technological advancements, cost reductions, and a growing awareness of environmental issues. However, despite this progress, challenges per...

Abstract Objective To investigate the application effect of 3D printing combined with MR technology in teaching the percutaneous screw fixation of scaphoid fractures under C-arm fluoroscopy, providing new ideas to enhanc...

Abstract The rapid adoption of AI is transforming industrial wastewater treatment by enabling real-time monitoring, predictive control, and operational optimization. Publications on the subject accelerated sharply betwee...

The initial step in most object-based classification methodologies is the application of a segmentation algorithm to define objects. In the context of synthetic aperture radar (SAR) image analysis, the presence of speckl...

Abstract This article proposes a simple and reliable Dynamic Economic Emission Dispatch (DEED) model for a power system integrating Renewable Energy Sources (RES), including photovoltaic (PV) systems and wind energy. The...

Abstract To address the limitations of existing oil-well production forecasting models, particularly suboptimal hyperparameter selection, difficulties in fine-tuning, insufficient global search capability, and slow conve...

Abstract The purpose of this study is to provide a more comprehensive and updated analysis of how green finance enabled by financial technology (Fintech) and digital innovation, contributes to sustainability in economic ...

Biostimulation and bioaugmentation are promising for remediating acid in-situ leaching (AISL) U mine groundwater, yet their efficiencies, mechanisms, and acid stress regulation remain unclear. This study collected ground...

The article reveals the impact of digital transformation on the efficiency of management of financial and operational risks, and on the resilience of the Ukrainian banking system. It is substantiated that the digital tra...

The purpose of this article is to investigate utilization of common-rail turbocharged diesel aero-engines as primary propulsion powerplant for light-to-medium helicopters and airplanes. This article summarizes the result...

Public service organisations, particularly universities, lack structured methods to evaluate their operational readiness for digital transformation, hindering strategic planning in the Industry 4.0 era. This paper addres...

Background: Conventional electrocardiography (ECG) analysis faces a persistent dichotomy: Expert-defined features provide interpretability but are limited in capturing latent high-dimensional patterns, whereas deep learn...

Introduction. Magnetic separation is one of the most effective and widely used techniques for the purification and enrichment of materials. It plays a crucial role in mineral processing, recycling, and environmental appl...

Despite widespread policy emphasis on Higher Order Thinking Skills (HOTS) in elementary mathematics education, prior research has predominantly focused on teachers' declarative perceptions, leaving open the question of w...

Online advertising platforms commonly employ Cost-Per-Click (CPC) and Cost-Per-Thousand-Impressions (CPM) models to determine advertiser fees based on user engagement and exposure metrics. While these pricing arrangement...

ABSTRACT The objective of the present work was to evaluate the performance of a compartmentalized anaerobic reactor (CAR) followed by anaerobic filter in real scale, effluent treatment from fish fridge processing. The wo...

While conventional optical sensors hold historical significance, they face inherent limitations in sensitivity, operational intricacies, and bulky size. A breakthrough in this realm comes from the advent of metasurface s...

Abstract The ability to monitor the safety of natural gas pipelines is guaranteed by leak detection. Systems are capable of responding quickly, and very precisely to events because delays during such events can lead to s...

ABSTRACT    Context and background Fit-for-Purpose Land Administration (FFP-LA) framework provides a pragmatic approach to enhancing tenure security, reducing disputes, and facilitating planned urban development in...