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Academic Articles & Research Papers
Showing 20 of 2,687 academic articles
Zhao D, Qin D, Yin L, Yang Q • Pharmacogenomics and Personalized Medicine
(2023)
Danya Zhao,1 Danping Qin,2 Liming Yin,3 Qiang Yang4 1The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, People’s Republic of China; 2Department of Gastroenterology, The First Affiliated Hospital of Zheji...
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John B. O. Mitchell • Wiley Interdisciplinary Reviews Computational Molecular Science
(2014)
Machine learning algorithms are generally developed in computer science or adjacent disciplines and find their way into chemical modeling by a process of diffusion. Though particular machine learning methods are popular in chemoinformatics ...
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DOI: https://doi.org/10.1002/wcms.1183
PMC: 4180928
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...
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DOI: 10.26650/ISTJECON2025-1707729
Ajay Dadhich, Jaideep Patel, Rovin Tiwari, Richa Verma et al. • Healthcare Analytics
(2024)
Mind-wandering (MW) is when an individual’s concentration drifts away from the task or activity. Researchers found a greater variability in electroencephalogram (EEG) signals due to MW. Collecting more nuanced information from raw EEG data ...
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DOI: 10.1016/j.health.2023.100286
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 ...
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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...
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DOI: 10.3390/make8100299
Tomasz Rokicki, Piotr Bórawski, Aneta Bełdycka-Bórawska, Bogdan Klepacki • Applied Sciences
(2026)
Port activity anomalies are rare but may signal operational constraints relevant to supply chains. The aim of the study was to develop and empirically evaluate a calibrated machine learning framework for forecasting rare, algorithmically de...
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DOI: 10.3390/app16189017
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...
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DOI: 10.3389/fbuil.2026.1829950
Ahmed Medhat Zayed, Arne Janssens, Pavlos Mamouris, Nicolas Delvaux • BMC Medical Informatics and Decision Making
(2024)
Abstract Background The integrity of clinical research and machine learning models in healthcare heavily relies on the quality of underlying clinical laboratory data. However, the preprocessing of this data to ensure its reliability and acc...
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DOI: 10.1186/s12911-024-02652-7
G. Baaklini, G. Baaklini, R. El Hourany, M. Fakhri et al. • Ocean Science
(2022)
The eastern Mediterranean surface circulation is highly energetic and composed of structures interacting stochastically. However, some main features are still debated, and the behavior of some fine-scale dynamics and their role in shaping t...
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DOI: 10.5194/os-18-1491-2022
Saiqing Chen, Chunxia Zhang, Yueting Yu • Frontiers in Cardiovascular Medicine
(2025)
BackgroundHeart failure (HF) represents the terminal phase of multiple cardiovascular conditions and is associated with significant morbidity and mortality rates. Arachidonic acid (AA), an essential fatty acid, plays a crucial role in modul...
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DOI: 10.3389/fcvm.2025.1625064
Shifu Liu • Applied Sciences
(2026)
Accurate identification of runway base-course parameters is an important basis for structural condition assessment, yet separating base-course elastic modulus, thickness, and local damage from runway responses under moving aircraft loads re...
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DOI: 10.3390/app16188983
Jian Liu, Fangyu Liu, Linbing Wang • Journal of Traffic and Transportation Engineering (English ed. Online)
(2024)
The increasing impact of the greenhouse effect on ecosystems is prompting transportation agencies to seek methods for reducing CO2 emissions during pavement construction and maintenance. Additionally, the laboratory mix design process, whic...
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DOI: 10.1016/j.jtte.2023.10.002
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 ...
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DOI: 10.1109/ACCESS.2023.3271748
Zishwa Muhammad Jauhar Nafis, Rahmatun Nazilla, Rega Nugraha, Shofwatul ’Uyun Shofwatul ’Uyun • Komputika
(2024)
Seiring dengan perkembangan jumlah penggunaan Internet of Things yang terus meningkat dan meluas. Ancaman keamanan pada jaringan IoT juga meningkat. Terdapat beberapa teknik yang diterapkan untuk mengatasi ancaman keamanan ini. Salah satuny...
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DOI: 10.34010/komputika.v13i2.12609
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...
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S. Sra, S. Nowozin, Stephen J. Wright • The MIT Press eBooks
(2011)
An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning is one of the most important developments ...
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DOI: https://doi.org/10.7551/mitpress/8996.001.0001
Christian Janiesch, Patrick Zschech, Kai Heinrich • Electronic Markets
(2021)
Abstract Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-specific training data to automate the process of a...
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DOI: https://doi.org/10.1007/s12525-021-00475-2
Majid Riaz, Pedro Guerra, Raffaele Gravina • Sensors
(2025)
This paper introduces an innovative EEG sensor-based computational framework that establishes a pioneering nexus between personality trait quantification and neural dynamics, leveraging biosignal processing of brainwave activity to elucidat...
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DOI: 10.3390/s25247634
Ashraf abdallah, Bara' Al-MISTAREHI, Amir SHTAYAT • JES: Journal of Engineering Sciences
(2025)
Agriculture is a vital component of Egypt's economy; therefore, using Digital Elevation Models (DEMs) in agricultural planning in Egypt has significant benefits regarding water management, site appropriateness assessment, flood risk mitigat...
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DOI: 10.21608/jesaun.2024.326709.1374