Quantum Support Vector Machines (QSVM) play a vital role in using quantu...
The discovery of suitable automorphisms of polar codes gained a lot of
a...
In recent years, communication engineers put strong emphasis on artifici...
In communication systems, Autoencoder (AE) refers to the concept of repl...
The URLLC scenario in the upcoming 6G standard requires low latency and ...
Recent advances in quantum computing pose a serious threat on the securi...
The large number of recent JEDEC DRAM standard releases and their increa...
LPDDR5 is the latest low-power DRAM standard and expected to be used in
...
Due to the rapid development of autonomous driving, the Internet of Thin...
Deep Neural Networks (DNNs) are capable of solving complex problems in
d...
The open-source and community-supported gem5 simulator is one of the mos...
The Artificial Neural Networks (ANNs) like CNN/DNN and LSTM are not
biol...
The Alternating Direction Method of Multipliers has recently been adapte...
Deep learning is finding its way into the embedded world with applicatio...
It is well known that many types of artificial neural networks, includin...
Across applications, DRAM is a significant contributor to the overall sy...
Recent research implies that training and inference of deep neural netwo...