Results 191 to 200 of about 8,737 (230)
Deep Learning for Content-Based Medical Image Retrieval in Picture Archiving and Communication Systems for Brain Tumor Detection: Algorithm Development and Validation. [PDF]
JMIR Med InformLee CL +5 more
europepmc +1 more source
Human-AI Cooperation in Healthcare and Rehabilitation. [PDF]
Dela J Public HealthBrockmeier A +9 more
europepmc +1 more source
Blind Source Separation for ALOHA Massive Machine Type Communications
2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring)This paper studies the use of Blind Source Separation (BSS) as a replacement for Coded Random Access in diversity ALOHA massive machine-type communications. We propose a scheme for efficiently implementing BSS within the ALOHA framework, while also determining the number of active users in each slot.
Michele Godeas +2 more
openaire +3 more sources
RACH performance in massive machine-type communications access scenario
2018 IEEE Wireless Communications and Networking Conference (WCNC), 2018 With the increasing number of devices performing Machine-Type Communications (MTC), mobile networks are expected to encounter a high load of burst transmissions. One bottleneck in such cases is the Random Access Channel (RACH) procedure, which is responsible for the attachment of devices, among other things. In this paper, we performed a rich-parameter
Nibia Souza Bezerra +4 more
openaire +2 more sources
Repetition with Learning Approaches in Massive Machine Type Communications
Electronics (Switzerland), 2022 In the 5G massive machine type communication (mMTC) scenario, user equipment with poor signal quality requires numerous repetitions to compensate for the additional signal attenuation.
Li-Sheng Chen +2 more
exaly +2 more sources