Configurable Multi-Layer Perceptron-Based Soft Sensors on Embedded Field Programmable Gate Arrays: Targeting Diverse Deployment Goals in Fluid Flow Estimation. [PDF]
Ling T +5 more
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Smart Electric Vehicle Charging Management Using Reinforcement Learning on FPGA Platforms. [PDF]
Damodarin UM +4 more
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Mitigating side channel attacks on FPGA through deep learning and dynamic partial reconfiguration. [PDF]
Bommana SR +3 more
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Spatially programmable origami networks enable high-density mechanical computing for autonomous robotics. [PDF]
Hu X, Tan T, Chen Y, Yan Z.
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Accelerating electrostatic particle-in-cell simulation: A novel FPGA-based approach for efficient plasma investigations. [PDF]
Almomany A, Sutcu M, Ibrahim BSKSMK.
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From pixels to camera: scaling superconducting nanowire single-photon detectors for imaging at the quantum-limit. [PDF]
Gao J +5 more
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ChipletQuake: On-Die Digital Impedance Sensing for Chiplet and Interposer Verification. [PDF]
Khalaj Monfared S +2 more
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Design issues in field programmable gate arrays (FPGAs)
ICM'99. Proceedings. Eleventh International Conference on Microelectronics (IEEE Cat. No.99EX388), 2000In this paper, we present some of the important design factors and performance issues in the development of field programmable gate arrays (FPGAs). Emphasis is placed on the design of logic blocks and interconnection resources. We also discuss the possibility of using multiple-valued logic in the design of FPGA logic blocks.
M. Abd-El-Barr, Z. Vranesic
exaly +2 more sources
In this paper, the authors present a hardware implementation of a fully digital multilayer perceptron artificial neural network using Xilinx Field Programmable Gate Arrays (FPGAs). Each node is implemented with two XC3042 FPGAs and a 1 K/spl times/8 EPROM. Training is done offline on a PC.
Naleih M. Botros, M. Abdul-Aziz
exaly +2 more sources

