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821
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822
A new approach and faster exact methods for the maximum common subgraph problem
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conferenceObject -
823
A Terrain classification system for coseismic landslide hazard analysis: Lebanon, a case study
Published 2014“…In this work topographic slope, calculated using Ritter’s algorithm (1987) is used to demarcate landslide failure modes. …”
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conferenceObject -
824
Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring
Published 2019“…The cost-adjusted optimized ensemble algorithm can produce 97% and 88% accuracy of classifying abnormal and normal HS, respectively.…”
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825
A system for sign language recognition using fuzzy object similarity tracking
Published 2005“…In this paper, we have presented a system that performs vision based isolated Arabic sign language recognition using hidden Markov models together with EM algorithm for parameters estimation. …”
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826
" Design of Variable Structure Stabilizer for a Nonlinesr Mode of SMIB System: Particle Swarm Approach"
Published 2006“…In this paper, a particle swarm-(PSO) based variable structure stabilizer (VSC) is proposed for enhancing the dynamic stability of a nonlinear model of synchronous machine infinite busbar system (SMIB). …”
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827
"Design of Variable Structure Stabilizer for a Nonlinesr Mode of SMIB System: Particle Swarm Approach"
Published 2006“…In this paper, a particle swarm-(PSO) based variable structure stabilizer (VSC) is proposed for enhancing the dynamic stability of a nonlinear model of synchronous machine infinite busbar system (SMIB). …”
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828
Predicting stability of classes in an object-oriented system
Published 2010“…In this paper, we present a heuristic approach that relies on the adaptation and recombination of already built predictive models to new unseen software.The predictive models are all rule-based models and the approach is tested on the stability of classes in an object-oriented software system. …”
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829
Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers
Published 2023“…To develop the DT, a dense deep neural network (DNN) machine learning approach is used. The DT is trained offline using a set of experimental data and updated online to get the maximum possible accuracy. …”
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830
PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits
Published 2022“…Before finding toxicity triggers, we built and evaluated various machine learning models to detect toxicity from Reddit comments. Subsequently, we used our best-performing model, a fine-tuned Bidirectional Encoder Representations from Transformers (BERT) model that achieved an area under the receiver operating characteristic curve (AUC) score of 0.983 to detect toxicity. …”
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831
Robustness evaluation of real-Time Protocols
Published 2006“…In this paper, we suggest a methodology for measuring the degree of robustness for Real-Time Component-Based Systems (RTCBS). Each component of the RTCBS system is modeled as a Timed Labeled Transition System (TLTS). …”
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conferenceObject -
832
A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass
Published 2025“…By synthesizing findings across various data sources and model architectures, we offer critical insights into the selection of context-aware algorithms and identify key research gaps, an essential step for advancing the reliability and applicability of AI-driven seagrass conservation efforts.…”
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833
Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks
Published 2023“…An optimal resource allocation scheme is proposed with two scenarios including a guaranteed fairness level and minimum data rate among eMBB users. In addition, a knapsack-inspired punctured resource allocation algorithm is proposed where the users’ channel qualities of both services are considered at each time slot leading to the most suitable Resource Block (RB) selection for puncturing in a way that minimizes the negative impact on eMBB performance. …”
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834
Computational evluation of protein energy functions
Published 2014“…Also, we propose an approach based on a simulated annealing algorithm to find a better combination of energy terms, by assigning different weights to the terms, for the purpose of improving the capability of the computational prediction methods.…”
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conferenceObject -
835
Design and Analysis of Lightweight Authentication Protocol for Securing IoD
Published 2021“…An attacker can easily capture data from the available network channel and use it for their own purpose. …”
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836
Measuring ripple effect for object-oriented programs. (c2004)
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masterThesis -
837
Enhancement of power system dynamic performance through an on-line self-tuning adaptive SVC controller
Published 2006“…The control derived is based on a pole-shifting technique employing a predicted plant model. …”
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838
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
Published 2023“…Soft voting and hard voting strategies are employed to ensemble these CNN models. The pre-trained DenseNet201 network is used for CNN feature extraction from each task-specific handwritten image data. …”
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839
Using Text Mining and Clustering Techniques on Tweets to Discover Trending Topics in Dubai
Published 2015“…Tweets corpus of Dubai were collected, they were presented through the bag of words model using TF-IDF weighting scheme, after that the output of text transformation was introduced to k-means clustering algorithm with cosine similarity measure. …”
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840
Optimal Routing Protocol in Multimedia Wireless Sensor Networks
Published 2011Get full text
doctoralThesis