With the blooming of AI and machine-learning-based data-hungry applications and services, managing personal data and ensuring data privacy and…

This SPS webinar will introduce a novel data-driven cooperative localization and location data processing framework, called FedLoc, in line with the…

Audio pattern recognition is an important research topic in the machine learning area, and includes several tasks such as audio tagging, acoustic…

Recently, deep convolutional neural network (CNNs) have been widely used in Single Image Super-Resolution (SISR) and have obtained great success…

In the beginning of 2020, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in over 200 countries, affecting billions of humans…

The Audio Engineering Society (AES), the IEEE Consumer Technology Society (CTSoc), and the IEEE Signal Processing Society (SPS) cordially invite you…

The Audio Engineering Society (AES), the IEEE Consumer Technology Society (CTSoc), and the IEEE Signal Processing Society (SPS) cordially invite you…

The Principal Component Analysis (PCA) is considered to be a quintessential data preprocessing tool in many machine learning applications. But the…

The Principal Component Analysis (PCA) is considered to be a quintessential data preprocessing tool in many machine learning applications. But the…

In past decades, conventional communication primarily focused on how to accurately and effectively transmit symbols, which is categorized as the…