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This article examines the concept of Generative Engine Optimization (GEO) in the context of the transformations enabled by the integration of generative artificial intelligence into contemporary information search an...

The focus of this research is optimizing a wind power plant using a Permanent Magnet Synchronous Generator (PMSG). The backpropagation method of the artificial neural network system was chosen to optimize the output powe...

Abstract Generative artificial intelligence is reshaping how researchers discover protein-binding compounds and develop them into drug candidates. Unlike traditional methods that screen existing molecules, structure-base...

Line breeding programs of autogamous crops like barley and wheat are characterized by multiple crosses with high variability in cross means and segregation variances. From theory of order statistics, we derived formulas ...

Flaveria bidentis is an invasive plant containing Sulfated Flavonoids (SFs) with therapeutic potential. The extraction of these compounds would add value to the biomass generated during weeding. This work reports the opt...

Abstract In rural areas, unreasonable access of distributed photovoltaic (DPV) may pose a significant challenge to the safe operation of the power network. To address this, determining the maximum hosting capacity of net...

Endurance versus payload in UAVs is a direct trade-off governed by airframe mass and structural efficiency. Generative design (GD) and topology optimization (TO) are increasingly used to develop lightweight, high-perform...

Access to reliable and sustainable power generation in remote areas is a critical challenge faced by many regions worldwide. In such areas, hybrid energy systems integrating solar, wind, and battery components have emerg...

Abstract The ground plane plays an important role on the performance of a planar inverted-F antenna (PIFA). In this regard, the ground plane modification using slots is proposed in this research to obtain a dual band ant...

The integration of solar energy into modern power grids supports sustainability and energy efficiency but also introduces power quality (PQ) challenges such as harmonic distortion, voltage sag, swell, and fluctuations. I...

Due to the limitation of lacking elevation resolution, ground-based interferometric radar suffers from serious layover problem when applied to building deformation monitoring. Ground-based tomographic arc-scanning synthe...

Abstract Pressure fluctuation due to rotor-stator interaction in turbomachinery is unavoidable, inducing strong vibration in the equipment and shortening its lifecycle. The investigation of optimization methods for an in...

In this paper, a near-field integrated sensing and communication (ISAC) using a multi-waveguide pinching antenna system (PASS) is proposed, where discrete radiating particles are flexibly clamped along multiple dielectri...

In this study, a new methodology is developed to optimize cold chain distribution routes of agricultural products with a view to reducing the costs of distribution. It develops a mathematical model that considers multipl...

Abstract Fine particulate matter produced during the rapid industrialization over the past decades can cause significant harm to human health. Twin-fluid atomization technology is an effective means of controlling fine p...

Abstract Background Optimization of biotechnological processes is traditionally limited by time-consuming trial-and-error approaches and the complexity of simultaneously optimizing multiple, often conflicting objectives....

Electric Discharge Machining (EDM) is a non-traditional machining process that utilizes electric sparks between an electrode and a workpiece submerged in a dielectric fluid to ablate a material. It is commonly used in di...

Nowadays, performing multi-objective optimizations of actual building designs is one of the most challenging problems of the building energy efficiency area. This paper aims to propose an efficient method to solve multi-...

Abstract When several traditional flow-shop lines operate in parallel, the operation mode with no communication between production lines will no longer be the optimal production paradigm. This paper describes matrix manu...

This paper proposes a novel deterministic optimization approach for the Unit Commitment problem (UC), involving thermal generating units. A mathematical programming model is first presented, which includes all the basic ...

Abstract Friction Stir Welding (FSW) is a reliable solid-state joining technique for aluminium alloys, where conventional fusion welding often causes porosity, solidification cracking, and excessive heat-affected softeni...

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...

Abstract Robot manipulators perform a point-point task under kinematic and dynamic constraints. Due to multi-degree-of-freedom coupling characteristics, it is difficult to find a better desired trajectory. In this paper,...

Introduction. Metaheuristic algorithms are effective for solving complex power system optimization problems characterized by nonlinearity, multimodality, and high dimensionality. Nature-inspired strategies based on adapt...