بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
image learning » smart learning (توسيع البحث), image sharing (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
image learning » smart learning (توسيع البحث), image sharing (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
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Nonlinear analysis of shell structures using image processing and machine learning
منشور في 2023"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
منشور في 2022"…A Master of Science thesis in Computer Engineering by Ali Reza Sajun entitled, “Exploring Semi-Supervised Learning Algorithms for Camera Trap Images”, submitted in August 2022. …"
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Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem
منشور في 2018"…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …"
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An evolutionary algorithm for solving the geometrically constrained site layout problem
منشور في 2017"…This paper presents an investigation of applying an evolutionary approach to optimally solve the aforementioned layout problem. The proposed algorithm is two-phases: an initialization phase that generates an initial population of layouts through a sequence of mutation operations, and a reproduction phase that evolve the layouts generated in phase one through a sequence of genetic operations aiming at finding an optimal layout. …"
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Efficient convex-elastic net algorithm to solve the Euclideantraveling salesman problem
منشور في 1998"…This paper describes a hybrid algorithm that combines an adaptive-type neural network algorithm and a nondeterministic iterative algorithm to solve the Euclidean traveling salesman problem (E-TSP). …"
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Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities
منشور في 2002"…This paper presents an investigation of the applicability of a genetic approach for solving the construction site layout problem. This problem involves coordinating the use of limited site space to accommodate temporary facilities so that transportation cost of materials is minimized. …"
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Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
منشور في 2022"…The main novelty of this work is the computer-aided diagnosis scheme for detecting abnormalities in breast ultrasound images by integrating a wavelet neural network (WNN) and the grey wolf optimization (GWO) algorithm. …"
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A machine learning model for early detection of diabetic foot using thermogram images
منشور في 2021الموضوعات: -
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Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models
منشور في 2022"…There are many techniques that can be used for fruit classification using computer vision technology. Deep learning is the most promising algorithm compared to another Machine Learning (ML) algorithm. …"
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Competitive learning/reflected residual vector quantization for coding angiogram images
منشور في 2003"…It was found that it has a higher probability to diverge when used with nonGaussian and nonLaplacian image sources such as angiogram images. By employing competitive learning neural network in the codebook design process, we tried to obtain a stable and convergent algorithm. …"
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Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"