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Crop Yield Prediction for Smart Agriculture with Climatic Parameters Using Random Forest
It is estimated that more than 50% of the world’s population depends on agriculture, making it a pillar of the global economy. Variations in weather,...
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Deep learning based concurrent excited gated recurrent unit for crop recommendation based on soil and climatic conditions
Agriculture plays a substantial part in aggregating the nation's economic growth. The production of crops had been greatly affected due to...
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ICE-VDOP: an integrated clustering and ensemble machine learning methods for an enhanced vector-borne disease outbreak prediction using climatic variables
Dengue is prone to cause frequent disease outbreaks. An early outbreak prediction based on the climatic variables is essential to control the...
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Application of ANN and traditional ML algorithms in modelling compost production under different climatic conditions
Plentiful and diverse Organic wastes such as green, food, pruning and landsca** waste necessitate upon effective and efficient recycling strategies...
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Performance and Stability of Halide Perovskite Solar Cells in Bahir Dar Climatic Conditions
Perovskite solar cells are one of the most promising solar cell technologies, showing rapid development in power conversion efficiency (PCE). In this...
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Artificial intelligence models for prediction of monthly rainfall without climatic data for meteorological stations in Ethiopia
Global climate change is affecting water resources and other aspects of life in many countries. Rainfall is the most significant climate element...
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Fast Conversion of Material Parameters of Asphalt Mixture by Laplace Transform
The rapid conversion of material parameters of asphalt mixture by Laplace transform is an analytical method to determine the density, viscosity and...
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Feed-forward ANN and traditional machine learning-based prediction of biogas generation rate from meteorological and organic waste parameters
This study presents a comprehensive investigation into the prediction of biogas production (BP) using meteorological parameters and organic waste...
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Development of Processing Algorithms for the Retrieval of Snow/Ice Parameters from SAR Data
The primary objective of this project is to extract wet/dry snow parameters which helps in snow avalanche effect. The most powerful way to evaluate...
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Neural Network Model for Predicting Apple Yield Based on Arrival of Phenological Stage in Conjunction with Leaf disease, Soil and Weather Parameters
Forecasting the yield of a vital crop-like apples needs to be done in a way that is both accurate and dependable to facilitate effective planning and...
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Flood Susceptibility Map** Using Morphometric Parameters and GIS
The present study investigates sub-watershed prioritization for floodFlood susceptibility map** of the Silabati River basinSilabati River basin...
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Climatic signatures in the different COVID-19 pandemic waves across both hemispheres
The roles of climate and true seasonal signatures in the epidemiology of emergent pathogens, and that of SARS-CoV-2 in particular, remain poorly...
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Research on Improved K-Means Clustering Algorithm for Smart Energy Meter Based on Climatic Features
In the existing clustering algorithm research of smart meters, it is based on the operation data or load curve of smart meters, and there is no...
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Estimation of Glacier Velocity of Ny-Ålesund, Arctic Using Sentinel-1 Remote Sensing Data
Glaciers serve as crucial indicators of climate change and global warming through a variety of mechanisms. The objective of the current study is to...
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CoffeeWKG: A Weather Knowledge Graph for Coffee Regions in Colombia
Coffee is one of the major crops produced in Colombia which is the third largest producer of coffee after Brazil and Vietnam. Together, these three...
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Physicochemical and Microbiological Characterization of Drinking Water from the Luz de América parish, Ecuador: Statistical Approach
The present research was performed in the community of Luz de America, Santo Domingo de los Tsáchilas, Ecuador, during March-April (rainy season) and...
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ArDHO-deep RNN: autoregressive deer hunting optimization based deep recurrent neural network in investigating atmospheric and oceanic parameters
In recent decades, weather prediction results in a challenging and complex task in various disciplines. However, prediction of the atmospheric...
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Frame Spectral Energy Distribution
Environmental and climatic processes always respond slowly to white noise forcing arising in the Earth system, leading to that background noises in...
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Quantifying the Impact of Climatic Factors on Dengue Incidence Using Generalized Linear Mixed Model with Spatio-Temporal Bayesian Poisson Random Effects Approach
Dengue fever is a global life-threatening vector-borne disease which is mainly distributed by the vector Aedes Aegypti mosquito. It is known that the...
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Structure of Particle Swarm Optimization (PSO)
PSO is an evolutionary algorithm for solving the optimization problem. This chapter explains the mathematical model and structure of PSO. The PSO is...