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[HTML][HTML] An overview of product performance prediction using artificial algorithms
A Taherihajivand, K Shirini… - Agricultural …, 2024 - jam.tabrizu.ac.ir
IntroductionArtificial intelligence (AI) plays an essential role in enhancing productivity,
reducing costs, and improving service delivery across various sectors, especially in …
reducing costs, and improving service delivery across various sectors, especially in …
Opposition-based learning Harris hawks optimization with steepest convergence for engineering design problems
Y Zhao, H Liu - The Journal of Supercomputing, 2025 - Springer
Harris hawks optimization (HHO) is a swarm intelligent algorithm that mimics the collective
hunting strategy of Harris hawks. Although it has specific advantages over other algorithms …
hunting strategy of Harris hawks. Although it has specific advantages over other algorithms …
Deep learning aided power quality disturbance detection with improved time–frequency resolution employing adaptive superlet transform
Accurate identification of power quality disturbances is important for reliable operation of
power system network as it may lead to unwanted and premature failure of power system …
power system network as it may lead to unwanted and premature failure of power system …
Impact of learning rate and epochs on lstm model performance: a study of chlorophyll-a concentrations in the Marmara Sea
Abstract The Marmara Sea, a vital link between the Mediterranean and Black Seas, plays a
significant role in the global carbon cycle and is heavily impacted by human activities that …
significant role in the global carbon cycle and is heavily impacted by human activities that …
[CITÁCIA][C] Network traffic analysis with machine learning for faster detection of distributed denial of service attack
M Zahiri, K Shirini… - Journal of Advanced …, 2024 - Imam Hussein University