Survey of computational intelligence as basis to big flood management: Challenges, research directions and future work

F Fotovatikhah, M Herrera… - Engineering …, 2018 - Taylor & Francis
Flooding produces debris and waste including liquids, dead animal bodies and hazardous
materials such as hospital waste. Debris causes serious threats to people's health and can …

Technological progresses in modern sustainable greenhouses cultivation as the path towards precision agriculture

Y Achour, A Ouammi, D Zejli - Renewable and Sustainable Energy …, 2021 - Elsevier
Greenhouse technology is an opportune tool for increasing crop yields through the accurate
adjustment of internal climate growth conditions such as temperature, humidity, light …

[HTML][HTML] COVID-19 outbreak prediction with machine learning

SF Ardabili, A Mosavi, P Ghamisi, F Ferdinand… - Algorithms, 2020 - mdpi.com
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 …

A survey of deep learning techniques: application in wind and solar energy resources

S Shamshirband, T Rabczuk, KW Chau - IEEE access, 2019 - ieeexplore.ieee.org
Nowadays, learning-based modeling system is adopted to establish an accurate prediction
model for renewable energy resources. Computational Intelligence (CI) methods have …

[HTML][HTML] Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook

NB Ishola, EI Epelle, E Betiku - Energy Conversion and Management: X, 2024 - Elsevier
One of the main limitations to the economic sustainability of biodiesel production remains
the high feedstock cost. Modeling and optimization are crucial steps to determine if …

Application of ANFIS, ANN, and logistic methods in estimating biogas production from spent mushroom compost (SMC)

B Najafi, SF Ardabili - Resources, Conservation and Recycling, 2018 - Elsevier
In this study, a small-scale production of biogas was undertaken using spent mushroom
compost (SMC). The carbon to nitrogen (C/N) ratio, temperature of the reactor (T), and …

A review of autonomous agricultural vehicles (The experience of Hokkaido University)

A Roshanianfard, N Noguchi, H Okamoto… - Journal of Terramechanics, 2020 - Elsevier
Robotic farming will play an undeniably significant role in future sustainable agriculture.
Autonomous agricultural vehicles for arable crops and their components are reviewed …

Application of ANNs, ANFIS and RSM to estimating and optimizing the parameters that affect the yield and cost of biodiesel production

B Najafi, S Faizollahzadeh Ardabili… - Engineering …, 2018 - Taylor & Francis
Biodiesel can easily be used as an alternative fuel in diesel engines. It is environmentally
friendly and can be produced from low-cost feedstocks such as waste cooking oil (WCO) …

A literature review of early-stage diabetic retinopathy detection using deep learning and evolutionary computing techniques

S Bhandari, S Pathak, SA Jain - Archives of Computational Methods in …, 2023 - Springer
Soft computing approaches are contributing to various areas of real-world problems. These
techniques are being used in optimization problems, feature selection, classification as well …

[HTML][HTML] IoT and fuzzy logic integration for improved substrate environment management in mushroom cultivation

F Irwanto, U Hasan, ES Lays, NJ De La Croix… - Smart Agricultural …, 2024 - Elsevier
The current era witnesses the advent of the Internet of Things (IoT), a transformative force
giving rise to various technological innovations, most notably connected objects. This …