Home »
Academic Articles & Research Papers
Showing 20 of 2,356 academic articles
Yue Cao, Thomas A. Geddes, Jean Yee Hwa Yang, Pengyi Yang • Nature Machine Intelligence
(2020)
OPENALEX
DOI: https://doi.org/10.1038/s42256-020-0217-y
Nicole Rusk • Nature Methods
(2015)
OPENALEX
DOI: https://doi.org/10.1038/nmeth.3707
Kenji Suzuki • Radiological Physics and Technology
(2017)
OPENALEX
DOI: https://doi.org/10.1007/s12194-017-0406-5
Wei Zhi, Alison Appling, Heather E. Golden, Joel E. Podgorski et al. • Nature Water
(2024)
OPENALEX
Open Access
DOI: https://doi.org/10.1038/s44221-024-00202-z
PMC: 11151732
Paschalis Bizopoulos, Dimitris Koutsouris • IEEE Reviews in Biomedical Engineering
(2018)
The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data....
OPENALEX
Open Access
DOI: https://doi.org/10.1109/rbme.2018.2885714
Pramila P. Shinde, Seema Shah • International Conference on Computing Communication Control and automation
(2018)
Machine learning is one of the fields in the modern computing world. A plenty of research has been undertaken to make machines intelligent. Learning is a natural human behavior which has been made an essential aspect of the machines as well...
OPENALEX
DOI: https://doi.org/10.1109/iccubea.2018.8697857
Josh Patterson, Gibson Adam (2017)
Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learningespecially deep neural networksmake a real difference in your organization? This han...
OPENALEX
Hongming Chen, Ola Engkvist, Yinhai Wang, Marcus Olivecrona et al. • Drug Discovery Today
(2018)
Over the past decade, deep learning has achieved remarkable success in various artificial intelligence research areas. Evolved from the previous research on artificial neural networks, this technology has shown superior performance to other...
OPENALEX
cc-by
DOI: https://doi.org/10.1016/j.drudis.2018.01.039
Shi Dong, Ping Wang, Khushnood Abbas • Computer Science Review
(2021)
OPENALEX
DOI: https://doi.org/10.1016/j.cosrev.2021.100379
Amitha Mathew, P. Amudha, S. Sivakumari • Advances in intelligent systems and computing
(2020)
OPENALEX
DOI: https://doi.org/10.1007/978-981-15-3383-9_54
Blake A. Richards, Timothy Lillicrap, Philippe Beaudoin, Yoshua Bengio et al. • Nature Neuroscience
(2019)
OPENALEX
Open Access
DOI: https://doi.org/10.1038/s41593-019-0520-2
PMC: 7115933
Zhong‐Qiu Zhao, Peng Zheng, Shou-Tao Xu, Xindong Wu • IEEE Transactions on Neural Networks and Learning Systems
(2019)
Due to object detection's close relationship with video analysis and image understanding, it has attracted much research attention in recent years. Traditional object detection methods are built on handcrafted features and shallow trainable...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tnnls.2018.2876865
Jiasi Chen, Xukan Ran • Proceedings of the IEEE
(2019)
Deep learning is currently widely used in a variety of applications, including computer vision and natural language processing. End devices, such as smartphones and Internet-of-Things sensors, are generating data that need to be analyzed in...
OPENALEX
DOI: https://doi.org/10.1109/jproc.2019.2921977
Erik Gawehn, Jan A. Hiss, Gisbert Schneider • Molecular Informatics
(2015)
Artificial neural networks had their first heyday in molecular informatics and drug discovery approximately two decades ago. Currently, we are witnessing renewed interest in adapting advanced neural network architectures for pharmaceutical ...
OPENALEX
DOI: https://doi.org/10.1002/minf.201501008
Khawja Imran Masud, Md Yasin Zihad, Mehedi Hasan Shuvo, Mst Raonik Jannat et al. • PLoS ONE
(2026)
Early and real-time detection of rice leaf diseases (RLD) poses a significant challenge for farmers, especially in rural regions with limited access to advanced technology. Conventional deep learning models often require substantial computa...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0356383
Srigiri Krishnapriya, Yepuganti Karuna • Frontiers in Oncology
(2024)
IntroductionBrain tumors are a common disease that affects millions of people worldwide. Considering the severity of brain tumors (BT), it is important to diagnose the disease in its early stages. With advancements in the diagnostic process...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fonc.2024.1347363
Fangzhou Liu, Yang Zhao, Jiqiao Chen, Ting Luo • EAI Endorsed Transactions on Energy Web
(2026)
Power distribution network fault handling imposes stringent requirements on both response timeliness and decision reliability. The high penetration of distributed renewable generation, the widespread deployment of power-electronic devices, ...
DOAJ
Open Access (DOAJ)
DOI: 10.4108/ew.13683
Lulu Jia, Qing Yang, Hanchen Jiang, Gang Huang et al. • BMC Medical Imaging
(2025)
Abstract Background The P53-mutated Hepatocellular Carcinoma (HCC) is an aggressive variant associated with vascular endothelial growth factor (VEGF) overexpression and increased microvascular density. This study aimed to develop an MRI-bas...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12880-025-02045-w
Yihan Chen, Xingyu Gu, Zhen Liu, Jia Liang • Remote Sensing
(2022)
Traditional automatic pavement distress detection methods using convolutional neural networks (CNNs) require a great deal of time and resources for computing and are poor in terms of interpretability. Therefore, inspired by the successful a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs14081877
Sandro Skansi • Undergraduate topics in computer science
(2018)
OPENALEX
DOI: https://doi.org/10.1007/978-3-319-73004-2