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coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
task algorithm » jaya algorithm (Expand Search)
element » elements (Expand Search)
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A novel few shot learning derived architecture for long-term HbA1c prediction
Published 2024“…Finally, a K-nearest neighbor (KNN) model with majority voting is implemented for the final classification task. The proposed FSL-derived algorithm provides a prediction accuracy of 93.2%.…”
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Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE
Published 2018“…We examined different feature selection methods and classification algorithms to find the best prediction model with the highest accuracy. …”
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LNCRI: Long Non-Coding RNA Identifier in Multiple Species
Published 2021“…But the identification of lncRNAs is an important task to discover their functional role in species. …”
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Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy
Published 2023“…Therefore, this study investigates the effect of optimization algorithms on the prediction accuracy of the multilayer perceptron neural networks (MLPNNs). …”
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MSLP: mRNA subcellular localization predictor based on machine learning techniques
Published 2023“…</p><h3>Methods</h3><p dir="ltr">In this article, we propose MSLP, a machine learning-based method to predict the subcellular localization of mRNA. We propose a novel combination of four types of features representing k-mer, pseudo k-tuple nucleotide composition (PseKNC), physicochemical properties of nucleotides, and 3D representation of sequences based on Z-curve transformation to feed into machine learning algorithm to predict the subcellular localization of mRNAs.…”
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Correlation Clustering with Overlaps
Published 2020“…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
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Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE
Published 2020“…The novel LSTM time series algorithm proved to work best for demand forecasting. …”
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Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV
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An integrated partitioning and synthesis system for dynamically reconfigurable Multi-FPGA architectures
Published 2017“…The SPARCS system accepts design specifications at the behavior level, in the form of task graphs. The system contains a temporal partitioning tool to temporally divide and schedule the tasks on the reconfigurable architecture, a spatial partitioning tool to map the tasks to individual FPGAs, and a high-level synthesis tool to synthesize efficient register-transfer level designs for each set of tasks destined to be downloaded on each FPGA. …”
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Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements
Published 2020“…The model structure is made up of two linear dynamic elements separated by a nonlinear static one. The nonlinear element is assumed to be of the polynomial type with known order; The identification is based on input/output data where the output is contaminated with measurement noise. …”
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Multi-Model Investigation and Adaptive Estimation of the Acoustic Release of a Model Drug From Liposomes
Published 2019“…Finally, the proposed algorithm is not computationally demanding and is capable of online estimation tasks.…”
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A hybrid approach for XML similarity
Published 2007“…Various algorithms for comparing hierarchically structured data, e.g. …”
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MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection
Published 2023“…This paper proposes a novel neural architecture search (NAS) algorithm, named MSD-NAS, to automate this laborious task. …”
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Sentiment analysis for Arabizi in social media. (c2015)
Published 2015“…We took the initiative to make use of this abundance of data by analyzing it and predicting sentiment. Applying the same sentiment analysis techniques that are used on English for Arabic is not a simple task due to their semantic and structural differences, and because Arabic is a rich morphological language. …”
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masterThesis -
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On the complexity of multi-parameterized cluster editing
Published 2017“…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …”
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DAP: A dataset-agnostic predictor of neural network performance
Published 2024“…<p>Training a deep neural network on a large dataset to convergence is a time-demanding task. This task often must be repeated many times, especially when developing a new deep learning algorithm or performing a neural architecture search. …”