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: Detection transformer (DETR) has emerged as a highly promising approach in object detection (OD) and has attracted significant interest. However, most DETR-like methods cannot simultaneously ...

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: In the field of multisource remote sensing image classification, remarkable progress has been made by using the convolutional neural network (CNN) and Transformer. While CNNs are constrained ...

Abstract: Hyperspectral image (HSI) classification has been extensively studied in the context of Earth observation. However, its application in Mars exploration remains limited. Although ...

Abstract: Despite the transformative potential of generative artificial intelligence (AI) systems within enterprise digital platforms, there still exist gaps in understanding the challenges and ...

Impact Statement: Understanding the full potentials and limitations of generative AI and LLMs shapes the future of NLP and its impact on various industries and societies. This article explores the ...

Abstract: Mathematical optimization is now widely regarded as an indispensable modeling and solution tool for the design of wireless communications systems. While optimization has played a significant ...

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: The accurate lifetime prediction of lithium-ion batteries (LIBs) is essential to the normal and effective operation of electric devices. However, such estimation faces huge challenges due to ...

Abstract: As generative artificial intelligence (GAl) models continue to evolve, their generative capabilities are increasingly enhanced, and being used exten-sively in content generation. Furthermore ...

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), ...