Real-time algorithms have to adapt and adjust to new incoming patterns to provide timely
and accurate responses. This paper presents a new distributed forecasting algorithm for …

Background The effectiveness of biclustering, simultaneous clustering of rows and columns
in a data matrix, was shown in gene expression data analysis. Several researchers …

Pests significantly impact agricultural productivity, making early detection crucial for
maximizing yields. This paper explores the use of machine learning models to predict olive …

Precision agriculture focuses on the development of site-specific harvest considering the
variability of each crop area. Vegetation indices allow the study and delineation of different …

Today in Uzbekistan, fines are imposed for sanctioning violations of agricultural lands, which
are used irrationally in protecting agricultural lands and preventing them from esca** from …

Predicting the occurrence of crop pests is becoming a crucial task in modern agriculture to
facilitate farmers' decision-making. One of the most significant pests is the olive fruit fly, a …

Electricity market forecasting is very useful for the different actors involved in the energy
sector to plan both the supply chain and market operation. Nowadays, energy demand data …

Electricity demand forecasting is very useful for the different actors involved in the energy
sector to plan the supply chain (generation, storage and distribution of energy). Nowadays …

Electricity consumption patterns are critical in sha** energy policies and optimizing
resource allocation. In pursuing a more sustainable and efficient energy future, uncovering …

It is known that agriculture is one of the important sectors of the economy that contributes its
fair share to the development of the Republic of Uzbekistan. The development of value …