AIMC Topic: Seasons

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Application of artificial neural networks for predicting the physical composition of municipal solid waste: An assessment of the impact of seasonal variation.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Feb 18, 2021
Sustainable planning of waste management is contingent on reliable data on waste characteristics and their variation across the seasons owing to the consequential environmental impact of such variation. Traditional waste characterization techniques i...
Artificial Intelligence Neural Networks, Computer South Africa Seasons Solid Waste
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Forecasting hand-foot-and-mouth disease cases using wavelet-based SARIMA-NNAR hybrid model.

PloS one Feb 5, 2021
BACKGROUND: Hand-foot-and-mouth disease_(HFMD) is one of the most typical diseases in children that is associated with high morbidity. Reliable forecasting is crucial for prevention and control. Recently, hybrid models have become popular, and wavele...
Seasons Nonlinear Dynamics Wavelet Analysis Child Models, Statistical Morbidity Hand, Foot and Mouth Disease Humans Neural Networks, Computer Forecasting Databases, Factual China Incidence
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Understanding global changes in fine-mode aerosols during 2008-2017 using statistical methods and deep learning approach.

Environment international Jan 29, 2021
Despite their extremely small size, fine-mode aerosols have significant impacts on the environment, climate, and human health. However, current understandings of global changes in fine-mode aerosols are limited. In this study, we employed newly devel...
China India Environmental Monitoring Humans Deep Learning Seasons Aerosols Mexico Australia Air Pollutants
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An efficient method for building a database of diatom populations for drowning site inference using a deep learning algorithm.

International journal of legal medicine Jan 3, 2021
Seasonal or monthly databases of the diatom populations in specific bodies of water are needed to infer the drowning site of a drowned body. However, existing diatom testing methods are laborious, time-consuming, and costly and usually require specif...
Rivers Artificial Intelligence Models, Animal Databases, Factual Diatoms Sensitivity and Specificity Rats Forensic Pathology Animals Neural Networks, Computer Rats, Sprague-Dawley Drowning Seasons Lung China
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Relationship between training load and recovery in collegiate American football players during pre-season training.

Science & medicine in football Dec 22, 2020
: The purpose of this study was to examine the relationship between training load and next-day recovery in collegiate American football (AF) players during pre-season.: Seventeen athletes (Linemen, n = 6; Non-linemen, n = 11) participated in the 14-d...
Heart Rate Humans Football Universities Athletes Seasons
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Time series prediction of under-five mortality rates for Nigeria: comparative analysis of artificial neural networks, Holt-Winters exponential smoothing and autoregressive integrated moving average models.

BMC medical research methodology Dec 3, 2020
BACKGROUND: Accurate forecasting model for under-five mortality rate (U5MR) is essential for policy actions and planning. While studies have used traditional time series modeling techniques (e.g., autoregressive integrated moving average (ARIMA) and ...
Models, Statistical Regression Analysis Seasons Forecasting Nigeria Incidence Humans Neural Networks, Computer
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Analysis of Copernicus' ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction.

Sensors (Basel, Switzerland) Nov 9, 2020
Knowledge of phenological events and their variability can help to determine final yield, plan management approach, tackle climate change, and model crop development. THe timing of phenological stages and phases is known to be highly correlated with ...
Weather Seasons Olea Climate Change Machine Learning Temperature Italy
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[Seasonal variations in 25-hydroxy vitamin D3, parathormone and alkaline phosphatase in school-aged children].

Revista chilena de pediatria Nov 5, 2020
INTRODUCTION: The main role of Vitamin D is to regulate calcium metabolism, whose main source is vitamin D3 ob tained mostly from the action of ultraviolet (UV) light on the skin.
Alkaline Phosphatase Parathyroid Hormone Humans Seasons Male Chile Female Child, Preschool Cross-Sectional Studies Calcifediol Child Calcium
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Using machine learning to understand the implications of meteorological conditions for fish kills.

Scientific reports Oct 12, 2020
Fish kills, often caused by low levels of dissolved oxygen (DO), involve with complex interactions and dynamics in the environment. In many places the precise cause of massive fish kills remains uncertain due to a lack of continuous water quality mon...
Ecosystem Water Environmental Monitoring Oxygen Seasons Fishes Humans Machine Learning Animals Rivers Air Pressure Meteorological Concepts
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Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning.

Sensors (Basel, Switzerland) Sep 16, 2020
Potato is the largest non-cereal food crop in the world. Timely estimation of end-of-season tuber production using in-season information can inform sustainable agricultural management decisions that increase productivity while reducing impacts on the...
Least-Squares Analysis Solanum tuberosum Aircraft Spectrum Analysis Seasons Plant Tubers Machine Learning Agriculture Remote Sensing Technology
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