Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT حسب Arumugam K (18456690)

"…This paper proposes an Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT. …"

Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization حسب Abu Zitar, Raed

"…This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …"
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Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey حسب Faria Nawshin (21841598)

Improvement Algorithm for Limited Space Scheduling حسب Zouein, Pierrette

"…This paper addresses the combined problem termed “space scheduling” and presents an algorithmic time-space trade-off model for adjusting activity durations and start dates to decrease the need for space over congested time periods. …"
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Parallel metaheuristic algorithm for exam timetabling حسب Mansour, Nashat

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Automatic and Intelligent Stressor Identification Based on Photoplethysmography Analysis حسب Sami Elzeiny (16891521)

"…In particular, this study proposes a novel algorithm that first detects instances of stress and then classifies the stressor type using photoplethysmography (PPG) data from wearable smartwatches. …"

STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization حسب Muhammad Salman Khan (7202543)

Threshold sequencing algorithms. (c2001) حسب Naamani, Mohamad A.

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Approximation algorithms inspired by kernelization nethods حسب Abu-Khzam, Faisal N.

"…We will expose in this paper a similar strategy for obtaining polynomial-time approximation algorithms. Our method features the use of approximation-preserving reductions, akin to the notion of parameterized reductions. …"
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Bee Colony Algorithm for Proctors Assignment. حسب Mansour, Nashat

"…The Bee Colony algorithm is a recent population-based search algorithm that mimics the natural behavior of swarms of honey bees during the process of collecting food. …"
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Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer حسب D., Sathish Kumar

"…The operating cost of a residential building is reduced by using a day-ahead scheduling process for controlling multiple energy sources to create a reliable look-up table that estimates the best schedule for the distributed energy sources at each time frame. …"
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Timing influenced general-cell genetic floorplanner حسب Sait, Sadiq M.

"…The first phase is implemented using genetic algorithm while in the second phase we adopt a constraint graph based approach. …"
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Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer حسب M. Premkumar (12757280)

"…The operating cost of a residential building is reduced by using a day-ahead scheduling process for controlling multiple energy sources to create a reliable look-up table that estimates the best schedule for the distributed energy sources at each time frame. …"

Timing influenced general-cell genetic floorplanner حسب Sait, Sadiq M.

"…The floorplanner works in two phases. In the first phase we use the genetic algorithm and restrict the modules to be rigid and the floorplan to have slicing structure. …"
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Robustness testing of composed real-time systems حسب Fouchal, Hacène

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A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation حسب Kfouri, Ronald

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

"…The GC algorithm allows large-scale mapping to become efficient, especially when slow but high-quality mappers are used.…"
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Process Mining over Unordered Event Streams حسب Awad, Ahmed

"…While such online algorithms have been proposed for several process mining tasks, from discovery through confor mance checking to time prediction, they all assume that an event stream is ordered, meaning that the order of event generation coincides with their arrival at the analysis engine. …"
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Predicting Dropouts among a Homogeneous Population using a Data Mining Approach حسب BILQUISE, GHAZALA

"…High School Average and High School stream of study are observed to be the top predictive variables of on-time graduation when a student joins college. Our study also reveals that ensemble machine learning algorithms are more reliable and outperform standard algorithms.…"
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Stability improvement of the PSS-connected power system network with ensemble machine learning tool حسب M.S. Shahriar (19517536)

"…The ensemble method combines multiple machine learning techniques and has been used for tuning the PSS parameters in real-time for two PSS-connected power system networks. …"