The importance of data quality and quantity cannot be overstated in automatic data analysis
systems. An important factor to take into account is the capability to assign a data item to …

Abstract Purpose Convolutional Neural Networks (ConvNets) have quickly become popular
machine learning techniques in recent years, particularly in the classification and …

As a paradigm shift in tandem with the expansion of ICT, smart electronic health systems
hold great promise for enhancing healthcare delivery and illness prevention efforts. These …

Introduction Diagnosis of cancer in breast cells is an important and vital issue in the field of
medicine. In this context, the use of advanced methods such as deep complex neural …

Purpose Microarray information is crucial for the identification and categorisation of
malignant tissues. The very limited sample size in the microarray has always been a …

Purpose Screening programs use mammography as a diagnostic tool for the early detection
of breast cancer. Mammogram enhancement is used to increase the local contrast of the …

Due to the exponential rise of ICT technologies, the digital banking industry has made
tremendous advancements in user-friendly, effective, and quick financial transactions …

In Multi-Label Classification (MLC), each data sample is characterized by multiple labels. In
ML, there is no restriction on the number of classes a data sample could belong to. Various …

Tracking objects is a crucial problem in image processing and machine vision, involving the
representation of position changes of an object and following it in a sequence of video …

An extremely high number of geographically dispersed, energy‐limited sensor nodes make
up wireless sensor networks. One of the critical difficulties with these networks is their …