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Academic Articles & Research Papers
Showing 20 of 1,051 academic articles
Aarush Saxena • International Journal for Research in Applied Science and Engineering Technology
(2022)
Abstract: The field of machine learning has taken a dramatic twist in re- cent times, with the rise of the Artificial Neural Network (ANN). These biologically inspired computational models can far exceed the per- performance of previous for...
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Open Access
DOI: https://doi.org/10.22214/ijraset.2022.47789
Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong • ACM Transactions on Intelligent Systems and Technology
(2019)
Today’s artificial intelligence still faces two major challenges. One is that, in most industries, data exists in the form of isolated islands. The other is the strengthening of data privacy and security. We propose a possible solution to t...
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Open Access
DOI: https://doi.org/10.1145/3298981
Sašo Džeroski, Luc De Raedt, Stefan Wrobel (2005)
This volume, which is also available online from http://www.machinelearning.org, contains the papers accepted for presentation at ICML-2005, the 22nd lnternational Conference on Machine Learning, which was held at the University of Bonn in ...
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Pratik Gajane, Pechenizkiy, Mykola • arXiv (Cornell University)
(2017)
Machine learning algorithms for prediction are increasingly being used in critical decisions affecting human lives. Various fairness formalizations, with no firm consensus yet, are employed to prevent such algorithms from systematically dis...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1710.03184
• Journal of Machine Learning Technologies
(2024)
The Journal of Machine Learning Technologies, ISSN: 2229–3981 & ISSN: 2229-399X, aims to publish all the latest and outstanding research articles, reviews and letters in all areas of Machine Learning Technologie. Each issue contains a serie...
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DOI: https://doi.org/10.9735/2229-3981
Masoud Yazdani • Chapman & Hall eBooks
(1986)
Part 1. Principles of artificial intelligence, John Campbell. Part 2 Tools and techniques: artificial intelligence programming environments and the POPLOG system, John Gibson LISP, lists and pattern-matching, Tony Hasemer. Part 3 Applicatio...
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Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi, Keith T. Butler • Accounts of Materials Research
(2022)
High Resolution Image Download MS PowerPoint Slide Conspectus Machine learning has become a common and powerful tool in materials research. As more data become available, with the use of high-performance computing and high-throughput experi...
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DOI: https://doi.org/10.1021/accountsmr.1c00244
Jirawat Tangpanitanon, Supanut Thanasilp, Ninnat Dangniam, Marc-Antoine Lemonde et al. • Physical Review Research
(2020)
Parametrized quantum evolution is the main ingredient in variational quantum algorithms for near-term quantum devices. In digital quantum computing, it has been shown that random parametrized quantum circuits are able to express complex dis...
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Open Access (DOAJ)
DOI: 10.1103/PhysRevResearch.2.043364
Vu Tuan Hai, Nguyen Tan Viet, Jesus Urbaneja, Nguyen Vu Linh et al. • Machine Learning: Science and Technology
(2024)
Quantum compilation is the process of converting a target unitary operation into a trainable unitary represented by a quantum circuit. It has a wide range of applications, including gate optimization, quantum-assisted compiling, quantum sta...
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Open Access (DOAJ)
DOI: 10.1088/2632-2153/ad9705
Hashim Hussain, Shailendra Mishra, Reem Alshenaifi • PLoS ONE
(2026)
Healthcare IoT systems increasingly rely on interconnected, resource-constrained devices that are vulnerable to both classical and emerging quantum-enabled cyber threats, but introduced heightened cybersecurity risks, particularly from emer...
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Open Access (DOAJ)
DOI: 10.1371/journal.pone.0348600
Salik Siddiqui, Justin Holzer, Joshua Malcarne, Galahad M. B. Wernsing et al. • IEEE Access
(2025)
While quantum computing is already being employed in different domains to solve large scale and highly complex optimization problems, the wireless communications community has only recently begun exploring the potential of Quantum Machine L...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3572416
Ivana Nikoloska, Osvaldo Simeone • Frontiers in Quantum Science and Technology
(2024)
Simulation is an indispensable tool in both engineering and the sciences. In simulation-based modeling, a parametric simulator is adopted as a mechanistic model of a physical system. The problem of designing algorithms that optimize the sim...
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Open Access (DOAJ)
DOI: 10.3389/frqst.2024.1394533
Dean Brand, Domenica Dibenedetto, Francesco Petruccione • Physical Review Research
(2026)
We present a theoretical framework for a quantized memristive Leaky Integrate-and-Fire (LIF) neuron, uniting principles from neuromorphic engineering and open quantum systems. Starting from a classical memristive LIF circuit, we apply canon...
DOAJ
Open Access (DOAJ)
DOI: 10.1103/y61v-2bxf
Kamal Hossain Nahin, Jamal Hossain Nirob, Akil Ahmad Taki, Md Ashraful Haque et al. • Scientific Reports
(2025)
Abstract This paper introduces the design and exploration of a compact, high-performance multiple-input multiple-output (MIMO) antenna for 6G applications operating in the terahertz (THz) frequency range. Leveraging a meta learner-based sta...
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Open Access (DOAJ)
DOI: 10.1038/s41598-025-88174-2
Chun-Sung Jao, Chiung-Yin Chang, Kun-Han Lee, Hsiao-Hsuan Lin et al. • APL Machine Learning
(2026)
Reconstructing multidimensional vector fields from path-integrated projection data is a fundamental challenge in high-energy-density physics, particularly when experimental sources exhibit spectral broadening and shot-to-shot jitter. We pre...
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Open Access (DOAJ)
DOI: 10.1063/5.0331075
Maad Mijwil, Israa Ezzat Salem, Marwa M. Ismaeel • Iraqi Journal for Computer Science and Mathematics
(2023)
People in the modern era spend most of their lives in virtual environments that offer a range of public and private services and social platforms. Therefore, these environments need to be protected from cyber attackers that can steal data o...
DOAJ
Open Access (DOAJ)
DOI: 10.52866/ijcsm.2023.01.01.008
Rafał Kozik, Marek Pawlicki, Michał Choraś, Witold Pedrycz • Complexity
(2019)
Network and information security are regarded as some of the most pressing problems of contemporary economy, affecting both individual citizens and entire societies, making them a highlight for homeland security. Innovative approaches to ha...
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Open Access (DOAJ)
DOI: 10.1155/2019/5826737
Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de, Wissam Mallouli et al. • Digital Threats Research and Practice
(2022)
Machine Learning (ML) represents a pivotal technology for current and future information systems, and many domains already leverage the capabilities of ML. However, deployment of ML in cybersecurity is still at an early stage, revealing a s...
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Open Access
DOI: https://doi.org/10.1145/3545574
Fábio Eid Morooka, Adalberto Manoel Junior, Tiago F. A. C. Sigahi, Jefferson de Souza Pinto et al. • Machine Learning and Knowledge Extraction
(2023)
Applications of deep learning (DL) in autonomous vehicle (AV) projects have gained increasing interest from both researchers and companies. This has caused a rapid expansion of scientific production on DL-AV in recent years, encouraging res...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/make5030041
Aditya Kuppa, Nhien‐An Le‐Khac • IEEE Transactions on Information Forensics and Security
(2021)
Machine Learning methods are playing a vital role in combating ever-evolving threats in the cybersecurity domain. Explanation methods that shed light on the decision process of black-box classifiers are one of the biggest drivers in the suc...
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DOI: https://doi.org/10.1109/tifs.2021.3117075