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 …

Review and empirical analysis of sparrow search algorithm

Y Yue, L Cao, D Lu, Z Hu, M Xu, S Wang, B Li… - Artificial Intelligence …, 2023 - Springer
In recent years, swarm intelligence algorithms have received extensive attention and
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …

Biological perspectives in geotechnics: theoretical developments

S Jain, PN Mishra, S Tiwari, Y Wang, N Jiang… - … Science and Bio …, 2023 - Springer
The interaction of bio–geosphere dates to the formation of first unicellular microbes on earth.
However, it is only relatively recently that the complex biological interactions are observed …

Performance of a novel chaotic firefly algorithm with enhanced exploration for tackling global optimization problems: Application for dropout regularization

N Bacanin, R Stoean, M Zivkovic, A Petrovic… - Mathematics, 2021 - mdpi.com
Swarm intelligence techniques have been created to respond to theoretical and practical
global optimization problems. This paper puts forward an enhanced version of the firefly …

[HTML][HTML] Komodo mlipir algorithm

S Suyanto, AA Ariyanto, AF Ariyanto - Applied Soft Computing, 2022 - Elsevier
Abstract This paper proposes Komodo Mlipir Algorithm (KMA) as a new metaheuristic
optimizer. It is inspired by two phenomena: the behavior of Komodo dragons living in the …

Mocraw: A meta-heuristic optimized cluster head selection based routing algorithm for wsns

S Chaurasia, K Kumar, N Kumar - Ad Hoc Networks, 2023 - Elsevier
Abstract In Wireless Sensor Networks (WSNs), sensors are deployed in a specific region to
sense the environment's physical parameters. After sensing, data is processed and sent to …

[HTML][HTML] Codon-mRNA prediction using deep optimal neurocomputing technique (DLSTM-DSN-WOA) and multivariate analysis

ZA Kadhuim, S Al-Janabi - Results in Engineering, 2023 - Elsevier
Based on the principle that the upgrading of any nation begins by raising the level of
performance of its institutions that serve the community, including the Ministry of Healthcare …

Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers

K Chadaga, S Prabhu, N Sampathila, R Chadaga… - Scientific Reports, 2024 - nature.com
The COVID-19 influenza emerged and proved to be fatal, causing millions of deaths
worldwide. Vaccines were eventually discovered, effectively preventing the severe …

Using artificial intelligence to predict students' academic performance in blended learning

NN Hamadneh, S Atawneh, WA Khan, KA Almejalli… - Sustainability, 2022 - mdpi.com
University electronic learning (e-learning) has witnessed phenomenal growth, especially in
2020, due to the COVID-19 pandemic. This type of education is significant because it …

Firefly optimization heuristics for sustainable estimation in power system harmonics

NA Malik, NI Chaudhary, MAZ Raja - Sustainability, 2023 - mdpi.com
The sustainable power development requires the study of power quality while taking into
account of electrical equipment is an important aspect because it highly compromises the …