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 ...
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 ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
IEEE

AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction

Abstract: Air pollution is a vital environmental and public health issue responsible for millions of early deaths worldwide every year. Predicting air quality and associated health impacts is crucial ...
The New York Times

Vigilante Lawyers Expose the Rising Tide of A.I. Slop in Court Filings

More lawyers are using artificial intelligence to write legal briefs. Some colleagues are publicizing the A.I.-generated errors. By Evan Gorelick Earlier this year, a lawyer filed a motion in a Texas ...
Frontiers

Physics-inspired time-frequency feature extraction and lightweight neural network for power quality disturbance classification

1 Chongqing University-University of Cincinnati Joint Co-op Institute, Chongqing University, Chongqing, China 2 College of Computer Science, Sichuan University, Chengdu, Sichuan, China This study ...
IEEE

An Improved Backbone Fusion Neural Network for Orchard Extraction

Abstract: The monitoring and extraction of orchard planting information is of significant importance. Semantic segmentation deep learning models utilizing convolutional neural networks (CNNs) or ...
Frontiers

Comparative analysis of convolutional neural networks and traditional machine learning models for IVF live birth prediction: a retrospective analysis of 48514 IVF cycles and an ...

Reproductive Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China Objective: To evaluate the predictive performance of a convolutional neural network for analyzing ...
GitHub

emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation feedback

4.1 第一段中有错误。The feature extractor ℱ is a 7-layer 1-D convolutional neural network with kernel sizes (5,2,2,2,2,2,2) and strides (10,3,3,3,3,2,2),实际上应该为The feature extractor ℱ is a 7-layer 1-D ...