Proceedings of Data Analytics and Management : ICDAM 2025, Volume 9 / edited by Abhishek Swaroop, Bal Virdee, Sérgio Duarte Correia, Zdzislaw Polkowski.

Format:

Book

Author/Creator:

Swaroop, Abhishek.

Contributor:

Virdee, Bal.

Correia, Sérgio Duarte.

Polkowski, Zdzislaw.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1615

Language:

English

Subjects (All):

Computational intelligence.

Quantitative research.

Telecommunication.

Computational Intelligence.

Data Analysis and Big Data.

Communications Engineering, Networks.

Local Subjects:

Computational Intelligence.

Data Analysis and Big Data.

Communications Engineering, Networks.

Physical Description:

1 online resource (737 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2025), held at London Metropolitan University, London, UK, during June 2025. 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 ten volumes.

Contents:

Exploring the impact of the W-MSA approach for Swin Transformer on Medical Leaf Imaging

Enhancing Sales Forecasting Accuracy Through Machine Learning Models in Business Analytics

The Role of Artificial Intelligence in Detecting and Preventing Advanced Phishing Attacks

Object Detection using Deep Learning: A Comparative Study of YOLOv8, YOLOv8+RCNN, and YOLOv8+EfficientDet

A Systematic Review on Advancing Brain Tumors Diagnosis with Artificial Intelligence

Optimizing Financial Decision-Making in Corporate Treasury Management Using Reinforcement Learning and Neural Networks for Liquidity Forecasting

Advanced Machine Learning for Data-Driven Consumer Behavior Prediction in Retail Management

AI-Driven Predictive Analytics and Deep Learning for Demand Forecasting and Inventory Optimization in Supply Chain Management

Predicting Shelf Life of Fruits and Vegetables through Vision Transformer

Comparative Analysis of Steganographic Techniques Using Online Encoding and Decoding Framework

Leaf-Based Disease Detection using Machine Learning Model in Tomato

Multi-Class Network Attack Detection Using Supervised , Unsupervised, and Hybrid Machine Learning on the UNSW-NB15 Dataset

Predicting Consumer Buying Behavior Using Hybrid Machine Learning Models: A Multi- Dimensional Analysis of Online Retail Data

Federated Learning in Cloud Environments Enhancing Privacy and Performance

Face_Secure: A New Era Of Intelligent Door Security.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-04222-4

9783032042224

OCLC:

1546968584