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1. |
Record Nr. |
UNINA9910455121903321 |
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Autore |
Janes Rob |
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Titolo |
Metal-ligand bonding [[electronic resource] /] / Rob Janes and Elaine Moore |
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Pubbl/distr/stampa |
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Milton Keynes [England], : Open University |
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Cambridge, UK, : Royal Society of Chemistry, 2004 |
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ISBN |
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Descrizione fisica |
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1 online resource (112 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Crystal field theory |
Metal bonding |
Transition metal complexes |
Transition metals |
Electronic books. |
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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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Nota di contenuto |
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BK9780854049790-FX001; BK9780854049790-FP001; BK9780854049790-FP003; BK9780854049790-FP005; BK9780854049790-00001; BK9780854049790-00005; BK9780854049790-00014; BK9780854049790-00021; BK9780854049790-00028; BK9780854049790-00033; BK9780854049790-00040; BK9780854049790-00041; BK9780854049790-00044; BK9780854049790-00057; BK9780854049790-00066; BK9780854049790-00070; BK9780854049790-00071; BK9780854049790-00075; BK9780854049790-00083; BK9780854049790-00084; BK9780854049790-00085; BK9780854049790-00087; BK9780854049790-00093; BK9780854049790-00096; BK9780854049790-00097 |
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Sommario/riassunto |
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To appreciate the chemistry and physical properties of complexes of the transition series, an understanding of metal-ligand interactions applied to complexes of the d-block is needed. Metal Ligand Bonding aims to provide this through an accessible, detailed, non-mathematical approach.Initial chapters detail the crystal-field model, using it to |
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describe the use of magnetic measurements to distinguish complexes with different electronic configurations and geometries. Subsequent chapters look at the molecular orbital theory of transition metal complexes using a pictorial approach. Bonding in octa |
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2. |
Record Nr. |
UNINA9910720086203321 |
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Autore |
Tistarelli Massimo |
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Titolo |
Computer Vision and Machine Intelligence : Proceedings of CVMI 2022 / / edited by Massimo Tistarelli, Shiv Ram Dubey, Satish Kumar Singh, Xiaoyi Jiang |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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9789811978678 |
9789811978661 |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (777 pages) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 586 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Computer vision |
Artificial intelligence |
Computational Intelligence |
Computer Vision |
Artificial Intelligence |
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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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Efficient Voluntary Contact-Tracing System & Network for COVID-19 Patients using Sound Waves and Predictive Analysis using K-Means -- Direct De Novo Molecule Generation using Probabilistic Diverse Variational Autoencoder -- Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis. |
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Sommario/riassunto |
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This book presents selected research papers on current developments in the fields of computer vision and machine intelligence from International Conference on Computer Vision and Machine Intelligence (CVMI 2022). The book covers topics in image processing, artificial intelligence, machine learning, deep learning, computer vision, |
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machine intelligence, etc. The book is useful for researchers, postgraduate and undergraduate students, and professionals working in this domain. . |
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