Artificial intelligence in animal farming: A systematic literature review
J Bao, Q Xie - Journal of Cleaner Production, 2022 - Elsevier
Some scientific researches have been conducted recently based on Artificial Intelligence
(AI) to solve animal welfare and health related problems. However, no review study was …
(AI) to solve animal welfare and health related problems. However, no review study was …
Comprehensive review of deep reinforcement learning methods and applications in economics
The popularity of deep reinforcement learning (DRL) applications in economics has
increased exponentially. DRL, through a wide range of capabilities from reinforcement …
increased exponentially. DRL, through a wide range of capabilities from reinforcement …
Covid-19 outbreak prediction with machine learning
Several outbreak prediction models for COVID-19 are being used by officials around the
world to make informed decisions and enforce relevant control measures. Among the …
world to make informed decisions and enforce relevant control measures. Among the …
When smart cities get smarter via machine learning: An in-depth literature review
The manuscript represents a comeprehensive and systematic literature review on the
machine learning methods in the emerging applications of the smart cities. Application …
machine learning methods in the emerging applications of the smart cities. Application …
Selection of independent variables for crop yield prediction using artificial neural network models with remote sensing data
P Hara, M Piekutowska, G Niedbała - Land, 2021 - mdpi.com
Knowing the expected crop yield in the current growing season provides valuable
information for farmers, policy makers, and food processing plants. One of the main benefits …
information for farmers, policy makers, and food processing plants. One of the main benefits …
[HTML][HTML] Machine learning techniques for sequence-based prediction of viral–host interactions between SARS-CoV-2 and human proteins
Abstract Background COVID-19 (Coronavirus Disease-19), a disease caused by the SARS-
CoV-2 virus, has been declared as a pandemic by the World Health Organization on March …
CoV-2 virus, has been declared as a pandemic by the World Health Organization on March …
A comparative study of neural networks and ANFIS for forecasting attendance rate of soccer games
M Şahin, R Erol - Mathematical and computational applications, 2017 - mdpi.com
The main purpose of this study was to develop and apply a neural network (NN) approach
and an adaptive neuro-fuzzy inference system (ANFIS) model for forecasting the attendance …
and an adaptive neuro-fuzzy inference system (ANFIS) model for forecasting the attendance …
Artificial neural networks and adaptive neuro-fuzzy inference system in energy modeling of agricultural products
A Nabavi-Pelesaraei, S Rafiee… - Predictive modelling for …, 2021 - Elsevier
The expected yield of agricultural production is a significant factor in energy management,
because it can help us in an operation like detecting and diagnosing faults, conducting …
because it can help us in an operation like detecting and diagnosing faults, conducting …
Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) …
YJ Wong, SK Arumugasamy, CH Chung… - Environmental …, 2020 - Springer
Presence of copper within water bodies deteriorates human health and degrades natural
environment. This heavy metal in water is treated using a promising biochar derived from …
environment. This heavy metal in water is treated using a promising biochar derived from …
Comparative analysis of ANN and SVM models combined with wavelet preprocess for groundwater depth prediction
T Zhou, F Wang, Z Yang - Water, 2017 - mdpi.com
Reliable prediction of groundwater depth fluctuations has been an important component in
sustainable water resources management. In this study, a data-driven prediction model …
sustainable water resources management. In this study, a data-driven prediction model …