GitHub

Image Anomaly Detection using Convolutional Autoencoders

An autoencoder is a specialized type of neural network that learns to compress and then reconstruct data. It consists of two main parts: Encoder: Takes the input image and compresses it into a ...
IEEE

Design and Implementation of a High-Performance 5G NR FPGA System Using 2048 QAM and 8x8 ...

Abstract: This work presents the first real-time FPGA prototype for 5G NR with 2048 QAM and 8x8 MIMO OFDM wireless system. The application of the convolution encoder ...
GitHub

lv_demo_keypad_encoder.c

lv_obj_set_flex_flow(parent, LV_FLEX_FLOW_COLUMN); lv_obj_set_flex_align(parent, LV_FLEX_ALIGN_START, LV_FLEX_ALIGN_CENTER, LV_FLEX_ALIGN_CENTER); lv_obj_t * obj; obj ...
IEEE

Reinforcement Learning on Large-Scale Graphs for EV Charging Station Deployment

Abstract: The rapid growth of electric vehicles presents new challenges for the effective deployment of charging stations in complex urban road networks, especially under sparse and unevenly ...
EDN

Self-correcting codes conquer noise, part one: Viterbi codecs

FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...