Zobrazeno 1 - 10
of 48 661
pro vyhledávání: '"Encoder"'
Autor:
Jingyi Yu, Runjiang Dou, Wennong Zhang, Xiuyu Wang, Jiangtao Xu, Jian Liu, Nanjian Wu, Liyuan Liu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The rotary motor plays a pivotal role in various motion execution mechanisms. However, an inherent issue arises during the initial installation of the encoder grating, namely, eccentricity between the centers of the encoder grating and motor
Externí odkaz:
https://doaj.org/article/02e69a030d9b4e4b8c3046e2b7c64bd8
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Distributed denial of service (DDoS) attack is one of the most hazardous assaults in cloud computing or networking. By depleting resources, this attack renders the services unavailable to end users and leads to significant financial and repu
Externí odkaz:
https://doaj.org/article/f1dc4436eedd48b29bb369f860339c1b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-28 (2024)
Abstract To tackle the challenge of low accuracy in stock prediction within high-noise environments, this paper innovatively introduces the CED-PSO-StockNet time series model. Initially, the model decomposes raw stock data using the Complete Ensemble
Externí odkaz:
https://doaj.org/article/be0d816fe82a4937bd6fa28eb23664e5
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-16 (2024)
Abstract Background RNA secondary structural alignment serves as a foundational procedure in identifying conserved structural motifs among RNA sequences, crucially advancing our understanding of novel RNAs via comparative genomic analysis. While vari
Externí odkaz:
https://doaj.org/article/edc36e75fedd42a1a9ba86348eae56e8
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 11, Pp 3015-3026 (2024)
Event detection is a key task in the field of natural language processing, aiming to identify event trigger words and correctly classify their event types. Sentence-level event detection methods fail to effectively utilize intra-sentence and inter-se
Externí odkaz:
https://doaj.org/article/ad60caec67124c9ca2a1935b0d565fe1
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-21 (2024)
Abstract Background: As noncoding RNAs, circular RNAs (circRNAs) can act as microRNA (miRNA) sponges due to their abundant miRNA binding sites, allowing them to regulate gene expression and influence disease development. Accurately identifying circRN
Externí odkaz:
https://doaj.org/article/30041016389946d5a4968f979d48941d
Publikováno v:
Medičnì Perspektivi, Vol 29, Iss 3, Pp 96-107 (2024)
The main purpose of this work was to investigate the possibility of detecting respiratory diseases in audio recordings of lung auscultation using modern deep learning tools, as well as to explore the possibility of using data augmentation by generati
Externí odkaz:
https://doaj.org/article/0fc63349b4e04fb68330339a6361f679
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-22 (2024)
Abstract Background Long non-coding RNAs (lncRNAs) can prevent, diagnose, and treat a variety of complex human diseases, and it is crucial to establish a method to efficiently predict lncRNA-disease associations. Results In this paper, we propose a p
Externí odkaz:
https://doaj.org/article/e13ac069253f423d91b6a59442be05b0
Autor:
Usama Irshad, Rabbia Mahum, Ismaila Ganiyu, Faisal Shafique Butt, Lotfi Hidri, Tamer G. Ali, Ahmed M. El-Sherbeeny
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-18 (2024)
Abstract Over the past decade, the prevalence of neurological diseases has significantly risen due to population growth and aging. Individuals suffering from spastic paralysis, brain attack, and idiopathic Parkinson’s disease (PD), among other neur
Externí odkaz:
https://doaj.org/article/def87428b45b4bd0977d224a9fa0ba3d
Autor:
Rasika Gupta
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 9, Iss 5, Pp 1163-1184 (2024)
The fields of image processing and computer vision have witnessed significant growth due to the proliferation of digital images across diverse domains. Image Segmentation is the fundamental task in digital image processing, finding applications in pi
Externí odkaz:
https://doaj.org/article/518f08730dfc43d59f2fb1b8cfa39ab4