Forecasting of wind speed and wind power generation is indispensible for the effective
operation of a wind farm, and the optimal management of its revenue and risks. Hybrid …

Air quality time series consists of complex linear and non-linear patterns and are difficult to
forecast. Box–Jenkins Time Series (ARIMA) and multilinear regression (MLR) models have …

Determining the similarity of two shapes is a significant task in both machine and human
vision systems that must recognize or classify objects. The exact properties of human shape …

Recently, Computational Neural Networks (CNNs) and fuzzy inference systems have been
successfully applied to time series forecasting. In this study the performance of a hybrid …

Seer fish (Scomberomorus sierra) and mullet (Mugil cephalus) are some of the most
important marine fishery resources along the Colombian Pacific Ocean. The objective of this …

Climate change has posed a great challenge to global fisheries harvesting. Purpleback
flying squid (Sthenoteuthis oualaniensis) is a major economic cephalopod in the …

Sand media filters are specially used to avoid emitter clogging when water with large
amount of organic pollutants like effluents are used in micro-irrigation systems. Estimation of …

Data management tools and analytics have provided managers with the opportunity to
contemplate inventory performance as an ongoing activity by no longer examining only data …

Hydroacoustic techniques are a valuable tool for the stock assessments of many fish
species. Nonetheless, such techniques are limited by problems of species identification …

In this paper we model spatio-temporal data describing the fishing activities in the Northern
Adriatic Sea over four years. We build, implement and analyze a database based on the …