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Abstract Grid-connected renewable energy systems with high penetration rates exacerbate frequency fluctuations in microgrids, making traditional control methods ill-suited for random source-load variations. This paper pr...

Global food security relies heavily on rice production, which is continuously threatened by crop diseases. Although deep learning (DL) models have demonstrated strong diagnostic performance, their high computational and ...

Abstract Early and reliable smoke detection is critical for preventing fire-related disasters, safeguarding human lives, and ensuring infrastructure safety. Conventional sensor-based systems, however, are often constrain...

The modern blockchain industry is characterized by the presence of numerous isolated, specialized platforms, which create critical barriers to interaction and call into question the effectiveness of decentralized infrast...

Abstract When several traditional flow-shop lines operate in parallel, the operation mode with no communication between production lines will no longer be the optimal production paradigm. This paper describes matrix manu...

Abstract Recognizing tactical formations is a critical task in professional football performance analytics. However, existing methods often fail to capture the dynamic and continuously evolving nature of modern tactical ...

The increasing complexity of pharmaceutical management in pharmacies demands efficient systems to streamline drug classification and inventory control. As pharmacies handle a diverse range of formulations, including tabl...

This research focuses on developing a neural network model in the Python programming language to solve the technological problem of forecasting potato yields with limited agroclimatic data. The developed program is consi...

The article substantiates the need to modernize customs statistics of Ukraine as a key tool for forming foreign economic policy and ensuring international comparability of data in the context of European integration. The...

Abstract Electrostatically tunable quantum confinement in nanoscale systems offers unprecedented opportunities for manipulating artificial quantum matter, positioning these platforms at the frontier of quantum science. T...

Abstract Emotion recognition is fundamental to building socially intelligent robotic systems capable of effective and adaptive Human-Robot Interaction (HRI) and Collaboration (HRC). This literature review synthesizes rec...

En este trabajo se analizan diferentes arquitecturas de redes convolucionales sencillas para generar espectrogramas sintéticos correspondientes a registros de audio de ballenas barbadas. La sencillez en el modelo juega ...

The rapid proliferation of digital devices has generated vast amounts of data, presenting significant challenges in collection, processing, and analysis that traditional systems struggle to overcome. This study investiga...

Two kinds of functionalized nanostructured hybrid microspheres, based on the bridged silsesquioxane family, were synthesized by employing the sol-gel method via self-assembly of two different organic-inorganic bridged mo...

We demonstrate a versatile heterogeneous integration platform unifying III–V gain with thin-film lithium niobate (TFLN) photonic circuits to create high-performance lasers with integrated functionality. This breakthrou...

The remarkable success of large language models (LLMs) in code generation has transformed software development, with systems like Codex, CodeGen, and StarCoder demonstrating strong capabilities in synthesizing functional...

Accurate identification of plant-parasitic nematodes is fundamental to effective crop protection and the maintenance of soil ecosystem integrity. This study integrates morphological characterization with deep learning-ba...

Reliable low-latency delivery over satellite downlinks remains fundamentally constrained by long propagation delays, burst-correlated packet loss, and the limited effectiveness of retransmission-based recovery. Although ...

Abstract Background Cumulus granulosa cells (CGCs) are essential for oocyte support, metabolic cooperation, and steroidogenesis, yet they deteriorate rapidly in conventional 2D culture, limiting long-term studies of thes...

Video-based road intelligent detection constitutes a critical component in modern intelligent transportation systems, serving as a crucial role for comprehensive transportation planning and emergency traffic management. ...

Abstract With the increasing demand to reduce emissions and save energy, hydraulic reservoirs require new architecture to optimize their weight, space, and volume. Conventional open reservoirs are large, heavy, and easil...

Legged robots, particularly quadrupeds, have emerged as an essential research focus for traversing unstructured environments where wheeled systems are limited. This paper presents a novel Multi-Level Cognitive Control Ar...

Abstract BackgroundDepression affects more than 300 million people worldwide and is a leading contributor to the global disease burden. Traditional diagnostic methods, such as structured clinical interviews, ...

ABSTRACT Healthcare systems are progressively shifting toward long‐term, personalized models that rely on continuous physiological monitoring, thereby intensifying the need for advanced bioelectronic technologies. The ...