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Floating offshore wind turbines (FOWTs) raise concerns among coastal communities due to their potential impacts on marine biodiversity and fisheries. This issue is particularly striking in France, where the government is...

High‐entropy alloys (HEAs) are emerging as promising candidates for advanced electrocatalysis due to their multi‐elemental compositions, tunable electronic structures, and remarkable stability. Recent advances in syn...

Driven by satellite remote sensing observations, deep learning models provide a promising solution for the rapid estimation of subsurface thermohaline structures. By learning from large-scale paired surface–subsur...

The present work investigates the compressive mechanical response of three lattice structures manufactured via VAT photopolymerization. A bio-inspired architecture, derived from the observation of Euplectella aspergillum...

Abstract The Broad Learning System (BLS) provides an effective framework for nonlinear mapping, offering advantages over traditional deep neural networks through its expanded input node architecture. While BLS has demons...

Metamaterial based approaches have emerged as promising solutions for mitigating mutual coupling in compact multiple input multiple output antenna systems operating at fifth generation sub-6 GHz frequencies for smartphon...

Porous metallic structures such as Kelvin cells have attracted increasing attention due to their high surface-to-volume ratio and design flexibility, making them promising candidates for lightweight and efficient heat ex...

The purpose of this study is to justify the design parameters of spiral-vortex equipment ensuring energy-efficient desulfurization of flue gases from autonomous medium-capacity gas-piston power plants (GPPPs). The study ...

Abstract This research employs hybrid machine learning techniques to optimize the mechanical properties of 3D-printed polylactic acid (PLA) lattice structures. By integrating random forest (RF) and XGBoost (XGB) algorith...

Wood is a natural material widely used in construction. Unlike artificial building materials, wood is characterized by natural defects (flaws) that can negatively affect its performance under load. This study proposes a ...

This paper presents a two-way coupling methodology between the robust Smoothed Particle Hydrodynamics (SPH)-based fluid solver DualSPHysics and the lumped-mass mooring dynamics solver MoorDynPlus. Such integration enable...

In response to the threats posed by underwater explosions to the stability of island-reef engineering structures and coral reef ecosystems, this study investigates the dynamic response characteristics and carbon emission...

Abstract Gate and earth-rock dam systems are the preferred dam types for river sections under deep overburden conditions, low head, and high flow rates. This study established a three-dimensional finite element model inc...

Real-time routing on large-scale road networks remains a critical challenge for intelligent transportation systems, particularly under high query loads and increasing graph sizes. While classical shortest path algorithms...

The increasing penetration of renewable energy sources (RES) reduces power system inertia, causing severe frequency excursions following disturbances. Conventional Automatic Generation Control (AGC) using fixed-gain cont...

Abstract This research proposes an innovative Arabic financial forecasting model that integrates linguistic relation extraction with advanced deep learning and machine learning techniques. The framework combines Arabic O...

Radiography or X-ray imaging is a diagnostic imaging used in medicine to produce images of inner anatomical structures such as bones, teeth, lungs, and chest organs. Impulse noise is one of the major factors that degrade...

In the seismic design of reinforced concrete moment-resisting frame (RC MRF) structures equipped with steel damper columns (SDCs), design criteria should consider both peak responses (e.g., story drift) and cumulative re...

Recent advancements in helmet design demonstrate that mimicking natural models can enhance both aerodynamics and safety protection. Thus, this paper comprehensively reviews the bio-inspired helmet designs reported in the...

User populations in modern recommendation systems consist of diverse communities with distinct and often non-overlapping preferences. However, most existing models, such as traditional Variational Autoencoders (VAEs), op...

The primary objective of this study was to compare the density-based (OPTICS-Ordering Points To Identify the Clustering Structure) and graph-based (Spectral Clustering) algorithms for identifying Normalized Difference Ve...

Underwater radiated noise (URN) from submarine propulsors requires reliable flow prediction as a prerequisite for cavitation and acoustic analyses. This study validates a computational fluid dynamics (CFD) workflow to pr...

This study investigates the impact of fiber composition and fabric structure on the liquid absorption and retention performance during pressure of weft-knitted fabrics designed for reusable incontinence products. Twelve ...

This study focuses on the explainability of AI operations for diagnosing degradations in cloud applications. Log data can provide essential contextual information on misbehaving applications in monitoring, evaluated agai...