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Academic Articles & Research Papers
Showing 20 of 675 academic articles
Dhurgham Ali Mohammed, Kalyani A. Patel • ICTACT Journal on Soft Computing
(2025)
In text sentiment analysis, a crucial challenge is that conventional word vectors fail to capture lexical ambiguity. The Gated Recurrent Unit (GRU), an advanced variant of RNN, is extensively utilized in natural language processing tasks su...
DOAJ
Open Access (DOAJ)
DOI: 10.21917/ijsc.2025.0518
David John Lary, Amir H. Alavi, Amir H. Gandomi, Annette L. Walker • Geoscience Frontiers
(2015)
Learning incorporates a broad range of complex procedures. Machine learning (ML) is a subdivision of artificial intelligence based on the biological learning process. The ML approach deals with the design of algorithms to learn from machine...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.gsf.2015.07.003
Hilal M. El Misilmani, Tarek Naous • International Conference on High Performance Computing & Simulation (HPCS)
(2019)
With the growth and wide variety of available data, advanced processing, and affordable data storage, machine learning is witnessing great attention in finding optimized solutions in various fields. Machine learning techniques are currently...
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DOI: https://doi.org/10.1109/hpcs48598.2019.9188224
Rahul C. Deo • Circulation
(2015)
Spurred by advances in processing power, memory, storage, and an unprecedented wealth of data, computers are being asked to tackle increasingly complex learning tasks, often with astonishing success. Computers have now mastered a popular va...
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Open Access
DOI: https://doi.org/10.1161/circulationaha.115.001593
PMC: 5831252
Binbin Chen, Shengjie Long • IEEE Access
(2020)
In traditional financial analysis discriminant analyses with statistic methods are considered as primary and widely applied corporate credit rating bases in which human impact plays an essential role. Machine learning approaches enormously ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3036469
Bardia Abbasi, Daniel M. Goldenholz • Epilepsia
(2019)
Machine learning leverages statistical and computer science principles to develop algorithms capable of improving performance through interpretation of data rather than through explicit instructions. Alongside widespread use in image recogn...
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Open Access
DOI: https://doi.org/10.1111/epi.16333
PMC: 9897263
Ifiok Udoidiok, Fuhao Li, Jielun Zhang • Information
(2025)
Machine learning (ML) has become a cornerstone of critical applications, but its vulnerability to data poisoning attacks threatens system reliability and trustworthiness. Prior studies have begun to investigate the impact of data poisoning ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info17010009
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
Peter A. Flach • Cambridge University Press eBooks
(2012)
As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing...
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DOI: https://doi.org/10.1017/cbo9780511973000
Kurosh Madani, Dominik M. Ramik, Cristophe Sabourin • Applied Computational Intelligence and Soft Computing
(2012)
As part of “intelligence,” the “awareness” is the state or ability to perceive, feel, or be mindful of events, objects, or sensory patterns: in other words, to be conscious of the surrounding environment and its interactions. Inspired by ea...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2012/354785
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
Peter Vas (1999)
Abstract Recently artificial-intelligence-based techniques (fuzzy logic, neural networks, fuzzy-neural networks, genetic algorithms, etc) have received increased attention world-wide and at present two industrial drives incorporate some for...
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DOI: https://doi.org/10.1093/oso/9780198593973.001.0001
Yingtao Zhang, Wenhe Li, Yang Wu, Huili Wei • Applied Sciences
(2026)
The leakage detection of oil and gas is very important for the safe operation of pipelines. The existing working condition recognition methods have limitations in processing and capturing complex multi-category leakage signal characteristic...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16010480
Xue Han, Jing Cao, Zi Wang, Heng Luo • Behavioral Sciences
(2026)
This study examines how agent type (customized vs. general-purpose) and feedback style (Socratic vs. directive) are associated with learners’ engagement with artificial intelligence (AI)-generated feedback in self-directed learning (SDL), w...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bs16071069
Haoliang Wang, Zarina Shukur, Khairul Akram Zainol Ariffin, Renhao Xiao et al. • Scientific Reports
(2025)
Abstract In recent years, online examinations have been widely adopted because of their flexibility, but the covert and diverse nature of cheating behaviour poses a serious challenge to the fairness and integrity of examinations. Existing a...
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Open Access (DOAJ)
DOI: 10.1038/s41598-025-18412-0
Bernd W. Wirtz, Jan C. Weyerer, Carolin Geyer • International Journal of Public Administration
(2018)
Advances in artificial intelligence (AI) have attracted great attention from researchers and practitioners and have opened up a broad range of beneficial opportunities for AI usage in the public sector. Against this background, there is an ...
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DOI: https://doi.org/10.1080/01900692.2018.1498103
Joanna Joy Bryson • Oxford University Press eBooks
(2020)
Abstract This chapter provides an overview of the nature and implications of artificial intelligence (AI), with particular attention to how they impinge on possible applications to and of law. Any artifact that transforms perception to more...
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DOI: https://doi.org/10.1093/oxfordhb/9780190067397.013.1
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
Hao Xu, Yuntian Chen, Dongxiao Zhang • Advanced Science
(2022)
Abstract The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the “black box” model. Fundamental limitations remain, however, that impede the pac...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/advs.202204723