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161
An efficient approach for textual data classification using deep learning
Published 2022“…<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. …”
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162
Efficient Test Compaction for Combinational Circuits Based on Fault Detection Count-Directed Clustering
Published 2006“…In this paper, we present a new static test compaction algorithm based on test vector decomposition and clustering. …”
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163
FPGA-Based Network Traffic Classification Using Machine Learning
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doctoralThesis -
164
Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials
Published 1997“…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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masterThesis -
165
A Graph Heuristic Approach for the Data Path Allocation Problem
Published 2022“…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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masterThesis -
166
Reliability and fault tolerance based topological optimization of computer networks - part I: enumerative techniques
Published 2003“…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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167
Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review
Published 2023“…A higher level of accuracy (99%) was found in studies that used support vector machine, decision trees, and k-means clustering algorithms. …”
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168
Development of a deep learning-based group contribution framework for targeted design of ionic liquids
Published 2024“…<p dir="ltr">In this article, we present a novel deep learning-based group contribution framework for the targeted design of ionic liquids (ILs). …”
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169
Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining
Published 2021“…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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170
Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques
Published 2003“…Experimental results for a set of 10 randomly generated networks using the three iterative techniques are presented and compared. …”
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171
Joint distributed synchronization and positioning in UWB ad hoc networks using TOA
Published 2006“…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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172
Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments
Published 2025“…These processes begin with capturing speech in analog form and applying signal processing algorithms to ensure compatibility with devices like cochlear implants (CIs). …”
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173
An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization
Published 2022“…First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is proposed. …”
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174
Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem
Published 2025“…The experimental results affirm the effectiveness of these approaches and algorithm.…”
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175
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
Published 2022“…This paper introduces a new solution to detect energy consumption anomalies based on extracting micro-moment features using a rule-based model. …”
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176
Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice
Published 2020“…Our approach is a simple and efficient voice-based algorithm in which a multi-center and multi threshold based ternary pattern is used (MCMTTP). …”
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177
Developing a UAE-Based Disputes Prediction Model using Machine Learning
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doctoralThesis -
178
Exploiting Sparsity in Amplify-and-Forward Broadband Multiple Relay Selection
Published 2019“…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. …”
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179
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180
Using artificial intelligence to improve body iron quantification: A scoping review
Published 2023“…The search revealed a wide range of machine learning algorithms used by different studies. Notably, most studies used a single data type. …”