Results 61 to 70 of about 4,805,610 (298)
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Endoscopy Image Retrieval by Mixer Multi-Layer Perceptron [PDF]
Quoc-Huy Trinh, Minh-Van Nguyen
doaj +1 more source
This work proposes a semi-supervised classification approach for discriminating high-impedance (HI) faults and other transients in a photovoltaic (PV) interconnected microgrid (MG) network.
Arangarajan Vinayagam +7 more
doaj +1 more source
Evaluation of machine learning classifiers in keratoconus detection from orbscan II examinations
PURPOSE: To evaluate the performance of support vector machine, multi-layer perceptron and radial basis function neural network as auxiliary tools to identify keratoconus from Orbscan II maps.
Murilo Barreto Souza +4 more
doaj +1 more source
Example of a multi-layer perceptron network (MLP) containing two hidden layers.
Example of a multi-layer perceptron network (MLP) containing two hidden layers.
Juan C. Pichel (2793601) +4 more
core +1 more source
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source
Supervised classification of languages used by Moroccans in social networks
On social networks, such as Facebook, users's comments cover several languages, thus, knowing the language of a comment could be very valuable for any further processing.
otman Moussaoui +2 more
doaj +4 more sources
Attentive Multi-Layer Perceptron for Non-autoregressive Generation
Autoregressive~(AR) generation almost dominates sequence generation for its efficacy. Recently, non-autoregressive~(NAR) generation gains increasing popularity for its efficiency and growing efficacy. However, its efficiency is still bottlenecked by quadratic complexity in sequence lengths, which is prohibitive for scaling to long sequence generation ...
Shuyang Jiang +4 more
openaire +4 more sources
RMSEs and computation time at different cases with multi-layer perceptron.
RMSEs and computation time at different cases with multi-layer perceptron.
Yehong Dong (14492833) +7 more
core +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source

