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  • BTU Cottbus  (103)
  • SB Ulrich Plenzdorf Seelow
  • IGB Berlin
  • Jain, Lakhmi C.  (103)
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  • 11
    Online Resource
    Online Resource
    Handbook of Artificial Intelligence in Healthcare : Vol. 1 - Advances and Applications (2022)
    Cham :Springer International Publishing :
    Details
    UID:
    almahu_9949226665902882
    Format: XVII, 456 p. 154 illus., 133 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030791612
    Series Statement: Intelligent Systems Reference Library, 211
    Content: This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.
    Note: Advances in artificial intelligence for the identification of epileptiform discharges -- Characterizing EEG electrodes in directed functional brain networks using normalized transfer entropy and page rank -- Autistic verbal behaviour language parameterization -- Case studies to demonstrate real-world applications in ophthalmic image analysis -- Segmentation of petri plate images for automatic reporting of urine culture tests -- Repurposing routine imaging for cancer biomarker discovery using machine learning.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030791605
    Additional Edition: Printed edition: ISBN 9783030791629
    Additional Edition: Printed edition: ISBN 9783030791636
    Language: English
    DOI: 10.1007/978-3-030-79161-2
    URL: https://doi.org/10.1007/978-3-030-79161-2
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 12
    Online Resource
    Online Resource
    Smart and Sustainable Technology for Resilient Cities and Communities (2022)
    Singapore :Springer Singapore :
    Details
    UID:
    almahu_9949255038902882
    Format: XVI, 322 p. 106 illus., 89 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811691010
    Series Statement: Advances in Sustainability Science and Technology,
    Content: This book is a collection of extended versions of papers presented at the KES Covid-19 Challenge international summit. The book focusses on technological, economic, and social developments to combat the effects of global and local disasters as well as the ways in which the recovery from Covid can be used to build more resilient and sustainable communities, industry, and improve the environment. It also discusses the global challenges of human-influenced climate change. There are chapters on making cities and communities more resilient through energy self-sufficiency, food production, resilient housing and buildings, human health and intelligent systems e.g. for forecasting and prediction.
    Note: Examining pedagogical approaches in developing employability skills in the wake of the Covid-19 pandemic -- Relating work-integrated learning to the employability skills discussion in the post-COVID-19 era -- Integration of Indoor Air Quality concerns in educational community through collaborative framework of Campus Bizia Lab of the University of the Basque Country -- An overview of methods for control and estimation of capacity in COVID19 pandemic from point cloud and imagery data -- Forecasting the COVID-19 spread in Iran, Italy and Mexico using novel nonlinear autoregressive neural network and ARIMA-based hybrid models -- A Comparative Study of Deep-Learning Models for COVID-19 Diagnosis based on X-ray Images -- Equipping European higher education teachers for successful and sustainable e-learning with home remote work -- Anticipating and Preparing for Future Change and Uncertainty: Building Adaptive Pathways -- A Sustainable Nutritional Behavior In The Era Of Climate Changes -- The Development of a Smart Tunable Full-Spectrum LED Lighting Technology which may Prevent and Treat Covid-19 Infections, for Society's Resilience and Quality of Life -- Energy efficient technologies for ultra-low temperature refrigeration.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811691003
    Additional Edition: Printed edition: ISBN 9789811691027
    Additional Edition: Printed edition: ISBN 9789811691034
    Language: English
    DOI: 10.1007/978-981-16-9101-0
    URL: https://doi.org/10.1007/978-981-16-9101-0
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 13
    Online Resource
    Online Resource
    Innovation in Medicine and Healthcare : Proceedings of 10th KES-InMed 2022 (2022)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949335078202882
    Format: XVI, 314 p. 106 illus., 93 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811934407
    Series Statement: Smart Innovation, Systems and Technologies, 308
    Content: This book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-22), held in Rhodes, Greece, on June 20-22, 2022. Covering a number of key areas, including digital IT architecture in health care; advanced ICT for medicine and health care; biomedical engineering, trends, research, and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists, and anyone wishing to gain an overview of the latest research in these fields.
    Note: 3D Convolutional Neural Network for Covid Assessment on CT Scans -- Prediction Models for COVID-19 in Children -- Society 5.0 as Digital Strategy for Scalability: Tamba's COVID-19 Vaccination Management System and its Expansion -- Analysis of Ensemble Learning for Chest X-Ray Images -- Adaptive Multi-Omics Survival Analysis in Cancer -- Risk Analysis of Developing Lifestyle-related Diseases based on the Content of Social Networking Service Posts -- Digital Twin in Healthcare through the Eyes of the Vitruvian Man -- Relationship between Mental Health, Life Skills and Life Satisfaction among Japanese Athletes -- IT Assisted Gardening for the Revitalization of the Elderly: The Turntable Solution -- Mental Health of the Elderly: Towards a Proposal for a Social Simulator based on the Complexity Approach.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811934391
    Additional Edition: Printed edition: ISBN 9789811934414
    Additional Edition: Printed edition: ISBN 9789811934421
    Language: English
    DOI: 10.1007/978-981-19-3440-7
    URL: https://doi.org/10.1007/978-981-19-3440-7
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 14
    Online Resource
    Online Resource
    Intelligent Decision Technologies : Proceedings of the 14th KES-IDT 2022 Conference (2022)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949335375602882
    Format: XX, 599 p. 238 illus., 181 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811934445
    Series Statement: Smart Innovation, Systems and Technologies, 309
    Content: This book gathers selected papers from the KES-IDT 2022 Conference, held in Rhodes, Greece on June 20-22, 2022. The book presents and discusses the latest research results and generates new ideas in the field of intelligent decision-making. The range of topics discussed are classification, prediction, data analysis, big data, data science, decision support, knowledge engineering, and modeling in diverse areas such as finance, cybersecurity, economics, health, management, and transportation. The problems in Industry 4.0 and IoT are also addressed. The book contains several sections devoted to specific topics, such as intelligent data processing and its applications, high-dimensional data analysis and its applications, multi-criteria decision analysis-theory and applications, large-scale systems for intelligent decision-making and knowledge engineering, decision technologies and related topics in big data analysis of social and financial issues, and decision-making theory for economics.
    Note: Latent Chained Comments to Retweet Extraction on Twitter -- Recommendation versus Regression Neural Collaborative Filtering -- Heuristic Approach to Improve the Efficiency of Maximum Weight Matching Algorithm Using Clustering -- Digital Cultural Heritage Twins: New Tools for a Complete Fruition of the Cultural Heritage Entities -- Arabic Speech Processing: State of the Art and Future Outlook -- Inter-rater Agreement Based Risk Assessment Scheme for ICT Corporates -- Sequence Classification via LCS -- Assured Multi-Agent Reinforcement Learning with Robust Agent-Interaction Adaptability -- Development of a Telegram Bot to Determine the Level of Technological Readiness -- Design of Multiprocessor Architecture for Watermarking and Tracing Images Using QR Code.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811934438
    Additional Edition: Printed edition: ISBN 9789811934452
    Additional Edition: Printed edition: ISBN 9789811934469
    Language: English
    DOI: 10.1007/978-981-19-3444-5
    URL: https://doi.org/10.1007/978-981-19-3444-5
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 15
    Online Resource
    Online Resource
    Artificial Intelligence and Machine Learning for Healthcare : Vol. 1: Image and Data Analytics (2023)
    Cham :Springer International Publishing :
    Details
    UID:
    almahu_9949420159202882
    Format: XIII, 231 p. 66 illus., 53 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031111549
    Series Statement: Intelligent Systems Reference Library, 228
    Content: Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future. In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.
    Note: An Introduction to Artificial Intelligence in Healthcare -- Radiomics: Approach to Precision Medicine -- Artificial Intelligence Based Strategies for Data-Driven Radial MRI. .
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031111532
    Additional Edition: Printed edition: ISBN 9783031111556
    Additional Edition: Printed edition: ISBN 9783031111563
    Language: English
    DOI: 10.1007/978-3-031-11154-9
    URL: https://doi.org/10.1007/978-3-031-11154-9
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 16
    Online Resource
    Online Resource
    Innovation in Medicine and Healthcare : Proceedings of 11th KES-InMed 2023 (2023)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949500604802882
    Format: XVI, 396 p. 143 illus., 106 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819933112
    Series Statement: Smart Innovation, Systems and Technologies, 357
    Content: This book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-23), held in Rome, Italy, on June 14-16, 2023. Covering a number of key areas, including digital IT architecture in healthcare; advanced ICT for medicine and healthcare; biomedical engineering, trends, research and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists and anyone wishing to gain an overview of the latest research in these fields.
    Note: Designing deep learning architectures with neuroevolution. Study case: fetal morphology scan -- Optimized Deployment Planning for Elderly Welfare Facilities Based on Network Theory ~A Case Study of Ibaraki Prefecture's Day Care Welfare Facilities for the Elderly -- Online Parent Counselling in Speech and Language Therapy - the View of the Professionals -- Modelling Competing Risk for Stroke Survival Data -- Artificial Intelligence Chatbots and Conversational Agents - an Overview of Clinical Studies in Health Care -- Challenges and Solutions for Artificial Intelligence Adoption in Healthcare - A Literature Review -- An Explainable Deep Network Framework with Case-based Reasoning Strategies for Survival Analysis in Oncology -- Healthcare under Society 5.0: A Systematic Literature Review of Applications and Case Studies -- Strategic Risk Management for Low-Code Development Platforms with Enterprise Architecture Approach: Case of Global Pharmaceutical Enterprise -- Optimized Deployment Planning for Elderly Welfare Facilities based on Network Theory ~A Case Study of Ibaraki Prefecture's Day Care Welfare Facilities for the Elderly -- Characterizing Groups of Patients with Depression using Clustering Techniques.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819933105
    Additional Edition: Printed edition: ISBN 9789819933129
    Additional Edition: Printed edition: ISBN 9789819933136
    Language: English
    DOI: 10.1007/978-981-99-3311-2
    URL: https://doi.org/10.1007/978-981-99-3311-2
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 17
    Online Resource
    Online Resource
    Human Centred Intelligent Systems : Proceedings of KES-HCIS 2023 Conference (2023)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949500747202882
    Format: X, 178 p. 66 illus., 60 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819934249
    Series Statement: Smart Innovation, Systems and Technologies, 359
    Content: The volume includes papers presented at the International KES Conference on Human Centred Intelligent Systems 2023 (KES HCIS 2023), held in Rome, Italy on June 14-16, 2023. This book highlights new trends and challenges in intelligent systems, which play an important part in the digital transformation of many areas of science and practice. It includes papers offering a deeper understanding of the human-centred perspective on artificial intelligence, of intelligent value co-creation, ethics, value-oriented digital models, transparency, and intelligent digital architectures and engineering to support digital services and intelligent systems, the transformation of structures in digital businesses and intelligent systems based on human practices, as well as the study of interaction and the co-adaptation of humans and systems.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819934232
    Additional Edition: Printed edition: ISBN 9789819934256
    Additional Edition: Printed edition: ISBN 9789819934263
    Language: English
    DOI: 10.1007/978-981-99-3424-9
    URL: https://doi.org/10.1007/978-981-99-3424-9
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 18
    Online Resource
    Online Resource
    Intelligent Decision Technologies : Proceedings of the 15th KES-IDT 2023 Conference (2023)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949500605102882
    Format: XVII, 318 p. 131 illus., 91 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819929696
    Series Statement: Smart Innovation, Systems and Technologies, 352
    Content: This book gathers selected papers from the KES-IDT 2023 Conference, held in Rome, Italy, on June 14-16, 2023. The book presents and discusses the latest research results and generates new ideas in the field of intelligent decision-making. The range of topics discussed is classification, prediction, data analysis, big data, data science, decision support, knowledge engineering and modeling in diverse areas such as finance, cybersecurity, economics, health, management and transportation. The problems in industry 4.0 and IoT are also addressed. The book contains several sections devoted to specific topics, such as intelligent data processing and its applications, high-dimensional data analysis and its applications, multi-criteria decision analysis-theory and applications, large-scale systems for intelligent decision-making and knowledge engineering, decision technologies and related topics in big data analysis of social and financial issues and decision-making theory for economics.
    Note: Data, Information, Knowledge, Wisdom Pyramid Concept Revisited in the Context of Deep Learning -- Multimedia Industrial and Medical Applications Supported by Machine Learning -- Accessibility Measures and Indicators: A Basis for Dynamic Simulations to Improve Regional Planning -- Image-multimodal Data Analysis for Defect Classification: Case Study of Industrial Printing -- Image-multimodal Data Analysis for Defect Classification: Case Study of Semiconductor Defect Patter -- Decision-making Model for Updating Geographical Information Systems for Polish Municipalities Using the Fuzzy TOPSIS Method -- An Ontology-based Collaborative Assessment Analytics Framework to Predict Groups' Disengagement -- On Sensing Non-visual Symptoms of Northern Leaf Blight Inoculated Maize for Early Disease Detection Using IoT/AI -- Inference Analysis of Lightweight CNNs for Monocular Depth Estimation -- Arabic Text-to-speech Service with Syrian Dialect -- A Systematic Review of Sentiment Analysis in Arabizi.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819929689
    Additional Edition: Printed edition: ISBN 9789819929702
    Additional Edition: Printed edition: ISBN 9789819929719
    Language: English
    DOI: 10.1007/978-981-99-2969-6
    URL: https://doi.org/10.1007/978-981-99-2969-6
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  • 19
    Online Resource
    Online Resource
    Advances in Artificial Intelligence-Empowered Decision Support Systems : Papers in Honour of Professor John Psarras (2024)
    Cham :Springer Nature Switzerland :
    Details
    UID:
    almahu_9949773128102882
    Format: XV, 438 p. 191 illus., 134 illus. in color. , online resource.
    Edition: 1st ed. 2024.
    ISBN: 9783031623165
    Series Statement: Learning and Analytics in Intelligent Systems, 39
    Content: Decision Support Systems (DSSs) are Software and Information Systems which make use of various data and business models, employ advanced data analytics procedures, and access extensive databases and data warehouses to facilitate with a decision process or with organizational issues. DSSs have proven to be particularly useful at the strategic level, while they usually require only limited computer-proficiency skills from their users. Although DSSs have been under development and use for several decades, recent advances in both Software Engineering technologies and Artificial Intelligence (AI) methodologies have heralded new avenues for research and development in this field. This book exposes its readers to some of the most significant Advances in Artificial Intelligence-Empowered Decision Support Systems. It consists of an editorial note and an additional sixteen (16) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. The chapters are organized into five parts, namely (i) AI-Empowered DSS in Medical Diagnosis and Biology, (ii) AI-Empowered DSS in Healthcare and Health Insurance, (iii) AI-Empowered DSS in Urban Matters, (iv) Various Applications of AI-Empowered DSS, and (v) Novel AI-Empowered Methodologies in Decision Making. Targeted toward academics, researchers, practitioners, and students in Computer Science, Artificial Intelligence, and Management, this book is also accessible to individuals from other disciplines interested in the cutting-edge developments of AI-empowered DSS technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into the application areas of interest to them.
    Note: 1. Introduction to advances in artificial intelligence-empowered decision support systems -- 2. Artificial Intelligence in Breast Cancer Diagnosis: A Review -- 3. Classification of H&E stained Liver Histopathology Images Using Ensemble Learning Techniques for detection of the level of malignancy of Hepatocellular Carcinoma (HCC) -- 4. Performance Analysis of Deep Learning Models on Chemokines Protein Group Using Structure-Based Pattern Detection -- 5. Dynamic and Personalized Access Control to Electronic Health Records.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031623158
    Additional Edition: Printed edition: ISBN 9783031623172
    Additional Edition: Printed edition: ISBN 9783031623189
    Language: English
    DOI: 10.1007/978-3-031-62316-5
    URL: https://doi.org/10.1007/978-3-031-62316-5
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  • 20
    Online Resource
    Online Resource
    Handbook of Artificial Intelligence in Healthcare : Vol 2: Practicalities and Prospects (2022)
    Cham :Springer International Publishing :
    Details
    UID:
    almahu_9949226756602882
    Format: XVII, 422 p. 89 illus., 48 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030836207
    Series Statement: Intelligent Systems Reference Library, 212
    Content: Artificial Intelligence (AI) has transformed many aspects of our daily activities. Health and well-being of humans stand as one of the key domains where AI has achieved significant progresses, saving time, costs, and potentially lives, as well as fostering economic resilience, particularly under the COVID-19 pandemic environments. This book is a sequel of the Handbook of Artificial Intelligence in Healthcare. The first volume of the Handbook is dedicated to present advances and applications of AI methodologies in several specific areas, i.e., signal, image, and video processing as well as information and data analytics. In this second volume of the Handbook, general practicality challenges and future prospects of AI methodologies pertaining to healthcare and related domains are presented in Part 1 and Part 2, respectively. It is envisaged that the selected studies will provide readers a general perspective on the issues, challenges, and opportunities in designing, developing, and implementing AI-based tools and solutions in the healthcare sector, bringing benefits to transform and advance health and well-being development of humans.
    Note: Intelligent paradigms for diagnosis, prediction and control in healthcare applications -- Artificial intelligence in healthcare practice: How to tackle the "human" challenge -- A statistical analysis handbook for validating artificial intelligence techniques applied in healthcare.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030836191
    Additional Edition: Printed edition: ISBN 9783030836214
    Additional Edition: Printed edition: ISBN 9783030836221
    Language: English
    DOI: 10.1007/978-3-030-83620-7
    URL: https://doi.org/10.1007/978-3-030-83620-7
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