The challenging deployment of compute-intensive applications from domains such Artificial
Intelligence (AI) and Digital Signal Processing (DSP), forces the community of computing …

In this brief, Approximate Softcore Multipliers are designed on Intel FPGAs to boost the
energy efficiency of Error resilient Applications. Two partial products (PP) of a multiplier PP …

Nowadays, the rapid growth of Deep Neural Network (DNN) architectures has established
them as the defacto approach for providing advanced Machine Learning tasks with excellent …

With the increasing complexity of digital systems, managing power dissipation and energy
consumption in digital circuits, particularly in emerging embedded systems for artificial …

The computing industry is forced to find alternative design approaches and computing
platforms to sustain increased power efficiency, while providing sufficient performance …

Every new generation of wireless communication standard aims to improve the overall
performance and quality of service (QoS), compared to the previous generations. Increased …

In recent years with the development of digital communications, applications for various
wireless networks necessitate a single-chip design to meet performance requirements. The …

This paper proposes the design of K-NN algorithm based 256-Quadrature Amplitude
Modulation for the fault identification. The main purpose of the proposed method is to use …

Περίληψη Τα FPGA (Field-Programmable Gate Arrays) είναι κυκλώματα ημιαγωγών που
περιέχουν προγραμματιζόμενη λογική (logic blocks) και προγραμματιζόμενες διασυνδέσεις …