Search Results - (( knowledge visualization prediction algorithm ) OR ( java binary classification algorithm ))
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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Development of a Prediction Algorithm using Boosted Decision Trees for Earlier Diagnoses on Obstructive Sleep Apnea
Published 2018“…The parameters involved in the prediction algorithms developed are based on common OSA risk factors and visual-inspected variables found in the patients’ records in the OSA datasets collected. …”
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Adopting machine learning to automatically identify a suitable surgery type for refractive error patients
Published 2024“…ML is dedicated to the advancement and use of algorithms that possess the capacity to acquire knowledge from data and enhance their predictive capabilities without explicit programming. …”
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Determining the graduates employability using data analytics model
Published 2023“…By molding its graduates with skills and knowledge in accordance to the industry, With the number of Bachelor of Science in Information Technology graduates increasing each year, we need to visualize and predict future employment. …”
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Mathvision prototype using predictive analytics / Yuzi Mahmud ... [et al.]
Published 2023“…The Multiclass Decision Forest algorithm appeared to be the best predictive model with 95.16% accuracy, as compared to Boosted Decision Tree, Logistic Regression, and Neural Network. …”
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Translating medical image to radiological report: Adaptive multilevel multi-attention approach
Published 2022“…The proposed model is emphasized on multi-level visual-textual knowledge with adaptive attention mechanism to balance visual and linguistic information for the generation of admissible radiology report. …”
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Dynamic modelling of proton exchange membrane fuel cell system for electric bicycle / Azadeh Kheirandish
Published 2016“…On the other hand, the information of fuzzy cognitive map modeling is applicable for modification of neural networks structure for providing more accurate results based on the extracted knowledge from the cognitive map and visualization of the system’s performance.…”
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A novel approach to human motion estimation with applications in human-robot safety
Published 2008“…Supplying knowledge from the presented model of spatial cognition and path planning to mobile robots can enhance their motion algorithms for better obstacle avoidance as well as safer service to users with visual impairment and blindness.…”
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Solubility enhancement of decitabine as anticancer drug via green chemistry solvent: Novel computational prediction and optimization
Published 2022“…Therefore, achieving more knowledge about the development of promising numerical/computational methods of solubility prediction to validate the experimental data may be advantageous for increasing the quality of research and therefore, the efficacy of novel drugs. …”
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Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…We would predict a word from the first two or several characters, and also would utilize the story context to expect the next character or word. …”
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Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…We would predict a word from the first two or several characters, and also would utilize the story context to expect the next character or word. …”
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Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…We would predict a word from the first two or several characters, and also would utilize the story context to expect the next character or word. …”
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