Abstract: In this issue, “Best of the Web” presents the modified National Institute of Standards and Technology (MNIST) resources, consisting of a collection of handwritten digit images used ...

Abstract: Generative artificial intelligence can make powerful artifacts when used at scale, but developing trust in these artifacts and controlling their creation are essential for user adoption.

Abstract: Safe flight in dynamic environments requires unmanned aerial vehicles (UAVs) to make effective decisions when navigating cluttered spaces with moving obstacles. Traditional approaches often ...

Abstract: Underwater images encounter a range of quality degradation issues caused by the differential scattering and absorption of light in water. To address these challenges, we introduce a WFAC ...

Abstract: Industrial time series prediction (ITSP) is critical to the predictive maintenance system of modern industry. However, time-varying conditions and complex industrial processes cause the ...

Abstract: The advent of modern communication systems has led to the widespread application of deep learning-based automatic modulation recognition (DL-AMR) in wireless communications. However, ...

Abstract: What will Wi-Fi 8 be? Driven by the strict requirements of emerging applications, next-generation Wi-Fi is set to prioritize ultra high reliability (UHR) above all. In this article, we ...

Abstract: Mobile applications have become a necessity in people’s daily lives, and more are being developed at this time. To increase the efficiency in developing mobile apps, cross-platform mobile ...

Abstract: Cluster analysis plays an indispensable role in machine learning and data mining. Learning a good data representation is crucial for clustering algorithms. Recently, deep clustering (DC), ...

Abstract: Recently, significant object detection achievements have emerged for optical remote sensing images. However, the performance and efficiency of small object detection are still highly ...

Abstract: The availability of unprecedented unsupervised training data, along with neural scaling laws, has resulted in an unprecedented surge in model size and compute requirements for ...

Abstract: The upcoming 6G Non-Terrestrial Networks (NTN) technology is expected to enable comprehensive connectivity of the Internet of Things (IoT) across various environments. The presence of a ...