Søgeresultater - optimization algorithm

Starting from the problems of imperfect evaluation index system, non-standard evaluation method and single factor of performance evaluation model, this paper applies the unified grey clustering analysis algorithm to establish the index system of software organization status and software project cha...

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The paper considers methods of program transformation equivalent to optimizing the cycle invariant, applied to the functional data-flow model implemented in the Pifagor programming language. Optimization of the cycle invariant in imperative programming languages is reduced to a displacement from the...

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Set of parameters characterizing the process of interdependence rock crushing and the technique of joint optimization of the above parameters. Recommendations for use of the algorithm in the workplac

The purpose of the paper is to form a method for finding the optimal structure of the power network. For the basic criteria of the required method the maximum simplicity, versatility and objec-tivity are assumed. The properties of existing power grids of various countries and the methods of their an...

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The Coordinate Rotation Digital Algorithm (CORDIC) was widely used in racemic systems, camera frames and other applications. Based on the analysis of the traditional CORDIC algorithm, a method of recoding prediction and multi-times iterative optimization was proposed, simulated with MATLAB, verified...

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Objective. The aim of the study is to study the methods of temperature control using the Peltier element in a given temperature range.Method. A heating method is applied using a Peltier element in a temperature control device of a small plate by regulating the current and using a cooling fan to redu...

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Diagnosing childhood pulmonary tuberculosis (TB) is a challenge. This led the Uganda National Tuberculosis and Leprosy Program (NTLP) to develop a clinical treatment decision algorithm (TDA) for children. However, there is limited data on its accuracy, and how it compares to new World Health Organiz...

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In the federated learning application scenario, if the data among the client devices shows the characteristics of non- independence identically distribution, or even class-imbalance, the optimization goal of the client local model will deviate from the global optimization goal, which brings great...

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Cloud computing plays a significant role in everyone’s lifestyle by snugly linking communities, information, and trades across the globe. Due to its NP-hard nature, recognizing the optimal solution for workflow scheduling in the cloud is a challenging area. We proposed a hybrid meta-heuristic cost-...

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In this paper, the analytical and numerical procedures for multi-stiffened plate free vibration analysis are presented. The plate and stiffeners are treated as an assembled plate and stiffening elements. The energy analysis leads to the nonlinear formulation of the non-dimensional frequency function...

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To address the shortcomings of multipath clustering algorithms in terahertz channel modeling, particularly in terms of multidimensional parameter adaptability and unsupervised feature separation, a variational autoencoder-based latent space multipath clustering (VAE-LMC) model was proposed. Firstly,...

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Numerous technological systems are being controlled by newly developed intelligent systems. In contrast, the PID (Proportional-Integral-Derivative) controller is a rapid low-level control method frequently employed in control engineering tasks. Various tuning techniques from classical control theory...

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In this paper, we introduce a framework to evaluate the economic implications of algorithmic bias specifically for the emergency response systems that incorporate AI. Unlike existing research, which mostly addresses technical or ethical aspects in isolation, our approach integrates economic theory w...

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With the advent of the era of big data, the effective representation and analysis of high-level data has become a major challenge. Based on this, the application of tensor decomposition technology in multi-clustering algorithms was focused on especially for the processing of large multi-source heter...

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As observed in the case of COVID-19, effective vaccines for an emerging pandemic tend to be in limited supply initially and must be allocated strategically. The allocation of vaccines can be modeled as a discrete optimization problem that prior research has shown to be computationally difficult (i.e...

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Neural Architecture Search (NAS) has made significant advancements in autonomously constructing high-performance network architectures, capturing extensive attention. However, a key challenge of existing NAS approaches is the intensive performance evaluation, leading to significant time and computat...

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Aiming at the problems of low visibility, fuzzy target features and high leakage rate of small targets in nighttime vehicle detection, this paper proposes a nighttime vehicle detection algorithm E-YOLOv7 based on the improved YOLOv7. Firstly, a hybrid feature enhancement module (SFE) is designed to...

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Semantic communication has recently gained significant attention in theoretical analysis due to its potential to improve communication efficiency by focusing on meaning rather than exact signal reconstruction. In this paper, we extend the Blahut–Arimoto (BA) algorithm, a fundamental method in classi...

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Wireless sensor networks (WSNs) are widely applied in battlefield surveillance, where the data collection (e.g. target tracking or contention zone observation) employed by local sensor nodes needs to send to military bases for tactical decisions. Since data transmissions are susceptible to malicious...

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The meteorological situation is one of the decisive factors determining the safety and frequency of civil aviation flights. Weather hazards (WH), associated with cumulonimbus clouds, such as a heavy shower, thunderstorm, hail, combined with high atmosphere turbulence, quite often lead to aviation ev...

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