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Data Science and Network Engineering : Proceedings of ICDSNE 2023 / / edited by Suyel Namasudra, Munesh Chandra Trivedi, Ruben Gonzalez Crespo, Pascal Lorenz
| Data Science and Network Engineering : Proceedings of ICDSNE 2023 / / edited by Suyel Namasudra, Munesh Chandra Trivedi, Ruben Gonzalez Crespo, Pascal Lorenz |
| Autore | Namasudra Suyel |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (525 pages) |
| Disciplina | 621.382 |
| Altri autori (Persone) |
TrivediMunesh Chandra
CrespoRuben Gonzalez LorenzPascal |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Telecommunication
Artificial intelligence - Data processing Artificial intelligence Internet of things Cooperating objects (Computer systems) Communications Engineering, Networks Data Science Artificial Intelligence Internet of Things Cyber-Physical Systems |
| ISBN |
9789819967551
9819967554 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1: Computational Intelligence -- Chapter 1: Evaluation of Hand-crafted Features for the Classification of Spam SMS in Dravidian Languages -- Chapter 2: Training Algorithms for Mixtures of Normalizing Flows -- Chapter 3: Facial Expression Based Music Recommendation System using Deep Learning -- Chapter 4: Exploring Time Series Analysis Techniques for Sales Forecasting -- Chapter 5: Keystroke Dynamics Based Analysis and Classification of Hand Posture using Machine Learning Techniques -- Chapter 6: Teenager Friendly News Classification Using Machine Learning Model -- Chapter 7: Turbulent Particle Swarm Optimization and Genetic Algorithm for Function Maximization -- Chapter 8: An Innovative New Open Computer Vision Framework via Artificial Intelligence with Python -- Chapter 9: Meat Freshness State Prediction using a Novel Fifteen Layered Deep Convolutional Neural Network -- Chapter 10: Object Detection in Autonomous Maritime Vehicles: Comparison between YOLO V8 and EfficientDet. etc. |
| Record Nr. | UNINA-9910760298103321 |
Namasudra Suyel
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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IoT and ML for Information Management: A Smart Healthcare Perspective / / edited by Suyel Namasudra
| IoT and ML for Information Management: A Smart Healthcare Perspective / / edited by Suyel Namasudra |
| Autore | Namasudra Suyel |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (363 pages) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Machine learning Medical informatics Internet of things Computational Intelligence Machine Learning Health Informatics Internet of Things |
| ISBN | 981-9756-24-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Internet of Things -- Introduction to Machine Learning -- IoT and Machine Learning in Smart Healthcare -- Security, Privacy, and Trust Management of IoT and Machine Learning-based Smart Healthcare System -- Machine Learning for Smart Healthcare Management Using IoT -- e-Healthcare Data Management Using Machine Learning and IoT -- Machine Learning and IoT in Precision Healthcare -- Machine Learning and IoT in Health 4.0 -- Smart Healthcare System by Using IoT and Machine Learning -- Predicting and Diagnosis of COVID-19 based on IoT and Machine Learning Algorithm -- Novel Scheme for Managing e-Healthcare Data Using IoT and Cloud Computing -- Lightweight Machine Learning-based Authentication Model for Smart Healthcare System -- Research Challenges and Future Work Directions inSmart Healthcare using IoT and Machine Learning. |
| Record Nr. | UNINA-9910886090203321 |
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Namasudra Suyel
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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