On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise حسب Saab, Samer S.

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A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network حسب Xiaofang Pan (1895950)

Modelling And Analysis Of A Multi-Stage Order Quantity Model حسب Andijani, A. A.

"…A single-item, multi-stage serial order quantity (MSOQ) model with constant demand is discussed. …"
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Second-order conic programming for data envelopment analysis models حسب Mourad, Nahia

"…This paper constructs a second-order conic optimization problem unifying several DEA models. …"
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CNN and HEVC Video Coding Features for Static Video Summarization حسب Issa, Obada

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Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory حسب Nadia Rasheed (22997257)

An exact and general model order reduction technique for the finite element solution of elastohydrodynamic lubrication problems حسب Habchi, W.

"…This work presents an exact and general model order reduction (MOR) technique for a fast finite element resolution of elastohydrodynamic lubrication (EHL) problems. …"
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Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants حسب Abouzeid M. Shalaby (16810695)

"…We get accurate results for the whole coupling space and the precision is improved systematically in using higher orders. Precise results for the critical exponents of the O(4)-symmetric field model in three dimensions have been obtained from resummation of the recent six-loops order of the corresponding perturbation series. …"

Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms حسب Almahmood, Mothanna

"…Eighteen classification models were built using different classification algorithms such as Gaussian Naive Bais, Logistic Regression, k-nearest neighbors, Random Forest, and Decision Tree. …"
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High-order parametrization of the hypergeometric-Meijer approximants حسب Abouzeid M. Shalaby (16329062)

"…We applied the algorithm for different orders (up to O(29)) of the ground state energy of the x⁴anharmonic oscillator with and without the non-perturbative information. …"

Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments حسب Billel Essaid (22047578)

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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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices حسب Khawam, Yahya Bader

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Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines حسب Saleh, Ayat

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Teaching–learning-based optimization algorithm: analysis study and its application حسب Abualigah, Laith

"…The fundamentals of the TLBO algorithm have recently been updated by many researchers to improve its exploration and exploitation capabilities as well as performance. …"
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Competitive learning/reflected residual vector quantization for coding angiogram images حسب Mourn, W.A.H.

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Automatic Video Summarization Using HEVC and CNN Features حسب Issa, Obada

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Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems حسب Abualigah, Laith

"…The proposed method is based on enhancing the search process of the Prairie Dog Optimization Algorithm (PDOA) by using the primary updating mechanism of the Dwarf Mongoose Optimization Algorithm (DMOA). …"
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Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection حسب Ahmad Yaser Alhaddad (7017434)

"…Wearable devices and non-invasive sensors for blood glucose monitoring have witnessed considerable advances. This review is an update on recent contributions utilizing novel sensing technologies over the past five years which include electrocardiogram, electromagnetic, bioimpedance, photoplethysmography, and acceleration measures as well as bodily fluid glucose sensors to monitor glucose and trend detection. …"