Considering the variability of the farming resources such as soil, fertilizer and weather
conditions including crops. Proper utilization of these resources for high yield is paramount …

Abstract Sustainable Development Goals (SDG) are at the forefront of government initiatives
across the world. The SDGs are primarily concerned with promoting sustainable growth via …

Meta-learning, or learning to learn, is the science of systematically observing how different
machine learning approaches perform on a wide range of learning tasks, and then learning …

Short-Term Electricity Load Forecasting (STELF) through Data Analytics (DA) is an emerging
and active research area. Forecasting about electricity load and price provides future trends …

Forecasting the electricity load provides its future trends, consumption patterns and its
usage. There is no proper strategy to monitor the energy consumption and generation; and …

Meta-learning is increasingly used to support the recommendation of machine learning
algorithms and their configurations. These recommendations are made based on meta-data …

The area of corporate bankruptcy prediction attains high economic importance, as it affects
many stakeholders. The prediction of corporate bankruptcy has been extensively studied in …

Several AutoML tools aim to facilitate the usability of machine learning algorithms,
automatically recommending algorithms using techniques such as meta-learning, grid …

The demand for performing data analysis is steadily rising. As a consequence, people of
different profiles (ie, nonexperienced users) have started to analyze their data. However, this …

Community networks (CNs) have gained momentum in the last few years with the increasing
number of spontaneously deployed WiFi hotspots and home networks. These networks …