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Modern edge–cloud deployments integrate devices, edge servers, private networks, and cloud platforms into heterogeneous, multi-layer systems. Each layer exposes distinct metrics, measurement granularities, and tim...

Abstract Accurate classification of phonocardiogram (PCG) signals is vital for the early detection of cardiovascular diseases (CVDs), a leading cause of global mortality. However, conventional machine learning and deep l...

Despite the impressive strides of large language models (LLMs) in text summarization, their effectiveness still hinges on well-crafted prompts, a process that remains labor-intensive, subjective, and difficult to scale. ...

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...

Abstract Aiming at the problems of easy settlement and insufficient durability of traditional materials under special backfilling conditions in the northwest loess area, this study prepared controllable low-strength read...

Abstract High-end equipment always operate in low-speed and heavy-load working environments, highlighting the need for cam-lobe hydraulic motors with excellent speed stability (< 1 r/min) and ultrahigh-power rotary outpu...

Abstract The primary characteristics of an electric drive include the ability to utilize the maximum torque throughout the speed range, minimal reliance on parameters, and, if feasible, the highest efficiency. This paper...

The differences between the concepts of “tax planning”, “tax minimization” and “tax optimization” are investigated and it is established that tax minimization is the maximum reduction of all taxes, tax optimi...

The high population growth rate, the accelerated industrialization and unpredictability of oil prices in the world have considerably raised the energy demand which has enhanced the necessity of alternative and sustainabl...

The aim of this work is to create the scientific foundations of microwave extractors implementing the effect of mechanodiffusion discovered by the authors, as well as visual, kinetic, and energy substantiation of the fun...

Introduction. Nowadays, the most widely used wind energy conversion system in wind farms is based on a doubly fed induction generator (DFIG); it has a large speed range and can function in multiple modes. Problem. Harmon...

A wall jet is a typical flow field encountered in various engineering fields, including the deviation tunnels, the bottom outlets of dams, and wastewater treatment. Appropriate prediction of wall jet characteristics is h...

Abstract While multi-access edge computing (MEC) enables flexible task offloading, the inherent dynamism and complexity of real-world environments, accompanied by various uncertainties, exacerbate the challenges in offlo...

Optimization methods are valuable for making decisions and identifying the most suitable alternative based on a given objective function. One of the mathematical optimization methods is Conjugate Gradient (CG) method whi...

Abstract In a previous study, ‘response surface methodology (RSM) using a fullest balanced model’ was proposed to improve the optimization of food processing when a standard second-order model has a significant lack ...

Abstract The noncircular synchronous belt drive mechanism has demonstrated certain achievements and has been used in special fields. Research regarding noncircular synchronous belt drive mechanisms has focused on optimiz...

Abstract Multi-level inverters (MLIs) are also used in relatively high-power systems; but the goals of low overall harmonic distortion (THD) and fewer power semiconductor devices remain a design issue of serious difficul...