We are planning an Award Ceremony of MagNet Challenge 2 in APEC 2026. Please send an email to pelsmagnet@gmail.com with the following information: Name of your team? XXX Are you on track to submit ...

Materials of the paper F. Wilhelmi, S. Szott, K. Kosek-Szott and B. Bellalta, "Machine Learning and Wi-Fi: Unveiling the Path Toward AI/ML-Native IEEE 802.11 Networks ...

1 Bouaké Regional Office, National Centre for Agricultural Research (CNRA), Bouaké, Côte d’Ivoire. 2 Laboratory of Food Biochemistry and Processing of Tropical Products, Nangui Abrogoua University, ...

It is hard to imagine anything more fascinating than automated systems that improve their own performance. The study of learning from data is commercially and scientifically important. This course is ...

Networks of spatially distributed radiofrequency identification sensors could be used to collect data in wearable or implantable biomedical applications. However, the development of scalable networks ...

In the New Engineering Education background, there are problems in the training of automation-related majors innovative talents. Based on the practice-driven innovation concept of automation ...

Cardiovascular diseases (CVDs) are a leading cause of death worldwide, with hypertension emerging as a significant risk factor. Early detection and treatment of hypertension can significantly reduce ...

Across sensory systems, complex spatio-temporal patterns of neural activity arise following the onset (ON) and offset (OFF) of stimuli. While ON responses have been widely studied, the mechanisms ...

Federated learning (FL) is an emerging paradigm that enables multiple devices to collaborate in training machine learning (ML) models without having to share their possibly private data. FL requires a ...

The ability to accurately predict speech improvement for young children who use cochlear implants (CIs) would be a first step in the development of a personalized therapy to enhance language ...