Machine learning based automatic modulation recognition for wireless communications: A comprehensive survey

B Jdid, K Hassan, I Dayoub, WH Lim, M Mokayef - IEEE Access, 2021 - ieeexplore.ieee.org
The rapid development of information and wireless communication technologies together
with the large increase in the number of end-users have made the radio spectrum more …

Machine learning: A catalyst for THz wireless networks

AAA Boulogeorgos, E Yaqub, M Di Renzo… - Frontiers in …, 2021 - frontiersin.org
With the vision to transform the current wireless network into a cyber-physical intelligent
platform capable of supporting bandwidth-hungry and latency-constrained applications, both …

Multi-strategy serial cuckoo search algorithm for global optimization

H Peng, Z Zeng, C Deng, Z Wu - Knowledge-Based Systems, 2021 - Elsevier
Cuckoo search algorithm (CS) is a simple and effective nature-inspired optimization
algorithm, which has been widely applied to solve the complex engineering optimization …

Prediction of IGBT junction temperature using improved cuckoo search-based extreme learning machine

B Liu, G Chen, HC Lin, W Zhang, J Liu - Microelectronics Reliability, 2021 - Elsevier
The insulated-gate bipolar transistor (IGBT) is one of the most widely used power transistors
in switching and industrial control systems. Its actual junction temperature plays a critical …

Application mapping using cuckoo search optimization with Lévy flight for NoC-based system

MJ Mohiz, NK Baloch, F Hussain, S Saleem… - IEEE …, 2021 - ieeexplore.ieee.org
Network on chip (NoC) is a promising communication infrastructure for multiple cores on a
chip to exchange data efficiently. In such NoC architecture, application mapping is a process …

Cross model deep learning scheme for automatic modulation classification

H Ma, G Xu, H Meng, M Wang, S Yang, R Wu… - IEEE …, 2020 - ieeexplore.ieee.org
Deep Neural Networks (DNNs) have achieved remarkable accuracy improvements for
automatic modulation classification. However, the employed networks often have millions of …

Time–frequency-analysis-based blind modulation classification for multiple-antenna systems

W Jiang, X Wu, Y Wang, B Chen, W Feng, Y Jin - Sensors, 2021 - mdpi.com
Blind modulation classification is an important step in implementing cognitive radio
networks. The multiple-input multiple-output (MIMO) technique is widely used in military and …

Linguistic Features and Bi-LSTM for Identification of Fake News

AA Ali, S Latif, SA Ghauri, OY Song, AA Abbasi… - Electronics, 2023 - mdpi.com
With the spread of Internet technologies, the use of social media has increased
exponentially. Although social media has many benefits, it has become the primary source …

AMC2N: automatic modulation classification using feature clustering-based two-lane capsule networks

DH Al-Nuaimi, MF Akbar, LB Salman, ISZ Abidin… - Electronics, 2021 - mdpi.com
The automatic modulation classification (AMC) of a detected signal has gained considerable
prominence in recent years owing to its numerous facilities. Numerous studies have focused …

Random Graph‐Based M‐QAM Classification for MIMO Systems

M Sarfraz, S Alam, SA Ghauri… - Wireless …, 2022 - Wiley Online Library
Automatic modulation classification (AMC) has been identified to perform a key role to
realize technologies such as cognitive radio, dynamic spectrum management, and …