Abstract: Maize growth status and yield prediction are the key issues in maize planting management. Traditional prediction methods rely on single crop growth models or machine learning algorithms, ...
Abstract: This study focuses on the design, analysis, and development of a drone (unmanned aerial vehicle, UAV) capable of efficient operation for various applications. UAVs, as part of an unmanned ...
Abstract: Intelligent optimization algorithms are currently the mainstream methods for solving engineering design problems. This paper conducts a comprehensive analysis of the performance of five ...
Abstract: In this survey, we introduce Meta-Black-Box-Optimization (MetaBBO) as an emerging avenue within the Evolutionary Computation (EC) community, which incorporates Meta-learning approaches to ...
Abstract: This study offers a new approach to analysing printed character images with a focus on color spectrum differences and orientation. It examines the color spectrum variation of printouts from ...
Abstract: This paper aims to provide a comparative analysis of low-power design methods for the implementation of the Arithmetic Logical Unit using Fin- Field Effective Transistor. The study evaluates ...
Abstract: This paper focuses on the multi-objective resource allocation problem in multi-agent systems, where the objective is to find an optimal allocation policy. To solve this problem, we propose ...
Abstract: This research aims to compare the performance of Logistic Regression and Random Forest algorithms in classifying cyber-attack types. Using a data set consisting of 494,021 data points with ...
Abstract: Many practical antennas contain continuous, binary, and categorical geometrical variables. Antenna designs involving such mixed-type variables fall under the category of mixed-variable ...
Abstract: At terahertz (THz) band, the beam tunnel size becomes very small and requires an in-depth analysis of electron beam focusing behavior for a THz traveling wave tube (TWT). A nonlaminar beam ...
Abstract: Countless individuals around the world are impacted by breast cancer, making it a substantial global health challenge. Detecting this disease at an early stage is essential for effective ...
Abstract: Nonrigid point set registration (NRPSR) is a fundamental research area in the domains of robotics and industrial measurement, aiming to estimate the correspondence and spatial transformation ...
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