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  1. 161
    FoGMatch

    FoGMatch by Arisdakessian, Sarhad

    Published 2019
    “…Our solution consists of (1) two optimization problems, one for the IoT devices and one for the fog nodes, (2) preference functions for both the IoT and fog layers to help them rank each other on the basis of several criteria such latency and resource utilization, and (3) centralized and distributed intelligent scheduling algorithms that consider the preferences of both the fog and IoT layers to improve the performance of the overall IoT ecosystem. …”
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  2. 162
    On scalable parallel recursive backtracking

    On scalable parallel recursive backtracking by Abu-Khzam, Faisal N.

    Published 2015
    “…Solving NP-hard graph problems to optimality using exact algorithms is an example of an area in which there has so far been limited success in obtaining large scale parallelism. …”
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  3. 163
    UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks

    UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks by Ebrahimi, Dariush

    Published 2018
    “…Our problem definition aims at clustering the sensors, constructing an optimized forwarding tree per cluster, and gathering the data from selected cluster head nodes based on projection-based CDG with minimized UAV trajectory distance. …”
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  4. 164
    Improving the Resilience of Smart Distribution Networks against Cyber Attacks

    Improving the Resilience of Smart Distribution Networks against Cyber Attacks by ElYamani, Mohamed ElHusseiny Mohamed

    Published 2022
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  5. 165
    MoveSchedule

    MoveSchedule by Zouein, Pierette

    Published 1995
    “…The layout construction algorithm that underlies MoveSchedule uses Constraint Satisfaction to find the set of all positions that meet the constraints on resources' positions and Linear Programming to find the optimal positions that minimize resource transportation and relocation costs. …”
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  6. 166
    Practical Multiple Node Failure Recovery in Distributed Storage Systems

    Practical Multiple Node Failure Recovery in Distributed Storage Systems by Itani, M.

    Published 2016
    “…We allocate newcomers to nodes with minimal computations and without changing the original optimized plan. …”
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  7. 167
    ISSP

    ISSP by Zouein, P.P.

    Published 2017
    “…The underlying algorithms optimize positions of resources by minimizing handling and rehandling costs of these on site. …”
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  8. 168
    On the complexity of bilinear computations

    On the complexity of bilinear computations by Takche, Jean Halim

    Published 1984
    “…One can show that we can restrict ourselves to bilinear algorithms. Brockett and Dobkin showed that the problem is equivalent to minimizing the number of rank one matrices that generate a given set of matrices. …”
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  9. 169
    Dynamic multiple node failure recovery in distributed storage systems

    Dynamic multiple node failure recovery in distributed storage systems by Itani, May

    Published 2018
    “…We present a range of results for our proposed algorithms in several scenarios to assess the effectiveness of the solution approaches that are shown to generate results close to optimal.…”
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  10. 170
    Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters

    Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters by Farhan, Abid

    Published 2021
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  11. 171
    Hybrid deep learning based threat intelligence framework for Industrial IoT systems

    Hybrid deep learning based threat intelligence framework for Industrial IoT systems by Jahanzaib Malik (23718816)

    Published 2025
    “…The proposed approach was also compared against several contemporary deep learning-based architectures and existing benchmark algorithms. The results indicate that the proposed method achieves superior detection accuracy, with only a minimal compromise in speed efficiency. …”
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