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Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater
A wide range of dyes are being disposed in water bodies from several industrial runoff and
the quantity is rapidly increasing over the years. From an environmental safety point of view …
the quantity is rapidly increasing over the years. From an environmental safety point of view …
Strategies to measure soil moisture using traditional methods, automated sensors, remote sensing, and machine learning techniques: review, bibliometric analysis …
This review provides a detailed synthesis of various in-situ, remote sensing, and machine
learning approaches to estimate soil moisture. Bibliometric analysis of the published …
learning approaches to estimate soil moisture. Bibliometric analysis of the published …
A novel sequence to sequence data modelling based CNN-LSTM algorithm for three years ahead monthly peak load forecasting
Long-term load forecasting (LTLF) models play an important role in the strategic planning of
power systems around the globe. Obtaining correct decisions on power network expansions …
power systems around the globe. Obtaining correct decisions on power network expansions …