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Academic Articles & Research Papers
Showing 16 of 16 academic articles
Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta • Sensors
(2023)
Neurological disorders have an extreme impact on global health, affecting an estimated one billion individuals worldwide. According to the World Health Organization (WHO), these neurological disorders contribute to approximately six million...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s23135960
Huaqi Zhao, Songnan Zhang, Xiang Peng, Zhengguang Lu et al. • Frontiers in Neurorobotics
(2025)
Object detection is a critical component in the development of autonomous driving technology and has demonstrated significant growth potential. To address the limitations of current techniques, this paper presents an improved object detecti...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fnbot.2024.1484276
Umberto Michelucci • Apress eBooks
(2018)
Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks, in this compr...
OPENALEX
Open Access
DOI: https://doi.org/10.1007/978-1-4842-3790-8
Fangyan Huo, Yihua Li • Discover Artificial Intelligence
(2026)
Abstract This study presents a Data Fusion + Random Forest (RF) framework to predict adult learners’ educational outcomes, such as dropout risk and course completion. Adult lifelong learning is crucial for personal and professional growth, ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01962-1
Xuening Lyu, Rimsa Goperma, Dandan Wang, Chunling Wan et al. • BMC Psychiatry
(2025)
Abstract Background Niacin Skin-Flushing Response (NSR) has emerged as a promising objective biomarker for the precise diagnosis of mental disorders. However, its diagnostic potential has been constrained by the limitations of traditional s...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12888-025-07196-2
P. E. Janani Pappu, B. Devanthan • Discover Artificial Intelligence
(2026)
Abstract Face detection in real-time video streams remains challenging because of dynamic variations in illumination, pose, motion blur, and partial occlusion. This paper proposes an optimized deep learning framework that integrates YOLOv12...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-02275-z
Nasim Shakouri Mahmoudabadi, Charles V. Camp, Afaq Ahmad • Infrastructures
(2026)
Fiber-reinforced polymer (FRP) composites are widely used to strengthen reinforced concrete (RC) columns due to their high strength, durability, and ease of installation. Accurate prediction of the axial capacity of CFRP-strengthened concre...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/infrastructures11050151
N. Kannaiya Raja, E. Laxmi Lydia, Thumpala Archana Acharya, K. Radhika et al. • IEEE Access
(2023)
In recent years, drones or Unmanned Aerial Vehicles (UAVs) got significant attention among researchers because of their extensive application in commercial applications, border surveillance, etc. As the conventional terrestrial communicatio...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3324068
Muhammad Attique Khan, Usama Shafiq, Ameer Hamza, Anwar M. Mirza et al. • BMC Medical Informatics and Decision Making
(2025)
Abstract Deep learning has significantly contributed to medical imaging and computer-aided diagnosis (CAD), providing accurate disease classification and diagnosis. However, challenges such as inter- and intra-class similarities, class imba...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12911-025-02966-0
Andreas Müller, Sarah Guido (2016)
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teac...
OPENALEX
Sun Ping • Materials Research Express
(2026)
Polymer solar cells (PSCs) rely on labor-intensive trial-and-error experiments to optimize power conversion efficiency (PCE), due to complex coupling of molecular electronic properties, blend morphology and fabrication parameters. This work...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/2053-1591/aeaacc
Min-Hwa Choi, Woongchang Yoon • IEEE Access
(2025)
Port congestion and prolonged ship waiting times pose challenges for global trade and increase operational costs and inefficiencies. In this study, a novel machine learning-based predictive approach was proposed to improve port operations b...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3566429
Matthias S. Treder • Frontiers in Neuroscience
(2020)
MVPA-Light is a MATLAB toolbox for multivariate pattern analysis (MVPA). It provides native implementations of a range of classifiers and regression models, using modern optimization algorithms. High-level functions allow for the multivaria...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fnins.2020.00289
Bernd Bischl, Michel Lang, Lars Kotthoff, Patrick Schratz et al. (2013)
Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering and general, example-specific cost-sensiti...
OPENALEX
Open Access
DOI: https://doi.org/10.32614/cran.package.mlr
Qingfeng Sun, Kai Zhang, Yuanlong Xu, Mengmei Luo et al. • BMC Infectious Diseases
(2025)
Abstract Background HIV/TB co-infection presents substantial public-health challenges, showing greater treatment-failure and mortality rates than tuberculosis alone. Recent advances in machine learning (ML) provide a robust means of identif...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12879-025-11998-w
Brad Boehmke, Brandon Greenwell • Chapman & Hall/CRC eBooks
(2019)
Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process a...
OPENALEX
DOI: https://doi.org/10.1201/9780367816377