Abstract: Throughout the current study, an improved laser detection approach that uses wavelet analysis is provided. It addresses issues including the poor aesthetic impact of laser imaging beneath ...
Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...
Abstract: Drowsy driving being one of the most significant risks to road safety, results in numerous fatal road mishaps across the globe. Casualties and mental trauma haunt the affected individuals ...
Abstract: In this study, we explore the application of attention mechanisms to enhance deep learning models in the context of image classification. We assess several types of attention mechanisms ...
Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...
Abstract: The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective ...
Abstract: Low-light image augmentation, which seeks to improve image visibility and quality under low illumination, is an important job in computer vision. We investigate underexposure image ...
Abstract: Electroencephalogram (EEG) has been widely employed in emotion recognition, seizure detection, and brain-computer interface applications. This article presents an elaborated RISC-V-based EEG ...
President Donald Trump has introduced a “Presidential Walk of Fame” along a noticeable walkway outside the West Wing of the White House. “The Presidential Walk of Fame has arrived on the West Wing ...
Learn how to use Perplexity AI for image generation and share results directly on WhatsApp. See prompts, pros, and best practices. Artificial Intelligence is slowly becoming a huge part of our lives.
Abstract: Hyperspectral image (HSI) classification faces significant challenges due to high-dimensional spectral redundancy and complex spatial-spectral dependencies. While existing MambaHSI models ...
Abstract: This study proposes an image-text multimodal classification algorithm based on a combination of convolutional neural networks (CNN) and Transformer, aiming to solve the key problems in ...