AlphaGalileo

Interpretability in deep learning for finance: A case study for the Heston model

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
Scientific Research Publishing

AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines ()

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
MarketersMEDIA Newsroom

Chongwei Shi Advances Biostatistical Methods and Computational Biology Through Deep Learning and Statistical Shape Analysis

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
eLife

Predicting human decision-making across task conditions via individuality transfer

Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of ...
Scientific Research Publishing

Geo-Refined Point Transformer: Coordinate-Aware Excitation and Positional Upsampling for 3D Scene Segmentation ()

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
IEEE

Evaluating Convolution Neural Network Architecture for Neural Drive Decoding from High-Density Surface Electromyography

Abstract: Prior studies demonstrated encouraging results in the application of convolution neural network models (CNN), one-dimensional (1D CNN), or three-dimensional (3D CNN) convolutional layers to ...
Network World

Arista rides AI wave, but battle for campus networks looms

Arista has outmaneuvered competitors while focused on high-performance data center and cloud networks. But as it eyes a greater role in enterprise campus and branch infrastructure, it needs to ...
IEEE

Optimized Attention Induced Multi Head Convolutional Neural Network for Intrusion Detection Systems in Vehicular Ad Hoc Networks

Abstract: Vehicular Ad Hoc Networks (VANETs) is enhancing comfort and traffic control and have brought about a paradigm shift in the design of contemporary transportation systems. However, as smart ...