Search alternatives:
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
fbe algorithm » deer algorithm (Expand Search), rd algorithm (Expand Search)
element » elements (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
fbe algorithm » deer algorithm (Expand Search), rd algorithm (Expand Search)
element » elements (Expand Search)
-
181
A novel hybrid methodology for fault diagnosis of wind energy conversion systems
Published 2023“…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. …”
-
182
GenDE: A CRF-Based Data Extractor
Published 2020“…A wrapper verifier would check whether a new page from a site complies with the detected schema, and so the extractor will use the wrapper to get instances of the schema types. …”
Get full text
Get full text
-
183
-
184
-
185
Benchmark on a large cohort for sleep-wake classification with machine learning techniques
Published 2019“…We identified among the traditional algorithms, two approaches that perform better than the algorithm implemented by the actigraphy device used in the MESA Sleep experiments. …”
-
186
Modeling and Guidance of an Underactuated Autonomous Underwater Vehicle
Published 2017Get full text
doctoralThesis -
187
Automated skills assessment in open surgery: A scoping review
Published 2025“…The assessment input for the automation algorithms were predominantly hand movement. Around 37.5 % (<i>n </i>= 15) of the studies assessed algorithm performance using classification accuracy. …”
-
188
-
189
Oversampling techniques for imbalanced data in regression
Published 2024“…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …”
-
190
An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation
Published 2019“…With the widespread use of smartphones and the continuous increase of their capabilities, a new sensing paradigm has emerged: mobile crowdsensing. …”
Get full text
Get full text
Get full text
Get full text
article -
191
A Software detector of the Wolff-Parkinson-White (WPW) Syndrome
Published 2000“…This paper presents a software package that has been developed to help physicians in detecting the existence of the Wolff-Parkinson-White (WPW) syndrome in a patient and the location of the accessory pathway in the human heart using D'Avilla's and Iturralde's algorithms. …”
Get full text
Get full text
Get full text
article -
192
Applications of artificial intelligence in ultrasound imaging for carpal-tunnel syndrome diagnosis: a scoping review
Published 2025“…Editorials, expert opinions, conference papers, dataset publications, and studies that did not have a clear clinical application of the AI algorithm were excluded.</p><h3>Results</h3><p dir="ltr">345 articles were identified, following abstract and full-text review by two independent reviewers, 18 manuscripts were included. …”
-
193
An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System
Published 2019“…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …”
Get full text
-
194
Application of Data Mining to Predict and Diagnose Diabetic Retinopathy
Published 2024Get full text
doctoralThesis -
195
A Comprehensive Review of AI’s Current Impact and Future Prospects in Cybersecurity
Published 2025“…We examine cutting-edge AI methodologies and principal models across many domains, including machine learning algorithms, deep learning architectures, natural language processing techniques, and anomaly detection algorithms, emphasizing their distinct contributions to enhancing security. …”
-
196
Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review
Published 2022“…The most common algorithm used in the included studies was support vector machine. …”
-
197
-
198
Predicting Cardiovascular Disease in Patients with Machine Learning and Feature Engineering Techniques
Published 2022“…Cardiac disease prediction and detection are among the most difficult and important jobs encountered by medical practitioners. …”
Get full text
Get full text
-
199
Building power consumption datasets: Survey, taxonomy and future directions
Published 2020“…Based on the analytical study, a novel dataset has been presented, namely Qatar university dataset, which is an annotated power consumption anomaly detection dataset. The latter will be very useful for testing and training anomaly detection algorithms, and hence reducing wasted energy. …”
-
200
Cooperative clustering models for Vehicular ad hoc networks. (c2013)
Published 2013Get full text
Get full text
masterThesis