An efficient approach for textual data classification using deep learning حسب Abdullah Alqahtani (7128143)

"…<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. …"

Efficient Test Compaction for Combinational Circuits Based on Fault Detection Count-Directed Clustering حسب El-Maleh, Aiman H.

"…In this paper, we present a new static test compaction algorithm based on test vector decomposition and clustering. …"
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FPGA-Based Network Traffic Classification Using Machine Learning حسب Elnawawy, Mohammed

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Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials حسب Ghouti, Lahouari

"…The proposed techniques are: i) a batch-type deconvolution method using the complex bicepstrum algorithm, and ii) automatic ultrasonic defect classification system using a modular learning strategy. …"
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A Graph Heuristic Approach for the Data Path Allocation Problem حسب Makhoul, Racha

"…To optimize this allocation problem, a variation of the Fiduccia-Mattheyses (FM) algorithm is presented. The algorithm starts with a schedule as input and partitions it into available hardware resources using a modifi ed version of the Fiduccia-Mattheyses algorithm to t the datapath allocation problem. …"
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Reliability and fault tolerance based topological optimization of computer networks - part I: enumerative techniques حسب Abd-El-Barr, Mostafa

"…Experimental results obtained from a set of randomly generated networks using the proposed algorithms are presented and compared to those obtained using existing techniques. …"
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Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review حسب Zainab Jan (17306614)

"…A higher level of accuracy (99%) was found in studies that used support vector machine, decision trees, and k-means clustering algorithms. …"

Development of a deep learning-based group contribution framework for targeted design of ionic liquids حسب Sadah Mohammed (18192859)

"…<p dir="ltr">In this article, we present a novel deep learning-based group contribution framework for the targeted design of ionic liquids (ILs). …"

Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining حسب Alqaryouti, Omar

"…Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. The usability of the proposed framework is evaluated using the System Usability Scale (SUS) resulting in overall high acceptability levels across all users. …"
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Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques حسب Abd-El-Barr, Mostafa

"…Experimental results for a set of 10 randomly generated networks using the three iterative techniques are presented and compared. …"
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Joint distributed synchronization and positioning in UWB ad hoc networks using TOA حسب Denis, B.

"…Finally, the proposed distributed maximum log-likelihood algorithm proves to preserve a reasonable level of complexity in each node by approximating asynchronously the positive gradient direction of the log-likelihood function. …"
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Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments حسب Billel Essaid (22047578)

"…These processes begin with capturing speech in analog form and applying signal processing algorithms to ensure compatibility with devices like cochlear implants (CIs). …"

An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization حسب Majdi Mansouri (16869885)

"…First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is proposed. …"

Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem حسب Tao Li (86810)

"…The experimental results affirm the effectiveness of these approaches and algorithm.…"

A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks حسب Yassine Himeur (14158821)

"…This paper introduces a new solution to detect energy consumption anomalies based on extracting micro-moment features using a rule-based model. …"

Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice حسب Turker Tuncer (16677966)

"…Our approach is a simple and efficient voice-based algorithm in which a multi-center and multi threshold based ternary pattern is used (MCMTTP). …"

Developing a UAE-Based Disputes Prediction Model using Machine Learning حسب Abu Laila, Ibrahim Wasef Subhi

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Exploiting Sparsity in Amplify-and-Forward Broadband Multiple Relay Selection حسب Ala Gouissem (7006463)

"…In particular, by separating all the subcarriers or some subcarrier groups from each other and by optimizing the selection and beamforming vector(s) using OMP algorithm, a higher level of frequency diversity can be achieved. …"

A degree-based heuristic for strongly connected dominating-absorbent sets in wireless ad-hoc networks حسب Abu-Khzam, Faisal N.

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Using artificial intelligence to improve body iron quantification: A scoping review حسب Abdulqadir J. Nashwan (11659453)

"…The search revealed a wide range of machine learning algorithms used by different studies. Notably, most studies used a single data type. …"