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Mark Daniel Alea

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2023
[c4]
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  - conf/biocas/AsscheCAMG23
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  - https://dblp.org/rec/conf/biocas/AsscheCAMG23
Jonah Van Assche, Marco Francesco Carlino, Mark Daniel Alea, Sergio Massaioli, Georges G. E. Gielen:
From sensor to inference: end-to-end chip design for wearable and implantable biomedical applications. BioCAS 2023: 1-5
[c3]
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Jiaqi Wang, Mark Daniel Alea, Jonah Van Assche, Georges G. E. Gielen:
End-to-End Optimization of High-Density e-Skin Design: From Spiking Taxel Readout to Texture Classification. DATE 2023: 1-6
[c2]
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  - conf/vlsit/AleaSGATLG23
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Mark Daniel Alea, Ali Safa, Flavio Giacomozzi, Andrea Adami, Inci Rüya Temel, Leandro Lorenzelli, Georges G. E. Gielen:
A Fingertip-Mimicking 12×16 200μm-Resolution e-skin Taxel Readout Chip with per-Taxel Spiking Readout and Embedded Receptive Field Processing. VLSI Technology and Circuits 2023: 1-2
2022
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  - journals/micro/SafaAACG22
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Ali Safa, Jonah Van Assche, Mark Daniel Alea, Francky Catthoor, Georges G. E. Gielen:
Neuromorphic Near-Sensor Computing: From Event-Based Sensing to Edge Learning. IEEE Micro 42(6): 88-95 (2022)
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Mark Daniel Alea, Ali Safa, Jonah Van Assche, Georges G. E. Gielen:
Power-Efficient and Accurate Texture Sensing Using Spiking Readouts for High-Density e-Skins. BioCAS 2022: 359-363

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