Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing حسب Al Sadawi, Alia

"…A Master of Science thesis in Engineering Systems Management by Alia Al Sadawi entitled, "Efficient Dynamic Cost Scheduling Algorithm for Data Batch Process," submitted in May 2016. …"
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Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

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DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data حسب Assaf, Ali

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Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994) حسب Kawash, Jalal Y.

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Efficient Approximate Conformance Checking Using Trie Data Structures حسب Awad, Ahmed

"…Conformance checking compares a process model and recorded executions of a process, i.e., a log of traces. …"
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Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain حسب Al Sadawi, Alia

"…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …"
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Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

"…We present the new framework for the detection of cyberattacks, which makes use of AI and ML. We begin a process to cleaning up the data in the CPS database by applying normalization to eliminate errors and duplication. …"
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I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams حسب Raun, Kristo

"…Online conformance checking deals with finding discrepancies be tween real-life and modeled behavior on data streams. The current state-of-the-art output of online conformance checking is a prefix alignment, which is used for pinpointing the exact deviations in terms of the trace and the model while accommodating a trace’s unknown termination in an online setting. …"
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Estimating Construction Project Duration Using a Machine Learning Algorithm حسب Nasr, Joshua

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A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System حسب Ameema Zainab (16864263)

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Graph Computing Systems and Partitioning Techniques: A Survey حسب Tewodros Alemu Ayall (19273717)

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Metaheuristic Algorithm for State-Based Software Testing حسب Haraty, Ramzi A.

"…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …"
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Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm حسب Odat, Alhaj-Saleh A.

"…Additionally, these data can be readily applied to compare algorithmic results referenced by (Babu, T.S. et al., 2015; PrasanthRam, J. et al., 2017) [2,3], and contribute to the development of new processes for practical applications.…"
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A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

"…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. …"

Genetic and heuristic algorithms for regrouping service sites. (c2000) حسب Tabbara, Hiba

الموضوعات: "…Genetic algorithms -- Data processing…"
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On the steiner walk problem. (c2009) حسب Maarouf, Amina

الموضوعات: "…Euclidean algorithm -- Data processing…"
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A genetic algorithm for corrective retesting. (c1995) حسب Fakih, Khaled A.

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Process Mining over Unordered Event Streams حسب Awad, Ahmed

"…Process mining is no longer limited to the one-off analysis of static event logs extracted from a single enterprise system. …"
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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks حسب Najam Us Sahar Riyaz (22927843)

"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R² = 0.05 to 0.99 in a representative thiophene set. …"

An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

"…As a result, the prediction models built on one data set show a significant deterioration of their accuracy when they are used to classify new, unseen data. …"
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