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modeling algorithm » scheduling algorithm (Expand Search)
spatial modeling » statistical modeling (Expand Search)
using algorithm » cosine algorithm (Expand Search)
carlo algorithm » search algorithm (Expand Search), colony algorithm (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
spatial modeling » statistical modeling (Expand Search)
using algorithm » cosine algorithm (Expand Search)
carlo algorithm » search algorithm (Expand Search), colony algorithm (Expand Search)
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Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams
Published 2021“…Both combine a generic MILP solver and a genetic algorithm, resulting in efficient anytime algorithms. …”
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Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach
Published 2025“…To mitigate overfitting, we implemented dropout layers, batch normalization, and early stopping, significantly enhancing the model’s generalization capability. Specifically, three different open-access datasets were combined into a single training dataset, capturing extensive temporal, spatial, and environmental variability. …”
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Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks
Published 2010Get full text
doctoralThesis -
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CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments
Published 2024“…<p dir="ltr">In our research, we address the problem of coordination and planning in heterogeneous multi-robot systems for missions that consist of spatially localized tasks. Conventionally, this problem has been framed as a task allocation problem that maps tasks to robots. …”
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Estimating Construction Project Duration Using a Machine Learning Algorithm
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masterThesis -
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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
Published 2016Get full text
doctoralThesis -
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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
Published 2024“…The proposed model was developed and implemented using MATLAB software. A Pareto front was derived from the MOGA by employing the T2FNN within the process, identifying fourteen optimal solutions.…”
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Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models
Published 2023Get full text
doctoralThesis -
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Parallel implementation of clique partitioning using artificial neural networks. (c2000)
Published 2000Get full text
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masterThesis -
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Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction
Published 2025“…The current study utilises state-of-the-art ML and DL models for predicting the hERG-blocking ability of chemical compounds using a dataset of 8337 molecules. …”
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An image processing and genetic algorithm-based approach for the detection of melanoma in patients
Published 2018“…The second phase classifies lesions using a Genetic Algorithm. Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.…”
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Socially Motivated Approach to Simulate Negotiation Process
Published 2014Get full text
doctoralThesis -
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
Published 2000Get full text
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masterThesis -
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Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect
Published 2022“…The first phase has tools used in natural language processing; the stemming, stop word removal, and tokenization to filtering the text. …”
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Clustering/partitioning algorithms and comparative analysis
Published 1989Get full text
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masterThesis