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Displaying results 1 to 5 of 5.

  1. Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications
    ICAIAA 2021
    Contributor: Bundele, Mahesh (HerausgeberIn); Lalwani, Mahendra (HerausgeberIn); Mathur, Garima (HerausgeberIn); Paprzycki, Marcin (HerausgeberIn)
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    This book gathers outstanding research papers presented in the 2nd International Conference on Artificial Intelligence: Advances and Application (ICAIAA 2021), held in Poornima College of Engineering, Jaipur, India during 27-28 March 2021. This book... more

     

    This book gathers outstanding research papers presented in the 2nd International Conference on Artificial Intelligence: Advances and Application (ICAIAA 2021), held in Poornima College of Engineering, Jaipur, India during 27-28 March 2021. This book covers research works carried out by various students such as bachelor, master and doctoral scholars, faculty and industry persons in the area of artificial intelligence, machine learning, deep learning applications in healthcare, agriculture, business, security, etc. It will also cover research in core concepts of computer networks, intelligent system design and deployment, real time systems, WSN, sensors and sensor nodes, SDN, NFV, etc

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Bundele, Mahesh (HerausgeberIn); Lalwani, Mahendra (HerausgeberIn); Mathur, Garima (HerausgeberIn); Paprzycki, Marcin (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811663345
    Edition: 1st ed. 2022
    Series: Algorithms for Intelligent Systems
    Subjects: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Graphics / General; COMPUTERS / Data Processing / Speech & Audio Processing; Circuits & components; Image processing; Künstliche Intelligenz; Maschinelles Sehen, Bildverstehen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Physik der kondensierten Materie (Flüssigkeits- und Festkörperphysik); TECHNOLOGY & ENGINEERING / Electronics / Circuits / General; TECHNOLOGY & ENGINEERING / Engineering (General)
    Scope: 871 Seiten
    Notes:

    Utilising BIM in Construction Safety Planning: A Systematic Review.- Exploring Regulation of Entry in the Construction Sector in South Africa.- Benefits of BIM in Reducing Errors in Indian Construction Projects.- Stakeholder Management in Public-Private-Partnership Projects: A Review.- The Role of a Quantity Surveyor Throughout the Lifecycle of a Construction Project.
  2. Introduction to Transfer Learning
    Algorithms and Practice
    Author: Wang, Jindong; Chen, Yiqiang
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have... more

     

    Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain generalization, and meta-learning. This book offers a comprehensive tutorial on an overview of transfer learning, introducing new researchers in this area to both classic and more recent algorithms. Most importantly, it takes a "student's" perspective to introduce all the concepts, theories, algorithms, and applications, allowing readers to quickly and easily enter this area. Accompanying the book, detailed code implementations are provided to better illustrate the core ideas of several important algorithms, presenting good examples for practice

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811975837
    Edition: 1st ed. 2023
    Series: Machine Learning: Foundations, Methodologies, and Applications
    Subjects: COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Graphics / General; COMPUTERS / Computer Science; COMPUTERS / Data Processing / Speech & Audio Processing; Computer science; Image processing; Machine learning; Maschinelles Lernen; Maschinelles Sehen, Bildverstehen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Theoretische Informatik
    Scope: 329 Seiten
    Notes:

    Part I. Foundations of Transfer Learning.- Chapter 1. Introduction.- Chapter 2. From Machine Learning to Transfer Learning.- Chapter 3. Overview of Transfer Learning Algorithms.- Chapter 4. Instance Weighting Methods.- Chapter 5. Statistical Feature Transformation Methods.- Chapter 6. Geometrical Feature Transformation Methods.- Chapter 7. Theory, Evaluation, and Model Selection.- Part II. Modern Transfer Leaning.- Chapter 8. Pre-training and Fine-tuning.- Chapter 9. Deep Transfer Learning.- Chapter 10. Adversarial Transfer Learning.- Chapter 11. Generalization in Transfer Learning.- Chapter 12. Safe & Robust Transfer Learning.- Chapter 13. Transfer Learning in Complex Environments.- Chapter 14. Low-resource Learning.- Part III. Applications.- Chapter 15. Transfer Learning for Computer Vision.- Chapter 16. Transfer Learning for Natural language Processing.- Chapter 17. Transfer Learning for Speech Recognition.- Chapter 18. Transfer Learning for Activity Recognition.- Chapter 19. Federated Learning for Personalized Healthcare.- Chapter 20. Concluding Remarks.
  3. Proceedings of 3rd International Conference on Artificial Intelligence: Advances and Applications
    ICAIAA 2022
    Contributor: Bundele, Mahesh (HerausgeberIn); Mathur, Garima (HerausgeberIn); Paprzycki, Marcin (HerausgeberIn); Tripathi, Ashish (HerausgeberIn)
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    This book gathers outstanding research papers presented in the 3rd International Conference on Artificial Intelligence: Advances and Application (ICAIAA 2022), held in Poornima College of Engineering, Jaipur, India, during April 23-24, 2022. This... more

     

    This book gathers outstanding research papers presented in the 3rd International Conference on Artificial Intelligence: Advances and Application (ICAIAA 2022), held in Poornima College of Engineering, Jaipur, India, during April 23-24, 2022. This book covers research works carried out by various students such as bachelor, master and doctoral scholars, faculty and industry persons in the area of artificial intelligence, machine learning, deep learning applications in health care, agriculture, and business, security. It also covers research in core concepts of computer networks, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, SDN, NFV, etc

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Bundele, Mahesh (HerausgeberIn); Mathur, Garima (HerausgeberIn); Paprzycki, Marcin (HerausgeberIn); Tripathi, Ashish (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811970405
    Edition: 1st ed. 2023
    Series: Algorithms for Intelligent Systems
    Subjects: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Graphics / General; COMPUTERS / Data Processing / Speech & Audio Processing; Circuits & components; Image processing; Künstliche Intelligenz; Maschinelles Sehen, Bildverstehen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Physik der kondensierten Materie (Flüssigkeits- und Festkörperphysik); TECHNOLOGY & ENGINEERING / Electronics / Circuits / General; TECHNOLOGY & ENGINEERING / Engineering (General)
    Scope: 663 Seiten
    Notes:

    Prediction of Polycystic Ovary Syndrome (PCOS) using Optimized Machine Learning Classifiers.- Literature Review: A Comparative Study of Software Defect Prediction Techniques.- Crop Recommendation using Machine Learning Algorithms and Soil Attributes Data.- Application of Machine Learning Models to Improve the Accuracy of Earnings Management Prediction.- Ensemble of Parametrized Quantum LSTM Neural Networks for Multimodal Stress Monitoring.- Evolutionary Algorithms for Marine Dynamical Systems: Towards Sustainable Renewable Energy Harvesting from O shore Environment.- Comparison of Different Swarm Based Nature Inspired Algorithm for solution of Optimization Problem.- Assessment of Firm's Performance by Employing Text Mining Techniques.- Decisions Prediction Techniques using Language Processing and Learning Algorithms.- Machine Learning-based Tool to Classify Online Toxic Comments.
  4. Man-machine speech communication
    17th National Conference, NCMMSC 2022, Hefei, China, December 15-18, 2022, proceedings
    Contributor: Jia, Jia (HerausgeberIn); Jianqing, Gao (HerausgeberIn); Yu, Kai (HerausgeberIn); Zhenhua, Ling (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Singapore

    This book constitutes the refereed proceedings of the 17th National Conference on Man-Machine Speech Communication, NCMMSC 2022, held in China, in December 2022. The 21 full papers and 7 short papers included in this book were carefully reviewed and... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RS 7445(1765)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

     

    This book constitutes the refereed proceedings of the 17th National Conference on Man-Machine Speech Communication, NCMMSC 2022, held in China, in December 2022. The 21 full papers and 7 short papers included in this book were carefully reviewed and selected from 108 submissions. They were organized in topical sections as follows: MCPN: A Multiple Cross-Perception Network for Real-Time Emotion Recognition in Conversation.- Baby Cry Recognition Based on Acoustic Segment Model, MnTTS2 An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Jia, Jia (HerausgeberIn); Jianqing, Gao (HerausgeberIn); Yu, Kai (HerausgeberIn); Zhenhua, Ling (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9789819924004
    Corporations / Congresses: NCMMSC, 17. (2022, Hefei)
    Series: Communications in computer and information science ; 1765
    Subjects: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Graphics / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / User Interfaces; Digitale Signalverarbeitung (DSP); Elektronik; Image processing; Imaging systems & technology; Künstliche Intelligenz; Maschinelles Sehen, Bildverstehen; Mensch-Computer-Interaktion; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; TECHNOLOGY & ENGINEERING / Electronics / General; User interface design & usability
    Scope: xi, 332 Seiten, Illustrationen, Diagramme
    Notes:

    MCPN: A Multiple Cross-Perception Network for Real-Time Emotion Recognition in Conversation.- Baby Cry Recognition Based on Acoustic Segment Model.- A Multi-feature Sets Fusion Strategy with Similar Samples Removal for Snore Sound Classification.- Multi-Hypergraph Neural Networks for Emotion Recognition in Multi-Party Conversations.- Using Emoji as an Emotion Modality in Text-Based Depression Detection.- Source-Filter-Based Generative Adversarial Neural Vocoder for High Fidelity Speech Synthesis.- Semantic enhancement framework for robust speech recognition.- Achieving Timestamp Prediction While Recognizing with Non-Autoregressive End-to-End ASR Model.- Predictive AutoEncoders are Context-Aware Unsupervised Anomalous Sound Detectors.- A pipelined framework with serialized output training for overlapping speech recognition.- Adversarial Training Based on Meta-Learning in Unseen Domains for Speaker Verification.- Multi-Speaker Multi-Style Speech Synthesis with Timbre and Style Disentanglement.- Multiple Confidence Gates for Joint Training of SE and ASR.- Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Linguistic Information Fusion.- Pre-training Techniques For Improving Text-to-Speech Synthesis By Automatic Speech Recognition Based Data Enhancement.- A Time-Frequency Attention Mechanism with Subsidiary Information for Effective Speech Emotion Recognition.- Interplay between prosody and syntax-semantics: Evidence from the prosodic features of Mandarin tag questions.- Improving Fine-grained Emotion Control and Transfer with Gated Emotion Representations in Speech Synthesis.- Violence Detection through Fusing Visual Information to Auditory Scene.- Mongolian Text-to-Speech Challenge under Low-Resource Scenario for NCMMSC2022.- VC-AUG Voice Conversion based Data Augmentation for Text-Dependent Speaker Verification.- Transformer-based potential emotional relation mining network for emotion recognition in conversation.- FastFoley Non-Autoregressive Foley Sound Generation Based On Visual Semantics.- Structured Hierarchical Dialogue Policy with Graph Neural Networks.- Deep Reinforcement Learning for On-line Dialogue State Tracking.- Dual Learning for Dialogue State Tracking.- Automatic Stress Annotation and Prediction For Expressive Mandarin TTS.- MnTTS2 An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset.
  5. Computational linguistics and intelligent text processing
    Part 2
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 68 papers presented in the two volumes was carefully reviewed and selected... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RN 2835(13397)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Inter-library loan:
    No inter-library loan

     

    The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 68 papers presented in the two volumes was carefully reviewed and selected from 181 submissions. The focus of the conference was on following topics such as computational linguistics and intelligent text and speech processing and others.The papers are organized in the following topical sections: General, Author profiling and authorship attribution, social network analysis, Information retrieval, information extraction, Lexical resources, Machine translation, Morphology, syntax, Semantics and text similarity, Sentiment analysis, Syntax and parsing, Text categorization and clustering, Text generation, and Text mining

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031238031
    Parent title: Computational linguistics and intelligent text processing - Show all bands
    Corporations / Congresses: International Conference on Computational Linguistics and Intelligent Text Processing, 19. (2018, Hanoi)
    Series: Lecture notes in computer science ; 133397
    Subjects: COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Graphics / General; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Database Management / General; Computational linguistics; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Computerlinguistik und Korpuslinguistik; Databases; Datenbanken; Image processing; LANGUAGE ARTS & DISCIPLINES / Linguistics; Machine learning; Maschinelles Lernen; Maschinelles Sehen, Bildverstehen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Society & social sciences
    Scope: xviii, 457 Seiten
    Notes:

    Author profiling and authorship attribution, social network analysis.- Information retrieval, information extraction.- Lexical resources.- Best Paper Award, Third Place.- Machine translation.- Morphology, Syntax.- Best Paper Award, Second Place.- Semantics and text similarity.- Sentiment analysis.- Syntax and parsing.- Text categorization and clustering.- Best Paper Award, First Place.- Text generation.- Text mining.