Buscar recursos académicos

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...

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...

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...

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...

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 purpose of the paper is to examine the structural and functional transformation of the digital tourism ecosystem during the transition from traditional intelligent assistants, such as LLM-based chatbots, to a new par...

This study comprises two distinct but parallel investigations concerning Haemaphysalis longicornis in Korea: an exploratory ecological survey of vector density across 20 sites in 2023 and a laboratory-based screening of ...

Autonomous microrobotic navigation in life sciences is highly challenging due to environmental disturbances, unpredictable phenomena, diverse obstacles, and dynamic changes. These significantly limit motion of microrobot...

Federated learning (FL) is a pivotal paradigm for financial institutions to collaboratively train models while preserving data privacy, yet standard frameworks are hampered by a triad of challenges: vulnerability to pois...

ABSTRACT Background Skin cancer is one of the most prevalent malignancies worldwide, characterized by the abnormal growth of skin cells and significant clinical challenges. Conventional treatments—including surgery, ch...

Abstract We propose a method that enables large language models (LLMs) to control embodied agents through the generation of control policies that directly map continuous observation vectors to continuous action vectors. ...

Convolutional Neural Network Twin Arm Robot for Automated Packing of Electronic Components is an intellectual robotic system that is developed as a COCA (Collaborative Operation Control Agent) operational handler of the ...

Abstract In power generation and industries where CO2 emissions are unavoidable, carbon capture, utilisation, and storage is an important tool to offset climate change. Many carbon capture agents are blends of aqueous am...