Zobrazeno 1 - 10
of 3 743
pro vyhledávání: '"feature analysis"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Rare earth elements (REEs) exhibit diagnostic absorption features in the visible-near infrared region, enabling their detection and identification via spectroscopic methods. Satellite-based remote sensing mapping of REEs, however, has not be
Externí odkaz:
https://doaj.org/article/6c309291940a4701a4624bd2490a1700
Autor:
Samuel P. Border, John E. Tomaszewski, Teruhiko Yoshida, Jeffrey B. Kopp, Jeffrey B. Hodgin, William L. Clapp, Avi Z. Rosenberg, Jill P. Buyon, Pinaki Sarder
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract HistoLens is an open-source graphical user interface developed using MATLAB AppDesigner for visual and quantitative analysis of histological datasets. HistoLens enables users to interrogate sets of digitally annotated whole slide images to e
Externí odkaz:
https://doaj.org/article/d3b33c7071f24ca3a34b44527b736dd1
Autor:
Muhammad Owais Raza, Areej Fatemah Meghji, Naeem Ahmed Mahoto, Mana Saleh Al Reshan, Hamad Ali Abosaq, Adel Sulaiman, Asadullah Shaikh
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract With the increase in the generation and spread of textual content on social media, natural language processing (NLP) has become an important area of research for detecting underlying threats, racial abuse, violence, and implied warnings in t
Externí odkaz:
https://doaj.org/article/43cc61d1c5724955aa961ab0d2396f38
Autor:
Tianyu Wang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract In response to the challenges posed by the high computational complexity and suboptimal classification performance of traditional random forest algorithms when dealing with high-dimensional and noisy non-agricultural vegetation satellite dat
Externí odkaz:
https://doaj.org/article/c8398ba2ab294a0c90ee2b5a38fcf4a1
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 3, Pp 577-595 (2024)
Abstract Aiming at the shortcomings of feature extraction and fault identification in fault diagnosis of wind power converters, a novel method for open circuit fault diagnosis of wind power converters based on variational mode decomposition (VMD) ene
Externí odkaz:
https://doaj.org/article/4561e50e4a7c4b98804d044b15cb39ec
Autor:
Ravi Pandit, Jianlin Wang
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 4, Pp 722-742 (2024)
Abstract The aim of this study is to explore the potential and economic benefits of utilising Supervisory Control and Data Acquisition (SCADA) data to improve wind turbine operation and maintenance activities. The review identifies a gap in the curre
Externí odkaz:
https://doaj.org/article/c6a35a649ce4405c8518389fc67616e6
Publikováno v:
Case Studies in Construction Materials, Vol 21, Iss , Pp e03573- (2024)
The resistance to chloride diffusion is one of the most crucial durable properties of concrete. However, traditional methods to evaluate this property are time-consuming and inefficient. In this research, backpropagation-artificial neural network (BP
Externí odkaz:
https://doaj.org/article/ed3ad6cb8f4d4150a7f3db227df3c456
Publikováno v:
Journal of Pipeline Science and Engineering, Vol 4, Iss 4, Pp 100184- (2024)
Based on the principles and characteristics of distributed fiber optic monitoring technology, this paper introduces the current research progress in identifying fiber optic vibration signals in oil and gas pipelines and summarizes their applications.
Externí odkaz:
https://doaj.org/article/23be972978b840dba95e07cf2c7cf88f
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
Depth of processing vocabulary has been the subject of heated discussion among vocabulary researchers. Yet, current literature lacks research comparing different tasks to investigate the acquisition of vocabulary knowledge among adult learners of Eng
Externí odkaz:
https://doaj.org/article/d7c14761057d4fd48a203ca0d0a8b17c
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100604- (2024)
In recent years, the increasing number of connected devices and the exponential growth of data generated by these devices have posed significant challenges for intrusion detection systems (IDS) in fog computing environments. However, conventional IDS
Externí odkaz:
https://doaj.org/article/e499031a884b475794099d72020aa508