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 …
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 …
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …
Biological perspectives in geotechnics: theoretical developments
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 …
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
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 …
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 …
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
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 …
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 …
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 …
worldwide. Vaccines were eventually discovered, effectively preventing the severe …
Using artificial intelligence to predict students' academic performance in blended learning
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 …
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
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 …
account of electrical equipment is an important aspect because it highly compromises the …