Zobrazeno 1 - 10
of 1 261
pro vyhledávání: '"focal loss"'
Publikováno v:
大数据, Vol 10, Pp 109-122 (2024)
Disk, as a crucial storage medium, can result in significant data loss if it malfunctions, causing immeasurable losses for individuals and businesses. Existing models for predicting disk failures have problems such as imbalanced disk data samples and
Externí odkaz:
https://doaj.org/article/a8756310af31486aa90420afea4285ff
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 9, Pp 2370-2383 (2024)
With the informatization of the society, it’s of great practical value to extract useful information from massive textual data available online using tools of NLP (natural language processing). However, the texts collected from social platforms suf
Externí odkaz:
https://doaj.org/article/41a6fc21d7944f7a91a508de9c2b44f1
Autor:
Jamshed Ali Shaikh, Chengliang Wang, Wajeeh Us Sima Muhammad, Muhammad Arshad, Muhammad Owais, Rana Othman Alnashwan, Samia Allaoua Chelloug, Mohammed Saleh Ali Muthanna
Publikováno v:
Frontiers in Digital Health, Vol 6 (2024)
The Internet of Medical Things (IoMT) has revolutionized healthcare with remote patient monitoring and real-time diagnosis, but securing patient data remains a critical challenge due to sophisticated cyber threats and the sensitivity of medical infor
Externí odkaz:
https://doaj.org/article/502ed3c9e9654606ae107a06d99c3cee
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 1, Pp 1333-1348 (2023)
Abstract Model bias is a tricky problem in imbalanced data classification. An asymmetric gradient penalty method is proposed based on the power exponential function to alleviate this. The methodology integrates a power exponential function as a moder
Externí odkaz:
https://doaj.org/article/85facbb40084492d9aaa9dec357894d8
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-15 (2024)
Abstract Background Lysine crotonylation (Kcr) is a crucial protein post-translational modification found in histone and non-histone proteins. It plays a pivotal role in regulating diverse biological processes in both animals and plants, including ge
Externí odkaz:
https://doaj.org/article/353c3214481c44cca61b33c4dce3f862
Publikováno v:
IEEE Access, Vol 12, Pp 146610-146619 (2024)
Agricultural pests significantly impact crop yield and quality, threatening food security and causing economic losses. Therefore, the precise identification of pests is crucial for improving agricultural production. However, traditional pest classifi
Externí odkaz:
https://doaj.org/article/3ba0bc7c4d7449b0b1e03fd58451bf74
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10842-10861 (2024)
Due to the interference of multiplicative speckles, it is challenging to accurately detect changes in polarimetric synthetic aperture radar (PolSAR) images. Convolutional neural network has been proven to learn rich local features from PolSAR data. H
Externí odkaz:
https://doaj.org/article/441926ce1f23407f9def3a482d32dcd7
Publikováno v:
IEEE Access, Vol 12, Pp 3936-3947 (2024)
In this study, we propose a novel lightweight detection model for rebar counting, which is rectified mobilenet lightweight feature pyramid network based on YOLO (RM-LFPN-YOLO). The model incorporates a lightweight backbone network that integrates the
Externí odkaz:
https://doaj.org/article/0e3f91cdf3ca4544bac41da2a66483c1
Publikováno v:
IEEE Access, Vol 12, Pp 1321-1329 (2024)
Table structure recognition (TSR) is crucial for document analysis, particularly for medical examination report tables (MERTs), impacting efficiency and decision-making in healthcare. Most models for TSR utilize either Graph Convolution Neural Networ
Externí odkaz:
https://doaj.org/article/3287a4be2b484096ab2c2a8d01929fab
Autor:
Beatriz P. Garcia-Salgado, Jose A. Almaraz-Damian, Oscar Cervantes-Chavarria, Volodymyr Ponomaryov, Rogelio Reyes-Reyes, Clara Cruz-Ramos, Sergiy Sadovnychiy
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8183 (2024)
Ischemic stroke lesion segmentation in MRI images represents significant challenges, particularly due to class imbalance between foreground and background pixels. Several approaches have been developed to achieve higher F1-Scores in stroke lesion seg
Externí odkaz:
https://doaj.org/article/3a7135172d424f6f8b70fa76d81cd66e