From the 1 of 11 papers with an AI index.
- Tampere University of Applied SciencesFI4 papers
- University of JyväskyläFI2 papers
- Aalto UniversityFI1 paper
- Chalmers University of TechnologySE1 paper
- Institute for Advanced Studies in Basic SciencesIR1 paper
- Mid Sweden UniversitySE1 paper
- South China University of TechnologyCN1 paper
- Technische Universität IlmenauDE1 paper
- Universidad del NoresteMX1 paper
- University of Central FloridaUS1 paper
- University of HelsinkiFI1 paper
11 papers
Low optical loss electrical isolation for multi-section monolithic GaSb-based photonic circuits
Md Ajwaad Zaman Quashef, Nouman Zia, Jukka Viheriälä +1
Monolithic photonic integrated circuits (PICs) platforms exploiting III-V materials combine passive and active waveguide structures in multi-section optoelectronic device architect…
Output Regulation for Impedance Passive Systems with Input Saturation
Thavamani Govindaraj, Lassi Paunonen
The paper develops a control strategy for infinite‑dimensional systems that are impedance passive and have input saturation, enabling accurate output tracking and disturbance rejec…
Few-Shot Open-Set Audio Classification Using Attention Information-Fused Prototypes
Yanxiong Li, Jiaxin Tan, Qianqian Li +3
Most existing audio classification methods suppose that each query (testing) sample belongs to a class of support (training) samples, and misrecognize samples of unseen classes as…
CNN Models for Microphone Array Covariance Matrix Upsampling and Acoustic Imaging
Marianthi Adamopoulou, Parthasaarathy Sudarsanam, David Diaz-Guerra +5
Acoustic imaging visualization is a core methodology in acoustics, enabling spatial analysis of sound sources and acoustic scenes. However, limited sensor availability in practical…
Deep Learning-Driven Black-Box Doherty Power Amplifier with Pixelated Output Combiner and Extended Efficiency Range
Han Zhou, Haojie Chang, David Widen
This article presents a deep learning-driven inverse design methodology for Doherty power amplifiers (PA) with multi-port pixelated output combiner networks. A deep convolutional n…
Green's Function Methods for Computing Supercurrents in Josephson Junctions
Eduardo R. Mucciolo, Jouko Nieminen, Xiao Xiao +3
Interest in Josephson junctions (JJs) has increased rapidly in recent years not only because of their use in qubits and other quantum devices but also due to the unique physics sup…