AIMC Topic: Seasons

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Analysis and forecasting of national marine litter based on coastal data in South Korea from 2009 to 2021.

Marine pollution bulletin Mar 11, 2023
In this study, statistical analysis and forecasting were performed using coastal litter data of Korea. The analysis indicated that rope and vinyl accounted for the highest proportion of coastal litter items. The statistical analysis of the national c...
Time Factors Environmental Monitoring Republic of Korea Waste Products Bathing Beaches Plastics Seasons Neural Networks, Computer Forecasting
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Prediction of cooling effect of constant temperature community bin based on BP neural network.

International journal of biometeorology Feb 7, 2023
In order to explore the influence of outdoor microclimate on the cooling effect of constant temperature community bin, the temperature prediction model was predicted. The temperature and microclimate data sets of the community bin were collected in s...
Cold Temperature Microclimate Neural Networks, Computer Temperature Seasons
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Applying Unsupervised Machine Learning Models to Identify Serve Performance Related Indicators in Women's Volleyball.

Research quarterly for exercise and sport Jan 17, 2023
In volleyball, the effect of different factors on serve performance has usually been analyzed with traditional statistical techniques such as logistic regression or discriminant analysis. In this study, two of the main models used in unsupervised ma...
Female Cluster Analysis Humans Seasons Volleyball Unsupervised Machine Learning Discriminant Analysis
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Deep Learning Based Infrared Thermal Image Analysis of Complex Pavement Defect Conditions Considering Seasonal Effect.

Sensors (Basel, Switzerland) Dec 1, 2022
Deep learning techniques underpinned by extensive data sources encompassing complex pavement features have proven effective in early pavement damage detection. With pavement features exhibiting temperature variation, inexpensive infra-red imaging tec...
Deep Learning Diagnostic Imaging Weather Seasons Algorithms
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Pattern recognition describing spatio-temporal drivers of catchment classification for water quality.

The Science of the total environment Nov 17, 2022
Classification using spatial data is foundational for hydrological modelling, particularly for ungauged areas. However, models developed from classified land use drivers deliver inconsistent water quality results for the same land uses and hinder dec...
Water Quality Seasons Artificial Intelligence Environmental Monitoring
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Days-ahead water level forecasting using artificial neural networks for watersheds.

Mathematical biosciences and engineering : MBE Oct 14, 2022
Watersheds of tropical countries having only dry and wet seasons exhibit contrasting water level behaviour compared to countries having four seasons. With the changing climate, the ability to forecast the water level in watersheds enables decision-ma...
Water Seasons Algorithms Neural Networks, Computer Forecasting
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Research on adaptive combined wind speed prediction for each season based on improved gray relational analysis.

Environmental science and pollution research international Sep 15, 2022
The stability of the power grid and the operational security of the power system depend on the precise prediction of wind speed. In consideration of the nonlinear and non-stationary characteristics of wind speed in different seasons, this paper emplo...
Machine Learning Forecasting Wind Computer Simulation Seasons
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Water demand in watershed forecasting using a hybrid model based on autoregressive moving average and deep neural networks.

Environmental science and pollution research international Sep 14, 2022
Increasing water demand is exacerbating water shortages in water-scarce regions (such as India, China, and Iran). Effective water demand forecasting is essential for the sustainable management of water supply systems in watersheds. To alleviate the c...
Water Agriculture Seasons Water Supply Forecasting China Neural Networks, Computer
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An Artificial Neural Network-Based Approach to Optimizing Energy Efficiency in Residential Buildings in Hot Summer and Cold Winter Regions.

Computational intelligence and neuroscience Aug 25, 2022
Resource depletion and ecological crisis have prompted human beings to reflect on the behavior patterns based on industrial civilization so as to seek ways of sustainable development of human society, economy, technology, and environment. The energy ...
Seasons Conservation of Energy Resources Neural Networks, Computer Algorithms Humans
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Temperature Prediction of Seasonal Frozen Subgrades Based on CEEMDAN-LSTM Hybrid Model.

Sensors (Basel, Switzerland) Aug 1, 2022
Improving the temperature prediction accuracy for subgrades in seasonally frozen regions will greatly help improve the understanding of subgrades' thermal states. Due to the nonlinearity and non-stationarity of the temperature time series of subgrade...
Seasons Temperature Neural Networks, Computer Forecasting
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