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Academic Articles & Research Papers
Showing 20 of 748 academic articles
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...
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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...
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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...
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Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLIII-B2-2022-485-2022
Nan Zheng, Yongchao Cai, Zehua Zhang, Huimin Zhou et al. • Nature Communications
(2025)
Abstract The pursuit of obtaining enzymes with high activity and stability remains a grail in enzyme evolution due to the stability-activity trade-off. Here, we develop an isothermal compressibility-assisted dynamic squeezing index perturba...
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Open Access (DOAJ)
DOI: 10.1038/s41467-025-55944-5
Cuixia Liu, Meng Meng, Xian Luo • Metals
(2025)
Based on the innovative mode driven by “data + artificial intelligence”, in this study, three methods, namely Gaussian noise (GAUSS Noise), the Generative Adversarial Network (GAN), and the optimized Generative Adversarial Network (GANPro),...
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Open Access (DOAJ)
DOI: 10.3390/met15070733
Iain Cockburn, Rebecca M. Henderson, Scott Stern • University of Chicago Press eBooks
(2019)
Artificial intelligence may greatly increase the efficiency of the existing economy. But it may have an even larger impact by serving as a new general-purpose “method of invention” that can reshape the nature of the innovation process and t...
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Open Access
DOI: https://doi.org/10.7208/chicago/9780226613475.003.0004
Muhammad Nabeel Asim, Muhammad Nabeel Asim, Ahtisham Fazeel, Ahtisham Fazeel et al. • Frontiers in Medicine
(2022)
Viral-host protein-protein interaction (VHPPI) prediction is essential to decoding molecular mechanisms of viral pathogens and host immunity processes that eventually help to control the propagation of viral diseases and to design optimized...
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Open Access (DOAJ)
DOI: 10.3389/fmed.2022.1025887
Dino Petrosa, Pamela Haverkamp, Jana Gerta Backes, David Crampen et al. • Discover Sustainability
(2025)
Abstract The construction sector significantly contributes to environmental issues and often relies on Life Cycle Assessment (LCA) for the quantification and optimization of its environmental impacts. One of the most time- and labour-intens...
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Open Access (DOAJ)
DOI: 10.1007/s43621-025-02203-8
Jian Zhao, Haixia Li, Jing Qu, Jing Qu et al. • Frontiers in Genetics
(2024)
DNA methylation indicates the individual’s aging, so-called Epigenetic clocks, which will improve the research and diagnosis of aging diseases by investigating the correlation between methylation loci and human aging. Although this discover...
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Open Access (DOAJ)
DOI: 10.3389/fgene.2024.1393856
Dirk Czarnitzki A, Gastón P. Fernández, Christian Rammer • Journal of Economic Behavior & Organization
(2023)
Artificial Intelligence (AI) is often regarded as the next general-purpose technology with a rapid, penetrating, and far-reaching use over a broad number of industrial sectors. The main feature of new general-purpose technology is to enable...
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DOI: https://doi.org/10.1016/j.jebo.2023.05.008
Young Joo Yang, Chang Seok Bang • World Journal of Gastroenterology
(2019)
Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technology. By the era of big data, the accumulation of an enormous number of digital images and medical records drove the need for the utilization...
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cc-by-nc
DOI: https://doi.org/10.3748/wjg.v25.i14.1666
PMC: 6465941
Omneya Attallah • Applied Sciences
(2023)
Cervical cancer, among the most frequent adverse cancers in women, could be avoided through routine checks. The Pap smear check is a widespread screening methodology for the timely identification of cervical cancer, but it is susceptible to...
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Open Access (DOAJ)
DOI: 10.3390/app13031916
Ebtisam AlJalaud, Manar Hosny • Mathematics
(2024)
The ‘black box’ nature of machine learning (ML) approaches makes it challenging to understand how most artificial intelligence (AI) models make decisions. Explainable AI (XAI) aims to provide analytical techniques to understand the behavior...
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Open Access (DOAJ)
DOI: 10.3390/math12233727
Hongming Peng, Siyu Xiang, Mingju Chen, Hongyang Li et al. • IEEE Access
(2024)
Road segmentation is an important task in the field of semantic segmentation, and the Deeplabv3+ algorithm, which is commonly used for road segmentation, has shortcomings, such as numerous parameters and a tendency to lose detailed informat...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3416468
Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, Salim Nasar Faraj Mursal et al. • IEEE Access
(2023)
Machine learning (ML) based bearing fault detection is an emerging application of Artificial Intelligence (AI) that has proven its utility in effectively classifying various faults for timely measures. There are myriad studies dedicated to ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3332243
Renjie Wang, Wei Dong Pan, Lei Jin, Yuehan Li et al. • Reproduction
(2019)
Artificial intelligence (AI) has experienced rapid growth over the past few years, moving from the experimental to the implementation phase in various fields, including medicine. Advances in learning algorithms and theories, the availabilit...
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DOI: https://doi.org/10.1530/rep-18-0523
PMC: 6733338
Heather Marriott, Renata Kabiljo, Guy P Hunt, Ahmad Al Khleifat et al. • Acta Neuropathologica Communications
(2023)
Abstract Amyotrophic lateral sclerosis (ALS) displays considerable clinical and genetic heterogeneity. Machine learning approaches have previously been utilised for patient stratification in ALS as they can disentangle complex disease lands...
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Open Access (DOAJ)
DOI: 10.1186/s40478-023-01686-8
Muhammad Aamir, Ziaur Rahman, Uzair Aslam Bhatti, Waheed Ahmed Abro et al. • Scientific Reports
(2025)
Abstract The precise and timely diagnosis of brain tumors is essential for accelerating patient recovery and preserving lives. Brain tumors exhibit a variety of sizes, shapes, and visual characteristics, requiring individualized treatment s...
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Open Access (DOAJ)
DOI: 10.1038/s41598-025-02209-2
Zachi Itzhak Attia, David Harmon, Elijah Raphael Behr, Paul A. Friedman • European Heart Journal
(2021)
Artificial intelligence (AI) has given the electrocardiogram (ECG) and clinicians reading them super-human diagnostic abilities. Trained without hard-coded rules by finding often subclinical patterns in huge datasets, AI transforms the ECG,...
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Open Access
DOI: https://doi.org/10.1093/eurheartj/ehab649
PMC: 8500024
Korawege N. C. Jayasena, Battur Batkhishig, Babak Nahid-Mobarakeh, Ali Emadi • IEEE Access
(2025)
Bearing faults are a critical concern in electrical machines, particularly permanent magnet synchronous motors (PMSMs), commonly used in electric vehicles. Early and accurate classification of bearing fault severity is essential for predict...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3589750