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Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan

Xiaoyi Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, Mudassar Rashid et al. • ISPRS International Journal of Geo-Information (2024)

While socioeconomic gradients in regional health inequalities are firmly established, the synergistic interactions between socioeconomic deprivation and climate vulnerability within convenient proximity and neighbourhood locations with heal...

DOAJ Open Access (DOAJ) DOI: 10.3390/ijgi13090330

Machine learning in plant science and plant breeding

Aalt D. J. van Dijk, Gert Kootstra, Willem Kruijer, Dick de Ridder • iScience (2020)

Technological developments have revolutionized measurements on plant genotypes and phenotypes, leading to routine production of large, complex data sets. This has led to increased efforts to extract meaning from these measurements and to in...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.isci.2020.101890 PMC: 7750553

Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification

Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam et al. • IEEE Access (2024)

Electric vehicles (EVs) are commonly recognized as environmentally friendly modes of transportation. They function by converting electrical energy into mechanical energy using different types of motors, which aligns with the sustainable pri...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3400913

Neurotoxicity of PM<sub>2.5</sub>-Bound Multi-Pollutant Mixtures in Parkinson’s Disease: Exploring the <i>INPP5D</i>/SHIP1-PI3K-AKT Axis via an Integrative Multi-Omics Study

Lufei Chen, Chaoxian Dai, Zhenfang Wu, Yuhan Lin et al. • Journal of Xenobiotics (2026)

Accumulating epidemiological evidence links ambient PM2.5 exposure to elevated Parkinson’s disease (PD) risk, yet the neurotoxicity triggered by PM2.5 multi-pollutant mixtures under real co-exposure scenarios remains insufficiently elucidat...

DOAJ Open Access (DOAJ) DOI: 10.3390/jox16060184

Bibliometric Analysis of Health Technology Research: 1990~2020

Luo Xiaomei, Yuduo Wu, Lina Niu, Lucheng Huang • International Journal of Environmental Research and Public Health (2022)

This paper aims to summarize the publishing trends, current status, research topics, and frontier evolution trends of health technology between 1990 and 2020 through various bibliometric analysis methods. In total, 6663 articles retrieved f...

OPENALEX cc-by DOI: https://doi.org/10.3390/ijerph19159044 PMC: 9330553

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications (2024)

Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s00521-023-09366-3

Medical Informatics as a Concept and Field-Based Medical Informatics Research: The Case of Turkey

Muhammet Damar, Tuncay Küme, İbrahim Yüksel, Ali Emre Çetinkol et al. • Düzce Tıp Fakültesi Dergisi (2024)

Aim: This study aimed to evaluate the position of Turkey in the field of Medical Informatics and assess the general structure of research by analyzing Medical Informatics research with bibliometric methods. Material and Methods: In this stu...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.18678/dtfd.1410276

Robot Rights

David J. Gunkel • The MIT Press eBooks (2018)

A provocative attempt to think about what was previously considered unthinkable: a serious philosophical case for the rights of robots. We are in the midst of a robot invasion, as devices of different configurations and capabilities slowly ...

OPENALEX DOI: https://doi.org/10.7551/mitpress/11444.001.0001

Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review

Gustavo A. Mesías-Ruiz, Gustavo A. Mesías-Ruiz, María Pérez-Ortiz, José Dorado et al. • Frontiers in Plant Science (2023)

Crop protection is a key activity for the sustainability and feasibility of agriculture in a current context of climate change, which is causing the destabilization of agricultural practices and an increase in the incidence of current or in...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpls.2023.1143326

Quantum Computing

Kali Charan Rath, Emmanuel Philip Ododo, Mudligiriyappa Niranjanamurthy, Chitta Ranjan Deo et al. • Auerbach Publications eBooks (2025)

We explore the transformative realm of quantum computing, promising exponential speed in problem-solving across various domains, in this chapter. Beginning with a comprehensive overview of quantum computing principles and architectures, the...

OPENALEX DOI: https://doi.org/10.1201/9781003499459-5

Quantum Computing

Mr. M. Rajeshkumar Dr. R. Mariappan Mr. E.Janakiraman • Zenodo (CERN European Organization for Nuclear Research) (2026)

Quantum Computing The twenty-first century has witnessed remarkable advancements in computing technologies, transforming every aspect of modern society. As conventional computing systems approach their physical and computational limits, the...

OPENALEX cc-by DOI: https://doi.org/10.5281/zenodo.20696699

Detect anomalous quartic gauge couplings at muon colliders with quantum kernel k-means

Shuai Zhang, Ke-Xin Chen, Ji-Chong Yang • European Physical Journal C: Particles and Fields (2025)

Abstract In recent years, with the increasing luminosities of colliders, handling the growing amount of data has become a major challenge for future New Physics (NP) phenomenological research. In order to improve efficiency, machine learnin...

DOAJ Open Access (DOAJ) DOI: 10.1140/epjc/s10052-025-14069-1

Forthcoming applications of quantum computing: peeking into the future

Vikas Hassija, Vinay Chamola, Adit Goyal, Salil S. Kanhere et al. • IET Quantum Communication (2020)

We all have been using classical computers for a long time. Quantum computing uses the phenomena of quantum mechanics like superposition and entanglement. Quantum computations can help achieve for the breakthroughs we have been looking for ...

OPENALEX cc-by-nc DOI: https://doi.org/10.1049/iet-qtc.2020.0026

Blockchain in Cybersecurity

Akhil John Mampilly, Vijaya Kittu Manda, Chithirai Pon Selvan • Advances in information security, privacy, and ethics book series (2024)

Blockchain is a promising technology that can help organizations improve their cybersecurity. Blockchain has many inherent features that can help enhance data security, improve threat detection and response, strengthen authentication and au...

OPENALEX DOI: https://doi.org/10.4018/979-8-3693-9225-6.ch003

Harnessing Artificial Intelligence Capabilities to Improve Cybersecurity

Sherali Zeadally, Erwin Adi, Zubair Ahmed Baig, Imran Ali Khan • IEEE Access (2020)

Cybersecurity is a fast-evolving discipline that is always in the news over the last decade, as the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of law enforcement. Over the years, although the origina...

OPENALEX cc-by DOI: https://doi.org/10.1109/access.2020.2968045

Machine learning in cybersecurity: a comprehensive survey

Dipankar Dasgupta, Zahid Akhtar, Sajib Sen • The Journal of Defense Modeling and Simulation Applications Methodology Technology (2020)

Today’s world is highly network interconnected owing to the pervasiveness of small personal devices (e.g., smartphones) as well as large computing devices or services (e.g., cloud computing or online banking), and thereby each passing minut...

OPENALEX DOI: https://doi.org/10.1177/1548512920951275

Cybersecurity

Patrice Seuwou • Routledge eBooks (2025)

In an increasingly digital business landscape, cybersecurity has evolved from a technical concern to a strategic imperative. As organisations shift operations online, the complexities and potential consequences of cyber threats have grown e...

OPENALEX DOI: https://doi.org/10.4324/9781032672458-10