Automated skills assessment in open surgery: A scoping review حسب Hawa Hamza (17707224)

"…In this scoping review, we present the open surgeries and clinical settings where AI-based skill assessment has been applied, the kind of surgical data acquired for the AI-based algorithms, and the types of AI-based models used for automated skills assessment. …"

A novel hybrid methodology for fault diagnosis of wind energy conversion systems حسب Khaled Dhibi (16891524)

"…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. …"

Inferential sensing techniques in industrial applications حسب Shakil,, Muhammad

"…Real data from a boiler plant is used to develop the model. …"
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Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management حسب Alhusin, Mohammed Omer Alamin

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Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach حسب El Gohary, Youssef Hesham

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FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK حسب Al-Garni, Ahmed Z.

"…Three years of data are used for model building and validation. …"
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Computation of conformal invariants حسب Mohamed M.S., Nasser

"…We compare the performance and accuracy to previous results in the cases when numerical data is available and also in the case of several model problems where exact results are available.…"
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DNA Base-Calling Techniques حسب Odeh, Fadi

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Positive Unlabelled Learning to Recognize Dishes as Named Entity حسب TAREK, AIMAN

"…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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A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security حسب S. Shitharth (12017480)

"…Moreover, the Reconciliate Multi-Agent Markov Learning (RMML) based classification algorithm is used to predict the intrusion with its appropriate classes. …"

Cross entropy error function in neural networks حسب Nasr, G.E.

"…To forecast gasoline consumption (GC), the ANN uses previous GC data and its determinants in a training data set. …"
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Neural network-based failure rate prediction for De Havilland Dash-8 tires حسب Al-Garni, Ahmed Z.

"…The inputs to the neural network are independent variables and the output is the failure rate of the tires. Six years of data are used for model building and validation. …"
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Computation of conformal invariants حسب Mohamed M.S. Nasser (16931772)

"…We compare the performance and accuracy to previous results in the cases when numerical data is available and also in the case of several model problems where exact results are available.…"

On sensor selection in mobile devices based on energy, application accuracy, and context metrics حسب Taleb, Sireen

"…We use this algorithm to build a sensor selection model to choose among location sensors. …"
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Failure-Rate Prediction for De Havilland Dash-8 Tires Employing Neural-Network Technique حسب Al-Garni, Ahmed Z.

"…The inputs to the neural network are independent variables, and the output is the failure rate of the tires. Six years of data are used for model building and validation. …"
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A geographic information system method to generate long term regional solar radiation resource maps: enhancing decision-making حسب Sachin Jain (19161721)

"…The regression-kriging algorithm and its variants are used to calibrate satellite data, through interpolation of ground solar radiation data. …"

A novel few shot learning derived architecture for long-term HbA1c prediction حسب Marwa Qaraqe (10135172)

"…Short-term CGM time-series data are processed using both novel image transformation approaches, as well as using conventional signal processing methods. …"

Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review حسب Asma Alamgir (18288895)

"…Machine learning models were the most prominent branch of AI used in the prediction of cardiac arrest in the studies (38/47, 81%), and the most used algorithm was the neural network (23/47, 49%). …"

Topology and parameter estimation in power systems through inverter-based broadband stimulations حسب Margossian, Harag

"…This study describes a method for identifying parameters associated with the power system model. In particular, the proposed algorithm in this study addresses the line parameter and topology identification task in the scope of state estimation. …"
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Parallel processing حسب Mansour, Nashat

"…Parallel algorithms, based on simulated annealing, neural networks and genetic algorithms, for mapping irregular data to multicomputers are presented and compared. …"
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