Results 1 to 10 of about 4,361,783 (305)
A Novel Autonomous Perceptron Model for Pattern Classification Applications [PDF]
Entropy, 2019 Pattern classification represents a challenging problem in machine learning and data science research domains, especially when there is a limited availability of training samples.
Alaa Sagheer +2 more
doaj +2 more sources
A Stacking Ensemble Learning Method to Classify the Patterns of Complex Road Junctions
ISPRS International Journal of Geo-Information, 2022 Recognizing the patterns of road junctions in a road network plays a crucial role in various applications. Owing to the diversity and complexity of morphologies of road junctions, traditional methods that rely heavily on manual settings of features and ...
Min Yang +3 more
doaj +1 more source
Feature selection approach using ensemble learning for network anomaly detection
CAAI Transactions on Intelligence Technology, 2020 Feature selection is essential for prioritising important attributes in data to improve prediction quality in machine learning algorithms. As different selection techniques identify different feature sets, relying on a single method may result in risky ...
Doreswamy +2 more
doaj +1 more source
Improving active learning by data balance to reduce annotation efforts
The Journal of Engineering, 2019 Image classification is a fundamental task in image analysis. Recent advances in deep learning have achieved promising results on many image classification benchmarks.
Han Lei +5 more
doaj +1 more source
Water quality prediction method based on preferred classification
IET Cyber-Physical Systems, 2020 Water quality monitoring and prediction are important parts of Cyber Physical Systems. Considering the complexity, diversity, and strong non-linearity of water quality data, a single water quality prediction model is difficult to have a significant ...
Liming Sheng +4 more
doaj +1 more source
Classification of healthcare data using hybridised fuzzy and convolutional neural network
Healthcare Technology Letters, 2019 Healthcare performs a key role in the health of humans in the world. While gathering a huge amount of medical data, the problems will appear on the classification of healthcare data.
Balamurugan Ramasamy, Abdul Zubar Hameed
doaj +1 more source
Micromachines, 2015 Low-cost inertial and motion sensors embedded on smartphones have provided a new platform for dynamic activity pattern inference. In this research, a comparison has been conducted on different sensor data, feature spaces and feature selection methods to ...
Sara Saeedi, Naser El-Sheimy
doaj +1 more source
IET Software, 2023 Malware detection is an important task for the ecosystem of mobile applications (APPs), especially for the Android ecosystem, and is vital to guarantee the user experience of Android APPs.
Tanjie Wang +4 more
doaj +1 more source
Applied Sciences, 2017 Hyperspectral data is not linearly separable, and it has a high characteristic dimension. This paper proposes a new algorithm that combines a deep belief network based on the Boltzmann machine with a self-organizing neural network.
Wei Lan +5 more
doaj +1 more source
Feature selectionâbased android malware adversarial sample generation and detection method
IET Information Security, 2021 With the popularisation of Android smartphones, the value of mobile application security research has increased. The emergence of adversarial technology makes it possible for malware to evade detection.
Xiangjun Li +4 more
doaj +1 more source