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1. |
Record Nr. |
UNINA9910350219403321 |
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Autore |
Chakraverty Snehashish |
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Titolo |
Concepts of Soft Computing : Fuzzy and ANN with Programming / / by Snehashish Chakraverty, Deepti Moyi Sahoo, Nisha Rani Mahato |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (206 pages) |
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Disciplina |
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Soggetti |
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Computer organization |
Artificial intelligence |
Computer Systems Organization and Communication Networks |
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 bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Soft Computing -- Intervals -- Fuzzy Sets -- Fuzzy Numbers -- Fuzzy Relations -- Fuzzy Functions -- Fuzzy differentiation and integration -- Defuzzification -- Interval system of linear equations -- Interval eigenvalue problems. |
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Sommario/riassunto |
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This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are considered as vague or uncertain sets having membership function lying between 0 and 1, and ANN is a type of artificial intelligence that attempts to imitate the way a human brain works by configuring specific applications, for instance pattern recognition or data classification, through learning processes. The book also presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner along, with simple examples and self-validation unsolved practice questions in few cases. |
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2. |
Record Nr. |
UNINA9910746978903321 |
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Titolo |
Electrochemical Biosensors for Whole Blood Analysis / / edited by Fan Xia, Hui Li, Shaoguang Li, Xiaoding Lou |
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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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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (0 pages) |
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Disciplina |
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Soggetti |
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Materials |
Detectors |
Analytical chemistry |
Sensors and biosensors |
Analytical Chemistry |
Bioanalytical Chemistry |
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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 bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction -- Electrochemical biosensors and the signaling -- Electrochemical biosensors for ions detection -- Electrochemical biosensors for neurotransmitters detection -- Electrochemical biosensors for metabolites detection -- Electrochemical biosensors for drugs detection -- Electrochemical biosensors for amino acids detection -- Electrochemical biosensors for nucleic acids detection -- Electrochemical biosensors for microRNA detection -- Electrochemical biosensors for hepatic and cardiac biomarkers detection -- Electrochemical biosensors for inflammatory biomarkers detection -- Electrochemical biosensors for tumor biomarkers detection -- Electrochemical biosensors for cells and cell exosomes detection -- Future perspectives of electrochemical biosensors for whole blood analysis. |
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Sommario/riassunto |
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This book illustrates recent advances in developing sensitive and selective electrochemical biosensors for their whole blood application. Known to be a cutting-edge and fast-growing technology, electrochemical biosensors demonstrate their potential in laboratories, industries, and healthcare to achieve specific and direct target |
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detection in complex media, and have become an emerging technology for guiding personalized medicine. The book first demonstrates methods and models to cover the detection of a variety of target molecules in whole blood, including ions, small molecules, nucleic acids, proteins, cells, etc. Then, it provides comments on various detection strategies employed to improve sensors' sensitivity, specificity, selectivity, and reproducibility as well as presenting the laws and principles. In addition, it summarizes achievements and challenges from recent years. Finally, it provides future perspectives and opportunities in electrochemical biosensors including pointof care detection, molecular diagnostics and the integration of this sensor platform with multidisciplinary technologies, towards the ultimate goal of personalized medicine. The book integrates abundant viewpoints from multiple sciences and is helpful and valuable to a wide readership in the various fields of biochemistry, biophysics, bioengineering, and pharmaceutics. |
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