AI sensors In-memory computing
Maysam Ghovanloo, Professor of Electrical and Computer Engineering, Georgia Institute of Technology, USA
B3 L5 R5209
Georgia Tech microelectronics sensors RF communications
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sensors RFICs
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Circuits monitoring sensors Voltage control Impedance Antennas
sensors lab-on-a-chip antenna arrays
sensors antenna arrays lab-on-a-chip
RFICs sensors lab-on-a-chip antenna arrays nonlinear models
cardiovascular sensors electrical engineering
single readout technique sensors lab-on-a-chip
sensors antenna arrays wireless communications network
sensors lab-on-a-chip antenna arrays magnetic sensors consumer electronics IoT
sensors antenna arrays
MXene Wearable sensors material science and engineering
MOFs sensors Materials
bioscience health monitoring sensors diabetes
electrical engineering sensors IoT
nanoparticles sensors sensors initiative
sensors chemical science electrical engineering gas monitoring MOFs
sensors machine learning supercomputing
sensors energy storage material science and engineering IoT
human health sensors electrical engineering
magnetic skin energy harvesting sensors
Water pollution sensors Plastic LSG
sensors pollution electrical engineering
wireless Biosensors electromagnetic sensors
sensors material science electrical engineering
sensors electrical engineering IoT
communications sensors electrical engineering IoT
artificial intelligence Computer Vision sensors electrical engineering
sensors machine learning artificial intelligence bioelectronics
sensors chemical sensors Biosensors
sensors Gas Sensors memory devices flexible electronics Biosensors
sensors lab-on-a-chip antenna arrays nonlinear models
sensors embedded systems modeling SCSA