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The parameters obtained from the piezocone penetration tests (CPTU) have been widely used for soil profiling and geostratigraphy over the decades. In this study, large amount of CPTU soundings and parallel drilling borin...

Effective crop monitoring is essential for optimizing agricultural practices and promoting sustainable production. This study explores the use of temporal Unmanned Aerial Vehicle (UAV) imagery to assess variations in cro...

It is necessary to classify crops throughout the Kharif season for food security and sustainable agriculture. During this time, there are a lot of clouds and rain patterns that are hard to predict, which makes optical sa...

Abstract Magnetic Barkhausen Noise (MBN) method is known as an effective nondestructive evaluation (NDE) method for evaluation of residual stress in ferromagnetic materials. Some studies on the feasibility of the MBN met...

The performance of lithium-ion batteries is critical across a range of applications, including portable devices, electric vehicles, and energy storage systems. Effective diagnostics of these battery systems require evalu...

This paper outlines the Trident Student Mentoring Program that runs in the College of Engineering at Victoria University, Melbourne, Australia. The program offers both embedded and stand-alone models of peer mentoring se...

Abstract Ensuring high product quality is of paramount importance in pharmaceutical drug manufacturing, as it is subject to rigorous regulatory practices. This study presents a research focused on the development of an o...

Electricity bill sharing among occupants of multi apartment buildings in Nigeria is often based on equal cost allocation, a practice that leads to billing disputes, unpaid charges, and unjust cost sharing among users wit...

Abstract In machinery fault diagnosis, labeled data are always difficult or even impossible to obtain. Transfer learning can leverage related fault diagnosis knowledge from fully labeled source domain to enhance the faul...

Abstract As the manufacturing industry shifts toward environmentally sustainable practices, grinding—a high-precision processing method—is commonly used to ensure final workpiece dimensions and surface quality. The g...

The deposition of fat, oil, and grease (FOG) from food service and residential sources in sewer pipes causes frequent blockages, sanitary sewer overflows (SSOs), and high maintenance costs, mainly due to saponification r...

Ethno-tourism is increasingly recognized as a vital tool for preserving and promoting intangible cultural heritage, particularly in countries seeking to diversify their tourism offerings. This study examines how ethno-to...

Infant cry paralinguistics provides a non-invasive signal for early assessment of physiological and affective states. Yet, most learning approaches implicitly assume that the mapping between acoustic patterns and semanti...

Abstract In practice, simultaneous impact localization and time history reconstruction can hardly be achieved, due to the ill-posed and under-determined problems induced by the constrained and harsh measuring conditions....

Photoacoustic tomography (PAT) is a hybrid medical imaging technique that offers both high contrast and a high spatial resolution. One challenging mathematical problem associated with PAT is reconstructing the initial pr...

The revised density method is improved based on analysis of interactions between ground soil, fill and piles in flow sliding. The density of fill outside the center of sliding surface needn’t be revised. The density of...

Artistic style transfer has long been possible with the advancements of convolution- and transformer-based neural networks. Most algorithms apply the artistic style transfer to the whole image, but individual users may 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...

Time-series forecasting is fundamental to decision-making across numerous domains; however, systematic temporal delays in predictions remain a largely overlooked or unrecognised phenomenon. This phenomenon occurs when fo...

This study aims to systematically analyze the new characteristics, evolution trends, and causes of major extreme weather in China in the context of global climate change, and evaluate the current forecasting, early-warni...

Abstract Monte Carlo simulations are widely used in analysis of interference between radiocommunication systems. The method performs n random experiments, each called an event, snapshot, or trial, to estimate the statist...

Abstract Online parameter identification is essential for the accuracy of the battery equivalent circuit model (ECM). The traditional recursive least squares (RLS) method is easily biased with the noise disturbances from...

Standby techniques are widely employed in power systems to enhance safety and reliability, and are typically classified as hot, warm, or cold. Recent work has emphasized warm standby because it combines key advantages of...

This study develops a first-order quasi-static framework for climbing initiation in passive handcarts and proposes two passive modules to relax the resulting geometric constraints. Unlike motorized platforms that apply t...