Abstract Interbasin Water Transfer (IWT) is often a complex decision-making process that
depends on factors ranging from hydro-meteorological conditions to socio-economic …

This paper proposes an unsupervised method for automatic identification of spammers in a
social network. In our approach, we first investigate the link structure of the network in order …

Abstract Deep Learning based Side-Channel Attacks (DL-SCA) are considered as
fundamental threats against secure cryptographic implementations. Side-channel attacks …

Atherosclerosis is the leading underlying pathologic process that results in cardiovascular
diseases, which represents the main cause of death and disability in the world. The …

Ensemble methods, which train multiple learners for a task, are among the state-of-the-art
learning approaches. The diversity of the component learners has been recognized as a key …

Background Acne is one of the most common skin lesions in adolescents. Some severe or
inflammatory acne leads to scars, which may have major impacts on patients' quality of life …

This study investigated the combined use of multispectral/hyperspectral imagery and LiDAR
data for habitat mapping across parts of south Cumbria, North West England. The …

Objectives Early recognition of breast cancer, the most commonly diagnosed form of cancer
in women, is of crucial importance, given that it leads to significantly improved chances of …

Combining multiple classifiers to create hybrid learners (ensembles) has gained popularity
in recent years. Ensembles are gaining more interest in the field of data mining as they have …

To develop an intelligent imaging detector array, a diffractive neural network with strong
robustness based on the Weight-Noise-Injection training is proposed. According to layered …