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  • 1
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Springer
    UID:
    b3kat_BV049725912
    Format: 1 Online-Ressource (XV, 238 p. 56 illus., 49 illus. in color)
    Edition: 1st ed. 2024
    ISBN: 9789819716319
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9716-30-2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9716-32-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9716-33-3
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    UID:
    b3kat_BV044934543
    Format: 1 Online-Ressource (XXI, 394 Seiten, 85 illus., 26 illus. in color)
    ISBN: 9789811078149
    Series Statement: Springer proceedings in mathematics & statistics volume 225
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-10-7813-2
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Mathematik ; Variationsrechnung ; Diskrete Optimierung ; Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
    Author information: Maulik, Ujjwal
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  • 3
    Online Resource
    Online Resource
    Berlin, Heidelberg ; s.l. : Springer Berlin Heidelberg | Imprint: Springer
    UID:
    b3kat_BV041648320
    Format: 1 Online-Ressource (XII, 217 S.) , Ill.
    Edition: Online-Ausgabe Springer eBook Collection / Computer Science
    ISBN: 9783642415395
    Additional Edition: Reproduktion von Saha, Punam K. Advanced Computational Approaches to Biomedical Engineering 2014
    Additional Edition: Erscheint auch als Druckausgabe ISBN 978-3-642-41538-8
    Language: English
    Subjects: Computer Science , Biology
    RVK:
    RVK:
    Keywords: Informatik ; Künstliche Intelligenz ; Maschinelles Sehen ; Bioinformatik
    Author information: Saha, Punam K.
    Author information: Maulik, Ujjwal
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  • 4
    UID:
    almahu_9949406395702882
    Format: 1 online resource.
    Edition: First edition.
    ISBN: 9781119743187 , 1119743184 , 9781119742982 , 1119742986 , 9781119743200 , 1119743206
    Series Statement: The Wiley series in intelligent signal and data processing
    Content: "Health care informatics aka medical informatics refers to application of information engineering and management to the field of health care covering essentially the management and use of patient health care information. By means of a multidisciplinary approach, it uses health information technology for the purpose of improving health care by resorting to newer and higher quality opportunities. As per the United States National Library of Medicine (NLM) health informatics is defined as "an interdisciplinary study of the design, development, adoption and application of IT-based innovations in health care services delivery, management and planning. Essentially, it effects the optimization of the acquisition, storage, retrieval, and use of information in health and bio-medicine. Intelligent health care informatics augments the purview of the existing health care amenities by enveloping intelligent technologies to the information engineering aspects. Intelligent analysis of the information therein enhances the overall management as far as usage of resources is concerned"--
    Note: Includes index. , Table of Contents ; Preface About the Editors List of Contributors [vendor to compile from COP info and contrib. , Spreadsheet] Chapter 1 ; An Overview of Applied Smart Health Care Informatics in context of Computational Intelligence Sourav De, Cooch Behar Government Engineering College, Cooch Behar, India Rik Das, Xavier Institute of Social Service, Ranchi, India Chapter 2 ; Artificial Intelligence for Lung Cancer Classification using PET-CT Scan; Kaushik Pratim Das, CHRIST (Deemed to be University), Bangalore, India Chandra J., CHRIST (Deemed to be University), Bangalore, India Nachamai M., Siemens Healthcare Pvt.Ltd, Chapter 3 ; Formal Methods for Security of Medical Devices; Srinivas Pinisetty, Indian Institute of Technology Bhubaneswar, India Nathan Allen, University of Auckland, New Zealand Hammond Pearce, NYU Tandon School of Engineering, USA Mark Trew, University of Auckland, , New Zealand Manoj Singh Gaur, Indian Institute of Technology Jammu, India Partha S Roop, University of Auckland, New Zealand Chapter 4 ; Integration of two deep learning models for identifying gene signature in head and neck cancer from multi-omics data analysis; Suparna Saha, SyMeC Data Center, Indian Statistical Institute, Kolkata, India Sumanta Ray, Aliah University, Kolkata, India Sanghamitra Bandyopadhyay, Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India Chapter 5 ; A Study of Computational Learning and IoT Applications to High-Throughput Array-based Sequencing and Medical Imaging data in Drug Discovery and Other Health Care Systems; Soham Choudhuri, Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad, India Saurav Mallik, , School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, USA Bhaswar Ghosh, Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad, India Tapas Si, Bankura Unnayani Institute of Engineering, Bankura, India Tapas Bhadra, Aliah University, Kolkata, India Ujjwal Maulik, Jadavpur University, Kolkata, India Aimin Li, School of Computer Science and Engineering, Xi`an University of Technology, China Chapter 6 ; Analysis of Breast Cancer Risk Factors Data: Association Rule Mining based on Ethnic Groups and Classification using Super Learning; Md Faisal Kabir, North Dakota State University, ND, USA Simone A. , Ludwig, North Dakota State University, ND, USA Chapter 7 ; Neuro-Rough Hybridization for Recognition of Virus Particles from TEM Images; Debamita Kumar, Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India Pradipta Maji, Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India Chapter 8 ; Neural Network Optimizers for Brain Tumor Image Detection; T. Kalaiselvi, The Gandhigram Rural Institute (Deemed to be University), Tamil Nadu, India S. T. Padmapriya, The Gandhigram Rural Institute (Deemed to be University), Tamil Nadu, India Chapter 9 ; Abnormal Slice Classification from MRI Volumes using Bilateral Symmetry Property of Human Head Scans; Kalaichelvi N., The Gandhigram Rural Institute (Deemed to be University), Tamil Nadu, India T. , Kalaiselvi, The Gandhigram Rural Institute (Deemed to be University), Tamil Nadu, India K. Somasundaram, The Gandhigram Rural Institute (Deemed to be University), Tamil Nadu, India Chapter 10 ; Conclusion; Siddhartha Bhattacharyya, Rajnagar Mahavidyalaya, Birbhum, India Index [to be compiled by the Editors at proofreading stage]
    Additional Edition: Print version: Applied smart health care informatics Hoboken, NJ : Wiley, 2022 ISBN 9781119743170
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Electronic books.
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  • 5
    UID:
    almafu_9959328597802883
    Format: 1 online resource (xix, 372 pages) : , illustrations
    ISBN: 9780470872352 , 0470872357 , 9780470581599 , 047058159X , 9780470872345 , 0470872349
    Series Statement: Wiley series on bioinformatics: computational techniques and engineering
    Content: "Computational Intelligence (CI) is a successor of artificial intelligence combining elements of learning, adaptation, evolution and logic to create programs that are, in some sense, intelligent. CI exhibits an ability to learn or deal with new situations, such that the system is perceived to possess one or more attributes of reason. The different methodologies in CI work synergistically and provide, in one form or another, flexible information processing capabilities for handling a huge volume of real life data with noises, ambiguity, and missing values. Solving problems often involves search for useful regularities or patterns in large amounts of data. A typical characteristic of biological data is high dimensionality with low sample size. This poses grand challenges to traditional pattern analysis techniques, necessitating the development of sophisticated approaches--Provided by publisher.
    Note: Computational Intelligence: foundations, perspectives, and recent trends / Swagatam Das, Ajith Abraham, and B.K. Panigrahi -- Fundamentals of pattern analysis / Basabi Chakraborty -- Biological informatics: data, tools and applications / Kevin Byron, Miguel Cervantes-Cervantes and Jason T.L. Wang -- Part II: Sequence Analysis -- Promoter recognition using neural network approaches / T. Sobha Rani, S. Durga Bhavani and S. Bapi Raju -- Predicting microRNA prostate cancer target genes / Francesco Masulli, Stefano Rovetta and Giuseppe Russo -- Structural search in RNA motif databases / Dongrong Wen and Jason T.L. Wang -- Kernels on protein structures / Sourangshu Bhattacharya, Chiranjib Bhattacharyya and Nagasuma R. Chandra -- Characterization of conformational patterns in active and inactive forms of kinases using protein blocks approach / Garima Agarwal, Dhurvas Chandrasekaran Dinesh, Narayanaswamy Srinivasan, Alexandre G. de Brevern. , Kernel applications in cheminformatics / Aaron Smalter and Jun Huan -- In-silico drug design using a computational intelligence technique / Soumi Sengupta and Sanghamitra Bandyopadhyay -- Integrated differential fuzzy clustering for analysis of microarray data / Indrajit Saha and Ujjwal Maulik -- Identifying potential gene markers using SVM classifier ensemble / Anirban Mukhopadhyay, Ujjwal Maulik and Sanghamitra Bandyopadhyay -- Gene microarray data analysis using parallel point symmetry-based clustering / Ujjwal Maulik and Anasua Sarker -- Techniques for prioritization of possible disease genes / Jieun Jeong and Jake Y. Chen -- Prediction of protein protein interactions / Angshuman Bagchi -- Analyzing topological properties of protein-protein interaction networks / Malay Bhattacharyya and Sanghamitra Bandyopadhyay.
    Additional Edition: Print version: Computational intelligence and pattern analysis in biology informatics. Hoboken, N.J. : John Wiley & Sons, ©2010 ISBN 9780470581599
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Electronic books.
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  • 6
    UID:
    almafu_9959328947302883
    Format: 1 online resource ( xvi, 358 pages)
    ISBN: 9781119488781 , 1119488788 , 9781119488774 , 111948877X , 9781119488767 , 1119488761
    Content: Introduces quantum inspired techniques for image analysis for pure and true gray scale/color images in a single/multi-objective environment This book will entice readers to design efficient meta-heuristics for image analysis in the quantum domain. It introduces them to the essence of quantum computing paradigm, its features, and properties, and elaborates on the fundamentals of different meta-heuristics and their application to image analysis. As a result, it will pave the way for designing and developing quantum computing inspired meta-heuristics to be applied to image analysis. Quantum Inspired Meta-heuristics for Image Analysis begins with a brief summary on image segmentation, quantum computing, and optimization. It also highlights a few relevant applications of the quantum based computing algorithms, meta-heuristics approach, and several thresholding algorithms in vogue. Next, it discusses a review of image analysis before moving on to an overview of six popular meta-heuristics and their algorithms and pseudo-codes. Subsequent chapters look at quantum inspired meta-heuristics for bi-level and gray scale multi-level image thresholding; quantum behaved meta-heuristics for true color multi-level image thresholding; and quantum inspired multi-objective algorithms for gray scale multi-level image thresholding. Each chapter concludes with a summary and sample questions. -Provides in-depth analysis of quantum mechanical principles -Offers comprehensive review of image analysis -Analyzes different state-of-the-art image thresholding approaches -Detailed current, popular standard meta-heuristics in use today -Guides readers step by step in the build-up of quantum inspired meta-heuristics -Includes a plethora of real life case studies and applications -Features statistical test analysis of the performances of the quantum inspired meta-heuristics vis-A-vis their conventional counterparts Quantum Inspired Meta-heuristics for Image Analysis is an excellent source of information for anyone working with or learning quantum inspired meta-heuristics for image analysis.
    Note: Introduction -- Review of image analysis -- Overview of meta-heuristics -- Quantum inspired meta-heuristics for bi-level image thresholding -- Quantum inspired meta-heuristics for gray-scale multi-level image thresholding -- Quantum behaved meta-heuristics for true color multi-level image thresholding -- Quantum inspired multi-objective algorithms for multi-level image thresholding -- Conclusion -- Bibliography -- Index -- EULA
    Additional Edition: Print version: Dey, Sandip, 1977- author. Quantum inspired meta-heuristics for image analysis Hoboken, NJ : Wiley, 2019 ISBN 9781119488750
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Electronic books. ; Electronic books. ; Electronic books. ; Electronic books.
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  • 7
    UID:
    kobvindex_ZLB15403638
    Format: XVI, 281 Seiten , Ill., graph. Darst.
    ISBN: 9783642166143 , 3642166148
    Note: Text engl.
    Language: English
    Keywords: Genetischer Algorithmus ; Mehrkriterielle Optimierung ; Fuzzy-Clusteranalyse ; Automatische Klassifikation ; Maschinelles Lernen ; Data Mining ; Bioinformatik
    Author information: Maulik, Ujjwal
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  • 8
    UID:
    b3kat_BV041541006
    Format: 1 Online-Ressource
    ISBN: 9783642402548 , 9783642402555
    Language: English
    Keywords: Bilderkennung ; Objekterkennung ; Bildsegmentierung ; Merkmalsextraktion ; Gehirn ; Informationsverarbeitung ; Neuronales Netz ; Soft Computing
    Author information: Maulik, Ujjwal
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  • 9
    UID:
    b3kat_BV039566777
    Format: 1 Online-Ressource (XVI, 281 S.) , Ill., graph. Darst.
    ISBN: 9783642166150
    Additional Edition: Erscheint auch als Druckausgabe ISBN 978-3-642-16614-3
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Genetischer Algorithmus ; Mehrkriterielle Optimierung ; Fuzzy-Clusteranalyse ; Automatische Klassifikation ; Maschinelles Lernen ; Data Mining ; Bioinformatik
    Author information: Maulik, Ujjwal
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  • 10
    UID:
    kobvindex_ZLB15738467
    Format: XV, 267 Seiten , Ill., graph. Darst , 24 cm
    ISBN: 9783642402548 , 3642402542
    Note: Literaturangaben
    Language: English
    Keywords: Bilderkennung ; Objekterkennung ; Bildsegmentierung ; Merkmalsextraktion ; Gehirn ; Soft Computing
    Author information: Bhattacharyya, Siddhartha
    Author information: Maulik, Ujjwal
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