Results 181 to 190 of about 281,995 (369)

A Multi-Working States Sensor Anomaly Detection Method Using Deep Learning Algorithms. [PDF]

Sensors (Basel)
Wu D, Koskinen K, Coatanea E.
europepmc   +1 more source

Boosting Software Fault Prediction Accuracy with Ensemble Learning [PDF]

Ashu Mehta, Isha Batra, Anggun Fergina
openalex   +1 more source

Unrolling of Syngonium podophyllum: Functional Anatomy, Morphology and Modelling of Its Peltate Leaves

Advanced Biology, EarlyView.
The unrolling of the peltate leaves in Syngonium podophyllum is analyzed and quantified (left‐hand side to center). These measurements serve to verify a mathematical model for leaf unrolling based on the model used in Schmidt (2007). An additional formula for obtaining a layer mismatch from a prescribed radius is derived.
Michelle Modert, Nick Seinsche, Sören Bartels, Tom Masselter, Thomas Speck   +4 more
wiley   +1 more source

Fault classification in the architecture of virtual machine using deep learning. [PDF]

Sci Rep
Rawat A, Mishra A, Alsharif H, Alharthi RM, Gupta BB.   +4 more
europepmc   +1 more source

Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture

Advanced Engineering Materials, EarlyView.
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee, Mahdi Askari‐sedeh, Ali Zolfagharian, Mostafa Baghani   +3 more
wiley   +1 more source

Investigating the Effect of Software Metrics Aggregation on Software Fault Prediction

Proceedings of the 13th International Conference on Software Technologies, 2018
Sandeep Kumar, Deepanshu Dixit
openaire   +2 more sources

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

Advanced Engineering Materials, EarlyView.
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec, Lukáš Daněk, Jan Foltýn, Petr Svoboda, Carsten Gachot, Martin Hartl, Ivan Křupka   +6 more
wiley   +1 more source

Enhanced FPGA-based smart power grid simulation using Heun and Piecewise analytic method. [PDF]

Sci Rep
Gul U, Raza Ur Rehman HM, Gul MJ, Mezquita GM, Barrera AEP, Ashraf I.   +5 more
europepmc   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

A Real-Time Diagnostic System Using a Long Short-Term Memory Model with Signal Reshaping Technology for Ship Propellers. [PDF]

Sensors (Basel)
Shen SC, Chao CC, Huang HJ, Wang YT, Hsieh KT.   +4 more
europepmc   +1 more source