檢索結果 - optimization algorithm

Modern breeding, especially when fruit plants cultivated for decades at the same location are concerned, requires a new strategy to develop cultivars resistant to abiotic limfactors of the environment. A more in-depth analysis of genotype–environment interaction phenomena is needed, as modern studie...

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To address the issues of coal mine rescue robots’ path planning algorithms taking too long, producing too many redundant points, and easily falling into deadlock in complex underground environments, a grid map blocking algorithm based on type matching is proposed. This algorithm iteratively blocks p...

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PM0.1, an ultrafine urban air pollutant, poses significant health risks due to its ability to penetrate deep into the lungs, enter the bloodstream, and rapidly circulate throughout the human body, potentially causing severe respiratory diseases. Effective monitoring and explanation of PM0.1 concentr...

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Solar energy is one of the immeasurable renewable energy in power generation for a green, clean and healthier environment. The silicon-layer solar panels absorb sun energy and converts it into electricity by off-grid inverter. Electricity is transferred either from this inverter or from transformer...

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This paper addresses the optimization problem for mobile jamming assistance schemes in cognitive covert communication (CR-CC), where cognitive users adopt the underlying mode for spectrum access, while an unmanned aerial vehicle (UAV) transmits the same-frequency noise signals to interfere with eave...

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In recent times, the number of laryngeal cancer patients has increased significantly around the world. Proper care for laryngeal cancer is complex, particularly in the last phase. This cancer category is a complicated tumour in the head and neck regions of the individual. Recently, investigators hav...

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<i>Background:</i> This study presents an integrated multi-product, multi-period queuing location-allocation model for a sustainable, three-level food supply chain involving farmlands, facilities, and markets. The model employs M/M/C/K queuing systems to optimize the transportation of go...

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The accurate prediction of short-term power load is a critical element for maintaining the normal and stable operation of the power system. For short-term power load forecasting, the collected power load data is preprocessed to quantify temperature, weather, and date types. A short-term load forecas...

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Social networks are complex and dynamic data structures whose analysis holds significant importance. Among various tasks, link prediction stands out as a fundamental aspect of social network analysis, focusing on identifying potential future relationships between nodes. Despite considerable advancem...

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Abstract This study investigates the application of advanced clustering methods to geological fracture analysis in the Baba Kohi anticline, located in the folded Zagros region of southwest Iran. The primary aim is to enhance fracture classification accuracy by integrating the k-means algorithm with...

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Economic and environmental constraints are causing power systems to operate near their critical restrictions because of the growing demand for energy. Flexible alternating current transmission systems (FACTS) devices can be used to control power flow and regulate bus voltage in networks in order to...

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An aircraft that has been carefully optimized for a single flight condition will tend to perform poorly at other flight conditions. For aircraft such as long-haul airliners, this is not necessarily a problem, since the cruise condition so heavily dominates a typical mission. However, other aircraft,...

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Roadheaders play a crucial role in the excavation processes of tunnels and mines, offering efficient and precise cutting capabilities. The performance prediction of a roadheader is essential for optimizing operations and ensuring project success. By understanding the various factors that influence p...

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The modernisation of irrigation networks has enhanced water use efficiency but increased energy demand and costs in agriculture. Energy recovery (ER) is possible by utilising excess pressure to generate electricity with pumps as turbines (PATs), offering a cost-effective alternative to traditional t...

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The article discusses a technique for constructing an optimal histogram filter and its modifications, taking into account a priori information about the expected probability distribution density. The main idea of constructing a histogram filter is to apply a special transformation that displays the...

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This study explores a novel morphing blade design methodology to enhance the aerodynamic performance of the NREL 1.5 MW wind turbine while addressing structural constraints. The proposed approach applies targeted morphing to the leading and trailing edges of the blade sections, utilizing a streamlin...

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The work objective is to study a vital task of the multiextremal objects search engine optimization which is much more complicated than monoextremal problems. It is shown that only heuristics is appropriate in achieving this goal. Therefore, three best known and developed search engine optimization...

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This study introduces a novel dual-battery architecture with intelligent auto-switching control, designed to ensure uninterrupted operation of agricultural sensing systems in environments with unpredictable energy availability. The proposed system integrates Lithium-Sulphur (Li-S) and Lithium-Ion (L...

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Infectious diseases have become an unavoidable big trouble in today's environment with a similar symptomatology that makes difficult of early detection and clear separation of infection. Hence, it is required to generate a new technique that best utilizes the various symptomatologies present i...

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ABSTRACT This paper presents an innovative hybrid approach for intrusion detection system (IDS) proposed by integrating the slime mold algorithm (SMA) and genetic algorithm (GA) within a feature selection (FS) framework for classification tasks. IDS faces challenges such as high‐dimensional data and...

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