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Decision Support Systems (DSS) are widely recognized as important tools supporting decision making processes, quite little adopted yet to support sustainable spatial and mobility planning, despite a wide range of literat...

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...

Induction heating is gaining attention as an electrified heating method for temperature swing adsorption (TSA) because it can deliver fast and uniform heat directly within the adsorbent bed. However, scaling this approac...

The implementation of dynamic task assignment between AGVs is an important step in enhancing the overall efficiency of AGVs in a smart warehouse environment. However, existing zone-based systems limit flexibility in term...

"Modifying neural activity is a substantial goal in neuroscience that facilitates the understanding of brain functions and the development of medical therapies. Neurobiological models play an essential role, contributing...

The Beijing–Tianjin–Hebei region of China features a unique topographic structure. Influenced by synoptic-scale systems, the region’s atmospheric strata over the plains are distinct. This study utilizes ground aero...

The article contains a feasibility analysis of using big data of payment systems for building forecasting models for the dynamics of consumer demand as a core factor of the retail turnover. The relevance of this research...

ABSTRACT Oscillatory dynamics play a central role in the description of a broad spectrum of physical systems. While often well‐approximated by linear models, the essential long‐term evolution and stability of these s...

Rapid progress of experimental biology has provided a huge flow of quantitative data, which can be analyzed and understood only through the application of advanced techniques recently developed in theoretical sciences. O...

The application of Internet of Things (IoT) technology is a significant step toward improving the sustainability and responsiveness of the built environment. The current work introduces the Adaptive and Sustainable IoT I...

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...

Context. Co-orbital objects, also known as Trojans, are celestial bodies that share a 1:1 mean motion resonance orbit with a planet. Many planets in our Solar System hold Trojans, yet none has been confirmed in exoplanet...

Controllability is a fundamental property of control systems, serving as the prerequisite for controller design. While controllability test is well established in modelic (i.e., model-driven) control systems, extending i...

Reconstructing the early spatiotemporal dynamics of emerging infectious diseases (EIDs) is essential for effective public health response but remains difficult due to reporting delays, heterogeneous surveillance systems,...

Dynamic gesture recognition is a core technology for human–computer interaction, yet existing methods face prominent limitations in hand spatial topology modeling, long–short-term temporal feature fusion, and general...

IntroductionGlobalisation has transformed the way families interact, communicate, and navigate their relationships across contemporary societies. In Nigeria, particularly in urban centres such as Lagos State, increasing ...

Small-scale agricultural production systems are characterized by high diversity and complex interactions that challenge their long-term ecological sustainability. This study presents an early-stage methodological prototy...

Fluorinated ether-based electrolytes represent a promising avenue for improving lithium-ion battery performance and safety, yet the molecular mechanisms governing ion transport in these systems remain insufficiently unde...

ABSTRACT This paper presents HealthNet, a novel framework for the dynamic optimisation of healthcare transportation networks using multi‐agent reinforcement learning. HealthNet leverages a spatiotemporal dependency mod...

Abstract Mollisols of the Eurasian steppe belt are highly productive soils whose hydraulic functioning depends on aggregate hierarchy and management-induced structural dynamics. This study compared the hydro-structural p...

Introduction. Metaheuristic algorithms are effective for solving complex power system optimization problems characterized by nonlinearity, multimodality, and high dimensionality. Nature-inspired strategies based on adapt...

Abstract The ever-growing and increasing diversity of IoT ecosystems, the seamless interoperability, scale, and near real-time automation have remained grand challenges. This paper presents a solution enterprise semantic...

Abstract Background An overarching goal of STEM education is to support learners in developing systems thinking (ST), a set of cognitive resources used to work with and understand systems. Although systems are widespread...

We have applied the short-time dynamics method to the gas-liquid transition to detect the supercooled gas instability (gas spinodal) and the superheated liquid instability (liquid spinodal). Using Monte Carlo simulation,...