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Analysis of Water Pollution Using Different Physicochemical Parameters: A Study of Yamuna River

Rohit Sharma, Raghvendra Kumar, Suresh Chandra Satapathy, Nadhir Al-Ansari et al. • Frontiers in Environmental Science (2020)

The Yamuna river has become one of the most polluted rivers in India as well as in the world because of the high-density population growth and speedy industrialization. The Yamuna river is severely polluted and needs urgent revival. The Yam...

DOAJ Open Access (DOAJ) DOI: 10.3389/fenvs.2020.581591

Developments and future prospects of personalized medicine in head and neck squamous cell carcinoma diagnoses and treatments

Shalindu Malshan Jayawickrama, Piyumi Madhushani Ranaweera, Ratupaskatiye Gedara Gunaratnege Roshan Pradeep, Yovanthi Anurangi Jayasinghe et al. • Cancer Reports (2024)

Abstract Background Precision healthcare has entered a new era because of the developments in personalized medicine, especially in the diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC). This paper explores the dynamic...

DOAJ Open Access (DOAJ) DOI: 10.1002/cnr2.2045

ARTIFICIAL INTELLIGENCE FOR THE REAL WORLD

• International Research Journal of Modernization in Engineering Technology and Science (2023)

Artificial intelligence (A.I.) is a multidisciplinary field aimed at automating tasks that currently need human intelligence.Despite its lack of general familiarity, artificial intelligence (AI) is a technology that is revolutionizing every...

OPENALEX Open Access DOI: https://doi.org/10.56726/irjmets42512

Bayesian Artificial Intelligence

Kevin B. Korb, Ann E. Nicholson • Chapman & Hall/CRC eBooks (2003)

As the power of Bayesian techniques has become more fully realized, the field of artificial intelligence has embraced Bayesian methodology and integrated it to the point where an introduction to Bayesian techniques is now a core course in m...

OPENALEX DOI: https://doi.org/10.1201/9780203491294

Artificial intelligence and statistics

Bin Yu, Karl Kumbier • Frontiers of Information Technology & Electronic Engineering (2018)

Artificial intelligence (AI) is intrinsically data-driven. It calls for the application of statistical concepts through human-machine collaboration during the generation of data, the development of algorithms, and the evaluation of results....

OPENALEX Open Access DOI: https://doi.org/10.1631/fitee.1700813

A Risk Identification Method for Ensuring AI-Integrated System Safety for Remotely Controlled Ships with Onboard Seafarers

Changui Lee, Seojeong Lee • Journal of Marine Science and Engineering (2024)

The maritime sector is increasingly integrating Information and Communication Technology (ICT) and Artificial Intelligence (AI) technologies to enhance safety, environmental protection, and operational efficiency. With the introduction of t...

DOAJ Open Access (DOAJ) DOI: 10.3390/jmse12101778

The impact of digitization of the cost accounting system on organizational efficiency and effectiveness in the healthcare sector of the Republic of Serbia

Kristina Spasić, Bojana Novićević Čečević, Ljilja Antić • BizInfo (2024)

The new industrial era has brought new opportunities and chances for the entire business development. Smart machines, artificial intelligence, cloud computing, the Internet of Things, big data are taking over many jobs and roles, thus leavi...

DOAJ Open Access (DOAJ) DOI: 10.5937/bizinfo2402039S

The application of artificial intelligence in clinical diagnosis and treatment of intracranial hemorrhage

Jian-bo CHANG, Ren-zhi WANG, Ming FENG • Chinese Journal of Contemporary Neurology and Neurosurgery (2019)

Both manifestations and treatments of intracranial hemorrhage (ICH) are varied and the effect meets bottlenecks. Recently, the artificial intelligence (AI) technology has developed rapidly. This review aims to help clinicians understand AI ...

DOAJ Open Access (DOAJ)

Math Anxiety

Sian Leah Beilock, Erin A. Maloney • Policy Insights from the Behavioral and Brain Sciences (2015)

The United States is currently not producing enough graduates in science, technology, engineering, and math (STEM) fields to meet the demands of a technology-dependent society. Although there are many efforts in place to improve STEM educat...

OPENALEX DOI: https://doi.org/10.1177/2372732215601438

Fourier Truncation Regularization Method for a Time-Fractional Backward Diffusion Problem with a Nonlinear Source

Fan Yang, Ping Fan, Xiao-Xiao Li, Xin-Yi Ma • Mathematics (2019)

In present paper, we deal with a backward diffusion problem for a time-fractional diffusion problem with a nonlinear source in a strip domain. We all know this nonlinear problem is severely ill-posed, i.e., the solution does not depend cont...

DOAJ Open Access (DOAJ) DOI: 10.3390/math7090865

Research on pH Value Detection Method during Maize Silage Secondary Fermentation Based on Computer Vision

Xianguo Ren, Haiqing Tian, Kai Zhao, Dapeng Li et al. • Agriculture (2022)

pH value is a crucial indicator for evaluating silage quality. In this study, taking maize silage as the research object, a quantitative prediction model of pH value change during the secondary fermentation of maize silage was constructed b...

DOAJ Open Access (DOAJ) DOI: 10.3390/agriculture12101623

InsDD-YOLO: Detection of Transmission Line Insulator Damage Based on the Improved YOLOv13 Model

Phat T. Nguyen, Duy C. Huynh, Loc D. Ho, Ha T. Tran et al. • IEEE Access (2025)

Amidst the rapid global expansion of smart grids, ensuring the safety and reliability of power transmission systems has become paramount. Insulators are critical components of high-voltage transmission lines, providing both electrical insul...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3648259

Characterization of Surface Topography Variation in the Ultra-Precision Tool Servo-Based Diamond Cutting of 3D Microstructured Surfaces

Wei Yuan, Chi-Fai Cheung • Micromachines (2021)

Previous models of the relative tool-work vibration are not generalized to represent the surface generation mechanism in the ultra-precision tool servo-based diamond cutting (UTSDC) of three-dimensional (3D) microstructured surfaces. This i...

DOAJ Open Access (DOAJ) DOI: 10.3390/mi12121448

Structural Features Promoting Photocatalytic Degradation of Contaminants of Emerging Concern: Insights into Degradation Mechanism Employing QSA/PR Modeling

Antonija Tomic, Marin Kovacic, Hrvoje Kusic, Panaghiotis Karamanis et al. • Molecules (2023)

Although heterogeneous photocatalysis has shown promising results in degradation of contaminants of emerging concern (CECs), the mechanistic implications related to structural diversity of chemicals, affecting oxidative (by HO•) or reductiv...

DOAJ Open Access (DOAJ) DOI: 10.3390/molecules28062443

Implementation of Synology NAS-Based Storage System Type DS220+ at LSP-SV IPB

Widodo Bayu, Dewi Renanti Medhanita, Indriasari Sofiyanti, Sastrawan Uding • E3S Web of Conferences (2023)

As the digital world evolves, safeguarding digital assets becomes crucial for organizations, particularly educational institutions. LSP SV-IPB, as a vocational certification body, manages student data, academic records, and other valuable i...

DOAJ Open Access (DOAJ) DOI: 10.1051/e3sconf/202345403011

The value of face-to-face communication in the digital world: What people miss about in-person interactions when those are limited

Jonathan Gruber, Eszter Hargittai, Minh Hao Nguyen • Studies in Communication Sciences (2022)

Face-to-face communication is important for building and maintaining relationships. The COVID-19 pandemic led to severe limitations in people’s face-to-face interactions, resulting in most people relying more heavily on digital communicatio...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.24434/j.scoms.2022.03.3340