IEEE

Automatic Modulation Recognition Using Modified Convolutional Neural Network

Abstract: With the development of Deep Learning as a potent method for separating high-level representations from complex data, numerous fields have seen substantial progress. A crucial task in ...
IEEE

LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG

Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
C&EN

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
GitHub

debasishsarangi88/TSAI_ERA_V4_Session4_NN

A comprehensive neural network project built with PyTorch and managed with UV for fast Python package management. neural-network-project/ ├── src/ │ ├── models/ # Neural network model definitions │ │ ...
GitHub

NeuralBot - Neural Network Aimbot

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...
C&EN

Molecular Simulations with a Pretrained Neural Network and Universal Pairwise Force Fields

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Machine Learning Force Fields (MLFFs) promise to enable general molecular simulations ...