Vehicle Make Model Recognition (VMMR) is commonly used in Intelligent Transportation Systems (ITS), free-flow image-based toll systems, and enforcement systems. These systems must analyze and process ...

On the technical front, this study highlights why generative LLMs like GPT‐4 can outperform earlier language models. BERT‐based models need to be fine‐tuned on extensive labeled data and therefore ...

A novel significant wave height prediction method for monsoon regions is proposed, utilizing the VMD-CNN-BiLSTM model to enhance prediction accuracy under complex meteorological conditions.

This article employs a CNN-LSTM-based nonlinear model predictive controller (NMPC) to effectively track the temperature profile of a BR. This model offers significant advantages in NMPC by leveraging ...

The dataset used in the experiment is the HAM-10000 dataset and the PAD-UFES-20 dataset, which consists of dermatoscopic skin lesions images. Based on the models’ accuracy, sensitivity, DCI, ...

About Comparing CNN- and Transformer-Based Deep Learning Models for Semantic Segmentation of Remote Sensing Images. Specifically looking at different configurations of U-Net and SegFormer applied to ...

Inspired by this, we propose a plain CNN-based model called SPD-CNN, which transforms the EEG signal into the SPD matrices and uses a CNN with five convolutional layers to capture the features of SPD ...