Proceedings of Data Analytics and Management [electronic resource] : ICDAM 2023, Volume 3 / edited by Abhishek Swaroop, Zdzislaw Polkowski, Sérgio Duarte Correia, Bal Virdee.

Colaborador(es): Swaroop, Abhishek [editor.] | Polkowski, Zdzislaw [editor.] | Correia, Sérgio Duarte [editor.] | Virdee, Bal [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Networks and Systems ; 787Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XXVI, 687 p. 328 illus., 257 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819965502Tema(s): Computational intelligence | Telecommunication | Data protection | Computational Intelligence | Communications Engineering, Networks | Data and Information SecurityFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
Chapter 1: Enhancing Computational Thinking Based on Virtual Robot of Artificial Intelligence Modelling in The English Language Classroom -- Chapter 2: Software Change Prediction Model using Ensemble Learning -- Chapter 3: Discerning Monkeypox from other Viruses of the Poxviridae Family in a Deep Learning Paradigm -- Chapter 4: An Exploratory Study to Classify Brain Tumor Using Convolutional Neural Networks -- Chapter 5: Skin Cancer Detection with Edge Devices using YOLOv7 Deep CNN -- Chapter 6: Effective Image Captioning using Multi-Layer LSTM with Attention Mechanism -- Chapter 7: A Hybrid Approach for Sentiment Analysis using Game Theory in Word Sense Disambiguation -- Chapter 8: A Sequential News Capture and Summarization Model (SNCSM) -- Chapter 9: A Novel Explainable Artificial Intelligence Based Deep Reinforcement Learning for Secured Smart City Applications -- Chapter 10: A Review of IoT Security Solutions using Machine Learning and Deep Learning. etc.
En: Springer Nature eBookResumen: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.
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Chapter 1: Enhancing Computational Thinking Based on Virtual Robot of Artificial Intelligence Modelling in The English Language Classroom -- Chapter 2: Software Change Prediction Model using Ensemble Learning -- Chapter 3: Discerning Monkeypox from other Viruses of the Poxviridae Family in a Deep Learning Paradigm -- Chapter 4: An Exploratory Study to Classify Brain Tumor Using Convolutional Neural Networks -- Chapter 5: Skin Cancer Detection with Edge Devices using YOLOv7 Deep CNN -- Chapter 6: Effective Image Captioning using Multi-Layer LSTM with Attention Mechanism -- Chapter 7: A Hybrid Approach for Sentiment Analysis using Game Theory in Word Sense Disambiguation -- Chapter 8: A Sequential News Capture and Summarization Model (SNCSM) -- Chapter 9: A Novel Explainable Artificial Intelligence Based Deep Reinforcement Learning for Secured Smart City Applications -- Chapter 10: A Review of IoT Security Solutions using Machine Learning and Deep Learning. etc.

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.

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