A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption حسب Azadeh, Ali

"…Design/methodology/approach In the proposed approach, the parameter tuning process is performed on all parameters of genetic algorithm (GA), and the finest coefficients with minimum errors are identified. …"
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Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) حسب Fares Almomani (12585685)

"…The removal efficiencies in the proposed ENR-BP were four fold higher than the suspended growth process and in the same order of magnitude of 5-stage Bardenpho-MBBR. …"

Ensemble Deep Random Vector Functional Link Neural Network for Regression حسب Minghui Hu (2457952)

A Deployment Optimization Model for Wimax Base-Stations حسب Aboualmal, Abdulhadi Mahmoud

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An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

"…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …"
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Optimizing ADWIN for Steady Streams حسب Moharram, Hassan

"…However, online machine learning comes with many challenges for the different aspects of the learning process, starting from the algorithm design to the evaluation method. …"
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Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies حسب Mohamed, Eman

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Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review حسب Alaa Abd-alrazaq (17058018)

"…The most common validation techniques used in the included studies were k-fold cross-validation and training-test split validation. …"

Dynamic single node failure recovery in distributed storage systems حسب Itani, M.

"…We selected fractional repetition coding due to its simple repair mechanism that minimizes the repair and disk access bandwidths together with the property of un-coded repair process. To minimize the system repair cost, we formulate our problem using incidence matrices and solve it heuristically using genetic algorithms for all possible cases of single node failures. …"
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Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment حسب Safak Bayram (16925975)

"…The spatial optimization problem is solved using a linear-programming relaxation based MCLP algorithm developed in Python. Five cities with growing populations, namely San Clara, CA, Salt Lake City, UT, Raleigh, NC, Denver, CO, and Los Angeles, CA, are chosen as case studies. …"

LDSVM: Leukemia Cancer Classification Using Machine Learning حسب Abdul Karim (417009)

"…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …"