Kết quả tìm kiếm - optimization algorithm

Identifying mitosis is crucial for cancer diagnosis, but accurate detection remains difficult because of class imbalance and complex morphological variations in histopathological images. To overcome this challenge, we propose a Customized Deep Learning (CDL) model, which integrates advanced deep-lea...

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This work aims to investigate the average tool-work interface temperature for the HSS tool and AISI 1040 steel pair. A tool-work thermocouple is proposed for the measurement of temperature because of its simple construction in addition to the low cost. The machining process of AISI 1040 steel is con...

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Lecture scheduling is a complex and essential task in academic settings, particularly for optimizing the use of resources such as classrooms, time slots, and teaching staff. This study developed a web-based lecture scheduling application using a genetic algorithm for the Faculty of Engineering, Univ...

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To address the current issue of large computations and the difficulty in balancing model complexity and detection accuracy in pavement defect detection models, a lightweight pavement defect detection algorithm, PGS-YOLO, is proposed based on YOLOv8, which integrates perception enhancement and featur...

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Energy efficiency and reliability are widely understood to be one of the dominant considerations for Underwater Wireless Sensor Networks (UWSNs). In this paper, in order to maintain energy efficiency and reliability in a UWSN, Cuckoo Optimization Algorithm (COA) is adopted that is a combination of t...

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In recent years, 3-term conjugate gradient algorithms (TT-CG) have sparked interest for large scale unconstrained optimization algorithms due to appealing practical factors, such as simple computation, low memory requirement, better sufficient descent property, and strong global convergence propert...

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This paper presents an improved NSGA-II algorithm for the multi-objective optimization of irregular polygon patch antennas (IPPAs), improving convergence efficiency and Pareto front quality. The algorithm integrates adaptive mechanisms that dynamically adjust crossover and mutation rates based on ge...

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Path planning for autonomous vehicles is a core component of intelligent transportation systems, playing a key role in ensuring driving safety, improving driving efficiency, and optimizing the user experience. To address the challenges of safety, smoothness, and search efficiency in path planning fo...

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Introduction. It is noted that the use of adaptive grids in calculations makes it possible to improve the accuracy and efficiency of computational algorithms without increasing the number of nodes. This approach is especially efficient when calculating nonstationary problems. The objective of this s...

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Flourishing the knowledge-based economy, the elite community has been raised as a central driver at the organization level and even in the country. Therefore, in recent years, in order to increase the elite's effectiveness in the process of development of the country, the concept of optimizing...

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One of the main stages in the design of reinforced concrete structures is to determine the crosssectional area of the reinforcement according to the requirements of strength, stiffness and crack resistance, the search for the number of rods based on the nomenclature of reinforcement, its placement i...

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To address the issues of uneven initial distribution and limited search accuracy with the traditional divergent quantum-inspired differential search (DCS) algorithm, a hybrid multi-strategy variant, termed DQDCS, is proposed. This improved version overcomes these limitations by integrating the refin...

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This paper presents the results of Computational Fluid Dynamics (CFD) oriented geometrical optimization using the GeN-Foam solver applied to subchannels of the fuel assembly in a PWR-type nuclear reactor. GeN-Foam is a coarse mesh OpenFOAM solver designed to study nuclear engineering problems invol...

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ObjectiveThe movement of sediment particles significantly affects riverbed evolution, establishing it as a central concern and ongoing challenge in fluvial dynamics research. Although image processing methods provide efficient means for acquiring and analyzing data on sediment transport characterist...

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Wind energy is a clean and renewable energy source with great potential for development, but the intermittent and stochastic characteristics of wind speed have brought great challenges to the effective development and utilisation of wind energy resources, resulting in high development costs. Therefo...

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This study aims to investigate a numerical scheme based on etics, Riphah Internatxtended cubic B-spline functions for solving the nonlinear gas dynamics equation, which plays a crucial role in the study of physical phenomena such as explosions, combustion, detonation and condensation within moving f...

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We present an optimized attenuation compensation and contrast enhancement algorithm to improve the quality of the intravascular optical coherence tomography (IVOCT) images and overcome the drawbacks of the previous algorithms, including pseudocharacteristics such as the variation of the tissue atten...

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Green energy management is a key research focus to support de-carbonization goals by reducing harmful emissions. DC microgrid specifically helps to reach these goals as it provides numerous advantages over AC microgrid. However, challenges such as voltage regulation and power sharing mismatch must b...

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The purpose of the article is to study the possibilities of preventing the imbalance caused by the stochastic nature of RES by regulating the electricity accumulation and the backup generator. The subject of the research is random processes of energy generation and consumption. The goal is achieved...

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