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23311 - 23320 von 23568

	23311	Using a long short-term memory neural network model to forecast mangrove change in two blue forests conservation projects Enthalten in Discover forests Bd. 1, 10.6.2025, Nr. 1, date:12.2025: 1-15
	23312	Using a network governance framework to assess the wood energy industry in times of catastrophic wildfire in Northern California Enthalten in Regional environmental change Bd. 21, 14.5.2021, Nr. 2, date:6.2021: 1-12
	23313	Using a neural network approach and time series data from an international monitoring station in the Yellow Sea for modeling marine ecosystems Enthalten in Environmental monitoring and assessment Bd. 186, 21.9.2013, Nr. 1, date:1.2014: 515-524
	23314	Using a Neural Network to Separate Lungs in X-Ray Images Enthalten in Bulletin of the Russian Academy of Sciences / Physics Bd. 83, 31.1.2020, Nr. 12, date:12.2019: 1494-1497
	23315	Using a snow ablation optimizer in an autonomous echo state network for the model-free prediction of chaotic systems Enthalten in Nonlinear dynamics Bd. 112, 16.5.2024, Nr. 13, date:7.2024: 11483-11500
	23316	Using adaptive psychophysics to identify the neural network reset time in subsecond interval timing Enthalten in Experimental brain research Bd. 239, 28.9.2021, Nr. 12, date:12.2021: 3565-3572
	23317	Using advanced distributed energy efficient clustering increasing the network lifetime in wireless sensor networks Enthalten in Soft computing Bd. 27, 5.3.2023, Nr. 20, date:10.2023: 15269-15280
	23318	Using ambient intelligence to extend network lifetime in wireless sensor networks Enthalten in Journal of ambient intelligence and humanized computing Bd. 7, 30.9.2015, Nr. 6, date:12.2016: 777-788
	23319	Using an Artificial Neural Network in a DC Motor Electromechanical Speed-Control System Enthalten in Russian electrical engineering Bd. 95, 2.3.2025, Nr. 11, date:11.2024: 903-908
	23320	Using an Artificial Neural Network Model to Predict Groundwater Quality in the Southern Region of Jabalpur City Enthalten in Water, air & soil pollution Bd. 234, 2.11.2023, Nr. 11, date:11.2023: 1-14

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