Review and analysis for the Red Deer Algorithm by Zitar, Raed

Subjects: “…Red Deer Algorithm…”
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Application of Red Deer Algorithm in Optimizing Complex functions by Zitar, Raed

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A Review for the Genetic Algorithm and the Red Deer Algorithm Applications by Abu Zitar, Raed

“…The Red Deer algorithm (RD), a contemporary population-based meta heuristic algorithm, applications are thoroughly examined in this paper. …”
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Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles by Zainab Akhtar (15192184)

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On the periodic hierarchical Chinese postman problem by Muhammed Emre Keskin (19457413)

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Improving the Secure Socket Layer Protocol by modifying its Authentication function by El-Kassar, A. N.

“…Secure Socket Layer (SSL) is a cryptographic protocol widely used to make a secure connection to a Web server. …”
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PAST-AI: Physical-Layer Authentication of Satellite Transmitters via Deep Learning by Gabriele Oligeri (14151426)

“…<p dir="ltr">Physical-layer security is regaining traction in the research community, due to the performance boost introduced by deep learning classification algorithms. …”

A New Hamiltonian Semi-Analytical Approach to Vibration Analysis of Piezoelectric Multi-Layered Plates by Andrianarison, O.

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New Dimensions for Physical Layer Secret Key Generation: Excursion Lengths-Based Key Generation by Muhammad Adil (4899082)

“…<p dir="ltr">Physical Layer-based Secret Key Generation (PLSKG) between the legitimate nodes from the reciprocal wireless channel is a vastly studied area of Physical Layer Security (PLS). …”

Development of an Optimization Algorithm for Internet Data Traffic by Misbahuddin, Syed

“…In this paper, an optimization algorithm is proposed to reduce net data traffic, which works at Internet layer in the TCP/IP reference model. …”
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A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text by M. Ghoniem , Rania

“…The algorithm calculates the concept frequency weights using the term frequency weights. …”
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MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network by Sakib Mahmud (15302404)

“…Because the diagnosis of many neurological diseases is heavily reliant on clean EEG data, it is critical to eliminate motion artifacts from motion-corrupted EEG signals using reliable and robust algorithms. Although a few deep learning-based models have been proposed for the removal of ocular, muscle, and cardiac artifacts from EEG data to the best of our knowledge, there is no attempt has been made in removing motion artifacts from motion-corrupted EEG signals: In this paper, a novel 1D convolutional neural network (CNN) called multi-layer multi-resolution spatially pooled (MLMRS) network for signal reconstruction is proposed for EEG motion artifact removal. …”

Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction by Abdullah, Afsah

“…The Multi-Layer Perceptron Neural Network (MLP) is the commonly used Feedforward Neural Network (FNN) for tackling classification and prediction problems. …”
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Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction by Abdullah, Afsah

“…The Multi-Layer Perceptron Neural Network (MLP) is the commonly used Feedforward Neural Network (FNN) for tackling classification and prediction problems. …”
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Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction by Abdullah, Afsah

“…The Multi-Layer Perceptron Neural Network (MLP) is the commonly used Feedforward Neural Network (FNN) for tackling classification and prediction problems. …”
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Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction by Abdullah, Afsah

“…The Multi-Layer Perceptron Neural Network (MLP) is the commonly used Feedforward Neural Network (FNN) for tackling classification and prediction problems. …”
Get full text
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Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction by Abdullah, Afsah

“…The Multi-Layer Perceptron Neural Network (MLP) is the commonly used Feedforward Neural Network (FNN) for tackling classification and prediction problems. …”
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Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks by Yaacoub, Elias

“…The same conclusions were reached with respect to SVC compared to single layer coding.…”
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YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm by Prabu Selvam (22330264)

“…Finally, an Additional Feature Fusion Layer (AFFL) is introduced in the neck to enhance the performance of the small defect identification. …”

Classifying Maqams of Qur'anic Recitations Using Deep Learning by Shahriar, Sakib

“…An accuracy of 95.7% on the test set is obtained using a 5-layer deep ANN which was trained using 26 input features. …”
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