Ear recognition with ensemble classifiers; A deep learning approach
M Sharkas - Multimedia Tools and Applications, 2022 - Springer
Biometrics has emerged as a major domain for security systems. Ear as a biometric has
many distinctive features which makes it promising for personal identification systems. In this …
many distinctive features which makes it promising for personal identification systems. In this …
Text classification algorithms for mining unstructured data: a SWOT analysis
A Kumar, V Dabas, P Hooda - International Journal of Information …, 2020 - Springer
It has become increasingly crucial and imperative to facilitate knowledge extraction for
decision support and deliver targeted information to analysts that span wide application …
decision support and deliver targeted information to analysts that span wide application …
An ensemble learning based classification approach for the prediction of household solid waste generation
With the increase in urbanization and smart cities initiatives, the management of waste
generation has become a fundamental task. Recent studies have started applying machine …
generation has become a fundamental task. Recent studies have started applying machine …
Cifar-10: Knn-based ensemble of classifiers
In this paper, we study the performance of different classifiers on the CIFAR-10 dataset, and
build an ensemble of classifiers to reach a better performance. We show that, on CIFAR-10 …
build an ensemble of classifiers to reach a better performance. We show that, on CIFAR-10 …
Clickbait detection using multiple categorisation techniques
Clickbaits are online articles with deliberately designed misleading titles for luring more and
more readers to open the intended web page. Clickbaits are used to tempt visitors to click on …
more readers to open the intended web page. Clickbaits are used to tempt visitors to click on …
Premature ventricular contraction detection combining deep neural networks and rules inference
F Zhou, L **, J Dong - Artificial intelligence in medicine, 2017 - Elsevier
Premature ventricular contraction (PVC), which is a common form of cardiac arrhythmia
caused by ectopic heartbeat, can lead to life-threatening cardiac conditions. Computer …
caused by ectopic heartbeat, can lead to life-threatening cardiac conditions. Computer …
Surgical workflow recognition with temporal convolution and transformer for action segmentation
Purpose Automatic surgical workflow recognition enabled by computer vision algorithms
plays a key role in enhancing the learning experience of surgeons. It also supports building …
plays a key role in enhancing the learning experience of surgeons. It also supports building …
Ensemble learning approach to motor imagery EEG signal classification
Brain-computer interface (BCI) is an alternative communication pathway between the human
brain and computer system without involving any muscles or actual motor neuron activities …
brain and computer system without involving any muscles or actual motor neuron activities …
Enhancing an imbalanced lung disease x-ray image classification with the CNN-LSTM model
Lung diseases have a significant impact on respiratory health, causing various symptoms
and posing challenges in diagnosis and treatment. This research presents a methodology …
and posing challenges in diagnosis and treatment. This research presents a methodology …
An Ensemble Method to Predict Student Performance in an Online Math Learning Environment.
The number of e-learning platforms and blended learning environments is continuously
increasing and has sparked a lot of research around improvements of educational …
increasing and has sparked a lot of research around improvements of educational …