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Showing 1 - 20 results of 30 for search '(((( complement both algorithms ) OR ( element data algorithm ))) OR ( neural colony algorithm ))', query time: 0.12s Refine Results
  1. 1
    Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach

    Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach by S. Punitha (17945654)

    Published 2023
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  2. 2
    Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect

    Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect by Habeeb, Abdallah

    Published 2022
    “…The second phase, modified the Artificial Bee Colony (ABC) Algorithm, with Upper Confidence Bound (UCB) Algorithm, to promote the exploitation ability for the minimum dimension, to get the minimum number of the optimal feature, then using forward feature selection strategy by four classifiers of machine learning algorithms: (K-Nearest Neighbors (KNN), Support vector machines (SVM), Naïve-Bayes (NB), and Polynomial Neural Networks (PNN). …”
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  3. 3
    Design of acoustic absorbing metasurfaces using a data-driven approach

    Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

    Published 2023
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  4. 4
    Bird’s Eye View feature selection for high-dimensional data

    Bird’s Eye View feature selection for high-dimensional data by Samir Brahim Belhaouari (16855434)

    Published 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. …”
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  5. 5
    Using artificial bee colony to optimize software quality estimation models. (c2015)

    Using artificial bee colony to optimize software quality estimation models. (c2015) by Abou Assi, Tatiana Antoine

    Published 2016
    “…In this thesis, we propose a novel heuristic based on Artificial Bee Colony (ABC) to optimize rule-based software quality prediction models. …”
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  6. 6
    Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review

    Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review by Francisco Monteiro-Guerra (16864122)

    Published 2019
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  7. 7
    XBeGene: Scalable XML Documents Generator by Example Based on Real Data

    XBeGene: Scalable XML Documents Generator by Example Based on Real Data by Harazaki, Manami

    Published 2012
    “…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …”
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  8. 8
    A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai

    A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai by ALGHANEM, HANI SUBHI MOHD

    Published 2024
    “…The proposed framework comprises key elements: Important Decisions derived from interviews with transportation leaders, Knowledge Management enhanced by AI algorithms, Data Mining/Analysis utilizing historical data, the Fleet Management System employing Oracle ERP, and a Data-Driven Decision Support Framework that leans towards the extended framework approach. …”
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  9. 9
    Brain Source Localization in the Presence of Leadfield Perturbations

    Brain Source Localization in the Presence of Leadfield Perturbations by Momin, Rabiya Nakhat

    Published 2015
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  10. 10
    Nonlinear analysis of shell structures using image processing and machine learning

    Nonlinear analysis of shell structures using image processing and machine learning by M.S. Nashed (16392961)

    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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  11. 11
    Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar

    Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar by Sankaran, Rajendran

    Published 2022
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  12. 12
    Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey

    Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey by Faria Nawshin (21841598)

    Published 2024
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  13. 13
    Correlation Clustering with Overlaps

    Correlation Clustering with Overlaps by Fakhereldine, Amin

    Published 2020
    “…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
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  14. 14
    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV

    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV by Zulkifli, Muhammad

    Published 2013
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  15. 15
    Recent advances on artificial intelligence and learning techniques in cognitive radio networks

    Recent advances on artificial intelligence and learning techniques in cognitive radio networks by Abbas, Nadine

    Published 2015
    “…The literature survey is organized based on different artificial intelligence techniques such as fuzzy logic, genetic algorithms, neural networks, game theory, reinforcement learning, support vector machine, case-based reasoning, entropy, Bayesian, Markov model, multi-agent systems, and artificial bee colony algorithm. …”
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  16. 16
    The maximum common subgraph problem

    The maximum common subgraph problem by Abu-Khzam, Faisal N.

    Published 2017
    “…This is made possible by exploiting an efficient decomposition of a graph into a minimum vertex cover and the maximum independent set in its complement. The result is an algorithm whose run time is bounded by a function exponential in the order of the smaller cover rather than in the order of the smaller graph.…”
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  17. 17
    Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements

    Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements by Emara-Shabaik, Husam

    Published 2020
    “…The model structure is made up of two linear dynamic elements separated by a nonlinear static one. The nonlinear element is assumed to be of the polynomial type with known order; The identification is based on input/output data where the output is contaminated with measurement noise. …”
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  18. 18
    A new approach and faster exact methods for the maximum common subgraph problem

    A new approach and faster exact methods for the maximum common subgraph problem by Abu-Khzam, Faisal N.

    Published 2017
    “…This structure contains a large number of naturally-ordered cliques that are present in the association graph’s complement. A detailed analysis shows that the proposed algorithm requires O((m+1)n) time, which is a superior worst-case bound to those known for previously-analyzed algorithms in the setting of the MCS problem. …”
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  19. 19
    A hybrid approach for XML similarity

    A hybrid approach for XML similarity by Tekli, Joe

    Published 2007
    “…Various algorithms for comparing hierarchically structured data, e.g. …”
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  20. 20
    On the complexity of multi-parameterized cluster editing

    On the complexity of multi-parameterized cluster editing by Abu-Khzam, Faisal

    Published 2017
    “…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …”
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