Andere Kunden interessierten sich auch für
![Antennas]( "Antennas")
Antennas220,99 €![Feature Papers in Communications Section 2022]( "Feature Papers in Communications Section 2022")
Feature Papers in Communications Section 2022170,99 €![Machine Learning for Energy Systems]( "Machine Learning for Energy Systems")
Machine Learning for Energy Systems88,99 €![Machine Learning and Data Mining Applications in Power Systems]( "Machine Learning and Data Mining Applications in Power Systems")
Machine Learning and Data Mining Applications in Power Systems100,99 €![Real-Time Sensor Networks and Systems for the Industrial IoT]( "Real-Time Sensor Networks and Systems for the Industrial IoT")
Real-Time Sensor Networks and Systems for the Industrial IoT73,99 €![Document-Image Related Visual Sensors and Machine Learning Techniques]( "Document-Image Related Visual Sensors and Machine Learning Techniques")
Document-Image Related Visual Sensors and Machine Learning Techniques70,99 €![Sensors Data Processing Using Machine Learning]( "Sensors Data Processing Using Machine Learning")
Sensors Data Processing Using Machine Learning91,99 €
Recent advances in machine learning, coupled with the availability of powerful computing platforms, have garnered significant attention from academic, research, and industry communities. Machine learning is considered a promising tool to tackle the challenge posed by increasingly complex, heterogeneous, and dynamic communication environments. It holds the potential to contribute to the intelligent management and optimization of communication systems and networks by enabling us to predict changes, find patterns of uncertainties in the communication environment, and make data-driven decisions. This Topic seeks to explore the intersection of machine learning and communication research, showcasing a compilation of cutting-edge contributions which underscore the transformative potential of machine learning as a driving force behind adaptive and intelligent communication.