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1. |
Record Nr. |
UNISA996394551703316 |
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Autore |
Lily William <1468?-1522.> |
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Titolo |
A short introduction of grammar [[electronic resource] ] : Generally to be vsed. Compiled and set forth for the bringing up of all those that intend to attaine to the knowledge of the Latine tongue |
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Pubbl/distr/stampa |
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[London], : Printed by the printers of London for the good of the Common wealth, 1641 |
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Descrizione fisica |
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Altri autori (Persone) |
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Soggetti |
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Latin language - Grammar |
Latin language - Study and teaching |
Latin language - Metrics and rhythmics |
Latin language - Syntax |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Attributed to William Lily, with contributions by John Colet, Thomas Robertson, and others. |
Signatures: A-O. |
"Brevissima institutio" has separate pagination and title page dated 1641; register is continuous. |
Reproduction of the original in the British Library. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9911047684103321 |
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Autore |
Lim Chee Peng |
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Titolo |
Artificial Intelligence in Diagnostics and Imaging Technologies in Healthcare : In honour of Professor Dr. George A. Tsihrintzis for his Invaluable Contributions / / edited by Chee Peng Lim, Ajita Jain, Lakhmi C. Jain |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (295 pages) |
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Collana |
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Intelligent Systems Reference Library, , 1868-4408 ; ; 281 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computational intelligence |
Biomedical engineering |
Artificial intelligence |
Medical informatics |
Computational Intelligence |
Biomedical Engineering and Bioengineering |
Artificial Intelligence |
Health Informatics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Self-supervised and disease management system for diabetic retinopathy detection -- GAN-enhanced Abdominal MR-CT Image Fusion in Transform Domain -- U-Net with Attention for the Automatic Segmentation of the Major Temporal Arcade in Retinal Fundus Images -- Harnessing Few-Shot Learning Segmentation for Histopathology: A Comprehensive Practical Study -- Healthcare Applications of Object Detection for Tumor Detection Across Diverse Medical Imaging -- Automatic Multilabel Classification of Coronary Stenosis using Lightweight Deep Learning Techniques. |
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Sommario/riassunto |
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This book brings together cutting-edge research and innovative applications of artificial intelligence, machine learning, wearable technologies and decision support systems in modern healthcare. The |
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chapters demonstrate how these artificial intelligence innovations are driving next-generation healthcare solutions. The chapters present diverse clinical applications through advanced artificial intelligence approaches in diagnostics, treatment, rehabilitation and healthcare management, with a strong emphasis on patient-centred solutions. This book is directed to students, professors, researchers, practitioners in the field of healthcare, engineering, computer science and related areas. |
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