Machine learning has emerged with big data technologies and high-performance computing
to create new opportunities for data intensive science in the multi-disciplinary agri�…

Machine learning is a technique for recognizing patterns that can be applied to medical
images. Although it is a powerful tool that can help in rendering medical diagnoses, it can be�…

Biochar application is a promising strategy for the remediation of contaminated soil, while
ensuring sustainable waste management. Biochar remediation of heavy metal (HM)�…

Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides
opportunities for the discovery and development of innovative drugs. Various machine�…

Data analysis is used as a common method in modern science research, which is across
communication science, computer science and biology science. Clustering, as the basic�…

Because many animal species are undescribed, and because the identification of known
species is often difficult, interim taxonomic nomenclature has often been used in biodiversity�…

Our personal social networks are big and cluttered, and currently there is no good way to
organize them. Social networking sites allow users to manually categorize their friends into�…

This book is addressed to people with research interests in the nature of mathematical
thinking at any level, topeople with an interest in" higher-order thinking skills" in any domain�…

Abstract Machine learning (ML) pervades an increasing number of academic disciplines and
industries. Its impact is profound, and several fields have been fundamentally altered by it�…

Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to�…