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Big Data with Cloud Computing: Discussions and Challenges
Published 2022-03-01“…They eliminate various requirements, such as dedicated space and maintenance of expensive computer hardware and software. Handling big data is a time-consuming task that requires large computational clusters to ensure successful data storage and processing. …”
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An Improved Genetic Algorithm for Developing Deterministic OTP Key Generator
Published 2017-01-01“…There are three reasons behind the use of LCG: it is easy to implement, it can run efficiently on computer hardware, and it has good statistical properties. …”
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Application of OpenMP to Wireline Triaxial Induction Logging in 1D Layered Anisotropic Medium
Published 2012-01-01“…With the aggressive advancement of various high-performance computing techniques and computer hardware technology, it is possible to significantly improve the efficiency of the forward modeling. …”
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Next-Generation Sequencing and Epigenomics Research: A Hammer in Search of Nails
Published 2014-03-01“…Unprecedented advances in next-generation sequencing (NGS) technologies, by virtue of low cost and high speeds that continue to improve at a rate beyond what is anticipated by Moore's law for computer hardware technologies, have revolutionized molecular biology and genetics research, and have in turn prompted innovative ways to reduce the problem of measuring cellular events involving DNA or RNA into a sequencing problem. …”
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High Performance Computing of Complex Electromagnetic Algorithms Based on GPU/CPU Heterogeneous Platform and Its Applications to EM Scattering and Multilayered Medium Structure
Published 2017-01-01“…With fruitful numerical examples and their obvious enhancement in efficiencies, it is convincing to keep on deeply investigating and understanding the computer hardware and their operating mechanism in the future.…”
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A Surrogate Model for Studying Solar Energetic Particle Transport and the Seed Population
Published 2023-12-01“…Our models, EPREM‐S, run thousands to millions of times faster (depending on computer hardware), making simulation‐based inference workflows practicable in SEP studies while providing predictive uncertainty estimates using a deep ensemble approach.…”
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The Fault Diagnosis of Rolling Bearing Based on Improved Deep Forest
Published 2021-01-01“…At the same time, it has very few hyperparameters and very low requirements on computer hardware.…”
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Software and Hardware Development of Madrasah Ibtidaiyah Student's Fitness Evaluation based on Hexagonal Obstacle Microcontroller (Evabugar Mikrohexo)
Published 2023-10-01“…This field of agility really needs a touch of technological information, such as software and computer hardware, to help overcome problems that arise in this development. …”
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Online Distance Learning During Covid-19 Pandemic: An Empirical Analysis Over the Students’ Opinions
Published 2021-12-01“…The main reasons for this conclusion were inadequate infrastructure, internet access problems and unfair competition caused by the lack of computer hardware, especially in the ongoing education throughout the country. …”
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Research of Simulation in Character Animation Based on Physics Engine
Published 2017-01-01“…Computer 3D character animation essentially is a product, which is combined with computer graphics and robotics, physics, mathematics, and the arts. It is based on computer hardware and graphics algorithms and related sciences rapidly developed new technologies. …”
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Sentiment Analysis from Face Expressions Based on Image Processing Using Deep Learning Methods
Published 2022-12-01“…This study conducted to demonstrate that real-time expression recognition systems based on deep learning techniques with the most appropriate architecture can be implemented with high accuracy via computer hardware with only one software. In addition, it is shown that high accuracy rate is achieved in real-time applications when Histograms of Oriented Gradients (HOG) is used as a feature extraction method and ResNet architecture is used for classification.…”
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Evolution of CFD as an engineering science. A personal perspective with emphasis on the finite volume method
Published 2024-06-01“…Recent developments in machine learning, AI, computer hardware, big data, IOT and Virtual Reality tools will lead to design tools with CFD engines that are robust, reliable and easily accessible to a practicing engineer rather than be the domain of a CFD expert. …”
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Employee Training and The Adoption of E-Government in Local Governments in Uganda: A Case Study of Jinja Local Government
Published 2025“…We concluded that Employee Training significantly affected the adoption of e-government in Jinja local government ; The researchers vehemently recommended the need for continuous training of the Jinja District Local government staff in computer hardware and software as these would improve on their skills in those areas which would be very critical in helping the staff to undertake the E-government adoption tasks easily and also contribute to a positive attitude towards electronic work among the staff in Local governments in Uganda, the researchers further recommended the need for local government top officials to always consult with, and involve all the relevant the staff of the local governments on how ICTs hardware and software trainings would be conducted and as would always ensure fruitful trainings which would propel ensure efficiency and effectiveness among staff in using the e-government plat forms in Local Governments in Uganda.…”
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Process-dependent ferroelectric and memristive properties in polycrystalline Ca:HfO2-based devices
Published 2025-01-01“…Memristors are considered key building blocks for developing neuromorphic or in-memory computing hardware. Here, we study the ferroelectric and memristive response of Pt/Ca:HfO2/Pt devices fabricated on silicon by spin-coating from chemical solution deposition followed by a pyrolysis step and a final thermal treatment for crystallization at 800°C for 90 s. …”
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Development status and trend prospect of computing power infrastructure
Published 2022-06-01“…The development of digital technology drives the change and revolution of computing power infrastructure.The computing power infrastructure mainly referes to hardware and software infrastructure related to cloud computing, edge computing, end computing, as well as cutting-edge computing power infrastructure such as quantum computing.Firstly, the basic computing hardware and software facilities were discussed, and the development of data center towards diversification, intelligence, and greening was summarized.Secondly, the current technologies and development trends of cloud computing, edge computing and end computing were discussed.The form of the computing power infrastructure has developed from typical intensive cloud computing to multi-level, ubiquitous, converged cloud-edge-end computing.Finally, the current technologies and development of quantum computing were summarized, which was regarded as the key technologies of the next generation information revolution, with a view to provide reference for the research and development of computing power infrastructure.…”
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Hardware-Efficient Design of Real-Time Profile Shape Matching Stereo Vision Algorithm on FPGA
Published 2014-01-01“…A variety of platforms, such as micro-unmanned vehicles, are limited in the amount of computational hardware they can support due to weight and power constraints. …”
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High-integrated photonic tensor core utilizing high-dimensional lightwave and microwave multidomain multiplexing
Published 2025-01-01“…Abstract The burgeoning volume of parameters in artificial neural network models has posed substantial challenges to conventional tensor computing hardware. Benefiting from the available optical multidimensional information entropy, optical intelligent computing is used as an alternative solution to address the emerging challenges of electrical computing. …”
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Low-power edge detection based on ferroelectric field-effect transistor
Published 2025-01-01“…However, efficient edge detection is difficult in a resource-constrained environment, especially edge-computing hardware. Here, we report a low-power edge detection hardware system based on HfO2-based ferroelectric field-effect transistor, which is one of the most potential non-volatile memories for energy-efficient computing. …”
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