The 1st International Conference on Advanced Intelligent System and Informatics (AISI2015), November 28-30, 2015, Beni Suef, Egypt / / edited by Tarek Gaber, Aboul Ella Hassanien, Nashwa El-Bendary, Nilanjan Dey |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (516 p.) |
Disciplina | 006.33 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Artificial intelligence
Computational intelligence Artificial Intelligence Computational Intelligence |
ISBN | 3-319-26690-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Intelligent systems and informatics (I) -- Multimedia computing and social networks -- Hybrid Intelligent systems -- Cloud Computing and Big Data Mining. |
Record Nr. | UNINA-9910254997903321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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AI-empowered knowledge management / / Soumi Majumder and Nilanjan Dey |
Autore | Majumder Soumi |
Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (126 pages) |
Disciplina | 658.4038 |
Collana | Studies in Big Data |
Soggetto topico |
Knowledge management
Artificial intelligence Computational intelligence |
ISBN | 981-19-0316-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910548180303321 |
Majumder Soumi | ||
Gateway East, Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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AI-Empowered Knowledge Management in Education |
Autore | Chakraborty Sayan |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
Descrizione fisica | 1 online resource (61 pages) |
Altri autori (Persone) |
MisraBitan
DeyNilanjan |
Collana | SpringerBriefs in Applied Sciences and Technology Series |
ISBN | 981-9725-74-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Intro -- Preface -- Contents -- About the Authors -- 1 Introduction -- References -- 2 Literature Review -- References -- 3 Technologies Used in AI-Empowered Knowledge Management -- 3.1 Big Data Analytics for Education -- 3.2 Machine Learning and Predictive Analytics in Education -- 3.3 Role of Explainable AI in Education Systems -- 3.4 Knowledge Representation and Reasoning in Education -- 3.5 Natural Language Processing in Education -- 3.6 Large Language Modeling in Education -- References -- 4 AI-Based Knowledge Management Applications -- 4.1 An Intelligent Teaching and Learning System -- 4.2 Adaptive E-Learning Systems -- 4.3 Chatbots for Education -- References -- 5 AI-Empowered Knowledge Management in Primary and Higher Education -- 5.1 AI in Primary Education -- 5.1.1 Personalized Learning Platforms -- 5.1.2 Intelligent Tutoring Systems -- 5.1.3 Automated Grading and Assessment -- 5.1.4 Educational Data Analytics -- 5.1.5 Parent-Teacher Communication -- 5.1.6 Classroom and Behavior Management -- 5.1.7 Safety and Security -- 5.1.8 AI in Transportation -- 5.1.9 Lesson Planning -- 5.1.10 Classroom Audiovisual Imagery -- 5.1.11 Gamification for Enhanced Student Engagement -- 5.1.12 Staff Scheduling and Substitute Management -- 5.1.13 Test Preparation -- 5.1.14 Cybersecurity -- 5.1.15 Financial Management -- 5.2 AI in Higher Education -- 5.2.1 Enrollment and Retention -- 5.2.2 Exam Integrity -- 5.2.3 Plagiarism Detection -- 5.2.4 Academic Research -- 5.2.5 Analyzing Student Success Metrics -- 5.2.6 Faculty Lecture Transcription -- 5.2.7 Learning Management Systems -- 5.2.8 Virtual Simulation -- References -- 6 Technical and Ethical Challenges and Opportunities -- 6.1 Technical Challenges and Limitations -- 6.2 Ethics of AI in Education -- 6.3 Future Research Directions -- References -- 7 Conclusions. |
Record Nr. | UNINA-9910879597903321 |
Chakraborty Sayan | ||
Singapore : , : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Applications of Bat Algorithm and its Variants / / edited by Nilanjan Dey, V. Rajinikanth |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (182 pages) |
Disciplina | 519.3 |
Collana | Springer Tracts in Nature-Inspired Computing |
Soggetto topico |
Computational intelligence
Algorithms Computational Intelligence Algorithm Analysis and Problem Complexity |
ISBN | 981-15-5097-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. A New Hybrid Binary Algorithm of Bat Algorithm and Differential Evolution for Feature Selection and Classification -- Chapter 2. Multi-objective Optimization of Engineering Design Problems through Pareto-Based Bat Algorithm -- Chapter 3. A Study on the Bat Algorithm Technique To Evaluate The Skin Melanoma Images -- Chapter 4. Multi-Thresholding with Kapur’s Entropy – A Study Using Bat Algorithm with Different Search Operators -- Chapter 5. Application of BAT Inspired Computing Algorithm and Its Variants In Search of Near Optimal Golomb Rulers For WDM Systems: A Comparative Study -- Chapter 6. Levy Flight Opposition Embed Bat Algorithm for Model Order Reduction -- Chapter 7. Application of BAT Algorithm for Detecting Malignant Brain Tumors -- Chapter 8. Bat Algorithm with Applications to Signal, speech and Image Processing- A Review -- Chapter 9. Bat Algorithm Aided System to Extract Tumor in Flair/T2 Modality Brain MRI Slices. . |
Record Nr. | UNINA-9910767528403321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Applications of Cuckoo Search Algorithm and its Variants / / edited by Nilanjan Dey |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (328 pages) |
Disciplina | 025.524 |
Collana | Springer Tracts in Nature-Inspired Computing |
Soggetto topico |
Computational intelligence
Algorithms Mathematical optimization Computational Intelligence Algorithm Analysis and Problem Complexity Continuous Optimization |
ISBN | 981-15-5163-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cuckoo Search Algorithm for Parametric Data Fitting of Characteristic Curves of the Van der Waals Equation of State -- Cuckoo search algorithm with various walks -- Cuckoo search algorithm: Statistical-based optimization approach and engineering applications -- Training a Feed Forward Neural Network using Cuckoo Search -- A Cuckoo Search Algorithm Inspired Membrane Systems to Solve Optimization Problems -- Cuckoo Search for Optimum Design of Real-Sized High-Level Steel Frames. |
Record Nr. | UNINA-9910768467803321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Applications of Firefly Algorithm and its Variants : Case Studies and New Developments / / edited by Nilanjan Dey |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (xiii, 266 pages) : illustrations |
Disciplina | 006.3 |
Collana | Springer Tracts in Nature-Inspired Computing |
Soggetto topico |
Computational intelligence
Algorithms Mathematical optimization Computational Intelligence Algorithm Analysis and Problem Complexity Continuous Optimization |
ISBN | 981-15-0306-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Firefly Algorithm and its Variants in Digital Image Processing: A Comprehensive Review -- Development of firefly algorithm interface for parameter optimization of electrochemical based machining processes -- A Firefly Algorithm-based Approach for Identifying Coalitions of Energy Providers that Best Satisfy the Energy Demand -- Structural damage identification using adaptive hybride volutionary Firefly algorithm -- An automated approach for developing a Convolutional Neural Network using a modified Firefly algorithm for Image Classification. |
Record Nr. | UNINA-9910767559603321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Applied Nature-Inspired Computing: Algorithms and Case Studies / / edited by Nilanjan Dey, Amira S. Ashour, Siddhartha Bhattacharyya |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (281 pages) |
Disciplina | 006.38 |
Collana | Springer Tracts in Nature-Inspired Computing |
Soggetto topico |
Computational intelligence
Algorithms Computer science—Mathematics Computer simulation Computational Intelligence Algorithm Analysis and Problem Complexity Mathematics of Computing Simulation and Modeling |
ISBN | 981-13-9263-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Particle Swarm Optimization of Morphological Filters for Electrocardiogram Baseline Drift Estimation -- Chapter 2. Detection of Breast Cancer using Fusion of MLO and CC View Features Through a Hybrid Technique Based on Binary Firefly algorithm and Optimum Path Forest Classification -- Chapter 3. Recommending Healthy Personalized Daily Menus – A Cuckoo Search based Hyper-Heuristic Approach -- Chapter 4. A Hybrid Bat-Inspired Algorithm for Power Transmission Expansion Planning on a Practical Brazilian Network -- Chapter 5. An Application of Binary Grey Wolf Optimizer (BGWO) variants for Unit Commitment Problem -- Chapter 6. Sensorineural hearing loss identification via discrete wavelet packet entropy and cat swarm optimization -- Chapter 7. Chaotic Variants of Grasshopper Optimisation Algorithm and their application to Protein Structure Prediction -- Chapter 8. Examination of Retinal Anatomical Structures – A Study with Spider Monkey Optimization Algorithm -- Chapter 9. Nature-Inspired Metaheuristics Search Algorithms for Solving the Economic Load Dispatch Problem of Power System: A Comparative Study -- Chapter 10. Parallel-series System Optimization by Weighting Sum Methods and Nature-inspired Computing -- Chapter 11. Development of Artificial Neural Networks trained by Heuristic Algorithms for Prediction of Exhaust Emissions and Performance of a Diesel Engine Fuelled with Biodiesel Blends. |
Record Nr. | UNINA-9910767546503321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence for Coronavirus Outbreak / / by Simon James Fong, Nilanjan Dey, Jyotismita Chaki |
Autore | Fong Simon James |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (84 pages) |
Disciplina | 610.28563 |
Collana | SpringerBriefs in Computational Intelligence |
Soggetto topico |
Computational intelligence
Artificial intelligence Data structures (Computer science) Health informatics Computational Intelligence Artificial Intelligence Data Structures and Information Theory Health Informatics |
ISBN | 981-15-5936-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | An Introduction to COVID-19 -- AI-enabled Technologies that Fight the Coronavirus Outbreak -- AI-empowered Data Analytics for Coronavirus Epidemic Monitoring and Control -- Conclusion. |
Record Nr. | UNINA-9910483209303321 |
Fong Simon James | ||
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Audio Processing and Speech Recognition [[electronic resource] ] : Concepts, Techniques and Research Overviews / / by Soumya Sen, Anjan Dutta, Nilanjan Dey |
Autore | Sen Soumya |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XIV, 96 p. 41 illus., 3 illus. in color.) |
Disciplina | 621.382 |
Collana | SpringerBriefs in Computational Intelligence |
Soggetto topico |
Computer science
Data transmission systems Signal, Image and Speech Processing User Interfaces and Human Computer Interaction Input/Output and Data Communications |
ISBN | 981-13-6098-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Audio Indexing -- Speech processing -- Feature extraction -- Audio Classification -- Conclusion. |
Record Nr. | UNINA-9910350304303321 |
Sen Soumya | ||
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Big data analytics and artificial intelligence against COVID-19 : innovation vision and approach / / Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy, editors |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (XI, 307 p. 169 illus., 130 illus. in color.) |
Disciplina | 610.28563 |
Collana | Studies in Big Data |
Soggetto topico |
Artificial intelligence - Medical applications
Big data |
ISBN | 3-030-55258-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Coronavirus Spreading Forecasts based on Susceptible-Infectious- Recovered and Linear Regression Model -- Virus Graph and COVID-19 Pandemic: A Graph Theory Approach -- Nonparametric Analysis of Tracking Data in the Context of COVID-19 Pandemic -- Visualization and prediction of trends of Covid-19 pandemic during early outbreak in India using DNN and SVR -- The Detection of COVID-19 in CT Medical Images: A Deep Learning Approach -- COVID-19 Data Analysis and Innovative approach in Prediction of Cases -- Detection of COVID-19 using Chest Radiographs with Intelligent Deployment Architecture -- COVID-19 Diagnostics from the Chest X-Ray Image Using Corner-Based Weber Local Descriptor -- Why are Generative Adversarial Networks Vital for Deep Neural Networks? A Case Study on COVID-19 Chest X-Ray Images -- Artificial intelligence against COVID-19: A meta-analysis of current research -- Insights of Artificial Intelligence to Stop Spread of COVID-19 -- AI based Covid19 analysis-A pragmatic approach -- Artificial Intelligence and Psychosocial Support during the COVID-19 Outbreak -- Role of The Accurate Detection of Core Body Temperature in The Early Detection of Coronavirus -- The effect Coronavirus Pendamic on Education into Electronic Multi-Modal Smart Education -- An H2O’s Deep Learning-inspired model based on Big Data analytics for Coronavirus Disease (COVID-19) Diagnosis -- Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique -- Stacking Deep Learning for Early COVID-19 Vision Diagnosis. |
Record Nr. | UNINA-9910733707903321 |
Cham, Switzerland : , : Springer, , [2020] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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