TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection حسب Zina Chkirbene (16869987)

"…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. …"

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval حسب Mohammed Tahar Habib Kaib (21633176)

"…Generally, RKPCA reduces the number of samples in the training data set and then builds the KPCA model based on this data set. …"

High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm حسب Badreddine Kanouni (23073244)

A hybrid cryptosystem based on WEP for 802.11 networks. (c2006) حسب Horr, Walid Majed

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Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification حسب Rajendra Babu Chikkala (22330876)

"…In this study, we introduce an innovative method for the multi-classification of breast cancer histopathological images utilizing Bidirectional Recurrent Neural Networks (BRNN). The BRNN structure consists of four unique elements: the backbone branch for transfer learning, the Gated Recurrent Unit (GRU), the residual collaborative branch, and the feature fusion module. …"

Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization حسب Abu Zitar, Raed

"…The IPDOA performance was compared with the other 8 metaheuristic optimization algorithms and the testing showed its superiority over those techniques for solving this complex problem. …"
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Robust Control Of Sampled Data Systems حسب AL-Sunni, Fouad

"…They then present a numerical controller design algorithm based on the derived bounds. Examples are used for demonstration.…"
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Robust control of sampled data systems حسب Al-Sunni, F.M.

"…They then present a numerical controller design algorithm based on the derived bounds. Examples are given for demonstration…"
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Robust Control Of Sampled Data Systems حسب AL-Sunni, Fouad

"…They then present a numerical controller design algorithm based on the derived bounds. Examples are used for demonstration.…"
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Robust Control Of Sampled Data Systems حسب AL-Sunni, Fouad

"…They then present a numerical controller design algorithm based on the derived bounds.Examples are used for demonstration.…"
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Bee Colony Algorithm for Proctors Assignment. حسب Mansour, Nashat

"…The Bee Colony algorithm is a recent population-based search algorithm that mimics the natural behavior of swarms of honey bees during the process of collecting food. …"
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Exam scheduling algorithms. (c1999) حسب Mikati, Ziad

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Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... حسب Mohamed, AlShuweihi

"…A special consideration was given to data pre-processing and dimensionality reduction such Chi Squared (CS) and Recursive Feature Elimination (RFE) to improve progressively the proposed models performance. …"
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Data Redundancy Management in Connected Environments حسب Mansour, Elio

"…We describe its modules, and clustering-based algorithms. Moreover, our proposal detects temporal, and spatial-temporal redundancies in order to consider both static and mobile devices/sensors. …"
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Unsupervised outlier detection in multidimensional data حسب Atiq ur Rehman (14153391)

"…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. Furthermore, the existence of anomalies in the data can heavily degrade the performance of machine learning algorithms. …"

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

"…<p>Resistance to differential cryptanalysis is a fundamental security requirement for symmetric block ciphers, and recently, deep learning has attracted the interest of cryptography experts, particularly in the field of block cipher cryptanalysis, where the bulk of these studies are differential distinguisher based black-box attacks. 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. …"

A simulated annealing algorithm for unit commitment حسب Mantawy, A.H.

"…This paper presents a simulated annealing algorithm (SAA) to solve the unit commitment problem (UCP). …"
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Automatic and Intelligent Stressor Identification Based on Photoplethysmography Analysis حسب Sami Elzeiny (16891521)

An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling حسب ALKETBI, SAIF

"…The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …"
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Artificial neural network algorithms. (c1999) حسب Ramadan, Samer N.

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