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Deep Learning for Instance Retrieval: A Survey

Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker et al. • IEEE Transactions on Pattern Analysis and Machine Intelligence (2022)

In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of content creation and sharing has introduced new challenges, par...

OPENALEX Open Access DOI: https://doi.org/10.1109/tpami.2022.3218591

Federated Machine Learning

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...

OPENALEX Open Access DOI: https://doi.org/10.1145/3298981

Artificial Intelligence

Deniz Susar, Vincenzo Aquaro • International Conference on Theory and Practice of Electronic Governance (2019)

Artificial Intelligence (AI) refers to a set of technologies through which "intelligent machines are gaining the ability to learn, improve and make calculated decisions in ways that enable them to perform tasks previously thought to rely so...

OPENALEX DOI: https://doi.org/10.1145/3326365.3326420

Artificial intelligence in educational leadership: a symbiotic role of human-artificial intelligence decision-making

Yinying Wang • Journal of Educational Administration (2021)

Purpose Artificial intelligence (AI) refers to a type of algorithms or computerized systems that resemble human mental processes of decision-making. This position paper looks beyond the sensational hyperbole of AI in teaching and learning. ...

OPENALEX DOI: https://doi.org/10.1108/jea-10-2020-0216

Artificial Intelligence and Digital Pathology: Challenges and Opportunities

Hamid R. Tizhoosh, Liron Pantanowitz • Journal of Pathology Informatics (2018)

In light of the recent success of artificial intelligence (AI) in computer vision applications, many researchers and physicians expect that AI would be able to assist in many tasks in digital pathology. Although opportunities are both manif...

OPENALEX cc-by-nc-sa DOI: https://doi.org/10.4103/jpi.jpi_53_18 PMC: 6289004

EdgeAIGC: Model caching and resource allocation for edge artificial intelligence generated content

Wu Wen, Yibin Huang, Xinxin Zhao, Peiying Zhang et al. • Digital Communications and Networks (2025)

With the rapid development of generative artificial intelligence technology, the traditional cloud-based centralized model training and inference face significant limitations due to high transmission latency and costs, which restrict user-s...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dcan.2025.07.003

Artificial Intelligence-Powered Materials Science

Xiaopeng Bai, Xingcai Zhang • Nano-Micro Letters (2025)

The advancement of materials has played a pivotal role in the advancement of human civilization, and the emergence of artificial intelligence (AI)-empowered materials science heralds a new era with substantial potential to tackle the escala...

OPENALEX cc-by DOI: https://doi.org/10.1007/s40820-024-01634-8 PMC: 11803041

Materials Science

(2025)

Materials science has always occupied an extremely high position in the human development process. As we explore the oceans of stars, various industries have put forward more stringent requirements for the performance of materials, forcing ...

OPENALEX DOI: https://doi.org/10.5772/intechopen.1002828

Coalition of explainable artificial intelligence and quantum computing in precision medicine

Soumyadeep Ray, Pronaya Bhattacharya, Ebrahim A. Mattar, Abhishek Mukhopadhyay • Computational and Structural Biotechnology Journal (2025)

This survey examines the convergence of Explainable Artificial Intelligence (XAI) and Quantum Computing (QC) toward precision medicine. We review developments from 2018 to 2025, summarizing quantum algorithms, quantum-machine-learning model...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.csbj.2025.11.031

Design Considerations for a Distributed Low-Cost Air Quality Sensing System for Urban Environments in Low-Resource Settings

Engineer Bainomugisha, Joel Ssematimba, Deo Okure • Atmosphere (2023)

With rapid urbanization, hazardous environmental exposures such as air, noise, plastic, soil and water pollution have emerged as a major threat to urban health. Recent studies show that 9 out of 10 people worldwide breathe contaminated air ...

DOAJ Open Access (DOAJ) DOI: 10.3390/atmos14020354

The smartHEALTH European Digital Innovation Hub experiences and challenges for accelerating the transformation of public and private organizations within the innovation ecosystem

Dimitrios G. Katehakis, Dimitrios Filippidis, Konstantinos Karamanis, Angelina Kouroubali et al. • Frontiers in Medicine (2024)

Digital innovation can significantly enhance public health services, environmental sustainability, and social welfare. To this end, the European Digital Innovation Hub (EDIH) initiative was funded by the European Commission and national gov...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2024.1503235

The Significance of Machine Learning and Deep Learning Techniques in Cybersecurity: A Comprehensive Review

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

An Explainable AI-Driven Zero-Day Attack Detection Framework for Securing Edge Devices in Smart Cities

Santhiyakumari N., Sabarinathan S., Veerakumar S., Chandraman M. et al. • Journal of Cognitive Human-Computer Interaction (2025)

The rapid proliferation of edge computing in smart cities has enhanced real-time data processing capabilities, but it has also exposed critical vulnerabilities to sophisticated cyber threats such as zero-day attacks. Traditional signature-b...

DOAJ Open Access (DOAJ) DOI: 10.54216/JCHCI.100201

Structural analysis of inclusive metaverse spaces for the sustainability of future smart cities (Case study: Tehran Metropolis)

Leily Bakhtiari • جغرافیا و آینده پژوهی منطقه‌ای (2026)

The Metaverse, as a hypothetical virtual environment utilizing advanced technologies such as Artificial Intelligence and the Internet of Things, has the potential to contribute to the sustainability of future smart cities, enhancing urban e...

DOAJ Open Access (DOAJ) DOI: 10.30466/grfs.2025.56183.1118