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sharing algorithm » learning algorithms (Expand Search), search algorithm (Expand Search), swarm algorithm (Expand Search)
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data sharing » data hiding (Expand Search)
sharing algorithm » learning algorithms (Expand Search), search algorithm (Expand Search), swarm algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
models algorithm » mould algorithm (Expand Search), deer algorithm (Expand Search)
data sharing » data hiding (Expand Search)
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Improving Rule Set Based Software Quality Prediction
Published 2003Get full text
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Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
Published 2022“…The two movies are Wahed Tani which translates to (someone else) and Amahom which translate to (their uncle), Three datasets were employed, and several categorization models were compared across them. Prior to performing sentiment analysis, it is necessary to prepare the data so that it may be used to train machine learning (ML) algorithms. …”
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STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization
Published 2025“…For stationary sources, the proposed system gives satisfactory performance in terms of quality, intelligibility, and separation speed, and generalizes well with the test data from a mismatched speech corpus. Its perceptual evaluation of speech quality (PESQ) score is 0.55 points better than a self-supervised learning (SSL) model and almost equivalent to the diffusion models at computational cost and training data which is many folds lesser than required by these algorithms. …”
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Cross entropy error function in neural networks
Published 2002“…To forecast gasoline consumption (GC), the ANN uses previous GC data and its determinants in a training data set. …”
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Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
Published 2019Get full text
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Exploring Digital Competitiveness through Bayesian Belief Networks
Published 2025“…The methodology involves constructing BBN models using data from the IMD Digital Competitiveness Ranking 2023 for 64 countries. …”
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A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem
Published 2021“…To evaluate the modified CHIO, twosets of data sets are used: the first data set has ten Synthetic CVRP models while the second is an ABEFMPdata set which has 27 instances with different models. …”
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Anomaly Detection Based Framework for Profile Monitoring
Published 2023Get full text
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FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK
Published 2007“…Three years of data are used for model building and validation. …”
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Improving INS/GPS Integration for Mobile Robotics Applications
Published 2008Get full text
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Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet
Published 2025“…The model’s hyperparameters are optimized using an Enhanced Firefly Algorithm (EFA). …”
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Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care
Published 2022“…The XGboost algorithm is suggested from 10-fold cross-validation on 6 candidate models. …”
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Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
Published 2019“…We trained and validated the models using the OGTT and demographic data of 1,492 healthy individuals collected during the San Antonio Heart Study. …”
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Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks
Published 2023“…A case study has been done in the Peer Panjal region. The data collected for four months with various parameters have been applied randomly as input data using GD and LM type of artificial neural network compared to actual solar energy data. …”
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Scheduling and allocation in high-level synthesis using stochastic techniques
Published 2020“…High-level synthesis is the process of automatically translating abstract behavioral models of digital systems to implementable hardware. …”
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