Search alternatives:
could algorithm » mould algorithm (Expand Search), carlo algorithm (Expand Search), colony algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
element » elements (Expand Search)
could algorithm » mould algorithm (Expand Search), carlo algorithm (Expand Search), colony algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
element » elements (Expand Search)
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Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
Published 2022“…One of the well-known designs of RDH is the difference expansion (DE) method. …”
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Salp swarm algorithm: survey, analysis, and new applications
Published 2024“…The research also explains how to use SSA and MSSA to solve a number of computationally challenging and expensive engineering design issues (e.g., airfoil design and marine propeller design). …”
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Using machine learning algorithm for detection of cyber-attacks in cyber physical systems
Published 2022“…Such data can be parsed using ML and AI approaches in designed to check attacks on CPSs. …”
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Designing Cellular Mobile Networks Using Non{Deterministic Iterative Heuristics
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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Published 2021“…A machine learning classification pipeline is developed using multi-domain feature extraction (time, frequency, time-frequency), feature selection (Gini impurity), classifier design, and score level fusion. …”
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Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS
Published 2018“…We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. …”
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Nonlinear analysis of shell structures using image processing and machine learning
Published 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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A decentralized load balancing strategy for parallel search-three optimization. (c2010)
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Parallel implementation of clique partitioning using artificial neural networks. (c2000)
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Teaching–learning-based optimization algorithm: analysis study and its application
Published 2024“…The structure of TLBO algorithms was first explained. Then, the implementation and the enhanced TLBO were examined and discussed in various areas such as engineering, electrical engineering, technology and science, mechanical design, artificial intelligence, classification problem, healthcare, and economics. …”
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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
Published 2024“…A full factorial experiment design is utilised to determine the best settings. …”
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AI and IoT-based concrete column base cover localization and degradation detection algorithm using deep learning techniques
Published 2023“…Internet of Things (IoT) and Artificial Intelligence (AI) technologies are currently replacing the traditional methods of handling buildings, infrastructure, and facilities design, control, and maintenance due to their precision and ease of use. …”
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A multiobjective optimization method for the SOC Test Time, TAM, and power optimization using a strength pareto evolutionary algorithm
Published 2017“…The method uses a Strength Pareto Evolutionary Algorithm that minimizes the overall test application time in addition to power, wrapper design and TAM assignment. …”
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Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning
Published 2006“…A series of experiments are performed to evaluate the efficiency of the algorithms. ISCAS-85/89 benchmark circuits are used and experimental results are reported and analyzed to compare the performance of GA, TS and SimE. …”
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