ELISSAR. (c1997) حسب Nasreddine, Diana M.

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A Review of the Genetic Algorithm and JAYA Algorithm Applications حسب Abu Zitar, Raed

"…This study throws the light on two metaheuristic algorithms and enable researchers to leverage the potential of adapting them in whatever applications they may have either in engineering, computer science, or business. …"
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A Fuzzy Low-Dimensional Intersection Graph Representation Approach for Graph Compression and Anonymization حسب Yamout, Youssef

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A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems حسب Majdi Mansouri (16869885)

A Comparative study between cache replacement algorithms used in the scalable asynchronous cache consistency scheme. (c2006) حسب Turk, Lana

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Degree-Based Network Anonymization حسب Halawi, Ola

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Tabu Search For A Class Of Single-Machine Scheduling Problems حسب Al-Turki, Umar

"…In this paper we develop a tabu search-based solution procedure designed specifically for a certain class of single-machine scheduling problems with a non-regular performance measure. …"
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Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) حسب Tay, Bilal M.

"…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …"
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Topics in graph algorithms حسب Abu-Khzam, Faisal Nabih

"…This is achieved by implementing some algorithms for the vertex cover problem, and conducting experiments on real data sets. …"
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An efficient method for the open-shop scheduling problem using simulated annealing حسب Harmanani, Haidar M.

"…This paper presents a simulated annealing algorithm in order to solve the nonpreemptive open-shop scheduling problem with the objective of minimizing the makespan. …"
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Reinforcement R-learning model for time scheduling of on-demand fog placement حسب Farhat, Peter

"…In this paper, we propose a Fog Scheduling Decision model based on reinforcement R-learning, which focuses on studying the behavior of service requesters and produces a suitable fog placement schedule based on the concept of average reward. …"
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Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies حسب Mohamed, Eman

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Methods for system-on-chip test design, scheduling and optimization. (c2006) حسب Farah, Rana

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Learning-Based Space-Time Adaptive Processing حسب El Khatib, Alaa

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Identifying Regional Trends in Avatar Customization حسب Peter Mawhorter (18602944)

الموضوعات:

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

Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE حسب Mathew, Elezabeth

"…Finally, an interview with a subject matter expert is done to evaluate the result and confirm the importance of the study. A survey is also conducted with people involved in the procurement process as part of triangulation. …"
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VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems حسب Hisham A. Kholidy (18891802)

Fuzzy Logic Based Patients' Monitoring System حسب Al-Dmour, Jumana

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Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects حسب Mohamed Massaoudi (16888710)

"…This ongoing transition undergoes rapid changes, requiring a plethora of advanced methodologies to process the big data generated by various units. In this context, SG stands tied very closely to Deep Learning (DL) as an emerging technology for creating a more decentralized and intelligent energy paradigm while integrating high intelligence in supervisory and operational decision-making. …"