IntechOpen Book Series > Artificial Intelligence > Machine Learning and Data Mining

Research Topic

Machine Learning and Data Mining

PART OF IntechOpen Book Series: Artificial Intelligence

ISSN 2633-1403

Research Topic on Machine Learning and Data Mining - always open for submissions, with an Annual Volume published each calendar year with a dedicated ISSN and ISBN.

Led by Topic Editor Dr. Marco Antonio Aceves-Fernández and an international Editorial Board, all submissions are peer-reviewed and published immediately after acceptance.

always open for submissions

Open Access Peer-reviewed Research

Perspective Chapter: Artificial Intelligence in Security Platform

Hany Helmy, Sherif El Diasty and Hazem Shatila

DOI: 10.5772/intechopen.114020

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning - Recent Findings and Research [Working Title]

Open Access Peer-reviewed Research

Use of Data Mining Algorithms in Chicken Breeding: A Systematic Review

Thobela Louis Tyasi, Mathapo Cyril, Mokoena Kwena, Hlokoe Victoria and Molabe Kagisho

DOI: 10.5772/intechopen.1004389

Part Of Topic: Machine Learning and Data Mining

Part of the book: Association Rule Mining and Data Mining - Recent Advances, New Perspectives and Applications [Working Title]

Open Access Peer-reviewed Research

Transfer Learning and Domain Adaptation in Telecommunications

Konstantinos Vandikas, Farnaz Moradi and Hannes Larsson and Andreas Johnsson

DOI: 10.5772/intechopen.114932

Part Of Topic: Machine Learning and Data Mining

Part of the book: Transfer Learning - Leveraging the Capability of Pre-trained Models Across Different Domains [Working Title]

Open Access Peer-reviewed Research

Comparison of MARS, CART, and Linear Regression Models for Prediction of Body Weight of Non-descript...

Thobela Louis Tyasi, Mathapo Cyril, Mokoena Kwena, Hlokoe Victoria and Molabe Kagisho

DOI: 10.5772/intechopen.1004388

Part Of Topic: Machine Learning and Data Mining

Part of the book: Association Rule Mining and Data Mining - Recent Advances, New Perspectives and Applications [Working Title]

Open Access Peer-reviewed Research

Automated Data-Driven and Stochastic Imputation Method

Or Peretz and Michal Koren

DOI: 10.5772/intechopen.1004160

Part Of Topic: Machine Learning and Data Mining

Part of the book: Association Rule Mining and Data Mining - Recent Advances, New Perspectives and Applications [Working Title]

Open Access Peer-reviewed Research

High-Fidelity Synthetic Data Applications for Data Augmentation

Zhenchen Wang, Barbara Draghi, Ylenia Rotalinti and Darren Lunn and Puja Myles

DOI: 10.5772/intechopen.113884

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning - Recent Findings and Research [Working Title]

Open Access Peer-reviewed Research

Perspective Chapter: Deep Learning Misconduct and How Conscious Learning Avoids It

Juyang Weng

DOI: 10.5772/intechopen.113359

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning - Recent Findings and Research [Working Title]

Open Access Peer-reviewed Research

Generative Adversarial Networks: Applications, Challenges, and Open Issues

Dorcas Oladayo Esan and Pius Adewale Owolawi and Chunling Tu

DOI: 10.5772/intechopen.113098

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning - Recent Findings and Research [Working Title]

Open Access Peer-reviewed Research

Real-Time Inventory Analysis Using Jetson Nano with Object Detection and Analysis

Vinayak Bharadi, Suha Mukadam, Rahul Prasad and Kavyashree Upparakakula and Janhavi Jaygade

DOI: 10.5772/intechopen.112269

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning - Recent Findings and Research [Working Title]

Open Access Peer-reviewed Research

Portfolio Optimization: A Comparative Study

Jaydip Sen and Subhasis Dasgupta

DOI: 10.5772/intechopen.112407

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning - Recent Findings and Research [Working Title]

Open Access Peer-reviewed Research

Perspective Chapter: Dynamic Timing Enhanced Computing for Microprocessor and Deep Learning Accelera...

Jie Gu and Russ Joseph

DOI: 10.5772/intechopen.113296

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning - Recent Findings and Research [Working Title]

Open Access Peer-reviewed Research

Perspective Chapter: Recent Trends in Deep Learning for Conversational AI

Jyotsna Talreja Wassan and Veena Ghuriani

DOI: 10.5772/intechopen.113250

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning - Recent Findings and Research [Working Title]

Open Access Peer-reviewed Research

6G Physical Layer Security

Israt Ara and Brian Kelley

DOI: 10.5772/intechopen.112989

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning - Recent Findings and Research [Working Title]

Open Access Peer-reviewed Research

Evaluation of Generic Deep Learning Building Blocks for Segmentation of Nineteenth Century Documents

Evan Segal and Jesse Spencer-Smith and Douglas C. Schmidt

DOI: 10.5772/intechopen.113110

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning - Recent Findings and Research [Working Title]

Open Access Peer-reviewed Research

Deep Learning Techniques for Liver Tumor Recognition in Ultrasound Images

Delia Mitrea, Sergiu Nedevschi and Mihai Socaciu and Radu Badea

DOI: 10.5772/intechopen.113160

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning - Recent Findings and Research [Working Title]

Open Access Peer-reviewed Research

Data Readiness and Data Exploration for Successful Power Line Inspection

Eldad Antwi-Bekoe, Gerald Tietaa Maale, Ezekiel Mensah Martey, William Asiedu and Gabriel Nyame and Emmanuel Frimpong Nyamaah

DOI: 10.5772/intechopen.112637

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning - Recent Findings and Research [Working Title]