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  1. 1
    Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks

    Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks by Hassan, Yasmin Adel

    Published 2010
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  2. 2
    Physical optimization algorithms for mapping data to distributed-memory multiprocessors

    Physical optimization algorithms for mapping data to distributed-memory multiprocessors by Mansour, Nashat

    Published 1992
    “…It allows large-scale mapping to become efficient, especially when the physical optimization algorithms are used.…”
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  3. 3
    Semantic based navigation and lane keeping

    Semantic based navigation and lane keeping by Abdeen, Abdallah Adel

    Published 2023
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  4. 4
    Exploring the Impact of Explainable Artificial Intelligence on Decision-making in Healthcare

    Exploring the Impact of Explainable Artificial Intelligence on Decision-making in Healthcare by MOHAMMAD, AHMAD HASAN

    Published 2023
    “…It investigates how XAI might increase AI algorithm transparency, allowing healthcare practitioners to better comprehend the reasoning behind AI-generated suggestions or forecasts. …”
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  5. 5
    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT

    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT by Dhananjay Bisen (19482454)

    Published 2023
    “…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …”
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  6. 6
    TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection

    TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

    Published 2020
    “…The final classification decision for both models is estimated by incorporating the node's past behavior with the machine learning algorithm. Any detected attack reduces the trustworthiness of the nodes involved, leading to a dynamic system cleansing. …”
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  7. 7
    Mapping realistic data sets on parallel computers

    Mapping realistic data sets on parallel computers by Mansour, N.

    Published 1993
    “…The GC algorithm allows large-scale mapping to become efficient, especially when slow but high-quality mappers are used.…”
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  8. 8
    Robust tuning of power system stabilizers in multimachine powersystems

    Robust tuning of power system stabilizers in multimachine powersystems by Abdel-Magid, Y.L.

    Published 2000
    “…The problem of selecting the stabilizer parameters is converted to a simple optimization problem with an eigenvalue-based objective function, which is solved by a tabu search algorithm. The objective function allows the selection of the stabilizer parameters to optimally place the closed-loop eigenvalues in the left-hand side of a vertical line in the complex s-plane. …”
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  9. 9
    Using C++ to Calculate SO(10) Tensor Couplings

    Using C++ to Calculate SO(10) Tensor Couplings by Bhagwagar, Azadan

    Published 2021
    “…Model building in SO(10), which is the leading grand unification framework, often involves large Higgs representations and their couplings. …”
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  10. 10
    Detection of statistically significant network changes in complex biological networks

    Detection of statistically significant network changes in complex biological networks by Raghvendra Mall (581171)

    Published 2017
    “…Moreover, the structure of the proposed algorithm allows for a faster parallelized implementation.…”
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  11. 11
    A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem

    A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem by Habchi, Wassim

    Published 2008
    “…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …”
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  12. 12
    The Effects of Data Mining on Small Businesses in Dubai

    The Effects of Data Mining on Small Businesses in Dubai by AlMutawa, Rasha

    Published 2011
    “…While there are numerous studies on the best data mining models and their uses, even on certain industries, this study focuses on the applications more than the algorithms and models and their usefulness for small businesses specifically. …”
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  13. 13
    Detecting protein complexes in protein interaction networks using Mapper and Graph Convolution Networks

    Detecting protein complexes in protein interaction networks using Mapper and Graph Convolution Networks by Daou, Leonardo

    Published 2024
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  14. 14
    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy

    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy by Haniyeh, Maryam

    Published 2024
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  15. 15
    Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System

    Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System by Fahmida Haque (16896489)

    Published 2021
    “…The model accuracy was validated with the results from different machine learning algorithms. The Accuracy, sensitivity, and specificity of the ANFIS model are 91.17±1.18%, 92±2.26%, 96.72±0.93%, respectively. …”
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  16. 16
    Vehicle Relocation in One-Way Carsharing: A Review

    Vehicle Relocation in One-Way Carsharing: A Review by Afnan Fayez Eliyan (19237123)

    Published 2024
    “…One-way carsharing, in particular, presents unique challenges due to its flexible nature, allowing users to pick up and drop off vehicles at different locations within a designated service area. …”
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  17. 17
    Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases

    Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases by Muhammad Ali Muzammil (17910611)

    Published 2024
    “…These AI algorithms are effective non-invasive biomarkers for cardiovascular illnesses because they can identify subtle patterns and signals in the ECG that may not be readily apparent to human interpreters. …”
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