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Academic Articles & Research Papers
Showing 20 of 405 academic articles
Sohail Ahmad, Felix Creutzig • Environmental Research Letters
(2019)
India’s land transport GHG emissions are small in international comparison, but growing exponentially. Understanding of geographically-specific determinants of GHG emissions is crucial to devise low-carbon sustainable development strategies...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1748-9326/ab011f
Neusa R. Adão Martins, Neusa R. Adão Martins, Simon Annaheim, Christina M. Spengler et al. • Frontiers in Physiology
(2021)
The objective measurement of fatigue is of critical relevance in areas such as occupational health and safety as fatigue impairs cognitive and motor performance, thus reducing productivity and increasing the risk of injury. Wearable systems...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fphys.2021.790292
C. Roychoudhury, R. Kumar, C. He, W. Y. Y. Cheng et al. • Earth System Science Data
(2026)
We present MATCHA (Model for Atmospheric Transport and Chemistry in Asia), a 17-year (2003–2019) regional hydroclimate-chemical reanalysis for Asia (58–140° E, 4– 40° N) at 12 km resolution. MATCHA couples the Weather Research and Forecasti...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/essd-18-5209-2026
Silvânia Alves Braga de Castro, André Carlos Silva • REM: International Engineering Journal
(2024)
Abstract The modeling of mineral deposits has been improved over the years with the incorporation of mineralogical and metallurgical information obtained from drilling samples that make up the pillars for the construction of resource models...
DOAJ
Open Access (DOAJ)
DOI: 10.1590/0370-44672023770071
T. Nageshkumar, Prateek Shrivastava, L. Ammayapan, Manisha Jagadale et al. • Journal of Natural Fibers
(2025)
Machine learning model coupled with graphical user interface was developed to predict mechanical properties of flax fiber. The experiment was conducted using test setup which applies constant rate of loading (CRL). Flax fiber was tested und...
DOAJ
Open Access (DOAJ)
DOI: 10.1080/15440478.2025.2502662
Musa Gün, Ahmet Akusta, Haydar Karadağ • İstanbul İktisat Dergisi
(2025)
This study aims to examine the impact of macro-financial indicators on the housing sales volume in Türkiye and evaluate the forecasting performance of traditional time-series models versus modern machine-learning algorithms. Using monthly d...
DOAJ
Open Access (DOAJ)
DOI: 10.26650/ISTJECON2025-1707729
Sun-Feel Yang, So-Won Choi, Eul-Bum Lee • Energies
(2023)
The ongoing Russia–Ukraine conflict has exacerbated the global crisis of natural gas supply, particularly in Europe. During the winter season, major importers of liquefied natural gas (LNG), such as South Korea and Japan, were directly affe...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en16114271
Heechan Han, Boran Kim, Kyunghun Kim, Donghyun Kim et al. • Water Science and Technology
(2023)
Precipitation is one of the driving forces in water cycles, and it is vital for understanding the water cycle, such as surface runoff, soil moisture, and evapotranspiration. However, missing precipitation data at the observatory becomes an ...
DOAJ
Open Access (DOAJ)
DOI: 10.2166/wst.2023.237
Vinicius de Carvalho Rispoli, Alan Müller, Weverson Garcia Medeiros, Marília Miranda Forte Gomes et al. • Machine Learning and Knowledge Extraction
(2026)
Structured clinical variables may complement fundus photographs, but the most appropriate point at which to integrate them into a retinal foundation model remains uncertain. This study compares an image-only baseline with three strategies f...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/make8100299
Ammar Alnmr, Ammar Alnmr, Rashad Alsirawan, Haidar Hosamo et al. • Frontiers in Built Environment
(2026)
Efficient and reliable design of Geosynthetic Reinforced Pile-Supported (GRPS) embankments on soft ground remains challenging due to the complex nonlinear soil–structure interaction and the high computational cost of repeated numerical anal...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fbuil.2026.1829950
Ployrada Suvarnakuta, Intouch Prakaisak, Pittipol Kantavat, Boonserm Kijsirikul et al. • Engineered Science
(2025)
This study proposes a machine learning framework for predicting perceived urban quality of life (QoL) by integrating visual features from street-level imagery with personal attributes, including demographic, socioeconomic, and travel behavi...
DOAJ
Open Access (DOAJ)
DOI: 10.30919/es1972
Felix Menne, Felix Dörr, Julia Schräder, Johannes Tröger et al. • BMC Psychiatry
(2024)
Abstract Background Psychiatry faces a challenge due to the lack of objective biomarkers, as current assessments are based on subjective evaluations. Automated speech analysis shows promise in detecting symptom severity in depressed patient...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12888-024-06253-6
Julian Cendrero, Julio Gonzalo, Marcos Galletero, Ivar Zapata • IEEE Access
(2022)
A time-series of numerical data and a sequence of time-ordered documents are often correlated. This paper aims at modeling the impact that the underlying themes discussed in the text data have on the time series. To do so, we introduce an o...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3202960
S J Watts, L Crow • Machine Learning: Science and Technology
(2025)
In recent years generative artificial intelligence has been used to create data to support scientific analysis. For example, generative adversarial networks (GANs) have been trained using Monte Carlo simulated input and then used to generat...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/2632-2153/add78d
Hoda Zamani, Mohammad H. Nadimi-Shahraki, Seyedali Mirjalili • International Journal of Computational Intelligence Systems
(2026)
Abstract —Large-scale engineering optimization problems, characterized by hundreds or thousands of decision variables, complex constraints, and highly nonlinear objective functions, present significant challenges for conventional optimizati...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44196-026-01291-2
suzy elnokoudy • المجلة العلمية للدراسات والبحوث المالية والتجارية
(2025)
The present paper, thus, investigates the link between AI-disclosure in annual reports and firm performance in the Egyptian financial industry. It explains how the number of appertained AI-words in the corporate disclosures would correspond...
DOAJ
Open Access (DOAJ)
DOI: 10.21608/cfdj.2024.326666.2065
Francesco Toscano, Costanza Fiorentino, Nicola Capece, Ugo Erra et al. • IEEE Access
(2024)
Digital Precision Agriculture (DPA) is a comprehensive approach to agronomic management that utilizes advanced technologies, such as sensor data analysis and automation, to optimize crop productivity, enhance farm income, and minimize envir...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3401018
Francis Mawuli Abude, Jones Odei-Mensah, Eric Schaling • Communicare
(2024)
Central bank communication is a valuable source of information designed to shape the expectations of economic agents within and outside an economy. In particular, the content of Monetary Policy Committees’ press releases and statements refl...
DOAJ
Open Access (DOAJ)
DOI: 10.36615/jcsa.v43i1.2779
Leena Ahmad Alfarani, Seham Saleh Alnafea • Scientific Journal of King Faisal University: Humanities and Management Sciences
(2020)
This study aimed to identify the extent of, as well as the obstacles encountered, while using artificial intelligence technologies in enrichment programs in Saudi gifted and talented centres. A descriptive analytical approach was used and a...
DOAJ
Open Access (DOAJ)
DOI: https://doi.org/10.37575/h/edu/2198
Christian Basile, Stefan D. Anker, Gianluigi Savarese • Global Cardiology
(2025)
Heart failure with reduced ejection fraction (HFrEF) exhibits significant sex-based differences in clinical presentation, management, and outcomes. This study aimed to evaluate these differences using data from the Swedish Heart Failure Reg...
DOAJ
Open Access (DOAJ)
DOI: 10.4081/cardio.2025.73