Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing : IEM-ICDC 2025 / edited by Moutushi Singh, Baisakhi Das, Sanchita Ghosh, Amlan Chakrabarti, João Manuel R. S. Tavares.

Format:

Book

Author/Creator:

Singh, Moutushi.

Contributor:

Singh

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1541

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Cooperating objects (Computer systems).

Internet of things.

Computational Intelligence.

Artificial Intelligence.

Cyber-Physical Systems.

Internet of Things.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Cyber-Physical Systems.

Internet of Things.

Physical Description:

1 online resource (770 pages)

Edition:

1st ed. 2026.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2026.

Summary:

This book includes selected papers presented in 3rd International Conference on Computational Intelligence, Data Science, and Cloud Computing (IEM-ICDC 2025), organized by the Department of Information Technology and Computer Science & Engineering, Institute of Engineering and Management, Kolkata, India, during April 11 – 12, 2025. It covers substantial new findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber-security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.

Contents:

Part I: AI and Robotics

Deep Convolutional Neural Networks for Accurate Crop Disease Classification

Hybrid Deep Learning Strategies for Detection of Deforestation

Enhanced Air Quality Index Forecasting Using Bidirectional LSTM Networks

Scanner-Based Optical Density Measurement Using Stacked Ensemble Learning: A Cost-Effective Approach for Print Quality Control

Endometrial and Ovarian Cancer Target Protein Detection Using Protein Interactions and Sequence

Predicting Students’ MOOC Course Completion using Feature Selection and Ensemble Techniques

Time Efficient Transfer Learning Approach for Waste Detection

Integration of Virtual Lab to Enhance the Quality of Laboratory Experiments in E-Learning Domain

Attribute-Value Prediction From E-Commerce Product Descriptions using Hi-BERT

Student Engagement and Cheating Detection Using Transfer Learning

etc.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9789819694945

OCLC:

1581075236