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  • 1
    UID:
    almahu_9949450153102882
    Format: XII, 193 p. 78 illus., 59 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031223716
    Series Statement: Intelligent Systems Reference Library, 236
    Content: This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. This book is directed toward professors, researchers, scientists, engineers and students in Machine Learning-related disciplines, as the hybridism presented, and the case studies described provide researchers with successful approaches and initiatives to efficiently address complex classification or regression problems. It is also directed toward readers who come from other disciplines, including Engineering, Medicine or Education Sciences, and are interested in becoming versed in some of the most recent Machine Learning-based technologies. Extensive lists of bibliographic references at the end of each chapter guide the readers to probe further into the application areas of interest to them.
    Note: Editorial Note -- Artificial Intelligence as Dual-Use Technology -- Diabetic Retinopathy Detection using Transfer and Reinforcement Learning with effective image preprocessing and data augmentation techniques. .
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031223709
    Additional Edition: Printed edition: ISBN 9783031223723
    Additional Edition: Printed edition: ISBN 9783031223730
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    UID:
    almahu_9949578753902882
    Format: XXII, 556 p. 226 illus., 203 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031386510
    Series Statement: Learning and Analytics in Intelligent Systems, 33
    Content: Advances in Computational Vision and Robotics contains research papers from diverse field of engineering, computer science, social and bio-medical science. This book contains various research articles from the following domain: i. Pattern recognition and Robotic Vision. ii. Artificial Intelligence and Deep Learning application. iii. Big Data Application in Robotics. iv. Deep Learning and Neural Network. Authors from the area of Particle Swarm Optimization, Defect Detection, Gesture Information Collection, Image Processing and Remote Sensing, Melody Recognition, Convolution Neural Network and Satellite Image processing etc. have contributed their research outcomes.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031386503
    Additional Edition: Printed edition: ISBN 9783031386527
    Additional Edition: Printed edition: ISBN 9783031386534
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 3
    UID:
    almahu_9949372171502882
    Format: XII, 329 p. 242 illus., 102 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783031082023
    Series Statement: Artificial Intelligence-Enhanced Software and Systems Engineering, 2
    Content: This book provides a structured overview of artificial intelligence-empowered applied software engineering. Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions lead current research towards the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. This book at hand, devoted to Novel Methodologies to Engineering Smart Software Systems Novel Methodologies to Engineering Smart Software Systems, constitutes the first volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in (i) Artificial Intelligence-Assisted Software Development and (ii) Software Engineering Tools to develop Artificial Intelligence Applications, as well as a detailed Survey of Recent Relevant Literature. Professors, researchers, scientists, engineers and students in artificial intelligence, software engineering and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.
    Note: Introduction to Handbook on Artificial Intelligence-empowered Applied Software Engineering - VOL.1: Novel Methodologies to Engineering Smart Software Systems -- Part I: Survey of Recent Relevant Literature -- Synergies Between Artificial Intelligence and Software Engineering: Evolution and Trends -- Part II: Artificial Intelligence-Assisted Software Development -- Towards Software Co-Engineering by AI and Developers -- Generalizing Software Defect Estimation using Size and Two Interaction Variables -- Building of an Application Reviews Classifier by BERT and Its Evaluation -- Harmony Search-enhanced Software Architecture Reconstruction -- Enterprise Architecture-based Project Model for AI Service System Development -- Part III: Software Engineering Tools to develop Artificial Intelligence Applications -- Requirements Engineering Processes for Multi-Agent Systems -- Specific UML-Derived Languages for Modeling Multi-Agent Systems -- Methods for ensuring the overall safety of machine learning systems -- MEAU: A Method for the Evaluation of the Artificial Unintelligence -- Quantum Computing meets Artificial Intelligence: Innovations & Challenges. .
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031082016
    Additional Edition: Printed edition: ISBN 9783031082030
    Additional Edition: Printed edition: ISBN 9783031082047
    Language: English
    Subjects: Computer Science
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  • 4
    UID:
    almahu_9949254905002882
    Format: XVII, 356 p. 159 illus., 120 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030930523
    Series Statement: Learning and Analytics in Intelligent Systems, 24
    Content: As new technological challenges are perpetually arising, Artificial Intelligence research interests are focusing on the incorporation of improvement abilities into machines in an effort to make them more efficient and more useful. Recent reports indicate that the demand for scientists with Artificial Intelligence skills significantly exceeds the market availability and that this shortage will intensify further in the years to come. A potential solution includes attracting more women into the field, as women currently make up only 26 percent of Artificial Intelligence positions in the workforce. The present book serves a dual purpose: On one hand, it sheds light on the very significant research led by women in areas of Artificial Intelligence, in hopes of inspiring other women to follow studies in the area and get involved in related research. On the other hand, it highlights the state-of-the-art and current research in selected Artificial Intelligence areas and applications. The book consists of an editorial note and an additional thirteen (13) chapters, all authored by invited women-researchers who work on various Artificial Intelligence areas and stand out for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Paradigms, (ii) Advances in Artificial Intelligence Applications, and (iii) Recent Trends in Artificial Intelligence Areas and Applications. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the Artificial Intelligence areas of interest to them.
    Note: Chapter 1: Introduction To Advances In Selected Artificial Intelligence Areas -- Chapter 2: Introduction To Advances In Selected Artificial Intelligence Areas -- Chapter 3: Application of Rough Set-Based Characterisation of Attributes in Feature Selection and Reduction.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030930516
    Additional Edition: Printed edition: ISBN 9783030930530
    Additional Edition: Printed edition: ISBN 9783030930547
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 5
    UID:
    almahu_9949420160502882
    Format: XVIII, 398 p. 150 illus., 107 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031054914
    Series Statement: Smart Innovation, Systems and Technologies, 314
    Content: This book aims to attract researchers and practitioners who are working in information technology and computer science. This edited book is about basics and high-level concepts regarding blockchain technology and application, multimedia security, information processing, security of network, cloud and IoT, cryptography and information hiding, cyber-security and evidence investigations, and learning and intelligent computing. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure, and privacy-aware mechanisms in high-performance computing and IoT applications. The book serves as a useful guide for industry persons and also helps beginners to learn things from basic to advance in the area of better computing paradigm. Our aim is intended to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results in security-related areas. We believe that this book not only presents novel and interesting ideas but also will stimulate interesting discussions from the participants and inspire new ideas.
    Note: Reversible Data Hiding in Encrypted Image Based on MSB Inversion -- Comments on the Visual Binary QR Code -- NLP-based Hardware Solution for Censoring Audio on Over-the-top (OTT) Media Services -- Efficient Steganographic Method Based on Modulo Cube -- Reversible Data Hiding Based on Bidirectional Generalized Integer Transform -- An RFID Ownership Transfer based on Multiple Owners with Different Weights -- Fuzzy C-Means based Feature Selection Mechanism for Wireless Intrusion Detection -- Real Time Drowsiness Detection Based on Facial Dynamic Features -- Collision Avoidance in Crowded Zone using Adversarial Reinforcement Learning -- Reconfigurable PM2.5 Sensor Green Deployment Mechanism Based on Blockchain Technology.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031054907
    Additional Edition: Printed edition: ISBN 9783031054921
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 6
    UID:
    almahu_9949387846402882
    Format: XII, 197 p. 94 illus., 73 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783031076503
    Series Statement: Artificial Intelligence-Enhanced Software and Systems Engineering, 3
    Content: Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions, lead current research toward the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. The book at hand, devoted to Smart Software Applications in Cyber-Physical Systems, constitutes the second volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in Smart Software Applications in (i) Scientific Document Processing, (ii) Enterprise Modeling, (iii) Education, (iv) Health care and Medicine, and (v) Infrastructure Monitoring. Professors, researchers, scientists, engineers, and students in artificial intelligence, software engineering, and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.
    Note: Editorial Note -- Part I: Smart Software Applications in Scientific Document Processing -- Detection, Extraction and SPN Representation of Pseudo-Algorithms in Scientific Documents -- A Recommender Engine for Scientific Paper Peer-Reviewing System -- Part II: Smart Software Applications in Enteprise Modeling -- Visualization of Digital-Enhanced Enterprise Modeling -- Know-linking: When Aachine Learning Meets Organizational Tools Analysis to Generate Shared Knowledge in Large Companies -- Changes in Human Resources Management with Artificial Intelligence -- Part III: Smart Software Applications in Education -- Promoting Reading Among Teens: Analyzing the Emotional Preferences of Teenage Readers -- A Multi-Institutional Analysis of CS1 Students' Common Misconceptions of Key Programming Concepts -- Part IV: Smart Software Applications in Healthcare and Medicine -- Clustering-based Scaling for Healthcare Data -- Normative and Fuzzy components of Medical AI Applications -- Part V: Smart Software Applications in Infrastructure Monitoring -- Adaptive Structural Learning of Deep Belief Network and its Application to Real Time Crack Detection of Concrete Structure using Drone.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031076497
    Additional Edition: Printed edition: ISBN 9783031076510
    Additional Edition: Printed edition: ISBN 9783031076527
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 7
    UID:
    almahu_9949335078402882
    Format: XII, 342 p. 162 illus., 130 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811910579
    Series Statement: Smart Innovation, Systems and Technologies, 277
    Content: The book presents selected papers from the 17th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, in conjunction with the 14th International Conference on Frontiers of Information Technology, Applications and Tools, held on October 29 - 31, 2021, in Kaohsiung, Taiwan. It is divided into two volumes and discusses latest research outcomes in the field of information technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and Internet of things, and their applications.
    Note: Chapter 1. Variational Autoencoder based Deep Neural Network for Coronary Heart Disease Risk Prediction -- Chapter 2. Simulation and analysis of steering mechanical characteristics between tire and soil -- Chapter 3. Design analysis and optimization of the anti-collision structure of the four-wheel electric scooter -- Chapter 4. Design and optimization of electric vehicle seat -- Chapter 5. Design and optimization of spring in damping system of new energy electric vehicle -- Chapter 6. Simulation analysis and optimization of body structure and strength of the four-wheel low-speed electric vehicle -- Chapter 7. Small object detection based on multi-source data learning fusion network -- Chapter 8. Design and fault research of relay protection for shore power -- Chapter 9. Five Phases Algorithm for Global Optimization -- Chapter 10. An Ultra-Fast Static Hand Gesture Recognition Method for Finger-Guessing Robots -- Chapter 11. Simple Linear Iterative Clustering with Efficiency -- Chapter 12. Perceptual Hashing Based on Sal ent Region and NMF -- Chapter 13. Establishment and Simulation of Forest Fire Spreading Model Based on Cellular Automata -- Chapter 14. Expressway Traffic Speed Prediction Method Based on CNN_Bi-LSTM model via ETC Data -- Chapter 15. How consumers' lending knowledge and self-efficacy drive their intention: A model of TAM within information asymmetric condition. etc.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811910562
    Additional Edition: Printed edition: ISBN 9789811910586
    Additional Edition: Printed edition: ISBN 9789811910593
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 8
    UID:
    almahu_9949435609802882
    Format: XIII, 372 p. 214 illus., 191 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031205859
    Series Statement: Artificial Intelligence-Enhanced Software and Systems Engineering, 4
    Content: Evolving technological advances in Artificial Intelligence-empowered Software present significant potential to lead e-Government towards more collective efforts, exchange of experiences on best practices both at national and international levels and dissemination of secluded administrative knowledge. In this book, novel semantic web-based and linked open data-based approaches are developed for the modelling and management of the huge volume of administrative data and the procedures followed by public sector bodies and for the production and management of relevant administrative knowledge. The book consists of eight chapters, each of which includes relevant bibliographic references for deeper probing. Appendices complement this work with sections of configuration files of the applications developed and used. Professors, researchers, scientists, engineers and students in artificial intelligence, e-government and other computer science-related disciplines are expected to benefit greatly from it, along with non-specialist readers from other disciplines who are interested in getting versed in the recent developments in e-government.
    Note: Introduction -- e-Government: The concept, the environment & critical issues for the Back-Office systems -- Semantic Web: The evolution of the Web & the opportunities for the e-Government -- Representation and knowledge management for the benefit of e-Government - Opportunities through the tools of the Semantic Web -- Towards Open Data and Open Governance - Representation of knowledge and Triplification of data in the field of the Greek Open Government Data -- Production and publication of linked open data: The case of open ontologies -- Education and E-Government - The case of a Moodle based platform for the education and evaluation of civil servants -- Conclusions - Future Work.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031205842
    Additional Edition: Printed edition: ISBN 9783031205866
    Additional Edition: Printed edition: ISBN 9783031205873
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 9
    UID:
    almahu_9949534786402882
    Format: XI, 410 p. 155 illus., 117 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819906055
    Series Statement: Smart Innovation, Systems and Technologies, 341
    Content: This book presents selected papers from the 18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, in conjunction with the 15th International Conference on Frontiers of Information Technology, Applications, and Tools, held on December 16-18, 2022, in Kitakyushu, Japan. It is divided into two volumes and discusses latest research outcomes in the field of information technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and internet of things, and their applications.
    Note: Chapter 1. Power Quality Disturbance Identification in High Noise Environment Based on Feature Fusion -- Chapter 2. Binary Tumbleweed Algorithm for Application of Feature Selection -- Chapter 3. New Optimization Method Based on Binary Tumbleweed Algorithm -- Chapter 4. Chaos Rafflesia Optimization Algorithm -- Chapter 5. A Brief Overview of Recent Energy Saving Researches in Smart Homes -- Chapter 6. An overview of recent research on IoT-based energy management system in smart homes -- Chapter 7. Data Masking Analysis based on Masked Autoencoders Architecture for Leaf Diseases Classification -- Chapter 8. Chinese Named Entity Recognition Based BERT-Decoder-CRF in Turbine Generator Set Fault Diagnosis -- Chapter 9. Comparison of different Part-of-Speech tagging techniques for Mongolian -- Chapter 10. Parallel Binary QUasi-Affine Transformation Evolution (QUATRE) Algorithm -- Chapter 11. Acceleration intention recognition of pure electric vehicle based on SVM and optimization algorithm -- Chapter 12. Quantitative Analysis of Coordination between Intercity Rail Transit and Urban Planning based on Fractal Theory -- Chapter 13. Modeling and Simulation of Continuous Damping Control Shock Absorber -- Chapter 14. Multi-group Adaptive Fish Migration Optimization Algorithm -- Chapter 15. A Solution to Reactive Distributed Power Optimization based on Enhancing Particle Swarms Optimization. etc.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819906048
    Additional Edition: Printed edition: ISBN 9789819906062
    Additional Edition: Printed edition: ISBN 9789819906079
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 10
    UID:
    almahu_9949865056802882
    Format: X, 432 p. 148 illus., 117 illus. in color. , online resource.
    Edition: 1st ed. 2024.
    ISBN: 9783031674266
    Series Statement: Lecture Notes in Networks and Systems, 1093
    Content: This book includes extended versions of selected research works that were presented at the 14th International Conference on Information, Intelligence, Systems, and Applications (IISA2023), Volos, Greece, 10-12 July 2024 along with additional relevant papers by invited authors. Information is widely available and accessible but frequently leads to information overload and overexposure and the effort for coding, storing, hiding, securing, transmitting, and retrieving it may be excessive. Intelligence, inspired by biological and other paradigms, is required to manage information and extract knowledge from it. Information and multimedia systems, with an increasing level of intelligence, are being developed that incorporate these advances. As a result, new technologies, protocols, and novel applications are emerging. In turn, the novel applications lead to the collection of new information, and the "Information à Intelligence à Systems à Applications" circle is repeated at ever higher levels. These works cover a broad spectrum of topics from both novelties in theory and advanced methodologies as well as novel applications in energy, agriculture, medicine, forensics, healthcare, education, tourism, inspection, traffic, and software engineering. Targeted towards academicians, researchers, practitioners, and students in computer science and artificial intelligence, this work is also accessible to individuals from other disciplines interested in the cutting-edge developments of information, intelligence, systems, and applications. 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: Introduction To Advances In Information Intelligence Systems And Applications -- A Multi Dimensional Survey on Learning from Imbalanced Data -- An Expert System For Decision Making In The Face Of Imprecise, Inconsistent And Paracomplete Data Metaverse Security Application Using DLP -- Machine Learning and Human Unlearning -- Circumstance Evaluation Using Extreme Value Analysis on Charging Station Data The case of DEI blue in Greece -- Explainability Spectrum Analysis of Weather Sequences in Short Term Load Forecasting -- Machine Learning and Thermal Imaging in Precision Agriculture -- Reinforcement Learning Agents in Precision Agriculture.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031674259
    Additional Edition: Printed edition: ISBN 9783031674273
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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