Reinforcement R-learning model for time scheduling of on-demand fog placement حسب Farhat, Peter

"…We also demonstrate the ability of our model to improve over time by adapting the new demand of users. Experiments comparing the decisions of our model with two other potential fog placement approaches used for task/service scheduling (threshold based and random based) show that the number of processed requests performed by the cloud decreases from 100 to 30% with a limited number of fogs to push. …"
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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition حسب Hanif Heidari (22467148)

The buffered work-pool approach for search-tree based optimization algorithms حسب Abu-Khzam, Faisal N.

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Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization حسب Alkhawja, Fares Amin E

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Stochastic P-type/D-type iterative learning control algorithms حسب Saab, Samer S.

"…This paper presents stochastic algorithms that compute optimal and sub-optimal learning gains for a P-type iterative learning control algorithm (ILC) for a class of discrete-time-varying linear systems. …"
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An enhanced k-means clustering algorithm for pattern discovery in healthcare data حسب Haraty, Ramzi A.

"…The experiments also yield better results for G-means in terms of the coefficient of variance and the execution time.…"
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An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

"…Method This paper presents an adaptive approach that takes already built predictive models and adapts them (one at a time) to new data. We use an ant colony optimization algorithm in the adaptation process. …"
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Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images حسب Abu Zitar, Raed

"…The solutions are evaluated using Otsu's fitness function throughout the optimization process. The picture histogram is used to display the algorithm's potential solutions. …"
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I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams حسب Raun, Kristo

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An Optimal Energy Dispatch Management System for Hybrid Power Plants: PV-Grid-Battery-Diesel Generator-Pumped Hydro Storage حسب Fatma Ahmed (11084787)

الموضوعات:

An EM-Based Forward-Backward Kalman Filter for the Estimation of Time-Variant Channels in OFDM حسب Al-Naffouri, T.Y.

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A Highly Efficient And Automated Approach To Identifying And Classifying Urban Traffic Images Using Self Organizing Maps and Artificial Intelligence. (c2006) حسب Bey, Hisham Mardam

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Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines حسب Haddad, Abdul Rahim

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Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System حسب Abougharib, Arwa

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Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

"…In addition, the framework outperforms conventional detection algorithms in words of detection rate, the rate of the false positive, and calculation time, respectively.…"
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A Comprehensive Review of AI’s Current Impact and Future Prospects in Cybersecurity حسب Abdullah Al Siam (22304047)

"…We examine cutting-edge AI methodologies and principal models across many domains, including machine learning algorithms, deep learning architectures, natural language processing techniques, and anomaly detection algorithms, emphasizing their distinct contributions to enhancing security. …"

Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System حسب Sahawneh, Laith Rasmi

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A non-convex economic load dispatch problem using chameleon swarm algorithm with roulette wheel and Levy flight methods حسب Abu Zitar, Raed

"…In this paper, several enhancements were made to this algorithm. First, it’s position updating process was slightly tweaked and took advantage of the chameleons’ randomization as well as adopting several time-varying functions. …"
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Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks حسب Yaacoub, Elias

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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing حسب Jincheng Zhou (1887307)

"…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …"