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A robust and uncertainty-aware machine learning framework for PM2.5 prediction in a coastal urban Indian environment: implications for sustainable air quality management

Salvator Lawrence, Srimuruganandam Bhathmanabhan • Sustainable Environment Research (2026)

Abstract Accurate prediction of fine particulate matter (PM2.5) remains challenging because atmospheric processes are nonlinear, nonstationary, and influenced by temporal variability, measurement uncertainty, and episodic pollution events. ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s42834-026-00296-y

RFID Applications and Security Review

Cesar Munoz-Ausecha, Juan Ruiz-Rosero, Gustavo Ramirez-Gonzalez • Computation (2021)

Radio frequency identification (RFID) is widely used in several contexts, such as logistics, supply chains, asset tracking, and health, among others, therefore drawing the attention of many researchers. This paper presents a review of the m...

DOAJ Open Access (DOAJ) DOI: 10.3390/computation9060069

Integrating Business Intelligence and Operations Research for Sustainable Supply Chain Systems: A Systematic Review

Rui Pedro Marques, Dorabella Santos • Systems (2025)

This systematic review explores how business intelligence (BI) and operations research (OR) help organizations ensure sustainable practices in supply chain management (SCM). Drawing on 56 peer-reviewed studies, this review synthesizes how B...

DOAJ Open Access (DOAJ) DOI: 10.3390/systems13121111

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

An Object-Based Image Analysis Method for Monitoring Land Conversion by Artificial Sprawl Use of RapidEye and IRS Data

Maud Balestrat, Stéphane Dupuy, Eric Barbe • Remote Sensing (2012)

In France, in the peri-urban context, urban sprawl dynamics are particularly strong with huge population growth as well as a land crisis. The increase and spreading of built-up areas from the city centre towards the periphery takes place to...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs4020404

Reference vegetation for restoration? Three vegetation maps compared across 76 nature reserves in Uganda and Kenya

Jens‐Peter Barnekow Lillesø, Davide Barsotti, James Kalema, Paulo vanBreugel et al. • Ecosphere (2024)

Abstract Forest and landscape restoration are increasingly popular nature‐based solutions to mitigate climate change and safeguard biodiversity. Restoration planning and monitoring implies that a reference ecosystem has been defined to whic...

DOAJ Open Access (DOAJ) DOI: 10.1002/ecs2.70030

Pixel-Accurate Registration of Photogrammetric Images and LiDAR in a Hybrid Airborne Oblique Imaging System

D. Deng, R. Qin, R. Qin, E. M. Farella et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2026)

Hybrid airborne imaging systems integrating oblique photogrammetric cameras and LiDAR sensors provide complementary geometric and radiometric information for high-fidelity 3D reconstruction. While LiDAR offers stable global geometric accura...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-archives-XLIX-B2-2026-143-2026

A Novel Dual-Domain Filtering Method to Improve GNSS Performance Based on a Dynamic Model Constructed by TDCP

Fangchao Li, Jingxiang Gao, Nanshan Zheng, Cheng Pan et al. • IEEE Access (2020)

To overcome the strikes from the tremendous noise of pseudorange and the integer ambiguity of carrier phase observation, we developed a novel dual-domain filtering method that integrates the traditional observation- and an innovative positi...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.2990132

Evaluating Load-Conditional Convergence in Lithium-Ion Battery Degradation: A Matched-Group Statistical Framework

Nnamdi C. Aronwora, Chibuzo Nwabufo Okwuosa, Jang-Wook Hur • IEEE Access (2026)

The rate of capacity fade in a lithium-ion battery following a transition to a new discharge current is widely assumed to equal that of a battery that has always operated at the destination current, an implicit premise referred to here as l...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2026.3732470

Online Classification of Road Roughness Conditions with Vehicle Unsprung Mass Acceleration by Sliding Time Window

Zhongxing Li, Wenhao Yu, Xiaoli Cui • Shock and Vibration (2018)

Suspension control systems are in need for more information of road roughness conditions to improve their performance under different roads. Existing methods of gauging road roughness are limited, and they usually involve visual inspections...

DOAJ Open Access (DOAJ) DOI: 10.1155/2018/5131434

Identification of DDIT4 as a potential prognostic marker associated with chemotherapeutic and immunotherapeutic response in triple-negative breast cancer

Xuanzhao Chen, Zeyan Li, Meihua Liang, Ziyang Zhang et al. • World Journal of Surgical Oncology (2023)

Abstract Background Triple-negative breast cancer (TNBC) is the most heterogenous and aggressive subtype of breast cancer. Chemotherapy remains the standard treatment option for patients with TNBC owing to the unavailability of acceptable t...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12957-023-03078-7

The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use

S. Leyk, S. Leyk, A. E. Gaughan, A. E. Gaughan et al. • Earth System Science Data (2019)

Population data represent an essential component in studies focusing on human–nature interrelationships, disaster risk assessment and environmental health. Several recent efforts have produced global- and continental-extent gridded populati...

DOAJ Open Access (DOAJ) DOI: 10.5194/essd-11-1385-2019

A Graph Neural Networks-Based Learning Framework With Hyperbolic Embedding for Personalized Tag Recommendation

Chunmei Zhang, Aoran Zhang, Li Zhang, Yonghong Yu et al. • IEEE Access (2024)

Learning high-quality representations of users, items, and tags from historical interactive data is crucial for personalized tag recommendation (PTR) systems. Currently, most PTR models are committed to learning representations from first-o...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3347249

Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits

Mateus H. Gouveia, Amy R. Bentley, Hampton Leonard, Karlijn A. C. Meeks et al. • Scientific Reports (2021)

Abstract Genome-wide association studies (GWAS) have identified thousands of genetic loci associated with cross-sectional blood pressure (BP) traits; however, GWAS based on longitudinal BP have been underexplored. We performed ethnic-specif...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-021-83450-3

Botnet detection using graph-based feature clustering

Sudipta Chowdhury, Mojtaba Khanzadeh, Ravi Akula, Fangyan Zhang et al. • Journal of Big Data (2017)

Abstract Detecting botnets in a network is crucial because bots impact numerous areas such as cyber security, finance, health care, law enforcement, and more. Botnets are becoming more sophisticated and dangerous day-by-day, and most of the...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40537-017-0074-7

Investigating late-time cosmology using Finsler-Randers geometry and Barthel connection: Observational constraints and implications

J. Praveen, S.K. Narasimhamurthy • Nuclear Physics B (2025)

In this study we explore cosmological anisotropies and dark energy using Finsler-Randers geometry, an extension of Riemannian geometry that incorporates directional dependence in the spacetime structure. We investigate whether Finslerian mo...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nuclphysb.2025.116899

A compact model for the home healthcare routing and scheduling problem

Roberto Montemanni, Sara Ceschia, Andrea Schaerf • EURO Journal on Computational Optimization (2025)

Home healthcare has become more and more central in the last decades, due to the advantages it can bring to both healthcare institutions and patients. Planning activities in this context, however, presents significant challenges related to ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ejco.2024.100101