… with built-in and function-oriented sensors, essentially constituting a network of … algorithms,
machine learning, or deep learning to solve the problems of optimization, decision making, …

… ’s health condition by sensors connected to the body for … ), and neural networks algorithms
were utilized to predict and … results of the network based on real-time decision making. Also, a …

… AI-based techniques for decision making such as optimization … AI algorithms that can be
utilized to enhance cellular networks … Qadir, “Artificial intelligence based cognitive routing for …

… information from the surroundings using on-board sensors. IoV is mainly classified into five
… A multi-criteria decision making algorithm of AHP was developed to give preference for the …

… estimates regarding big data-driven decision-making processes in cyber-physical system-…
Internet of Things smart devices, industrial artificial intelligence, and real-time sensor networks …

… data integration for informed decision-making, sustainable … in Internet of Things (IoT) and
Wireless Sensor Network (WSN… averaged rider optimization algorithm for IoT networks in smart …

… of ubiquitous sensing will revolutionise the Future Internet … things and the data, and providing
intelligence based on the … belief-network for decision making; the algorithm first looks up to …

… an IDS, artificial intelligence-based technologies, such as … In this paper, different ML
algorithms and a Deep Learning (DL) … sensors network and aggregate outputs, while Internet …

… especially the use of sensor networks and machine learning for … are wireless sensor network,
machine learning, artificial … from different sources streamlined for decision-making. PFS has …

… being used for decision-making and predicting the … sensor does not require external gels
or adhesive tapes for biopotential signal acquisition. A DL algorithm based on the CNN network …