A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies حسب Farideh Abdollahi (22303153)

Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment حسب Zakaria Tolba (16904718)

"…This paper provides a deep learning-based decryptor for investigating the permutation primitives used in multimedia block cipher encryption algorithms.We aim to investigate how deep learning can be used to improve on previous classical works by employing ciphertext pair aspects to maximize information extraction with low-data constraints by using convolution neural network features to discover the correlation among permutable atoms to extract the plaintext from the ciphered text without any P-box expertise. …"

Spider monkey optimizations: application review and results حسب Abualigah, Laith

"…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …"
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Fuzzy simulated evolution algorithm for topology design of campusnetworks حسب Youssef, H.

"…We present an approach based on the simulated evolution algorithm for the design of campus network topology. …"
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An improved quorum selection algorithm (IQSA). (c2007) حسب Younes, Samer

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Evolutionary algorithm for predicting all-atom protein structure حسب Mansour, Nashat

"…We present an improved version of a scatter search (SS) algorithm for predicting all-atoms protein structures using a recent energy model. …"
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Intelligent Rapidly-Exploring Random Tree Star Algorithm حسب Ahmed, Khidir Galal Eldin Khidir

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The effects of data balancing approaches: A case study حسب Paul Mooijman (4453189)

"…<p dir="ltr">Imbalanced datasets affect the performance of machine learning algorithms adversely. To cope with this problem, several resampling methods have been developed recently. …"

Bee colony algorithm for assigning proctors to exams. (c2013) حسب Taha, Mohamad Kassem

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Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

"…We show that the results of the trained network agree well with the results of the nonlinear finite element analysis. …"

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

"…Recent advances in algorithm design have shown a growing interest in seeking exact solutions to many hard problems. …"
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A Recommended Replacement Algorithm for the Scalable Asynchronous Cache Consistency Scheme حسب Haraty, Ramzi A.

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The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs حسب Muhammad Kashif (3923483)

"…<p dir="ltr">Recent advances in quantum computing and machine learning have brought about a promising intersection of these two fields, leading to the emergence of quantum machine learning (QML). …"

Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy حسب Raad, M.W.

"…A fast waveform sampling facility has been recently developed and integrated into the VAX-based data acquisition system at the Center for Applied Physical Sciences (CAPS). …"
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NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY حسب JINESH, PADIKKAPPARAMBIL

"…Various sensors and equipment are installed in the AAL context to collect a wide variety of data. Furthermore, AAL could be the motivating technique for the most recent care models by working as an adjunct. …"
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XBeGene: Scalable XML Documents Generator by Example Based on Real Data حسب Harazaki, Manami

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A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model حسب Md. Nazmul Islam Shuzan (16888827)

Adaptive Time-Varying Brain Source Localization حسب Al-Momani, Sajedah A.

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Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization حسب Abrar, Shafayat

"…Stop-and-go decision-directed (S&G-DD) equalization is the most primitive blind equalization (BE) method for the cancelling of intersymbol-interference in data communication systems. Recently, this scheme has been applied to complex-valued multilayer feedforward neural network, giving robust results with a lower mean-square error at the expense of slow convergence. …"
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Forecasting the Direction of GCC Stock Indexes Using Support Vector Machine (SVM) Algorithm حسب Zeino, Yaser Abdullah

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