Food is one of the most traded goods, and the conflict in Ukraine, one of the European
breadbaskets, has triggered a significant additional disruption in the global food supply …

Predictive analytics utilizing machine learning algorithms play a pivotal role in various
domains, including the profiling of carbon dioxide (CO2) emissions. This research paper …

Air pollution is one of the most serious environmental problems faced by human beings, and
it is also a hot topic in the development of sustainable cities. Accurate PM 2.5 prediction …

This paper comprehensively reviews and compares methodologies used to monitor air
quality and their impact on human health. With urbanization and industrialization increasing …

Speaker identification is a classification task which aims to identify a subject from a given
time-series sequential data. Since the speech signal is a continuous one-dimensional time …

Air pollution monitoring is constantly increasing, giving more and more attention to its
consequences on human health. Since Nitrogen dioxide (NO 2) and sulfur dioxide (SO 2) …

Financial data forecasting is conducive to get a better understanding of the future economic
situation. Recently, variational mode decomposition (VMD) is introduced into the field of …

Air pollution is becoming a rising and serious environmental problem, especially in urban
areas affected by an increasing migration rate. The large availability of sensor data enables …

Air pollution presents a serious health challenge in urban metropolises. While accurately
monitoring and forecasting air pollution are highly crucial, existing data-driven models have …

Accurate prediction of water quality contributes to the intelligent management and control of
watershed ecology. Water Quality data has time series characteristics, but the existing …