The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

A research team led by Prof. Xie Pinhua from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has ...

In today's fast-paced technological landscape, innovation in agriculture has become more than a necessity—it's an imperative ...

AI-driven models, particularly those based on machine learning (ML) and deep learning (DL), such as Long Short-Term Memory ...

Biometric fraud like voice spoofing and audio deepfakes are part of broader social engineering attacks by scammers and ...

The hybrid CNN-LSTM model significantly improves SER accuracy and robustness, particularly in noisy environments. Data augmentation techniques further enhance generalization. Future work includes ...

This research presents a novel hybrid model of convolutional neural network (CNN) and long short-term memory (LSTM) for Arabic handwritten character recognition (AHCR) to present AT for VIP. This ...

Given the complex and nonlinear nature of exchange rates, a hybrid model integrating sentiment analysis is introduced in the present study. It utilizes Weibo text data to extract emotional features, ...

Please cite the paper if you use the code. If you have any questions, please post them in the Discussions Section. The code requires Python 3.11. TensorFlow currently ...