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Abstract Against the backdrop of urgent demand for efficient scheduling and precise services in university innovation and entrepreneurship ecosystems, this study proposes an optimization path for ecosystem construction i...

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 ...

Abstract To solve the problem of poor effectiveness and efficiency in traditional urban and rural planning layout optimization methods, an innovative urban and rural planning layout optimization method combining ant colo...

INTRODUCTION: With the rapid growth of offshore wind power integration and increasing wind power penetration, accurate power forecasting has become essential for maintaining grid stability and supporting economic dispatc...

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...

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...

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...

ObjectiveTo develop and validate a quantitative framework for optimizing maritime renewable energy integration, advancing SDG 7 targets through improved deployment efficiency and socioeconomic impact assessment.Theoretic...

Abstract Background The residential building sector is a major contributor to Germany’s greenhouse gas emissions. Over 60 % of the energy used for space and domestic hot water heating comes from fossil fuels sources a...

This paper investigates secure and energy-efficient multi-user symbiotic radio (SR) communication assisted by an active reconfigurable intelligent surface (ARIS). We consider a downlink multi-user unicast scenario where ...

Ammonia/diesel blended fuel significantly reduces carbon emissions, but it has issues such as high unburned ammonia emissions and low combustion efficiency. To achieve the goals of carbon peak and carbon neutrality, this...

Prediction of building occupancy is a very important element of structural health monitoring (SHM), smart building systems, and energy management. In this study, a number of visualization tools are used to analyze the pe...

Abstract In response to the dual challenges of complex static obstacles and frequent dynamic disturbances in the construction site environment, this paper proposes a hybrid path planning strategy that integrates global s...

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...

Digital health increasingly relies on artificial intelligence for clinical decision-making, patient management, and distributed learning, yet two persistent challenges remain: the computational complexity of optimization...

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 response to the operation problem of electric vehicle charging spots with grid forming capabilities within grid-connected micro-grids, this paper studies an optimization method for the operation of grid-forming chargi...

ObjectiveIn China, the deep coalbed methane (CBM) industry has emerged as a key sector for the reserve growth and production addition of natural gas. However, the current CBM technical standard system, which was develope...

ObjectiveRescue drilling rigs undergo intense vibration at borehole mouths when operating in a confined underground space of coal mines. To address this issue, this study designed a compact multi-directional, passive dyn...

Regression testing plays a critical role in ensuring the reliability and quality of software following continuous integration and development. However, executing all test cases during regression testing can be time-consu...

Ultrasound-assisted interesterification is a new approach for biodiesel production, and in this study, coconut oil was selected as the raw material to produce biodiesel using this technology. Therefore, this study aims t...

To address the issues of low solution accuracy, premature convergence, and susceptibility to local optima in the Parrot Optimization (PO) algorithm, a Reinforced Multi-strategy Parrot Optimization (RMPO) algorithm has be...

Abstract The emergence of Internet-of-Things devices and expanding data processing demands have led to the popularization of edge computing. But energy efficiency challenges and security problems also remain difficult in...