Big data analytics in weather forecasting: A systematic review

M Fathi, M Haghi Kashani, SM Jameii… - … Methods in Engineering, 2022 - Springer
Weather forecasting, as an important and indispensable procedure in people's daily lives,
evaluates the alteration happening in the current condition of the atmosphere. Big data …

Machine-learning-based predictions of imprinting quality using ensemble and non-linear regression algorithms

B Yarahmadi, SM Hashemianzadeh… - Scientific Reports, 2023 - nature.com
The molecularly imprinted polymers are artificial polymers that, during the synthesis, create
specific sites for a definite purpose. These polymers due to their characteristics such as …

[HTML][HTML] How many modes are needed to predict climate bifurcations? Lessons from an experiment

B Dubrulle, F Daviaud, D Faranda… - Nonlinear Processes …, 2022 - npg.copernicus.org
According to everyone's experience, predicting the weather reliably over more than 8 d
seems an impossible task for our best weather agencies. At the same time, politicians and …

Selection of the right undergraduate major by students using supervised learning techniques

AO Alsayed, MSM Rahim, I AlBidewi, M Hussain… - Applied Sciences, 2021 - mdpi.com
University education has become an integral and basic part of most people preparing for
working life. However, placement of students into the appropriate university, college, or …

Design of an atc tool for conflict detection based on machine learning techniques

JA Pérez-Castán, L Pérez-Sanz, L Serrano-Mira… - Aerospace, 2022 - mdpi.com
Given the ongoing interest in the application of Machine Learning (ML) techniques, the
development of new Air Traffic Control (ATC) tools is paramount for the improvement of the …

Artificial intelligence and the metaverse: Present and future aspects

SS Thakur, S Bandyopadhyay, D Datta - The Future of Metaverse in the …, 2023 - Springer
Artificial Intelligence (AI) and the metaverse are some of the most prominent technologies of
the twenty-first century. Each can enhance people's lives in many ways, improve many …

NSGA-2 optimized fuzzy inference system for crop plantation correctness index identification

R Priya, D Ramesh… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Advanced technology in agriculture can help to know about suitable environmental
conditions, soil health status, water and fertilizer requirements, and crop monitoring at every …

Metaverse and its impact on climate change

Palak, Sangeeta, P Gulia, NS Gill… - The Future of Metaverse in …, 2023 - Springer
A novel idea called the metaverse combines various technologies to offer a lifelike
experience in a virtual setting. To realize its full potential, the idea must still be refined …

Learning assurance analysis for further certification process of machine learning techniques: case-study air traffic conflict detection predictor

JA Pérez-Castán, L Pérez Sanz… - Sensors, 2022 - mdpi.com
Designing and developing artificial intelligence (AI)-based systems that can be trusted
justifiably is one of the main issues aviation must face in the coming years. European Union …

Developing an ensembled machine learning prediction model for marine fish and aquaculture production

LF Rahman, M Marufuzzaman, L Alam, MA Bari… - Sustainability, 2021 - mdpi.com
The fishing industry is identified as a strategic sector to raise domestic protein production
and supply in Malaysia. Global changes in climatic variables have impacted and continue to …