Results 201 to 210 of about 2,658,834 (309)
Spectrum Sensing Method Based on STFT-RADN in Cognitive Radio Networks. [PDF]
Wang A, Zhu T, Meng Q.
europepmc +1 more source
Spectrum Inference in Cognitive Radio Networks: Algorithms and Applications
Guoru Ding +6 more
semanticscholar +1 more source
The quality of interaction with children in collective play: Children's agency
Abstract There is a growing body of studies on increasing the quality of infant–toddler education and care. Yet little attention has been directed towards how to bring toddlers' agency and perspective to their personally meaningful learning in collective play.
Liang Li
wiley +1 more source
Decision-Making Algorithm with Geographic Mobility for Cognitive Radio. [PDF]
Cervantes-Junco GB +5 more
europepmc +1 more source
Wireless Multimedia Cognitive Radio Networks: A Comprehensive Survey
Muhammad Amjad, M. H. Rehmani, S. Mao
semanticscholar +1 more source
Abstract Quality in early childhood education and care (ECEC) is a contested concept and has generally been conceptualised by inter‐related indicators such as staff qualifications, educational environment, policy or child‐to‐staff ratios. There has been a more limited emphasis on how young children might perceive and experience quality.
Nikki Fairchild, Éva Mikuska
wiley +1 more source
Secure channel estimation model for cognitive radio network physical layer security using two-level shared key authentication. [PDF]
Saravanan K +3 more
europepmc +1 more source
Reception Baseline Assessment and ‘small acts’ of micro‐resistance
Abstract In September 2021, following the global COVID‐19 pandemic, the Department for Education introduced a national standardised digital Reception Baseline Assessment (RBA) for all English 4‐year‐old children. We analyse RBA and its associated Quality Monitoring Visits, as a further intensification of the new public management of early years ...
Guy Roberts‐Holmes +2 more
wiley +1 more source
Multi-User Opportunistic Spectrum Access for Cognitive Radio Networks Based on Multi-Head Self-Attention and Multi-Agent Deep Reinforcement Learning. [PDF]
Bai W, Zheng G, Xia W, Mu Y, Xue Y.
europepmc +1 more source

