Proceedings of Data Analytics and Management : ICDAM 2023, Volume 3 (Lecture Notes in Networks and Systems)

Swaroop, Abhishek (EDT)/ Polkowski, Zdzislaw (EDT)/ Correia, Sérgio Duarte (EDT)

Springer Verlag, Singapore（2023/12発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 490 p.
• 言語 ENG
• 商品コード 9789819965496

Full Description

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK,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.

Contents

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.