Decision forests (also known as random forests) are an indispensable tool for automatic
image analysis. This practical and easy-to-follow text explores the theoretical underpinnings …

Nitrogen gas crossover (NGC) and nitrogen accumulation at the anode of proton exchange
membrane (PEM) fuel cells are ineluctable and it would lead to inferior performance and …

The definition of lithology in oil wells by means of multiple geophysical analysis profiles an
important role in the reservoir characterization process. From this one can generate …

Short-term traffic speed forecasting is an important component of Intelligent Transportation
Systems (ITS). Multi-step-ahead prediction can provide more information and predict the …

Health monitoring and related technologies are a rapidly growing area of research. To date,
the electrocardiogram (ECG) remains a popular measurement tool in the evaluation and …

Recent advances in artificial intelligence with traditional machine learning algorithms and
deep learning architectures solve complex classification problems. This work presents the …

Cancer stem cells (CSCs) undergo epithelial-mesenchymal transition (EMT) to drive
metastatic dissemination in experimental cancer models. However, tumour cells undergoing …

Artificial intelligence is revolutionizing all fields that affect people's lives and health. One of
the most critical applications is in the study of tumors. It is the case of glioblastoma (GBM) …

Synthetic peptides are commonly used in biomedical science for many applications in basic
and translational research. While peptide synthesis is generally easy and reliable, the …

To achieve accurate vision-based control with a robotic arm, a good hand-eye coordination
is required. However, knowing the current configuration of the arm can be very difficult due …