A Parallel Neural Networks Algorithm for the Clique Partitioning Problem حسب Harmanani, Haidar M.

"…The clique partitioning problem has important applications in many areas including VLSI design automation, scheduling, and resources allocation. In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …"
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A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs† حسب Harmanani, Haidar

"…The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and k colours. …"
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A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net حسب Sania Gul (18272227)

"…We will discuss the need for AE, U-Net comparison to other DNNs, the benefits of converting the audio to 2D, input representations that are useful for different AE applications, the architecture of vanilla U-Net and the pre-trained models, variations in vanilla architecture incorporated in different E models, and the state-of-the-art AE algorithms based on U-Net in various applications. …"

Genetic and heuristic algorithms for regrouping service sites. (c2000) حسب Tabbara, Hiba

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Content-Symmetrical Multidimensional Transpose of Image Sequences for the High Efficiency Video Coding (HEVC) All-Intra Configuration حسب Shanableh, Tamer

"…This work proposes a pre- and post-coding solution using the content-symmetrical multidimensional transpose of raw video sequences. …"
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Deep Reinforcement Learning for Resource Constrained HLS Scheduling حسب Makhoul, Rim

"…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
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Pre-production movie rating prediction using machine learning. (c2017) حسب Gerges, Firas Abdallah

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A kernelization algorithm for d-Hitting Set حسب Abu-Khzam, Faisal N.

"…For a given parameterized problem, π, a kernelization algorithm is a polynomial-time pre-processing procedure that transforms an arbitrary instance of π into an equivalent one whose size depends only on the input parameter(s). …"
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Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

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Fetal ECG Signal Enhancement حسب Ahmadi, Maryam

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Defense against adversarial attacks: robust and efficient compressed optimized neural networks حسب Insaf Kraidia (19198012)

"…This study compresses the generative pre-trained transformer (GPT) by 65%, saving time and memory without causing performance loss. …"

Prediction of EV Charging Behavior Using Machine Learning حسب Shahriar, Sakib

"…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …"
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Cortical EEG Source Localization of Focal Epilepsy حسب Siyam, Wisal Elfatih Mohamed

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A Framework for Predictive Modeling in Sustainable Projects حسب Labban, Tarek

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Segmenting Handwritten Arabic Text حسب Haraty, Ramzi A.

"…The algorithm then generates pre-segmentation points for these blocks. …"
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A Neuro-Heuristic Approach for Segmenting Handwritten Arabic Text حسب Haraty, Ramzi

"…The algorithm then generates pre-segmentation points for these blocks. …"
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Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models حسب Theng, Lau Wei

"…The dataset consists of 1000 images which having 250 of images for each type of salak. Pre-processing on the dataset is required to standardize the dataset by resizing the image into 224 * 224 pixels, convert into jpg format and augmentation. …"
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A neuro-heuristic approach for segmenting handwritten Arabic text. (c2001) حسب Hamid, Alaa A.

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Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System حسب Abougharib, Arwa

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A novel hybrid methodology for fault diagnosis of wind energy conversion systems حسب Khaled Dhibi (16891524)

"…The proposed technique involved two major steps: feature selection and fault classification. Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …"