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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...

Nanophotonics, which explores significant light–matter interactions at the nanoscale, has facilitated significant advancements across numerous research fields. A key objective in this area is the design of ultra-compac...

Artificial intelligence (AI), machine learning (ML), and advanced computing techniques are now central to the digital transformation journey, reshaping industries, academia, and society. This special issue of the Journal...

Designing an optimal departure trajectory for an airport can minimize fuel emissions within the surrounding airspace and noise perceived by nearby populations, which brings positive sociological and economic implications...

Parameter calibration is essential for ensuring the accuracy of microscopic traffic simulations. The expected speed is a critical parameter that characterizes behaviors of vehicles in most simulation models, which is inf...

Conjugate gradient method (CGM) is one of the most efficient numerical methods for solving unconstrained optimization problems. It is also known as an iterative method with simple formulation. The classical CGM has alway...

The modern development of renewable energy sources requires the improvement of energy conversion technologies for sustainable power supply. One of the most promising methods of generating electricity is the use of photov...

Optimal evacuation route planning is a crucial factor in disaster mitigation, especially in areas with limited communication infrastructure. This study proposes the application of the A-Star method for evacuation route o...

Metasurface-assisted waveguide couplers, or meta-couplers, innovatively link free-space optics with on-chip devices, offering flexibility for polarization and wavelength (de)multiplexing, mode-selective coupling, and gui...

Abstract Heat dissipation performance is critical to the design of high-end equipment, such as integrated chips and high-precision machine tools. Owing to the advantages of artificial intelligence in solving complex task...

Penataran Temple, a cultural heritage site in Blitar Regency, stands as a testament to the pinnacle of past Nusantara civilization. Despite its significance, the protection of Penataran Temple requires optimization. This...

Abstract Rotational feeding combined with shift feeding electrochemical trepanning (RF-SF ECTr) is an effective method for machining aeroengine blisks. However, given the variable relative motion of the electrodes and th...

The (static) traffic assignment (TA) problem, which computes network equilibrium flows from origin–destination (OD) demand under flow conservation, is central to transportation modeling. As multimodal transportation sy...

The utilization of metamaterials plays a pivotal role in integrated photonics. The precise design of metamaterials enables them to finely manipulate light, resulting in an ultra-compact footprint and exceptional performa...

Microscopic traffic flow models and simulations are crucial for capturing vehicle interactions and analyzing traffic. They can provide critical insights for transport planning, management, and operation through scenario ...

The paper aims to present the results of adaptation of the Ukrainian version of Autonomous Career Motivation Scale (Sverko & Babarović, 2024). Methods. At the preparatory stage of adaptation the double translation proce...

Pulsed laser deposition (PLD), as an advanced synthesis technology with unparalleled control over thin films, has evolved into a universal platform for optoelectronic materials engineering. Its unique advantages includin...

Abstract Due to the different microstructures caused by the heat source effect, welding joints exhibit significant differences in mechanical properties compared to the base material. Precise characterization of the const...

Accurate and efficient traffic speed prediction is crucial for improving roaDongguand safety and efficiency. With the emerging deep learning and extensive traffic data, data-driven methods are widely adopted to achieve t...

Abstract Background The COVID-19 pandemic exposed significant limitations in health systems worldwide and emphasized the need for updated National Health Policies, Strategies, and Plans (NHPSPs). This study aimed to eval...

Empowering nanophotonic devices via artificial intelligence (AI) has revolutionized both scientific research methodologies and engineering practices, addressing critical challenges in the design and optimization of compl...

The growing demand for sustainable chemical processes has spurred interest in enzymatic synthesis, particularly for valuable compounds like ethyl lactate. Traditional chemical methods often suffer from drawbacks, highlig...

Photonic device development (PDD) has achieved remarkable success in designing and implementing new devices for controlling light across various wavelengths, scales, and applications, including telecommunications, imagin...

Abstract Accurate prediction of manufacturing carbon emissions is of great significance for subsequent low-carbon optimization. To improve the accuracy of carbon emission prediction with insufficient hobbing data, combin...