Proceedings of International Conference on Computational Technologies for Research in Data Analytics : ICCTRDA 2025, Volume 1 / edited by Nguyen Gia Nhu, Ajay Jaiswal, Ta Minh Thanh.

Format:

Book

Author/Creator:

Nhu, Nguyen Gia.

Contributor:

Nhu

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 2010

Language:

English

Subjects (All):

Computational intelligence.

Quantitative research.

Artificial intelligence.

Computational Intelligence.

Data Analysis and Big Data.

Artificial Intelligence.

Local Subjects:

Computational Intelligence.

Data Analysis and Big Data.

Artificial Intelligence.

Physical Description:

1 online resource (769 pages)

Edition:

1st ed. 2026.

Place of Publication:

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

Summary:

This book discusses the outcomes of International Conference on Computational Technologies for Research in Data Analytics (ICCTRDA-2025) was held on November 21–22, 2025, at DuyTan University, Da Nang, Vietnam. The conference has attracted many high-quality submissions and stimulated the cutting-edge research discussions among many academic pioneering researchers, scientists, industrial engineers, students with the reception of more than 1200 papers from different parts of the world. Only 180 papers have been accepted and registered with an acceptance ratio of 15% to be published in four volumes of prestigious springer Lecture Notes on Networks and Systems (LNNS) series.

Contents:

Bridging Manual Coding and Automation: A Comparative Study of Data-Driven Analysis Systems

Comparative Performance Analysis of Cancellable Biometric Techniques and Recommendations on their Real-World Applications

Research on Performance Improvement of Personalized Recommendation System for E-commerce Platform Based on Big Data and Collaborative Filtering Algorithm

News-Infused Stock Price Prediction: A GAN-GRU Generator Coupled with CNN Discriminator

Predicting Alzheimer's Disease based on Interpretive Ensemble Learning

Explainable Brain Tumor Classification using CBAM-Augmented ResNet and Counterfactual Visual Explanation

Generative Model to Enhance Image Quality of Microscopy Data

Leaf Disease Detection Using Convolutional Neural Networks for Smart Agriculture

Schedule Risk Control of Power Transmission and Transformation Projects Based on Cost Factors

Health and Personal Care Recommendation Systems with Multimodal Approach

Dynamic Visualization and Analysis of Air Quality Patterns in Indian City Using Power BI

PerceptiPath: Real-Time Obstacle Awareness for the Visually Impaired Using Intelligent Vision

Adaptive Fitness Prediction Using Wearable Technologies and Machine Learning

An Empirical Study on Building a High-precision Forecasting System for Financial Market Trends Based on the PyTorch Deep Learning Framework

Prediction of Earthquake Magnitude Scales Based on A Supervised Learning Neural Network Model.

Notes:

Print version record.

ISBN:

9783032276667