Nestability a deep learning oracle for nesting scrap prediction in manufacturing industry – Artofit

Image gallery for: Nestability a deep learning oracle for nesting scrap prediction in manufacturing industry

Nestability: A deep learning oracle for nesting scrap prediction in manufacturing industry

In the quest for sustainable manufacturing, a critical yet often overlooked aspect is predicting the scrap in nesting-based manufacturing. This aspect…
Advertisement
Dear-DIAXMBD: Deep Autoencoder Enables Deconvolution of Data-Independent Acquisition Proteomics

AI - Applications
Data Governance and Observability, Explained

Tech Events and conferences
Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects

AI - Applications
Sparse-firing regularization methods for spiking neural networks with time-to-first-spike coding - Scientific Reports

AI - Applications
Advertisement
A new approach for software fault prediction using feature selection

AI - Applications
Hybrid convolution neural network with channel attention mechanism for sensor-based human activity recognition - Scientific Reports

AI - Techniques
Bodily expressed emotion understanding through integrating Laban movement analysis

AI - Applications
Gender identification of the horsehair crab, Erimacrus isenbeckii (Brandt, 1848), by image recognition with a deep neural network - Scientific Reports

AI - Applications
AI-powered sorting and grading solutions: A revolution for food processors and packhouses | Produce News

AI - Applications
Modeling based on machine learning to investigate flue gas desulfurization performance by calcium silicate absorbent in a sand bed reactor - Scientific Reports

AI - Applications
Prediction of lithium-ion battery SOC based on the fusion of MHA and ConvolGRU - Scientific Reports

AI - Applications
Advertisement
Advertisement
Advertisement
Levenberg–Marquardt backpropagation neural networking (LMB-NN) analysis of hydrodynamic forces in fluid flow over multiple cylinders

AI - Applications