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Technological advances have led to the prevalence of small unmanned aerial systems (sUAS) which has proven to be a security concern for fixed facilities to include prisons, airports, and forward operating bases. This stu...

Due to enormous technological progress, socio‑economic science has gained new possibilities of investigating complex and not well‑known socio‑economic phenomena. One of the recent promising research approaches is a...

This paper presents a methodology to manage the support to design in ATM operations. We propose a workflow for the design of ATM solutions in a performance-based setting. The methodology includes the evaluation of the im...

Digital Twin Networks (DTNs) are emerging as a key enabler for the robust optimization and lifecycle management of next-generation networks. However, current DTN approaches still rely heavily on manual design, implementa...

In environmental management, developing a scientific and methodological approach to the design and optimization of technological systems remains a pressing issue. The proposed approach is based on the integration of onto...

This paper proposes an innovative model-free deep reinforcement learning-based controller (RL-C) for a grid-connected 5-level packed-U-cell (PUC5) multilevel inverter (MLI). The controller is designed to deliver a high-q...

Climate change and human impact are increasing the frequency and severity of flooding, making real-time, accurate simulation of mountainous flood inundation an urgent necessity. In this study, we developed a proxy model ...

German transmission system operators received around 400 GW of battery storage connection requests in 2024, an enormous increase from the current 2.3 GW installed capacity. However, uncertainty remains regarding the impa...

In recent years, large language models and agent systems based on them have been considered a promising tool for the digital transformation of public administration. However, the practical effectiveness of such systems i...

Extremity fracture surgery is the standard surgical intervention for traumatic musculoskeletal injuries. The maturation of ultrasound-guided visualization techniques has facilitated the widespread application of peripher...

In this work, we consider an agent-based model in order to study the wealth distribution problem where the interchange is determined with a symmetric zero-sum game. Simultaneously, the agents update their way of play try...

Mathematics and computer science play a pivotal role in modern biology. Dynamical models based on differential equations are particularly adapted to describe dynamic behaviors of many biological processes. However, tradi...

This paper presents a model and its design and implementation issues needed to create intelligent agents forinformation searching and filtering. It is done in order to decrease the information overload which users are ex...

Aim: The iridium(III) [Ir(III)] complexes exhibit anticancer properties, and along with their photoluminescence properties, they can be employed as diagnostic agents. Hence, we have tried to evaluate both properties. For...

Climate change is creating serious challenges for fisheries in coastal Nigeria. Fisheries extension workers, who support fishers with advice and training, must themselves be resilient to continue delivering services. Thi...

Many factors determine the efficiency of evacuation at an airport during emergencies. These factors are very complicated and many times, unpredictable. The Federal Aviation Administration provides numerous advisory circu...

Dairy farms increasingly deploy sensor networks that generate high-frequency behavioral and spatial data, yet translating these multimodal streams into actionable welfare insights remains a key challenge. This study pres...

Efficient UAV path planning in large and dynamic environments requires adaptive strategies that account for varying regional importance. Traditional coverage or Reinforcement Learning-based methods often suffer from redu...

Abstract Background Breast cancer prognosis remains challenging, and the emerging field of cancer neuroscience suggests that the nervous system plays a crucial yet underexplored role in tumor progression. This study aime...

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...

El objetivo de este artículo es entender cómo se forman las maneras de sentir, pensar y actuar (la subjetividad) en el ámbito laboral. Para ello estudiamos, analizando entrevistas semiestructuradas y material document...

Amid the convergence of technological, macroevolutionary, and demographic singularities, conventional approaches to analyzing and forecasting economic growth are increasingly losing relevance and predictive power. The su...

BackgroundPancreatic cancer (PC) is characterized by a highly immunosuppressive microenvironment, limiting the efficacy of immunotherapy. T-cell regulation plays a pivotal role in anti-tumor immunity. However, the progno...

The evolution of metropolitan cities and increasing travel demand impose stringent requirements on traffic assignment methods. Multi-agent reinforcement learning (MARL) approaches outperform traditional methods in modeli...