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Machine learning modeling of thermally assisted biodrying process for municipal sludge
K Zhang, N Wang - Waste Management, 2024 - Elsevier
Preparation of activated carbons is an important way to utilize municipal sludge (MS)
resources, while drying is a pretreatment method for making activated carbons from MS. In …
resources, while drying is a pretreatment method for making activated carbons from MS. In …
Fractional-order transfer Q-learning based on modal decomposition and convolutional neural networks for voltage control of smart grids
L Yin, N Mo - Advanced Engineering Informatics, 2024 - Elsevier
Extensive distributed energy connected to smart grids (SGs) poses a huge challenge to the
voltage regulation of power systems. Conventional automatic voltage control (AVC) …
voltage regulation of power systems. Conventional automatic voltage control (AVC) …
Welding strength prediction in nuts to sheets joints: machine learning and ANFIS comparative analysis
This study uses machine learning algorithms and the Adaptive Neuro-Fuzzy Inference
System (ANFIS) to predict welding strength in DD13 sheet metal joints with AISI 1010 nuts …
System (ANFIS) to predict welding strength in DD13 sheet metal joints with AISI 1010 nuts …
Mechanical degradations of Fe–C alloys induced by stress corrosion in supercritical CO2 environments: a study based on molecular dynamics simulation and …
H Cao, Z ** of Strategic Operating Conditions for End Milling Super-Transus Heat-Treated Ti1023 Alloy Using Multi-Objective Optimization
The study addresses the machinability of heat-treated Ti1023 titanium alloy and maps
strategic operating conditions for reduced cutting forces, improved surface roughness, and …
strategic operating conditions for reduced cutting forces, improved surface roughness, and …
Overcut Optimization in Machining of DIN 1.2767 Tool Steel with Electro Erosion Technique
A Fatatit, A Kalyon - Duzce University Journal of Science and …, 2025 - dergipark.org.tr
Electro discharge machining is an energy based method that can cause fast electrode wear
and dimensional errors. This study aimed to identify the optimum process parameters for …
and dimensional errors. This study aimed to identify the optimum process parameters for …