Home »
Academic Articles & Research Papers
Showing 9 of 29 academic articles
Bhagyajyothi Rao, Md Gulzarull Hasan, Bandhavya Putturaya, Asha Kamath et al. • Stats
(2026)
Childhood stunting remains a major public health challenge in India and is influenced by multiple socioeconomic and environmental factors. This ecological study examined district-level correlates of childhood stunting, including Crimes Agai...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/stats9020034
Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, Randy Goebel • IEEE Access
(2024)
Autonomous driving has achieved significant milestones in research and development over the last two decades. There is increasing interest in the field as the deployment of autonomous vehicles (AVs) promises safer and more ecologically frie...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3431437
B.S. Prashanth, Manoj Kumar, Ariful Hoque, Nasser Al Muraqab et al. • International Review of Economics & Finance
(2026)
The development of online banking has brought about an increase in fraudulent operations, which is a major problem for banks. This study delves into the urgent requirement for interpretable, scalable, and top-notch fraud detection systems b...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.iref.2026.104916
Filip Karlo Došilović, Mario Brčić, Nikica Hlupić • International Convention on Information and Communication Technology, Electronics and Microelectronics
(2018)
In the last decade, with availability of large datasets and more computing power, machine learning systems have achieved (super)human performance in a wide variety of tasks. Examples of this rapid development can be seen in image recognitio...
OPENALEX
DOI: https://doi.org/10.23919/mipro.2018.8400040
Hao Xu, Yuntian Chen, Dongxiao Zhang • Advanced Science
(2022)
Abstract The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the “black box” model. Fundamental limitations remain, however, that impede the pac...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/advs.202204723
Ebtisam AlJalaud, Manar Hosny • Mathematics
(2024)
The ‘black box’ nature of machine learning (ML) approaches makes it challenging to understand how most artificial intelligence (AI) models make decisions. Explainable AI (XAI) aims to provide analytical techniques to understand the behavior...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math12233727
David Gunning, Mark Stefik, Jaesik Choi, Tim Miller et al. • Science Robotics
(2019)
Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications....
OPENALEX
Open Access
DOI: https://doi.org/10.1126/scirobotics.aay7120
Urslla Uchechi Izuazu, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae Min Lee • Discover Internet of Things
(2025)
Abstract Deep learning-based intrusion detection systems (DL-IDS) have proven effective in detecting cyber threats. However, their vulnerability to adversarial attacks and environmental noise, particularly in industrial settings, limits pra...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s43926-025-00100-0
Al Amin Biswas • Array
(2024)
Nowadays, artificial intelligence (AI) has been utilized in several domains of the healthcare sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited due to the transparency issue, which is considered ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.array.2024.100345