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Dmitry Molchanov,Valentina Baranyuk
Pág. 55 - 59
The volumes of processed, analyzed and used data are increasing with the development of information technologies. In this regard, the issue of storing information is becoming more and more urgent.There are many possibilities for transferring, loading and...
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Dmitry Molchanov,Valentina Baranyuk
Pág. 55 - 59
The volumes of processed, analyzed and used data are increasing with the development of information technologies. In this regard, the issue of storing information is becoming more and more urgent.There are many possibilities for transferring, loading and...
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Ramamurthi Deeptha,Rajeswari Mukesh
Pág. 8 - 14
Single sign-on (SSO) is an emerging and more secure authentication mechanism that enables an authorized user with a single username/password to be authenticated by many service providers in a distributed network system. The existing technique used SSO sc...
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Federica Paganelli,Stefano Turchi,Lorenzo Bianchi,Lucia Ciofi,Maria Chiara Pettenati,Franco Pirri,Dino Giuli
Pág. 14 - 23
Radio Frequency Identification (RFID) techniques are considered relevant building blocks for the Internet of Things. The interoperability across different RFID software and hardware infrastructures is a key requirement for achieving effective and wide-sc...
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Preethika Kasu, Prince Hamandawana and Tae-Sun Chung
Various components are involved in the end-to-end path of data transfer. Protecting data integrity from failures in these intermediate components is a key feature of big data transfer tools. Although most of these components provide some degree of data i...
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Ke Li, Mingju Wang, Yixin Liu, Nan Yu and Wei Lan
The classification of hyperspectral data using deep learning methods can obtain better results than the previous shallow classifiers, but deep learning algorithms have some limitations. These algorithms require a large amount of data to train the network...
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Viktor Masalskyi, Dominykas Ciciurenas, Andrius Dzedzickis, Urte Prentice, Gediminas Braziulis and Vytautas Bucinskas
This paper addresses the challenge of synchronizing data acquisition from independent sensor systems in a local network. The network comprises microcontroller-based systems that collect data from physical sensors used for monitoring human gait. The synch...
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Yingcong Huang, Kunal Chaturvedi, Al-Akhir Nayan, Mohammad Hesam Hesamian, Ali Braytee and Mukesh Prasad
Parkinson?s disease (PD) is a chronic brain disorder affecting millions worldwide. It occurs when brain cells that produce dopamine, a chemical controlling movement, die or become damaged. This leads to PD, which causes problems with movement, balance, a...
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Ismail Shahin, Ali Bou Nassif, Rameena Thomas and Shibani Hamsa
Modern developments in machine learning methodology have produced effective approaches to speech emotion recognition. The field of data mining is widely employed in numerous situations where it is possible to predict future outcomes by using the input se...
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Muhammad Asad Arshed, Shahzad Mumtaz, Muhammad Ibrahim, Saeed Ahmed, Muhammad Tahir and Muhammad Shafi
Skin cancer, particularly melanoma, has been recognized as one of the most lethal forms of cancer. Detecting and diagnosing skin lesions accurately can be challenging due to the striking similarities between the various types of skin lesions, such as mel...
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Kayal Lakshmanan, Matt Roach, Cinzia Giannetti, Shubham Bhoite, David George, Tim Mortensen, Manduhu Manduhu, Behzad Heravi, Sharadha Kariyawasam and Xianghua Xie
Vehicle detection in parking areas provides the spatial and temporal utilisation of parking spaces. Parking observations are typically performed manually, limiting the temporal resolution due to the high labour cost. This paper uses simulated data and tr...
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Marcin Kolodziej, Andrzej Majkowski, Remigiusz J. Rak and Przemyslaw Wiszniewski
One approach employed in brain?computer interfaces (BCIs) involves the use of steady-state visual evoked potentials (SSVEPs). This article examines the capability of artificial intelligence, specifically convolutional neural networks (CNNs), to improve S...
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Mohammad H. Nadimi-Shahraki, Zahra Asghari Varzaneh, Hoda Zamani and Seyedali Mirjalili
Feature selection is an NP-hard problem to remove irrelevant and redundant features with no predictive information to increase the performance of machine learning algorithms. Many wrapper-based methods using metaheuristic algorithms have been proposed to...
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Yuansheng Dai, Yingyi Liu, Haoyu Song, Bing He, Haiwen Yuan and Boyang Zhang
Classification tasks are pivotal across diverse applications, yet the burgeoning amount of data, coupled with complicating factors such as noise, exacerbates the challenge of classifying complex data. For algorithms that require a large amount of data, t...
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Ziyu Xu, Tianhe Gao, Zengcong Li, Qingjie Bi, Xiongwei Liu and Kuo Tian
As the key load-bearing component of spacecraft, the strength evaluation of stiffened plate structures faces two challenges. On the one hand, the simulation results are sometimes inaccurate, due to the simplification of the true loading conditions and mo...
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Yanrui Zhai, Xiran Zhou and Honghao Li
The emergence of the third information wave makes extensive maps available to be generated by volunteered ways, never specially designed and generated by professional institutes alone. These large-scale images-based volunteered maps created by the public...
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Siyu Qi, Minxue He, Raymond Hoang, Yu Zhou, Peyman Namadi, Bradley Tom, Prabhjot Sandhu, Zhaojun Bai, Francis Chung, Zhi Ding, Jamie Anderson, Dong Min Roh and Vincent Huynh
Salinity management in estuarine systems is crucial for developing effective water-management strategies to maintain compliance and understand the impact of salt intrusion on water quality and availability. Understanding the temporal and spatial variatio...
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Luyan Zhou, Peiru Yan, Zhongkai Han, Zhao Zhang, Xiaohui Lei and Hao Wang
Manning?s roughness coefficient (nc" role="presentation">????nc
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) is an important parameter characterizing the flow capacity of water transfer channels, and it is also an important and sensitive parameter in one-dimensional (1D) flow simulation. This...
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Shiyu Zhang, Jianguo Kong, Chao Chen, Yabin Li and Haijun Liang
The rise of end-to-end (E2E) speech recognition technology in recent years has overturned the design pattern of cascading multiple subtasks in classical speech recognition and achieved direct mapping of speech input signals to text labels. In this study,...
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Yi-Quan Li, Hao-Sen Chang and Daw-Tung Lin
In the field of computer vision, large-scale image classification tasks are both important and highly challenging. With the ongoing advances in deep learning and optical character recognition (OCR) technologies, neural networks designed to perform large-...
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