Deep residual network enhanced with multilevel residual-of-residual for automatic classification of radio signals for 5G and beyond systems. [PDF]
Jabeur R, Alaerjan A, Chikha HB.
europepmc +1 more source
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Identification and classification of repeated whistle types from free-ranging rough-toothed dolphins (Steno bredanensis). [PDF]
Redaelli L +9 more
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Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Communication Signal Modulation Recognition Method Based on Multi-Feature Multi-Channel ResNet and BiLSTM Neural Network. [PDF]
Li X, Geng X, Xu Y, Cao F.
europepmc +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Automatic Modulation Recognition for Radio Mixed Proximity Sensor Signals Based on a Time-Frequency Image Enhancement Network. [PDF]
Zhang J +5 more
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Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
A Multimodal fNIRS-EEG Dataset for Unilateral Limb Motor Imagery. [PDF]
Feng L +9 more
europepmc +1 more source
Flow 2.0: A Standardized Toolbox for Real-Time Phase-Contrast MRI of Neurofluid Dynamics. [PDF]
Liu P, Balédent O.
europepmc +1 more source

