College of Information Science and Technology, Gansu Agricultural University, Lanzhou, China Introduction: Accurate identification of maize seed varieties is essential for enhancing crop yield and ...

AMD has delivered on its Computex 2025 promise to make PyTorch work on Windows for consumer GPUs and APUs. With the release of ROCm 6.4.4, Radeon RX 9000 (RDNA 4), RX 7000 (RDNA 3), and the new Ryzen ...

ABSTRACT: Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management. Conventional asset pricing models, such as the Fama-French three-factor ...

TITLE: Optimizing Lung Cancer Detection in CT Imaging: A Wavelet Multi-Layer Perceptron (WMLP) Approach Enhanced by Dragonfly Algorithm (DA) ...

This repository contains implementations of Convolutional KAN models with PyTorch Lightning training scripts for easy experimentation and training on various datasets including ImageNet and MNIST.

Abstract: Tunable Diode Laser Absorption Spectroscopy (TDLAS) tomography is a high-precision flow field imaging technique that reconstructs the spatial distribution of flow field parameters by ...

Anomaly detection is a typical binary classification problem under the condition of unbalanced samples, which has been widely used in various fields of data mining. For example, it can help detect ...

The sequence of amino acids within a protein dictates its structure and function. Protein engineering campaigns seek to discover protein sequences with desired functions. Data-driven models of the ...