Søgeresultater - optimization algorithm

The paper considers the application of an algorithm based on a morphological projector for determining structural differences for comparing dermoscopic images. This will allow to identify changes that have occurred in skin lesions over time, for a more accurate diagnosis of their malignancy. The pro...

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Urban railways play a critical role in promoting sustainable transportation by providing high-capacity, efficient, and low-emission alternatives to road-based travel. As cities continue to grow, the demand for mass transit rail transport is steadily increasing, posing significant challenges to exist...

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[Objective] To investigate and analyze the driving role of the green behavior of multiple loads on the evolution of a new type of power system and to enhance the flexibility and resource optimization allocation capacity of a new type of power system， this study conducted a simulation study of the gr...

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The increasing demand for goods transportation, driven by the expansion of global supply chains and rising customer expectations, underscores the critical need to optimize transportation costs to enhance logistics efficiency. In a rapidly evolving and competitive market, businesses face mounting cha...

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Aiming at the problem of low accuracy of the evaluation results due to errors in the calculation of the weight value of the evaluation factors in the evaluation of the remaining life of the cable, the remaining life evaluation method of the cross-linked polyethylene insulated power cable under the p...

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Proposed here is a speech-based diagnostic framework for detecting Parkinson's disease that utilizes a Long Short-Term Memory neural network and the Grasshopper Optimization Algorithm. The framework aims to improve the detection of PD while ensuring accurate and efficient classification of spe...

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This study focuses on optimizing cadmium reduction through the UV/malathion/sulfite reaction, leveraging the power of Artificial Intelligence (AI) models, specifically Gradient Boosting Regression (GBR), Support Vector Regression (SVR), and Genetic Algorithm (GA). These models were used to optimize...

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This work presents a robust box-constrained nonlinear least-squares algorithm for accurately fitting the Jones–Wilkins–Lee (JWL) equation of state parameters, which describes the isentropic expansion of detonation products from high-energy materials. In the energetic material literature, there are p...

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The Centralized Radio Access Networks (CRAN) decentralizes data and control planes by separating the baseband unit (BBU) from the central office, enabling energy-efficient “green networks” through the shutdown of underutilized BBUs. Analyzing extensive Call Detail Records (CDR)...

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Silver carp viscera, a lipid‑rich byproduct typically discarded, poses environmental pollution and resource wastage. Utilizing this byproduct for fish oil extraction offers a sustainable alternative; however, conventional enzymatic methods are inefficient, labor‑intensive to optimize, and yield oil...

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Currently, one of the most important challenges facing autonomous vehicles’ development due to varying driving conditions is effective path tracking while considering lateral stability. To address this issue, this study proposes the optimization of the linear quadratic regulator (LQR) control system...

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This study focuses on the challenge of short-term economic dispatch in hybrid generation systems, specifically under scenarios where energy constraints arise due to reduced water availability. The primary aim is to compare various generation scenarios to evaluate the influence of renewable energy-ba...

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New results on the recently introduced signal processing methods based on matching pursuit and modified nonlinear chirplet approximation are presented. The optimal estimation algorithm for time of arrival of MSK radio signals of packet radio in area distributed receiving points of range difference p...

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Humidification-dehumidification (HDH) systems are thermal desalination methods well-suited for small-to-medium capacity applications and particularly beneficial for remote areas. In this method, the presence of a significant amount of non-condensable gases circulating in the cycle creates substantia...

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The actual problem of production of long products in bars at the current production of mill 370/150 of OJSC «BSW – Management Company of the Holding «BMC» is considered, a brief technological model of obtaining long products in bars is given, an algorithm for determining the optimal cutting of long...

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Exponential distribution optimizer (EDO) is an effective mathematics-based optimization technique with widespread application across numerous domains. However, it still suffers from insufficient exploitation capability, poor exploration capability, and weak adaptability of switching parameter method...

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<b>Background/Objectives</b>: Accurate classification of COVID-19 from chest X-rays is critical but remains limited by overlapping features with other lung diseases and the suboptimal performance of current methods. This study addresses the diagnostic gap by introducing a novel hybrid fr...

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This paper investigates the optimization of wireless power transfer (WPT) systems for electric vehicle (EV) charging applications using a combination of analytical modeling, numerical simulation, and particle swarm optimization (PSO). A comprehensive mathematical model is developed for the electroma...

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The air gap is reserved between the insulation and metal sheath within the cable to mitigate damage resulting from cable bending phenomena. Owing to the temperature sensitivity of insulation thermal expansion, the thermal parameter of air gap layer will undergo significant variations during the tran...

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This study utilizes Constructal Theory and genetic algorithms to formulate a comprehensive optimization framework for selecting the appropriate type of Heat Recovery Steam Generator (HRSG) in combined cycle power plants. Constructal Theory facilitates the design of HRSG systems that achieve an optim...

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