… This survey study mainly focuses on the types of ad hoc networks, … Also, different techniques
like machine learning, deep … of ad hoc networks like MANETs, VANETs, and flying ad hoc …

… Flying ad-hoc networks (FANETs) are a very vibrant research area nowadays. They have …
The proposed model outperforms the state of the art artificial intelligence techniques such as …

… We design a transport protocol that uses artificial neural networks (ANNs) to adapt the audio
… We select a simple machine learning approach that is sufficient – an artificial neural network …

… The vehicular ad hoc network is an emerging area of technology that provides intelligent
transportation systems with vast advantages and applications. Frequent disconnections …

… methods to reason about the timing and value of communication and introduces an algorithm
for an ad hoc agent to leverage these methods. … Artificial Intelligence, 203:35–65, 2013. […

… Several special issues on computational intelligence in telecommunication networks have
… researchers have recently taken intelligent techniques into telecommunication networks. We …

… , namely a polynomial model and an artificial neural network. Both models are evaluated
based … ad hoc predictions based on information obtained from vehicle agents. A first approach …

… In our method, we use machine learning to predict the movement behavior of vehicles and
the transmission capacity of routing paths. We adopt an unsupervised clustering approach to …

… proposes a hybrid intelligent-classic control approach for reconstruction … An intelligentclassic
control system is developed to … Some CPSs rely on ad hoc networks or even the Internet to …

… of Machine learning over the past years many computer networks and artificial intelligence
… learning architecture and its technology to improvise the performance of their approach for …