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Academic Articles & Research Papers
Showing 20 of 739 academic articles
Arfat Ahmad Khan, Muhammad Asif Nauman, Rab Nawaz Bashir, Rashid Jahangir et al. • IEEE Access
(2022)
Accurate Evapotranspiration for saline soils (ETs) is important as well as challenging for the reclamation of saline soils through an effective leaching process. Evapotranspiration (ET) by FAO-56 Penman-Monteith standard method is complex, ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3206009
Michela Prunella, Roberto Maria Scardigno, Domenico Buongiorno, Antonio Brunetti et al. • IEEE Access
(2023)
Automatic vision-based inspection systems have played a key role in product quality assessment for decades through the segmentation, detection, and classification of defects. Historically, machine learning frameworks, based on hand-crafted ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3271748
Sebastian Raschka (2015)
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsAbout This BookLeverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effect...
OPENALEX
Yong Wang, Hongwen He, Yuankai Wu, Pei Wang et al. • Engineering
(2025)
An effective energy management strategy (EMS) is essential to optimize the energy efficiency of electric vehicles (EVs). With the advent of advanced machine learning techniques, the focus on developing sophisticated EMS for EVs is increasin...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.eng.2024.10.021
Erik J. Larson • Harvard University Press eBooks
(2021)
Futurists are certain that humanlike AI is on the horizon, but in fact engineers have no idea how to program human reasoning. AI reasons from statistical correlations across data sets, while common sense is based heavily on conjecture. Erik...
OPENALEX
DOI: https://doi.org/10.2307/j.ctv322v43j
Galen Richardson, Sylvain G. Leblanc, Julie Lovitt, Krishan Rajaratnam et al. • Drones
(2021)
Relating ground photographs to UAV orthomosaics is a key linkage required for accurate multi-scaled lichen mapping. Conventional methods of multi-scaled lichen mapping, such as random forest models and convolutional neural networks, heavily...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/drones5030099
Dhanalekshmi Prasad Yedurkar, Shilpa P. Metkar, Fadi Al-Turjman, Thompson Stephan et al. • Sensors
(2022)
A novel approach for multichannel epilepsy seizure classification which will help to automatically locate seizure activity present in the focal brain region was proposed. This paper suggested an Internet of Things (IoT) framework based on a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s22239302
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
Yuchen Cao, Lan Hu, Laurent Kneip • Sensors
(2020)
Simultaneous Localisation And Mapping (SLAM) has long been recognised as a core problem to be solved within countless emerging mobile applications that require intelligent interaction or navigation in an environment. Classical solutions to ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s20092572
Дмитро АНРДЄЄВ, Олексій ЛИГУН, Андрій ДРОЗД, Олена ПОНОЧОВНА • Компютерні системи та інформаційні технології
(2025)
Critical infrastructures are fundamental to the seamless operation of modern societies, encompassing sectors such as energy, healthcare, transportation, and communications. Ensuring their reliability, performance, continuous operation, safe...
DOAJ
Open Access (DOAJ)
DOI: 10.31891/csit-2025-2-3
Pięta Piotr, Szmuc Tomasz • International Journal of Applied Mathematics and Computer Science
(2021)
Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in current research and industrial applications. Processing massive amounts of data generated by the IoT and stored in distributed space is not ...
DOAJ
Open Access (DOAJ)
DOI: 10.34768/amcs-2021-0046
Subhranil Das, Rashmi Kumari, Raghwendra Kishore Singh, Tanupriya Choudhury • Discover Artificial Intelligence
(2026)
Abstract Detecting pests in agricultural fields remains one of the challenging tasks due to the small size of the objects and occlusion effects. In this paper, Trans-Neu-Pest, a hybrid framework, has been proposed by integrating the Swin Tr...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01824-w
Amanuel Kumsa Bojer, Muluneh Woldetsadik Abshare, Fitsum Mesfin, Ayad M. Fadhil Al-Quraishi • Scientific Reports
(2025)
Abstract Climate and land use changes are critical factors affecting watershed water yields, with significant implications for water resources at both local and regional levels. This study examined the combined effects of temporal and spati...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-03493-8
Erikas Lenkevičius, Jolanta Tamošaitienė • Journal of Environmental Engineering and Landscape Management
(2026)
Building sustainability assessment increasingly demands life cycle coverage that captures environmental burdens and trade-offs beyond operational energy, including embodied impacts and end of life (EoL) outcomes under circular economy (CE) ...
DOAJ
Open Access (DOAJ)
DOI: 10.3846/jeelm.2026.27214
Siyuan Liu, Yingchao Fan, Qi Hu, Bing Li et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2025)
Hyperspectral image (HSI) has more spectral information than conventional images, which helps to distinguish targets in a complex scene more accurately. However, HSI typically has a low spatial resolution, which limits their application sce...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/JSTARS.2025.3586076
Ponomareva M.A., Karpukhin D.V., Stolyarova A.N. • E3S Web of Conferences
(2020)
In modern Russia, the FinTech is relevant to the development of the financial segment of the economy. The Government evaluates the prospects of development of artificial intelligence technology, blockchain, big data in the area of budget, t...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/e3sconf/202022403030
Filip Karlo Došilović, Mario Brčić, Nikica Hlupić • International Convention on Information and Communication Technology, Electronics and Microelectronics
(2018)
In the last decade, with availability of large datasets and more computing power, machine learning systems have achieved (super)human performance in a wide variety of tasks. Examples of this rapid development can be seen in image recognitio...
OPENALEX
DOI: https://doi.org/10.23919/mipro.2018.8400040
Ali Taimori, Mathini Sellathurai, Tharmalingam Ratnarajah • IEEE Transactions on Machine Learning in Communications and Networking
(2026)
Communication is a fundamental process in the nature of interconnected entities. Conventional engineering models of information transmission and reception, namely Shannon’s bit communication and Weaver’s semantic communication...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/TMLCN.2026.3716920
Ł. Wilk, Ł. Wilk, D. Mielczarek, W. Ostrowski et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2022)
The use of deep machine learning methods for semantic classification of city mesh models is one of the current trends in geoscience development. Thanks to the thriving development of Convolutional Neural Networks (CNNs) it is now achievable...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLIII-B2-2022-485-2022
Huanbin Chi, Zhi Li, Feng Wang, Xuefen Tian et al. • The Astrophysical Journal
(2026)
We present a deep photometric analysis of the main-sequence (MS) population in the old, metal-rich open cluster (OC) NGC 6791 using Gaia Data Release 3 data. After correcting for differential reddening, we use the Bayesian model comparison ...
DOAJ
Open Access (DOAJ)
DOI: 10.3847/1538-4357/ae690f