In order to make those low-resolution images to be useful for blinds, image processing is one of the major challenges in bionic eye development. According to real-life applications, RGB-D images can ...

Abstract: In response to the suboptimal detection efficiency and reduced accuracy of conventional defect detection algorithms applied to steel surface inspection, this research introduces a novel ...

The core aspect prior to software defect prediction is software metrics. More research of process metrics existed and rapidly developed as the fact that process metrics can outperform code metrics.

4️⃣ Photo controversy: “Napalm Girl” is considered one of the most defining images of the 20th century, and it became a symbol of opposition to the Vietnam War. But there are lingering ...

This research paper delves into the application of deep CNNs for human emotion detection. Leveraging datasets rich in annotated facial expressions, our study explores the architecture and training ...

When analyzing images, for bone cancer detection CNN s selective capabilities are utilized to achieve efficient results. The first step involves applying techniques such, as augmentation and ...

Using stock data as a case study, the research employs ARIMA as a baseline model and a hybrid CNN-LSTM model to evaluate the influence of sentiment analysis on prediction accuracy. The findings reveal ...

This collection process was ... paper proposes a Mask R-CNN-based algorithm for rural road pavement defect detection. The novelty of this approach lies in the integration of Mask R-CNN with data ...

Abstract: Hyperspectral images (HSIs) contain a wealth of information and have important applications in the fields of military, agriculture, medicine and et al. The excellent local feature ...

This research automates image processing in order to forecast PV power output using a CNN. Dataset cleaning and Pearson coefficient correlation testing were part of the preprocessing to eliminate ...