بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
fluent processing » text processing (توسيع البحث), melt processing (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
fluent processing » text processing (توسيع البحث), melt processing (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
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481
A novel few shot learning derived architecture for long-term HbA1c prediction
منشور في 2024"…Despite the impact of such prediction capabilities, no work in the literature or industry has investigated the futuristic prediction of HbA1c using current blood glucose (BG) measurements. For the first time in the literature, this work proposes a novel FSL-derived algorithm for the long-term prediction of clinical HbA1c measures. …"
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482
A 3-D vision-based man-machine interface for hand-controlled telerobot
منشور في 2005"…To determine the three-dimensional (3-D) position a tracking algorithm based on uncalibrated cameras with weak perspective projection model is used. …"
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article -
483
Phased Array Technique for Brain Source Localization
منشور في 2012احصل على النص الكامل
doctoralThesis -
484
Mechanical perturbation control of cardiac alternans
منشور في 2018"…Electrical activity is represented in two detailed ionic models, the Luo-Rudy 1 and the Fox models, while two active contractile tension models, namely a smooth variant of the Nash-Panfilov model and the Niederer-Hunter-Smith model, are used to represent mechanical activity in the heart. …"
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article -
485
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486
Enhancement of power system dynamic performance through an on-line self-tuning adaptive SVC controller
منشور في 2006"…Use of a self-tuning adaptive control algorithm as a supplementary controller for the SVC is presented in this article. …"
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article -
487
Edge intelligence for network intrusion prevention in IoT ecosystem
منشور في 2023"…A system architecture is designed for a cloud-based IoT framework to implement the proposed algorithm efficiently. The performance evaluation using standard datasets demonstrates that the proposed model provides an accuracy of up to 99.99%.…"
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احصل على النص الكامل
article -
488
A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems
منشور في 2021"…The GRASP algorithm is used for case studies on several public transport systems having various properties and sizes. …"
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489
A novel hybrid methodology for fault diagnosis of wind energy conversion systems
منشور في 2023"…Therefore, a hybrid feature selection based diagnosis technique, that can preserve the advantages of wrapper and filter algorithms as well as RF model, is proposed. In the first phase, the neighborhood component analysis (NCA) filter algorithm is used to reduce and select only the pertinent features from the original raw data. …"
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490
A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security
منشور في 2023"…Moreover, the Reconciliate Multi-Agent Markov Learning (RMML) based classification algorithm is used to predict the intrusion with its appropriate classes. …"
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491
Design and implementation of a deep learning-empowered m-Health application
منشور في 2023"…Later, the web service classifies using the pre-trained model built based on a deep learning algorithm. …"
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492
A novel network-based SIS framework for improved GA performance
منشور في 2025"…Genetic algorithms have long been used to solve complex optimization problems by mimicking natural selection processes. …"
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احصل على النص الكامل
masterThesis -
493
Toward automatic motivator selection for autism behavior intervention therapy
منشور في 2022"…The states, actions and rewards design consider the factors that impact the efectiveness of a motivator based on applied behavior analysis as well as learners’ individual preferences. We use a Q-learning algorithm to solve the modeled problem. …"
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494
Neural network-based failure rate prediction for De Havilland Dash-8 tires
منشور في 2006"…An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as a learning rule is developed. …"
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article -
495
Corona power loss computation in bundled bipolar conductors
منشور في 2000"…The effectiveness of the present method is demonstrated using HVDC full scale and laboratory model transmission lines. …"
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article -
496
Online Control and Optimization of Directional Drilling
منشور في 2020"…In this thesis, dynamic modeling of two different DSS were developed and optimized using different control and optimization techniques. …"
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masterThesis -
497
A combinatorial auction‐based approach for ridesharing in a student transportation system
منشور في 2023"…The concept of ridesharing is used and the mechanism of combinatorial auctions is incorporated within a routing-based model. …"
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498
Automatic and Intelligent Stressor Identification Based on Photoplethysmography Analysis
منشور في 2021"…This work leverages the output of wearable technology to provide automatic stress and stressor identification model. In particular, this study proposes a novel algorithm that first detects instances of stress and then classifies the stressor type using photoplethysmography (PPG) data from wearable smartwatches. …"
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499
Edge intelligence for network intrusion prevention in IoT ecosystem
منشور في 2023"…A system architecture is designed for a cloud-based IoT framework to implement the proposed algorithm efficiently. The performance evaluation using standard datasets demonstrates that the proposed model provides an accuracy of up to 99.99%.…"
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500
Positive Unlabelled Learning to Recognize Dishes as Named Entity
منشور في 2019"…I work with Yelp dataset, going through each text review, using each noun as a candidate, label the positive samples using the aforementioned lookup table, then using Positive Unlabelled learning techniques to recognise more entities within the unlabelled data, by predicting the probability for each candidate. …"
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