Artificial intelligence-assisted management of retinal detachment from ultra-widefield fundus images based on weakly-supervised approach. [PDF]
Li H, Cao J, You K, Zhang Y, Ye J.
europepmc +1 more source
Guidelines on the Use of Therapeutic Apheresis in Clinical Practice-Evidence-Based Approach From the Writing Committee of the American Society for Apheresis: The Tenth Special Issue. [PDF]
Zantek ND +12 more
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Genomic analysis, tolerance, and probiotic potential of Bacillus coagulans mr-1B isolated from the hindgut of Macrobrachium rosenbergii against Vibrio parahaemolyticus. [PDF]
Xu Y +5 more
europepmc +1 more source
AI-Empowered Electrochemical Sensors for Biomedical Applications: Technological Advances and Future Challenges. [PDF]
Liu Y, Liu X, Wang X, Jiang H.
europepmc +1 more source
Deep learning based automatic modulation recognition: Models, datasets, and challenges [PDF]
Automatic modulation recognition (AMR) detects the modulation scheme of the received signals for further signal processing without needing prior information, and provides the essential function when such information is missing.
Chunbo Luo, Jialang Xu, Fuxin Zhang
exaly +8 more sources
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Bamidele Adebisi +2 more
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Hyuk-Je Kim
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CNN-based automatic modulation recognition for index modulation systems [PDF]
Automatic modulation recognition (AMR) has garnered significant attention in both civilian and military domains, with applications ranging from spectrum sensing and cognitive radio (CR) to the deterrence of adversary communication.
Murtaza Cicioğlu +2 more
exaly +3 more sources
Darius Plonis +2 more
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ABSTRACT Deep learning‐based automatic modulation recognition (AMR) techniques are particularly well‐suited to facilitate the development of non‐cooperative communication systems, providing a robust foundation for the automatic processing of complex communication signals.
Lianzhong Zhang +3 more
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