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Materias / palabras clave: quantitative modelling, network-based modelling, complex networks, real world problems; Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods

Materias / palabras clave: transportation science and technology, intelligent transportation systems, smart transportation, transport planning, network modelling, traffic safety; Technology: Engineering (General). Civil engineering (General): Tran...

Materias / palabras clave: neural networks, computational neuroscience, decision making, neurons, brain modelling; Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry

Materias / palabras clave: complex biological networks, molecular biology, systems biology, cellular dynamics, biological modelling; Science: Biology (General)

Materias / palabras clave: machine learning, randomized learning, neural networks, stochastic configuration networks, industrial data modelling, internet industry; Science: Mathematics: Instruments and machines: Electronic computers. Computer scie...

Abstract Background Improving equitable access to fresh fruit and vegetables (FV) remains a critical public health priority in the UK, particularly in low-income communities where affordability, accessibility, and social...

Abstract Echo State Networks are recurrent neural networks that leverage a random reservoir’s dynamics, training only a simple readout layer. This approach is computationally efficient but limits network performance. B...

The prediction of suspended sediment concentration (SSC) is of critical importance for the management of aquatic ecosystems, flood control, and erosion assessments. However, the continuous measurement of SSC is technical...

The search for new energy sources has intensified today worldwide. In Argentina, bioenergy continues to be the energy with minor participation in the energy matrix. Therefore, research should focus on searching for new s...

ABSTRACT Transformers have been widely applied to hyperspectral image classification, leveraging their self‐attention mechanism for powerful global modelling. However, two key challenges remain as follows: excessive me...

This paper explores the application of convolutional neural networks (CNNs) in predictive modelling for seismic events and flood risks, with a particular focus on forecasting extreme quantile events that exceed historica...

The Global Flood Awareness System (GloFAS) is a promising flood-modelling tool available for most river basins worldwide. However, it contains inherent biases, notably linked to its spatial resolution. This study propose...

Third-generation biomass constitutes a renewable energy source that could substitute fossil fuels. This study evaluated the biomethane potential (BMP) of Ulva sp., Codium sp. and Undaria pinnatifida through anaerobic dig...

Research background: innovation is a key factor in determining the growth of the creative industries sector. However, it also highlights the importance of the creative industries to the broader innovation process within ...

Abstract Background Postpartum depression and anxiety are common and burdensome. Physical activity (PA) is a scalable intervention, yet the comparative effectiveness of PA modalities and optimal dosing in the postpartum ...

Pain after surgery is of major perioperative concern because it is associated with substantial complications, including chronic post-surgical pain (CPSP) development. The CPSP incidence is high, and its accurate predicti...

IntroductionLiver diseases continue to impose a major global health burden, and therapeutic progress is constrained by the limited availability of validated small-molecule modulators. TEAD4, a central Hippo-YAP effector,...

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...

Abstract The rapid growth of distributed energy resources (DERs) is reshaping the operational landscape of transmission and distribution networks, creating new challenges for maintaining system‐wide security, economic ...

Background Individual differences have been detected in individuals with opioid use disorders (OUD) in rehabilitation following protracted abstinence. Recent studies suggested that prediction models were effective for in...