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[null,"1.","Record Nr.",null,"UNINA9910795646603321"]
[null,null,"Autore",null,"Vries P. H. H."]
[null,null,"Titolo",null,"Atlas of material life : Northwestern Europe and East Asia, 15th to 19th century / / Peer Vries, Annelieke Vries"]
[null,null,"Pubbl/distr/stampa",null,"Leiden, Netherland : , : Leiden University Press, , [2020]"]
[{"$nulls":4},"©2020"]
[null,null,"ISBN",null,"90-8728-354-7"]
[null,null,"Descrizione fisica",null,"1 online resource (1 online resource PDF, 340 pagina's, 64490489 bytes) : : illustraties"]
[null,null,"Disciplina",null,"820.9003"]
[null,null,"Soggetti",null,"Material culture - History - Europe, Western"]
[{"$nulls":4},"Material culture - History - East Asia"]
[{"$nulls":4},"East Asia"]
[{"$nulls":4},"Western Europe"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Geography and demography -- Energy -- Resources -- Agriculture -- Exchanges -- Stagnation and growth -- Sources of growth? Changes in production and transport -- Sources of growth? Markets and states -- The great divergence -- Review and reflection."]
[null,null,null,"Sommario/riassunto","Large-scale comparative economic history of westernmost and easternmost Eurasia is of importance for the understanding of global history. The book provides a description of material life in North-western Europe and East Asia, for the period from the late fifteenth to the late nineteenth centuries, with a focus on developments in Great Britain and the Dutch Republic on the one hand and China and Japan on the other hand. Like an atlas it provides information, in an accessible format, on the main characteristics of the economic landscape of this period. Maps, tables, graphs and figures are a prominent and integral part of the book. It shows the constraints to which all pre-industrial economies were subjected because of their dependence on organic natural resources but also the different ways in which the societies discussed dealt with those constraints. To provide a better understanding of this economy of limited possibilities, the final chapter of the book is devoted to the emergence of modern economic growth in Western Europe."]
[null,"2.","Record Nr.",null,"UNINA9910872833003321"]
[null,null,"Titolo",null,"Innovative architecture for future generation high-performance processors and systems : 18-19 January, 2001, Maui, Hawaii"]
[null,null,"Pubbl/distr/stampa",null,"[Place of publication not identified], : IEEE Computer Society, 2000"]
[null,null,"Soggetti",null,"Computer architecture"]
[{"$nulls":4},"High performance computing"]
[{"$nulls":4},"High performance processors"]
[{"$nulls":4},"Engineering & Applied Sciences"]
[{"$nulls":4},"Computer Science"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,"3.","Record Nr.",null,"UNINA9910645893103321"]
[null,null,"Autore",null,"Arzmi Mohd Hafiz"]
[null,null,"Titolo",null,"Deep Learning in Cancer Diagnostics : A Feature-based Transfer Learning Evaluation / / by Mohd Hafiz Arzmi, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Mohd Azraai Mohd Razman, Hong-Seng Gan, Ismail Mohd Khairuddin, Ahmad Fakhri Ab. Nasir"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"981-19-8937-0"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (41 pages)"]
[null,null,"Collana",null,"SpringerBriefs in Forensic and Medical Bioinformatics, , 2196-8853"]
[null,null,"Disciplina",null,"610.153"]
[null,null,"Soggetti",null,"Medical physics"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Cancer - Imaging"]
[{"$nulls":4},"Computational intelligence"]
[{"$nulls":4},"Medical Physics"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Cancer Imaging"]
[{"$nulls":4},"Computational Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"1. Epidemiology, detection and management of cancer -- 2. A VGG16 feature-based Transfer Learning Evaluation for the diagnosis of Oral Squamous Cell Carcinoma (OSCC) -- 3. The Classification of Breast Cancer: The effect of hyperparameter optimisation towards the efficacy of feature-based transfer learning pipeline -- 4. The Classification of Lung Cancer: A DenseNet feature-based Transfer Learning Evaluation -- 5. Skin Cancer Diagnostics: A VGG Ensemble Approach -- 6. The Way Forward."]
[null,null,null,"Sommario/riassunto","Cancer is the leading cause of mortality in most, if not all, countries around the globe. It is worth noting that the World Health Organisation (WHO) in 2019 estimated that cancer is the primary or secondary leading cause of death in 112 of 183 countries for individuals less than 70 years old, which is alarming. In addition, cancer affects socioeconomic development as well. The diagnostics of cancer are often carried out by medical experts through medical imaging; nevertheless, it is not without misdiagnosis owing to a myriad of "]
[{"$nulls":4},"reasons. With the advancement of technology and computing power, the use of state-of-the-art computational methods for the accurate diagnosis of cancer is no longer far-fetched. In this brief, the diagnosis of four types of common cancers, i.e., breast, lung, oral and skin, are evaluated with different state-of-the-art feature-based transfer learning models. It is expected that the findings in this book are insightful to various stakeholders in the diagnosis of cancer."]